WorldWideScience

Sample records for modeling stakeholder decision

  1. Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making

    International Nuclear Information System (INIS)

    Alfaro, Jose F.; Miller, Shelie; Johnson, Jeremiah X.; Riolo, Rick R.

    2017-01-01

    Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on typical stakeholder preferences. We demonstrate the utility of this approach with a case study based on a “blank-slate” scenario, which begins without generation or transmission infrastructure, for the long-term rural renewable energy plans of Liberia, West Africa. We consider five electrification strategies: prioritizing larger populations, deploying large resources, creating jobs, providing economic stimulus, and step-wise cost minimization. Through the case study we demonstrate how this approach can be used to engage stakeholders, supplement more established energy planning tools, and illustrate the effects of stakeholder decisions and preferences on the performance of the system. - Highlights: • An Agent Based Model, BABSTER, for electrification planning is presented. • BABSTER provides a highly engaging spatially resolved interface. • Allows flexible investigation of decision strategies with real-world incentives. • We show that decision strategies directly impact centralization and resource choice. • It is illustrated through the case study of Liberia, West Africa.

  2. Stakeholder Risk Management in Ethical Decision Making

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    Stakeholder management has for the last three decades been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models instead of the staticism that characterizes some models....... This paper offers an ‘Organic Stakeholder Model’ based on decision making theory, risk assessment and adaption to a rapidly changing world combined with appropriate stakeholder theory for ethical purposes in decision making processes in businesses. The ‘Organic Stakeholder Model’ is based on empirical...... evidence from hybrid organizations as Publicly Owned Enterprises (POEs) mixed of private corporations and political administration. The model offers a new way of combining risk management with ethical decisionmaking processes by the inclusion of multiple stakeholders. Not only does the model apply...

  3. Stakeholder engagement in dredged material management decisions.

    Science.gov (United States)

    Collier, Zachary A; Bates, Matthew E; Wood, Matthew D; Linkov, Igor

    2014-10-15

    Dredging and disposal issues often become controversial with local stakeholders because of their competing interests. These interests tend to manifest themselves in stakeholders holding onto entrenched positions, and deadlock can result without a methodology to move the stakeholder group past the status quo. However, these situations can be represented as multi-stakeholder, multi-criteria decision problems. In this paper, we describe a case study in which multi-criteria decision analysis was implemented in a multi-stakeholder setting in order to generate recommendations on dredged material placement for Long Island Sound's Dredged Material Management Plan. A working-group of representatives from various stakeholder organizations was formed and consulted to help prioritize sediment placement sites for each dredging center in the region by collaboratively building a multi-criteria decision model. The resulting model framed the problem as several alternatives, criteria, sub-criteria, and metrics relevant to stakeholder interests in the Long Island Sound region. An elicitation of values, represented as criteria weights, was then conducted. Results show that in general, stakeholders tended to agree that all criteria were at least somewhat important, and on average there was strong agreement on the order of preferences among the diverse groups of stakeholders. By developing the decision model iteratively with stakeholders as a group and soliciting their preferences, the process sought to increase stakeholder involvement at the front-end of the prioritization process and lead to increased knowledge and consensus regarding the importance of site-specific criteria. Published by Elsevier B.V.

  4. The necessary burden of involving stakeholders in agent-based modelling for education and decision-making

    Science.gov (United States)

    Bommel, P.; Bautista Solís, P.; Leclerc, G.

    2016-12-01

    We implemented a participatory process with water stakeholders for improving resilience to drought at watershed scale, and for reducing water pollution disputes in drought prone Northwestern Costa Rica. The purpose is to facilitate co-management in a rural watershed impacted by recurrent droughts related to ENSO. The process involved designing "ContaMiCuenca", a hybrid agent-based model where users can specify the decisions of their agents. We followed a Companion Modeling approach (www.commod.org) and organized 10 workshops that included research techniques such as participatory diagnostics, actor-resources-interaction and UML diagrams, multi-agents model design, and interactive simulation sessions. We collectively assessed the main water issues in the watershed, prioritized their importance, defined the objectives of the process, and pilot-tested ContaMiCuenca for environmental education with adults and children. Simulation sessions resulted in debates about the need to improve the model accuracy, arguably more relevant for decision-making. This helped identify sensible knowledge gaps in the groundwater pollution and aquifer dynamics that need to be addressed in order to improve our collective learning. Significant mismatches among participants expectations, objectives, and agendas considerably slowed down the participatory process. The main issue may originate in participants expecting technical solutions from a positivist science, as constantly promoted in the region by dole-out initiatives, which is incompatible with the constructivist stance of participatory modellers. This requires much closer interaction of community members with modellers, which may be hard to attain in the current research practice and institutional context. Nevertheless, overcoming these constraints is necessary for a true involvement of water stakeholders to achieve community-based decisions that facilitate integrated water management. Our findings provide significant guidance for

  5. Decision insight into stakeholder conflict for ERN.

    Energy Technology Data Exchange (ETDEWEB)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

    2012-02-01

    . Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  6. An MCDA and GIS coupling conceptual model to be used in a circular decision process by stakeholders involved in large wind farm projects

    Energy Technology Data Exchange (ETDEWEB)

    Vazquez, M. [Quebec Univ., Rimouski, PQ (Canada). Laboratoire de Recherche en Energie Eolienne; Quebec Univ., Montreal, PQ (Canada). GEIGER; Waaub, J.P. [Quebec Univ., Montreal, PQ (Canada). GEIGER; Ilinca, A. [Quebec Univ., Rimouski, PQ (Canada). Laboratoire de Recherche en Energie Eolienne

    2010-07-01

    This poster presentation described an MCDA and geographic information system (GIS) coupling conceptual model designed for use in stakeholder decision-making processes for large wind farm projects. The model was comprised of 4 modules and 4 stakeholder categories that considered the environment and communities involved in the project. The integrated modelling approach was designed to ensure a transparent decision-making process. The modules included: (1) an MCDA module, (2) a local expertise and scientific knowledge module, (3) a stakeholder involvement module, and (4) a participatory GIS module. The model can be used to structure issues during consultation procedures, as well as to conduct preference analyses and to identify indicators. Examples of stakeholder weighting were included. tabs., figs.

  7. Engaging stakeholders for adaptive management using structured decision analysis

    Science.gov (United States)

    Irwin, Elise R.; Kathryn, D.; Kennedy, Mickett

    2009-01-01

    Adaptive management is different from other types of management in that it includes all stakeholders (versus only policy makers) in the process, uses resource optimization techniques to evaluate competing objectives, and recognizes and attempts to reduce uncertainty inherent in natural resource systems. Management actions are negotiated by stakeholders, monitored results are compared to predictions of how the system should respond, and management strategies are adjusted in a “monitor-compare-adjust” iterative routine. Many adaptive management projects fail because of the lack of stakeholder identification, engagement, and continued involvement. Primary reasons for this vary but are usually related to either stakeholders not having ownership (or representation) in decision processes or disenfranchisement of stakeholders after adaptive management begins. We present an example in which stakeholders participated fully in adaptive management of a southeastern regulated river. Structured decision analysis was used to define management objectives and stakeholder values and to determine initial flow prescriptions. The process was transparent, and the visual nature of the modeling software allowed stakeholders to see how their interests and values were represented in the decision process. The development of a stakeholder governance structure and communication mechanism has been critical to the success of the project.

  8. Understanding and Modeling Freight Stakeholder Behavior

    Science.gov (United States)

    2012-04-01

    This project developed a conceptual model of private-sector freight stakeholder decisions and interactions for : forecasting freight demands in response to key policy variables. Using East Central Wisconsin as a study area, empirical : models were de...

  9. Modelling with stakeholders - Next generation

    Science.gov (United States)

    Voinov, Alexey; Kolagani, Nagesh; McCall, Michael K; Glynn, Pierre D.; Kragt, Marit E; Ostermann, Frank O; Pierce, Suzanne A; Ramu, Palaniappan

    2016-01-01

    This paper updates and builds on ‘Modelling with Stakeholders’ Voinov and Bousquet, 2010 which demonstrated the importance of, and demand for, stakeholder participation in resource and environmental modelling. This position paper returns to the concepts of that publication and reviews the progress made since 2010. A new development is the wide introduction and acceptance of social media and web applications, which dramatically changes the context and scale of stakeholder interactions and participation. Technology advances make it easier to incorporate information in interactive formats via visualization and games to augment participatory experiences. Citizens as stakeholders are increasingly demanding to be engaged in planning decisions that affect them and their communities, at scales from local to global. How people interact with and access models and data is rapidly evolving. In turn, this requires changes in how models are built, packaged, and disseminated: citizens are less in awe of experts and external authorities, and they are increasingly aware of their own capabilities to provide inputs to planning processes, including models. The continued acceleration of environmental degradation and natural resource depletion accompanies these societal changes, even as there is a growing acceptance of the need to transition to alternative, possibly very different, life styles. Substantive transitions cannot occur without significant changes in human behaviour and perceptions. The important and diverse roles that models can play in guiding human behaviour, and in disseminating and increasing societal knowledge, are a feature of stakeholder processes today.

  10. Stakeholder Risk Management in Ethical Decision Making

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    Stakeholder management has for the last three decades been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models instead of the staticism that characterizes some models....... management models does – for the sake of the wider social responsibilities of the businesses and its stakeholders.......Stakeholder management has for the last three decades been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models instead of the staticism that characterizes some models...... evidence from hybrid organizations as Publicly Owned Enterprises (POEs) mixed of private corporations and political administration. The model offers a new way of combining risk management with ethical decisionmaking processes by the inclusion of multiple stakeholders. Not only does the model apply...

  11. A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: From cognitive maps to agent-based models

    NARCIS (Netherlands)

    El-Sawah, Sondoss; Guillaume, Joseph H.A.; Filatova, Tatiana; Rook, Josefine; Jakeman, Anthony J.

    2015-01-01

    This paper aims to contribute to developing better ways for incorporating essential human elements in decision making processes for modelling of complex socio-ecological systems. It presents a step-wise methodology for integrating perceptions of stakeholders (qualitative) into formal simulation

  12. A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: from cognitive maps to agent-based models.

    Science.gov (United States)

    Elsawah, Sondoss; Guillaume, Joseph H A; Filatova, Tatiana; Rook, Josefine; Jakeman, Anthony J

    2015-03-15

    This paper aims to contribute to developing better ways for incorporating essential human elements in decision making processes for modelling of complex socio-ecological systems. It presents a step-wise methodology for integrating perceptions of stakeholders (qualitative) into formal simulation models (quantitative) with the ultimate goal of improving understanding and communication about decision making in complex socio-ecological systems. The methodology integrates cognitive mapping and agent based modelling. It cascades through a sequence of qualitative/soft and numerical methods comprising: (1) Interviews to elicit mental models; (2) Cognitive maps to represent and analyse individual and group mental models; (3) Time-sequence diagrams to chronologically structure the decision making process; (4) All-encompassing conceptual model of decision making, and (5) computational (in this case agent-based) Model. We apply the proposed methodology (labelled ICTAM) in a case study of viticulture irrigation in South Australia. Finally, we use strengths-weakness-opportunities-threats (SWOT) analysis to reflect on the methodology. Results show that the methodology leverages the use of cognitive mapping to capture the richness of decision making and mental models, and provides a combination of divergent and convergent analysis methods leading to the construction of an Agent Based Model. Copyright © 2014 Elsevier Ltd. All rights reserved.

  13. Application of stakeholder-based and modelling approaches for supporting robust adaptation decision making under future climatic uncertainty and changing urban-agricultural water demand

    Science.gov (United States)

    Bhave, Ajay; Dessai, Suraje; Conway, Declan; Stainforth, David

    2016-04-01

    Deep uncertainty in future climate change and socio-economic conditions necessitates the use of assess-risk-of-policy approaches over predict-then-act approaches for adaptation decision making. Robust Decision Making (RDM) approaches embody this principle and help evaluate the ability of adaptation options to satisfy stakeholder preferences under wide-ranging future conditions. This study involves the simultaneous application of two RDM approaches; qualitative and quantitative, in the Cauvery River Basin in Karnataka (population ~23 million), India. The study aims to (a) determine robust water resources adaptation options for the 2030s and 2050s and (b) compare the usefulness of a qualitative stakeholder-driven approach with a quantitative modelling approach. For developing a large set of future scenarios a combination of climate narratives and socio-economic narratives was used. Using structured expert elicitation with a group of climate experts in the Indian Summer Monsoon, climatic narratives were developed. Socio-economic narratives were developed to reflect potential future urban and agricultural water demand. In the qualitative RDM approach, a stakeholder workshop helped elicit key vulnerabilities, water resources adaptation options and performance criteria for evaluating options. During a second workshop, stakeholders discussed and evaluated adaptation options against the performance criteria for a large number of scenarios of climatic and socio-economic change in the basin. In the quantitative RDM approach, a Water Evaluation And Planning (WEAP) model was forced by precipitation and evapotranspiration data, coherent with the climatic narratives, together with water demand data based on socio-economic narratives. We find that compared to business-as-usual conditions options addressing urban water demand satisfy performance criteria across scenarios and provide co-benefits like energy savings and reduction in groundwater depletion, while options reducing

  14. Connecting Systems Model Design to Decision-Maker and Stakeholder Needs: Lessons from Louisiana's Coastal Master Plan

    Science.gov (United States)

    Fischbach, J. R.; Johnson, D.

    2017-12-01

    of policy makers and CPRA managers. While changes will be illustrated through examples from Louisiana's 2017 Coastal Master Plan, we endeavor to provide generalizable and actionable insights about how modeling choices should be guided by the decision support process being used by planners.

  15. CSR Model Implementation from School Stakeholder Perspectives

    Science.gov (United States)

    Herrmann, Suzannah

    2006-01-01

    Despite comprehensive school reform (CSR) model developers' best intentions to make school stakeholders adhere strictly to the implementation of model components, school stakeholders implementing CSR models inevitably make adaptations to the CSR model. Adaptations are made to CSR models because school stakeholders internalize CSR model practices…

  16. A successful effort to involve stakeholders in a facility siting decision using LIPS with stakeholder involvement

    International Nuclear Information System (INIS)

    Merkhofer, L.; Conway, R.; Anderson, B.

    1995-01-01

    Local public opposition to federal bureaucratic decisions has resulted in public agencies rethinking the role of stakeholders in decision making. Efforts to include stakeholders directly in the decision-making process are on the increase. Unfortunately, many attempts to involve members of the public in decisions involving complex technical issues have failed. A key problem has been defining a meaningful role for the public in the process of arriving at a technical decision. This paper describes a successful effort by Sandia National Laboratories (SNL) in New Mexico to involve stakeholders in an important technical decision associated with its Environmental Restoration (ER) Project. The decision was where to locate a Corrective Action Management Unit (CAMU), a facility intended to consolidate and store wastes generated from the cleanup of hazardous waste sites. A formal priority setting process known as the Laboratory Integration Prioritization System (LIPS) was adapted to provide an approach for involving the public. Although rarely applied to stakeholder participation, the LIPS process proved surprisingly effective. It produced a consensus over a selected site and enhanced public trust and understanding of Project activities

  17. Smart Mobility Stakeholders - Curating Urban Data & Models

    Energy Technology Data Exchange (ETDEWEB)

    Sperling, Joshua [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-09-01

    This presentation provides an overview of the curation of urban data and models through engaging SMART mobility stakeholders. SMART Mobility Urban Science Efforts are helping to expose key data sets, models, and roles for the U.S. Department of Energy in engaging across stakeholders to ensure useful insights. This will help to support other Urban Science and broader SMART initiatives.

  18. COMMUNICATION STRATEGY ABOUT BUSINESS MODELS: STAKEHOLDERS PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    Bojoagă Alexandru

    2013-07-01

    Full Text Available Organizations inform stakeholders about their current and future activities, processes, created value, strategic intentions, and other information that may influence the established relationships. Organizations choose to communicate with stakeholders by different means and in varied ways. The annual report represents a way of communicating between companies and their stakeholders, and it is offering comprehensive information about how companies operates and creates value. The business model is an emerging concept in management literature and practice. The concept describes the logic by which a organization creates, maintains and delivers value for its stakeholders. Through annual reports organisations can communicate to stakeholders information about their business models.We investigated how information about business models is explicitly communicated through annual reports, and how this information is reffering to stakeholders. Our paper aims to reveal which stakeholders are more often mentioned when organizations are communicating about business models through annual reports. This approach shows the attention degree given by organizations to stakeholders. We perceived this from a strategic point of view, as a strategic signal. Thus, we considered if the stakeholder is mentioned more frequent in the communicated message it has a greater role in communication strategy about business model. We conducted an exploratory research and have realized a content analysis.The analysed data consist in over a thousand annual reports from 96 organizations. We analysed the informations transmitted by organizations through annual reports. The annual reports were for a time period of 12 years. Most of the selected companies are multi-business, and are operating in different industries. The results show the stakeholder’s hierarchy based on how often they were mentioned in the communicated messages about business models through annual reports. Based on our

  19. The Process and Impact of Stakeholder Engagement in Developing a Pediatric Intensive Care Unit Communication and Decision-Making Intervention.

    Science.gov (United States)

    Michelson, Kelly N; Frader, Joel; Sorce, Lauren; Clayman, Marla L; Persell, Stephen D; Fragen, Patricia; Ciolino, Jody D; Campbell, Laura C; Arenson, Melanie; Aniciete, Danica Y; Brown, Melanie L; Ali, Farah N; White, Douglas

    2016-12-01

    Stakeholder-developed interventions are needed to support pediatric intensive care unit (PICU) communication and decision-making. Few publications delineate methods and outcomes of stakeholder engagement in research. We describe the process and impact of stakeholder engagement on developing a PICU communication and decision-making support intervention. We also describe the resultant intervention. Stakeholders included parents of PICU patients, healthcare team members (HTMs), and research experts. Through a year-long iterative process, we involved 96 stakeholders in 25 meetings and 26 focus groups or interviews. Stakeholders adapted an adult navigator model by identifying core intervention elements and then determining how to operationalize those core elements in pediatrics. The stakeholder input led to PICU-specific refinements, such as supporting transitions after PICU discharge and including ancillary tools. The resultant intervention includes navigator involvement with parents and HTMs and navigator-guided use of ancillary tools. Subsequent research will test the feasibility and efficacy of our intervention.

  20. Stakeholders apply the GRADE evidence-to-decision framework to facilitate coverage decisions.

    Science.gov (United States)

    Dahm, Philipp; Oxman, Andrew D; Djulbegovic, Benjamin; Guyatt, Gordon H; Murad, M Hassan; Amato, Laura; Parmelli, Elena; Davoli, Marina; Morgan, Rebecca L; Mustafa, Reem A; Sultan, Shahnaz; Falck-Ytter, Yngve; Akl, Elie A; Schünemann, Holger J

    2017-06-01

    Coverage decisions are complex and require the consideration of many factors. A well-defined, transparent process could improve decision-making and facilitate decision-maker accountability. We surveyed key US-based stakeholders regarding their current approaches for coverage decisions. Then, we held a workshop to test an evidence-to-decision (EtD) framework for coverage based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. A total of 42 individuals (including 19 US stakeholders as well as international health policymakers and GRADE working group members) attended the workshop. Of the 19 stakeholders, 14 (74%) completed the survey before the workshop. Almost all of their organizations (13 of 14; 93%) used systematic reviews for coverage decision-making; few (2 of 14; 14%) developed their own evidence synthesis; a majority (9 of 14; 64%) rated the certainty of evidence (using various systems); almost all (13 of 14; 93%) denied formal consideration of resource use; and half (7 of 14; 50%) reported explicit criteria for decision-making. At the workshop, stakeholders successfully applied the EtD framework to four case studies and provided narrative feedback, which centered on contextual factors affecting coverage decisions in the United States, the need for reliable data on subgroups of patients, and the challenge of decision-making without formal consideration of resource use. Stakeholders successfully applied the EtD framework to four case studies and highlighted contextual factors affecting coverage decisions and affirmed its value. Their input informed the further development of a revised EtD framework, now publicly available (http://gradepro.org/). Published by Elsevier Inc.

  1. Buried Waste Integrated Demonstration stakeholder involvement model

    International Nuclear Information System (INIS)

    Kaupanger, R.M.; Kostelnik, K.M.; Milam, L.M.

    1994-04-01

    The Buried Waste Integrated Demonstration (BWID) is a program funded by the US Department of Energy (DOE) Office of Technology Development. BWID supports the applied research, development, demonstration, and evaluation of a suite of advanced technologies that together form a comprehensive remediation system for the effective and efficient remediation of buried waste. Stakeholder participation in the DOE Environmental Management decision-making process is critical to remediation efforts. Appropriate mechanisms for communication with the public, private sector, regulators, elected officials, and others are being aggressively pursued by BWID to permit informed participation. This document summarizes public outreach efforts during FY-93 and presents a strategy for expanded stakeholder involvement during FY-94

  2. The prioritisation of invasive alien plant control projects using a multi-criteria decision model informed by stakeholder input and spatial data

    CSIR Research Space (South Africa)

    Forsyth, GG

    2012-07-01

    Full Text Available operations in the Western Cape, South Africa. Stakeholder workshops were held to identify a goal and criteria and to conduct pair-wise comparisons to weight the criteria with respect to invasive alien plant control. The combination of stakeholder input (to...

  3. DO STAKEHOLDERS MATTER IN STRATEGIC DECISION MAKING OF A SPORTS ORGANIZATION?

    Directory of Open Access Journals (Sweden)

    Dina Alexandra Marques Miragaia

    2014-10-01

    Full Text Available This study aims to identify and prioritize the stakeholders involved in making decisions in a sports organization. A multiple linear regression analysis was used to assess the influence of the attributes of power, legitimacy and urgency on the salience of the various stakeholders. The results showed a convergence of external and internal decision makers’ perceptions, concerning the three main stakeholder groups: top management, sponsors and member association. Pearson correlations identified four types of stakeholder: definitive, dangerous, demanding and non-stakeholders. A generalized differentiation was also found in stakeholder classification, regarding evaluation of attributes, between external and internal decision makers. In addition, the study suggests the success of organizations’ management will depend on correct identification of stakeholders and consequent assessment of their relevance, in order to highlight who should get priority, and how, in strategic decision making.

  4. Providing guidance for genomics-based cancer treatment decisions: insights from stakeholder engagement for post-prostatectomy radiation therapy.

    Science.gov (United States)

    Abe, James; Lobo, Jennifer M; Trifiletti, Daniel M; Showalter, Timothy N

    2017-08-24

    Despite the emergence of genomics-based risk prediction tools in oncology, there is not yet an established framework for communication of test results to cancer patients to support shared decision-making. We report findings from a stakeholder engagement program that aimed to develop a framework for using Markov models with individualized model inputs, including genomics-based estimates of cancer recurrence probability, to generate personalized decision aids for prostate cancer patients faced with radiation therapy treatment decisions after prostatectomy. We engaged a total of 22 stakeholders, including: prostate cancer patients, urological surgeons, radiation oncologists, genomic testing industry representatives, and biomedical informatics faculty. Slides were at each meeting to provide background information regarding the analytical framework. Participants were invited to provide feedback during the meeting, including revising the overall project aims. Stakeholder meeting content was reviewed and summarized by stakeholder group and by theme. The majority of stakeholder suggestions focused on aspects of decision aid design and formatting. Stakeholders were enthusiastic about the potential value of using decision analysis modeling with personalized model inputs for cancer recurrence risk, as well as competing risks from age and comorbidities, to generate a patient-centered tool to assist decision-making. Stakeholders did not view privacy considerations as a major barrier to the proposed decision aid program. A common theme was that decision aids should be portable across multiple platforms (electronic and paper), should allow for interaction by the user to adjust model inputs iteratively, and available to patients both before and during consult appointments. Emphasis was placed on the challenge of explaining the model's composite result of quality-adjusted life years. A range of stakeholders provided valuable insights regarding the design of a personalized decision

  5. Stakeholder engagement: A green business model indicator

    OpenAIRE

    Abuzeinab, Amal; Arif, Mohammed

    2014-01-01

    PhD study This is an Open Access article and is freely available via the publisher's webpage. Follow the DOI link for full text. Green business models have the potential to deliver a much better performance compared to the conventional business models in this age of sustainability. Stakeholder engagement is considered one of the key elements to help facilitate an increased uptake of green business models. There is limited research available on principles and mechanisms to enhance stakeh...

  6. Ethical theory and stakeholder-related decisions: The role of stakeholder culture

    NARCIS (Netherlands)

    T.M. Jones; W.A. Felps (William); G. Bigley

    2007-01-01

    textabstractWe use convergent elements of major ethical theories to create a typology of corporate stakeholder cultures—the aspects of organizational culture consisting of the beliefs, values, and practices that have evolved for solving problems and otherwise managing stakeholder relationships. We

  7. Questioning Stakeholder Legitimacy: A Philanthropic Accountability Model.

    Science.gov (United States)

    Kraeger, Patsy; Robichau, Robbie

    2017-01-01

    Philanthropic organizations contribute to important work that solves complex problems to strengthen communities. Many of these organizations are moving toward engaging in public policy work, in addition to funding programs. This paper raises questions of legitimacy for foundations, as well as issues of transparency and accountability in a pluralistic democracy. Measures of civic health also inform how philanthropic organizations can be accountable to stakeholders. We propose a holistic model for philanthropic accountability that combines elements of transparency and performance accountability, as well as practices associated with the American pluralistic model for democratic accountability. We argue that philanthropic institutions should seek stakeholder and public input when shaping any public policy agenda. This paper suggests a new paradigm, called philanthropic accountability that can be used for legitimacy and democratic governance of private foundations engaged in policy work. The Philanthropic Accountability Model can be empirically tested and used as a governance tool.

  8. Stakeholder approach, Stakeholders mental model: A visualization test with cognitive mapping technique

    Directory of Open Access Journals (Sweden)

    Garoui Nassreddine

    2012-04-01

    Full Text Available The idea of this paper is to determine the mental models of actors in the firm with respect to the stakeholder approach of corporate governance. The use of the cognitive map to view these diagrams to show the ways of thinking and conceptualization of the stakeholder approach. The paper takes a corporate governance perspective, discusses stakeholder model. It takes also a cognitive mapping technique.

  9. A Study of Crisis Management Based on Stakeholders Analysis Model

    Science.gov (United States)

    Qingchun, Yue

    2017-11-01

    From the view of stakeholder theory, not only the enterprises should provide services to shareholders, but also take care of the demands of stakeholders. Stakeholders for the enterprise crisis are the organizations and individuals, which cause crisis, respond to the crisis and affected by the enterprise crisis. In this paper, first of all, to comb the development of stakeholder theory systematically; secondly, with the help of the enterprise crisis stakeholder analysis model, analyze the concept of stakeholders for the enterprise crisis and membership, and with the example of Shuanghui Group for further analysis; finally, we put forward relevant proposals for the enterprise crisis from the view of stakeholders.

  10. Decision support for selecting SLM technologies with stakeholders

    NARCIS (Netherlands)

    Schwilch, G.; Bachmann, F.; Graaff, de J.

    2012-01-01

    Sustainable Land Management (SLM) is a classic multi-stakeholder issue, concerning individual and community land users, agricultural advisors, natural resource managers, government authorities, civil society, and researchers alike. Selecting appropriate SLM technologies for implementation requires

  11. Information technology and decision support tools for stakeholder-driven river basin salinity management

    Energy Technology Data Exchange (ETDEWEB)

    Quinn, N.W.T; Cozad, D.B.; Lee, G.

    2010-01-01

    Innovative strategies for effective basin-scale salinity management have been developed in the Hunter River Basin of Australia and more recently in the San Joaquin River Basin of California. In both instances web-based stakeholder information dissemination has been a key to achieving a high level of stakeholder involvement and the formulation of effective decision support salinity management tools. A common element to implementation of salinity management strategies in both river basins has been the concept of river assimilative capacity for controlling export salt loading and the potential for trading of the right to discharge salt load to the river - the Hunter River in Australia and the San Joaquin River in California. Both rivers provide basin drainage and the means of exporting salt to the ocean. The paper compares and contrasts the use of monitoring, modeling and information dissemination in the two basins to achieve environmental compliance and sustain irrigated agriculture in an equitable and socially and politically acceptable manner.

  12. Collective Leadership: Principals' Decision Influence and the Supportive or Inhibiting Decision Influence of Other Stakeholders

    Science.gov (United States)

    Ni, Yongmei; Yan, Rui; Pounder, Diana

    2018-01-01

    Purpose: Using the collective leadership framework, this study examines (a) how principals perceive their own influence and that of other key stakeholders in various school decisions and (b) how principals' perceived influences of other stakeholders are associated with their own influence. Research Method/Approach: This study uses the nationally…

  13. A framework for multi-stakeholder decision-making and conflict resolution

    Science.gov (United States)

    We propose a decision-making framework to compute compromise solutions that balance conflicting priorities of multiple stakeholders on multiple objectives. In our setting, we shape the stakeholder dis-satisfaction distribution by solving a conditional-value-at-risk (CVaR) minimiz...

  14. A Decision Support Framework For Science-Based, Multi-Stakeholder Deliberation: A Coral Reef Example

    Science.gov (United States)

    We present a decision support framework for science-based assessment and multi-stakeholder deliberation. The framework consists of two parts: a DPSIR (Drivers-Pressures-States-Impacts-Responses) analysis to identify the important causal relationships among anthropogenic environ...

  15. Respecting Stakeholders and Their Engagement to Decision Making - The Way of Successful Corporate Social Responsibility Strategy

    Science.gov (United States)

    Drieniková, Katarína; Sakál, Peter

    2012-12-01

    Current world situation characterized by constant dynamic development and changes in all spheres enforced us to view the business not only as a profit creator but as creator of added value to the society. The paper deals with the stakeholders as the integral part of corporate social responsibility (CSR) concept. It mentions the topic of stakeholder theory and stakeholder management in consideration of sustainable development and sustainable competitiveness of business. Within the paper are mentioned outputs of pilot research carried on among Slovak companies focusing on stakeholders and decision making within responsible business.

  16. Uncertainty in Driftless Area Cold-Water Fishery Decision Making and a Framework for Stakeholder-Based Science

    Science.gov (United States)

    Schuster, Z.

    2015-12-01

    The paradigm of stakeholder-based science is becoming more popular as organizations such as the U.S. Department of the Interior Climate Science Centers adopt it as a way of providing practicable climate change information to practitioners. One of the key issues stakeholders face in adopting climate change information into their decision processes is how uncertainty is addressed and communicated. In this study, we conducted a series of semi-structured interviews with managers and scientists working on stream habitat restoration of cold-water fisheries in the Driftless Area of Wisconsin that were focused on how they interpret and manage uncertainty and what types of information they need to make better decisions. One of the important lessons we learned from the interviews is that if researchers are going to provide useful climate change information to stakeholders, they need to understand where and how decisions are made and what adaptation measures are actually available in a given decision arena. This method of incorporating social science methods into climate science production can provide a framework for researchers from the Climate Science Centers and others who are interested in pursuing stakeholder-based science. By indentifying a specific ecological system and conducting interviews with actors who work on that system, researchers will be able to gain a better understanding of how their climate change science can fit into existing or shape new decision processes. We also interpreted lessons learned from our interviews via existing literature in areas such as stakeholder-based modeling and the decision sciences to provide guidance specific to the stakeholder-based science process.

  17. Who are the stakeholders in environmental risk decisions? - How should they be involved?

    Energy Technology Data Exchange (ETDEWEB)

    English, M.R. [Tennessee Univ., Knoxville, TN (United States). Energy, Environment and Resources Center

    1999-12-01

    As we move toward diffuse, long-term environmental risks - especially those with large uncertainties and potentially grave consequences, such as those typified by high-level radioactive waste disposal - we need to move away from a stakeholder-centered model of environmental decision making. Instead, we need to move toward a model that draws upon the concept of collaborative learning, and emphasizes the long-term common good. Collaborative learning (which also has been referred to as adaptive work or transformative facilitation is especially appropriate when values are diverse and the dimensions of the problem and its possible solutions are not well-understood. Emphasis on the long-term common good calls upon people to think of themselves, not simply as self-interested stakeholders, but also as trustees for the well-being of other people and the environment. Together, the two concepts suggest a process that should challenge prevailing knowledge and values without being adversarial, that should have as a goal a sustainable future for all, and that should be deliberative and iterative. Incremental steps, revisited as needed, should be preferred over 'final solutions'. This ideal is far easier to prescribe than to implement. For example, political communication increasingly is dominated by specialists whose techniques historically are rooted in advertising, market research, and public relations, with the result that trust is diminished and ties between citizens and their leaders are weakened. Nevertheless, there is still reason to believe that it is possible to pursue models of decision making on critical issues of environmental risk that rely neither on stakeholder negotiations nor on manipulative persuasion.

  18. Who are the stakeholders in environmental risk decisions? - How should they be involved?

    International Nuclear Information System (INIS)

    English, M.R.

    1999-01-01

    As we move toward diffuse, long-term environmental risks - especially those with large uncertainties and potentially grave consequences, such as those typified by high-level radioactive waste disposal - we need to move away from a stakeholder-centered model of environmental decision making. Instead, we need to move toward a model that draws upon the concept of collaborative learning, and emphasizes the long-term common good. Collaborative learning (which also has been referred to as adaptive work or transformative facilitation is especially appropriate when values are diverse and the dimensions of the problem and its possible solutions are not well-understood. Emphasis on the long-term common good calls upon people to think of themselves, not simply as self-interested stakeholders, but also as trustees for the well-being of other people and the environment. Together, the two concepts suggest a process that should challenge prevailing knowledge and values without being adversarial, that should have as a goal a sustainable future for all, and that should be deliberative and iterative. Incremental steps, revisited as needed, should be preferred over 'final solutions'. This ideal is far easier to prescribe than to implement. For example, political communication increasingly is dominated by specialists whose techniques historically are rooted in advertising, market research, and public relations, with the result that trust is diminished and ties between citizens and their leaders are weakened. Nevertheless, there is still reason to believe that it is possible to pursue models of decision making on critical issues of environmental risk that rely neither on stakeholder negotiations nor on manipulative persuasion

  19. МULTI-STAKEHOLDER MODEL OF EDUCATION PROJECT QUALITY MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Юлия Юрьевна ГУСЕВА

    2015-05-01

    Full Text Available The analysis of approaches to the definition of higher education projects’ stakeholders is conducted. A model of education project quality management with the influence of stakeholders is formed. A mechanism of recognition of new groups of project’s stakeholders on the basis of set theory is offered.

  20. A dynamic perspective in Freeman’s stakeholder model

    OpenAIRE

    Y. FASSIN

    2011-01-01

    Stakeholder literature has acknowledged the need to complement the extant theory on stakeholder management by more dynamic perspectives. This article makes use of the recent terminology of stakewatcher and stakeseeker to illustrate the dynamic aspect of stakeholder theory transposed in the graphical representation of Freeman’s stakeholder model. Presenting a few selected case studies, it applies the scheme on the concept of value responsibility chain; it exemplifies the role of stakeseekers i...

  1. Comparing Approaches for the Integration of Stakeholder Perspectives in Environmental Decision Making

    Directory of Open Access Journals (Sweden)

    Anna Scolobig

    2016-11-01

    Full Text Available Including stakeholder perspectives in environmental decision making is in many countries a legal requirement and is widely seen as beneficial as it can help increase decision legitimacy, likelihood of implementation, and quality of the outcome. Whereas the theoretical literature on stakeholder engagement is large, less attention has been devoted to comparing and discussing different methodological approaches. Here, we compare three approaches—multi-criteria analysis, plural rationality theory, and scenario construction—that include stakeholders’ perspectives in environmental decision making. We find differences between the approaches concerning the assumptions about stakeholder rationality and whether experts and/or stakeholders are in charge of framing the problem. Further differences concern the type of data input from stakeholders and how it is used by the experts, as well as the role of stakeholders and whether they are involved early—already for identifying options—or later in the process, for evaluating or ranking alternatives analyzed by the experts. The choice of approach thus predetermines the type and depth of stakeholder engagement. No approach is “better” than another, but they are suited for different problems and research aims: the choice of the approach, however, has a large impact on the results.

  2. E-health stakeholders experiences with clinical modelling and standardizations.

    Science.gov (United States)

    Gøeg, Kirstine Rosenbeck; Elberg, Pia Britt; Højen, Anne Randorff

    2015-01-01

    Stakeholders in e-health such as governance officials, health IT-implementers and vendors have to co-operate to achieve the goal of a future-proof interoperable e-health infrastructure. Co-operation requires knowledge on the responsibility and competences of stakeholder groups. To increase awareness on clinical modeling and standardization we conducted a workshop for Danish and a few Norwegian e-health stakeholders' and made them discuss their views on different aspects of clinical modeling using a theoretical model as a point of departure. Based on the model, we traced stakeholders' experiences. Our results showed there was a tendency that stakeholders were more familiar with e-health requirements than with design methods, clinical information models and clinical terminology as they are described in the scientific literature. The workshop made it possible for stakeholders to discuss their roles and expectations to each other.

  3. Stakeholder management in the local government decision-making area: evidences from a triangulation study with the English local government

    Directory of Open Access Journals (Sweden)

    Ricardo Corrêa Gomes

    2006-01-01

    Full Text Available The stakeholder theory has been in the management agenda for about thirty years and reservations about its acceptance as a comprehensive theory still remains. It was introduced as a managerial issue by the Labour Party in 1997 aiming to make public management more inclusive. This article aims to contribute to the stakeholder theory adding descriptive issues to its theoretical basis. The findings are derived from an inductive investigationcarried out with English Local Authorities, which will most likely be reproduced in other contexts. Data collection and analysis is based on a data triangulation method that involves case-studies, interviews of validation and analysis of documents. The investigation proposes a model for representing the nature of therelationships between stakeholders and the decision-making process of such organizations. The decision-making of local government organizations is in fact a stakeholder-based process in which stakeholders are empowered to exert influences due to power over and interest in the organization’s operations and outcomes.

  4. Scientific decision-making and stakeholder consultations: the case of salt recommendations.

    Science.gov (United States)

    Timotijevic, Lada; Barnett, Julie; Brown, Kerry; Raats, Monique M; Shepherd, Richard

    2013-05-01

    Scientific advisory committees (SACs) are seen as "boundary organisations" working at the interface between science, policy and society. Although their narrowly defined remit of risk assessment is anchored in notions of rationality, objectivity, and reason, in reality, their sources for developing recommendations are not limited to scientific evidence. There is a growing expectation to involve non-scientific sources of information in the formation of knowledge, including the expectation of stakeholder consultation in forming recommendations. Such a move towards "democratisation" of scientific processes of decision-making within SACs has been described and often studied as "post-normal science" (PNS) (Funtowicz & Ravetz, 1993). In the current paper we examine the application of PNS in practice through a study of stakeholder consultations within the workings of the UK Scientific Advisory Committee for Nutrition (SACN). We use the theoretical insights from PNS-related studies to structure the analysis and examine the way in which PNS tenets resonate with the practices of SACN. We have selected a particular case of the SACN UK recommendations for salt as it is characterized by scientific controversy, uncertainty, vested interests and value conflict. We apply the tenets of PNS through documentary analysis of the SACN Salt Subgroup (SSG) consultation documents published in 2002/2003: the minutes of the 5 SACN SSG's meetings which included summary of the SACN SSG's stakeholder consultation and the SSG's responses to the consultation. The analysis suggests that the SACN consultation can be construed as a process of managing sources of risk to its organisation. Thus, rather than being an evidence of post-normal scientific practice, engagement became a mechanism for confirming the specific framing of science that is resonant with technocratic models of science holding authority over the facts. The implications for PNS theory are discussed. Copyright © 2013 Elsevier Ltd. All

  5. A practical approach to communicating benefit-risk decisions of medicines to stakeholders.

    Science.gov (United States)

    Leong, James; Walker, Stuart; Salek, Sam

    2015-01-01

    The importance of a framework for a systematic structured assessment of the benefits and risks has been established, but in addition, it is necessary that the benefit-risk decisions and the processes to derive those decisions are documented and communicated to various stakeholders for accountability. Hence there is now a need to find appropriate tools to enhance communication between regulators and other stakeholders, in a manner that would uphold transparency, consistency and standards. A retrospective, non-comparative study was conducted to determine the applicability and practicality of a summary template in documenting benefit-risk assessment and communicating benefit-risk balance and conclusions for reviewers to other stakeholders. The benefit-risk (BR) Summary Template and its User Manual was evaluated by 12 reviewers within a regulatory agency in Singapore, the Health Sciences Authority (HSA). The BR Summary Template was found to be adequate in documenting benefits, risks, relevant summaries and conclusions, while the User Manual was useful in guiding the reviewer in completing the template. The BR Summary Template was also considered a useful tool for communicating benefit-risk decisions to a variety of stakeholders. The use of a template may be of value for the communicating benefit-risk assessment of medicines to stakeholders.

  6. Stakeholder Theory and Value Creation Models in Brazilian Firms

    Directory of Open Access Journals (Sweden)

    Natalia Giugni Vidal

    2015-09-01

    Full Text Available Objective – The purpose of this study is to understand how top Brazilian firms think about and communicate value creation to their stakeholders. Design/methodology/approach – We use qualitative content analysis methodology to analyze the sustainability or annual integrated reports of the top 25 Brazilian firms by sales revenue. Findings – Based on our analysis, these firms were classified into three main types of stakeholder value creation models: narrow, broad, or transitioning from narrow to broad. We find that many of the firms in our sample are in a transition state between narrow and broad stakeholder value creation models. We also identify seven areas of concentration discussed by firms in creating value for stakeholders: better stakeholder relationships, better work environment, environmental preservation, increased customer base, local development, reputation, and stakeholder dialogue. Practical implications – This study shows a trend towards broader stakeholder value creation models in Brazilian firms. The findings of this study may inform practitioners interested in broadening their value creation models. Originality/value – This study adds to the discussion of stakeholder theory in the Brazilian context by understanding variations in value creation orientation in Brazil.

  7. Stakeholder diversity and the comprehensiveness of sustainability decisions : the role of collaboration and conflict

    NARCIS (Netherlands)

    Curşeu, Petru Lucian; Schruijer, S.G.L.

    2017-01-01

    We review the literature (2007–2016) on the quality of sustainability decisions and we introduce an integrative conceptual framework that distinguishes between a beneficial and a detrimental path that explain the influence of stakeholder diversity on the comprehensiveness of sustainability

  8. Introducing CARL - Studying Stakeholder Involvement in Decision-Making on RWM

    International Nuclear Information System (INIS)

    Bergmans, Anne

    2006-01-01

    This paper provides some background on the four following papers, drawing on the research conducted within the CARL research project. CARL is a cross-national 'social sciences research project into the effects of stakeholder involvement on decision-making in radioactive waste management'. The paper introduces the project, its aims, activities and describes the common framework used to look at each individual country

  9. Participatory modeling and structured decision making

    Science.gov (United States)

    Robinson, Kelly F.; Fuller, Angela K.

    2016-01-01

    Structured decision making (SDM) provides a framework for making sound decisions even when faced with uncertainty, and is a transparent, defensible, and replicable method used to understand complex problems. A hallmark of SDM is the explicit incorporation of values and science, which often includes participation from multiple stakeholders, helping to garner trust and ultimately result in a decision that is more likely to be implemented. The core steps in the SDM process are used to structure thinking about natural resources management choices, and include: (1) properly defining the problem and the decision context, (2) determining the objectives that help describe the aspirations of the decision maker, (3) devising management actions or alternatives that can achieve those objectives, (4) evaluating the outcomes or consequences of each alternative on each of the objectives, (5) evaluating trade-offs, and (6) implementing the decision. Participatory modeling for SDM includes engaging stakeholders in some or all of the steps of the SDM process listed above. In addition, participatory modeling often is crucial for creating qualitative and quantitative models of how the system works, providing data for these models, and eliciting expert opinion when data are unavailable. In these ways, SDM provides a framework for decision making in natural resources management that includes participation from stakeholder groups throughout the process, including the modeling phase.

  10. Sensitivity Analysis in Sequential Decision Models.

    Science.gov (United States)

    Chen, Qiushi; Ayer, Turgay; Chhatwal, Jagpreet

    2017-02-01

    Sequential decision problems are frequently encountered in medical decision making, which are commonly solved using Markov decision processes (MDPs). Modeling guidelines recommend conducting sensitivity analyses in decision-analytic models to assess the robustness of the model results against the uncertainty in model parameters. However, standard methods of conducting sensitivity analyses cannot be directly applied to sequential decision problems because this would require evaluating all possible decision sequences, typically in the order of trillions, which is not practically feasible. As a result, most MDP-based modeling studies do not examine confidence in their recommended policies. In this study, we provide an approach to estimate uncertainty and confidence in the results of sequential decision models. First, we provide a probabilistic univariate method to identify the most sensitive parameters in MDPs. Second, we present a probabilistic multivariate approach to estimate the overall confidence in the recommended optimal policy considering joint uncertainty in the model parameters. We provide a graphical representation, which we call a policy acceptability curve, to summarize the confidence in the optimal policy by incorporating stakeholders' willingness to accept the base case policy. For a cost-effectiveness analysis, we provide an approach to construct a cost-effectiveness acceptability frontier, which shows the most cost-effective policy as well as the confidence in that for a given willingness to pay threshold. We demonstrate our approach using a simple MDP case study. We developed a method to conduct sensitivity analysis in sequential decision models, which could increase the credibility of these models among stakeholders.

  11. Stakeholder Involvement in Decision Making: A Short Guide to Issues, Approaches and Resources

    International Nuclear Information System (INIS)

    2015-01-01

    Radioactive waste management is embedded in broader societal issues such as the environment, risk management, energy, health policy and sustainability. In all these fields, there is an increasing demand for public involvement and engagement. This 2015 update of Stakeholder Involvement Techniques: Short Guide and Annotated Bibliography, assists practitioners and non-specialists by outlining the steps and issues associated with stakeholder involvement in decision making and by facilitating access to useful online resources (handbooks, toolboxes and case studies). The updated guide has been considerably enriched with experiences since 2004 and includes extensive references to the literature. It is published alongside the release of an online annotated bibliography that will be updated regularly. (authors)

  12. A Decision Support Framework for Science-Based, Multi-Stakeholder Deliberation: A Coral Reef Example

    Science.gov (United States)

    Rehr, Amanda P.; Small, Mitchell J.; Bradley, Patricia; Fisher, William S.; Vega, Ann; Black, Kelly; Stockton, Tom

    2012-12-01

    We present a decision support framework for science-based assessment and multi-stakeholder deliberation. The framework consists of two parts: a DPSIR (Drivers-Pressures-States-Impacts-Responses) analysis to identify the important causal relationships among anthropogenic environmental stressors, processes, and outcomes; and a Decision Landscape analysis to depict the legal, social, and institutional dimensions of environmental decisions. The Decision Landscape incorporates interactions among government agencies, regulated businesses, non-government organizations, and other stakeholders. It also identifies where scientific information regarding environmental processes is collected and transmitted to improve knowledge about elements of the DPSIR and to improve the scientific basis for decisions. Our application of the decision support framework to coral reef protection and restoration in the Florida Keys focusing on anthropogenic stressors, such as wastewater, proved to be successful and offered several insights. Using information from a management plan, it was possible to capture the current state of the science with a DPSIR analysis as well as important decision options, decision makers and applicable laws with a the Decision Landscape analysis. A structured elicitation of values and beliefs conducted at a coral reef management workshop held in Key West, Florida provided a diversity of opinion and also indicated a prioritization of several environmental stressors affecting coral reef health. The integrated DPSIR/Decision landscape framework for the Florida Keys developed based on the elicited opinion and the DPSIR analysis can be used to inform management decisions, to reveal the role that further scientific information and research might play to populate the framework, and to facilitate better-informed agreement among participants.

  13. Accounting for Business Models: Increasing the Visibility of Stakeholders

    Directory of Open Access Journals (Sweden)

    Colin Haslam

    2015-01-01

    Full Text Available Purpose: This paper conceptualises a firm’s business model employing stakeholder theory as a central organising element to help inform the purpose and objective(s of business model financial reporting and disclosure. Framework: Firms interact with a complex network of primary and secondary stakeholders to secure the value proposition of a firm’s business model. This value proposition is itself a complex amalgam of value creating, value capturing and value manipulating arrangements with stakeholders. From a financial accounting perspective the purpose of the value proposition for a firm’s business model is to sustain liquidity and solvency as a going concern. Findings: This article argues that stakeholder relations impact upon the financial viability of a firm’s business model value proposition. However current financial reporting by function of expenses and the central organising objectives of the accounting conceptual framework conceal firm-stakeholder relations and their impact on reported financials. Practical implications: The practical implication of our paper is that ‘Business Model’ financial reporting would require a reorientation in the accounting conceptual framework that defines the objectives and purpose of financial reporting. This reorientation would involve reporting about stakeholder relations and their impact on a firms financials not simply reporting financial information to ‘investors’. Social Implications: Business model financial reporting has the potential to be stakeholder inclusive because the numbers and narratives reported by firms in their annual financial statements will increase the visibility of stakeholder relations and how these are being managed. What is original/value of paper: This paper’s original perspective is that it argues that a firm’s business model is structured out of stakeholder relations. It presents the firm’s value proposition as the product of value creating, capturing and

  14. Framework for Modelling Multi-stakeholder City Logistics Domain Using the Agent based Modelling Approach

    NARCIS (Netherlands)

    Anand, Nilesh; van Duin, Ron; Tavasszy, L.A.

    2016-01-01

    Efficiency of city logistics activities suffers due to conflicting personal preferences and distributed decision making by multiple city logistics stakeholders. This is exacerbated by interdependency of city logistics activities, decision making with limited information and stakeholders’ preference

  15. External community review committee: a new strategy for engaging community stakeholders in research funding decisions.

    Science.gov (United States)

    Smith, Maureen A; Kaufman, Nancy J; Dearlove, Andrea J

    2013-01-01

    Major gaps exist between what we know and what we do in clinical practice and community health programs and narrowing this gap will require substantive partnerships between academic researchers and the communities they serve. We describe a research pilot award program that makes a unique commitment to community engagement through the addition of an External Community Review Committee to the typical research review process that gives external stakeholders decision-making power over research funding. Whereas engaging community reviewers in discussion and rating of research proposals is not novel, the ICTR ECRC review process is distinct in that it is subsequent to peer review and uses different criteria and methodology. This method of engagement allows for the community review panel to re-rank scientifically meritorious proposals-such that proposals funded do not necessarily follow the rank order from scientific peer review. The approach taken by UW ICTR differs from those discussed in the literature that present a model of community-academic co-review. This article provides guidance for others interested in this model of community engagement and reviews insights gained during the evolution of this strategy; including how we addressed conflict, how the committee was able to change the pilot award program over time, and individual roles that were crucial to the success of this approach. The advantages of this approach include success through traditional academic metrics while achieving an innovative shared-power mechanism for community engagement which we believe is critical for narrowing the gap between knowledge and practice.

  16. From Perceived Values to Shared Values: A Multi-Stakeholder Spatial Decision Analysis (M-SSDA for Resilient Landscapes

    Directory of Open Access Journals (Sweden)

    Maria Cerreta

    2017-06-01

    Full Text Available This paper puts forth a Multi-Stakeholder Spatial Decision Analysis (M-SSDA which combines Multi-Stakeholders Decision Analysis (M-SDA and GIS processing based on a collaborative, hybrid and adaptive evaluative approach to support the elaboration of enhancement strategies designed for resilient landscapes. This methodology has been tested in the research project “Cilento Labscape: An integrated model for the activation of a Living Lab in the National Park of Cilento, Vallo di Diano and Alburni”, which was conducted in the Cilento National Park (Southern Italy. The aim of the methodology is to find alternative touristic routes for the promotion of the Park. The different steps in the process will be described, as will the employment of multiple tools/techniques (interviews, GIS tools, Semantic Analysis, and Geo-Statistical Analysis to improve the reliability of the decision-making process. The most relevant results of the methodology will also be outlined in terms of the transition from the identification of the perceived landscape’s values to the acknowledgement of the shared values, and their consequent employment for the outlining of new thematic itineraries for the Park. To realise sustainable territorial strategies and preserve the landscape through bottom-up decision-making processes, the different local communities need to gain a new awareness of their identity shared values and make an active contribution towards promoting and managing their site-specific resources.

  17. Involving stakeholders in building integrated fisheries models using Bayesian methods

    DEFF Research Database (Denmark)

    Haapasaari, Päivi Elisabet; Mäntyniemi, Samu; Kuikka, Sakari

    2013-01-01

    A participatory Bayesian approach was used to investigate how the views of stakeholders could be utilized to develop models to help understand the Central Baltic herring fishery. In task one, we applied the Bayesian belief network methodology to elicit the causal assumptions of six stakeholders...... on factors that influence natural mortality, growth, and egg survival of the herring stock in probabilistic terms. We also integrated the expressed views into a meta-model using the Bayesian model averaging (BMA) method. In task two, we used influence diagrams to study qualitatively how the stakeholders frame...... the potential of the study to contribute to the development of participatory modeling practices. It is concluded that the subjective perspective to knowledge, that is fundamental in Bayesian theory, suits participatory modeling better than a positivist paradigm that seeks the objective truth. The methodology...

  18. Understanding the stakeholders' intention to use economic decision-support tools: A cross-sectional study with the tobacco return on investment tool.

    Science.gov (United States)

    Cheung, Kei Long; Evers, Silvia M A A; Hiligsmann, Mickaël; Vokó, Zoltán; Pokhrel, Subhash; Jones, Teresa; Muñoz, Celia; Wolfenstetter, Silke B; Józwiak-Hagymásy, Judit; de Vries, Hein

    2016-01-01

    Despite an increased number of economic evaluations of tobacco control interventions, the uptake by stakeholders continues to be limited. Understanding the underlying mechanism in adopting such economic decision-support tools by stakeholders is therefore important. By applying the I-Change Model, this study aims to identify which factors determine potential uptake of an economic decision-support tool, i.e., the Return on Investment tool. Stakeholders (decision-makers, purchasers of services/pharma products, professionals/service providers, evidence generators and advocates of health promotion) were interviewed in five countries, using an I-Change based questionnaire. MANOVA's were conducted to assess differences between intenders and non-intenders regarding beliefs. A multiple regression analysis was conducted to identify the main explanatory variables of intention to use an economic decision-support tool. Ninety-three stakeholders participated. Significant differences in beliefs were found between non-intenders and intenders: risk perception, attitude, social support, and self-efficacy towards using the tool. Regression showed that demographics, pre-motivational, and motivational factors explained 69% of the variation in intention. This study is the first to provide a theoretical framework to understand differences in beliefs between stakeholders who do or do not intend to use economic decision-support tools, and empirically corroborating the framework. This contributes to our understanding of the facilitators and barriers to the uptake of these studies. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  19. Evidence use in decision-making on introducing innovations: a systematic scoping review with stakeholder feedback.

    Science.gov (United States)

    Turner, Simon; D'Lima, Danielle; Hudson, Emma; Morris, Stephen; Sheringham, Jessica; Swart, Nick; Fulop, Naomi J

    2017-12-04

    A range of evidence informs decision-making on innovation in health care, including formal research findings, local data and professional opinion. However, cultural and organisational factors often prevent the translation of evidence for innovations into practice. In addition to the characteristics of evidence, it is known that processes at the individual level influence its impact on decision-making. Less is known about the ways in which processes at the professional, organisational and local system level shape evidence use and its role in decisions to adopt innovations. A systematic scoping review was used to review the health literature on innovations within acute and primary care and map processes at the professional, organisational and local system levels which influence how evidence informs decision-making on innovation. Stakeholder feedback on the themes identified was collected via focus groups to test and develop the findings. Following database and manual searches, 31 studies reporting primary qualitative data met the inclusion criteria: 24 were of sufficient methodological quality to be included in the thematic analysis. Evidence use in decision-making on innovation is influenced by multi-level processes (professional, organisational, local system) and interactions across these levels. Preferences for evidence vary by professional group and health service setting. Organisations can shape professional behaviour by requiring particular forms of evidence to inform decision-making. Pan-regional organisations shape innovation decision-making at lower levels. Political processes at all levels shape the selection and use of evidence in decision-making. The synthesis of results from primary qualitative studies found that evidence use in decision-making on innovation is influenced by processes at multiple levels. Interactions between different levels shape evidence use in decision-making (e.g. professional groups and organisations can use local systems to

  20. Fair processes and fair outcomes: involving local stakeholders in RWM decisions

    International Nuclear Information System (INIS)

    Vari, A.

    2004-01-01

    There is a general agreement on the requirements to be met by radioactive waste management strategies. One of the requirements is that both the outcomes of any decisions and the decision-making processes must be seen to be fair. However, there exist multiple legitimate views on fairness and there is no meta-theory that could help decide which of the competing views should be considered valid in a concrete case. Referring to the plurality of views on fairness, Linnerooth-Bayer (forthcoming) argues that the impasse in facility siting processes can be attributed to the failure to take adequate account of the diverse views held by the various stakeholders on fair processes and outcomes. Three fundamental ethical principles have been derived from three basic ethical theories: well-being which is the central concept of utilitarian ethics, justice which is a key notion in egalitarian ethics, and dignity which is central to deontology (Bay and Oughton, 2003). According to utilitarian ethics fairness means that public welfare is maximized even at the cost of stakeholders' individual rights. Costs and benefits can be legitimately distributed in any way; only their overall balance has to be enhanced. In contrary, egalitarian ethics aims for a fair distribution of benefits and costs among stakeholders, while deontology acknowledges universal values of actions, e.g. the respect for individual rights, apart from their consequences. According to the latter ethics, fairness means that stakeholders themselves have the opportunity to learn about the benefits and costs of various options, and having considered them, decide on their position to accept them. How do diverse views on fair decisions materialize in RWM debates? (author)

  1. Evaluation of the Role of Public Outreach and Stakeholder Engagement in Stormwater Funding Decisions in New England

    Science.gov (United States)

    A detailed report examining the role of public outreach and stakeholder engagement in stormwater funding decisions based on the experiences of eleven small and medium-sized communities in New England.

  2. A Multivariate Model of Stakeholder Preference for Lethal Cat Management

    Science.gov (United States)

    Wald, Dara M.; Jacobson, Susan K.

    2014-01-01

    Identifying stakeholder beliefs and attitudes is critical for resolving management conflicts. Debate over outdoor cat management is often described as a conflict between two groups, environmental advocates and animal welfare advocates, but little is known about the variables predicting differences among these critical stakeholder groups. We administered a mail survey to randomly selected stakeholders representing both of these groups (n = 1,596) in Florida, where contention over the management of outdoor cats has been widespread. We used a structural equation model to evaluate stakeholder intention to support non-lethal management. The cognitive hierarchy model predicted that values influenced beliefs, which predicted general and specific attitudes, which in turn, influenced behavioral intentions. We posited that specific attitudes would mediate the effect of general attitudes, beliefs, and values on management support. Model fit statistics suggested that the final model fit the data well (CFI = 0.94, RMSEA = 0.062). The final model explained 74% of the variance in management support, and positive attitudes toward lethal management (humaneness) had the largest direct effect on management support. Specific attitudes toward lethal management and general attitudes toward outdoor cats mediated the relationship between positive (p<0.05) and negative cat-related impact beliefs (p<0.05) and support for management. These results supported the specificity hypothesis and the use of the cognitive hierarchy to assess stakeholder intention to support non-lethal cat management. Our findings suggest that stakeholders can simultaneously perceive both positive and negative beliefs about outdoor cats, which influence attitudes toward and support for non-lethal management. PMID:24736744

  3. Tinamit: Making coupled system dynamics models accessible to stakeholders

    Science.gov (United States)

    Malard, Julien; Inam Baig, Azhar; Rojas Díaz, Marcela; Hassanzadeh, Elmira; Adamowski, Jan; Tuy, Héctor; Melgar-Quiñonez, Hugo

    2017-04-01

    Model coupling is increasingly used as a method of combining the best of two models when representing socio-environmental systems, though barriers to successful model adoption by stakeholders are particularly present with the use of coupled models, due to their high complexity and typically low implementation flexibility. Coupled system dynamics - physically-based modelling is a promising method to improve stakeholder participation in environmental modelling while retaining a high level of complexity for physical process representation, as the system dynamics components are readily understandable and can be built by stakeholders themselves. However, this method is not without limitations in practice, including 1) inflexible and complicated coupling methods, 2) difficult model maintenance after the end of the project, and 3) a wide variety of end-user cultures and languages. We have developed the open-source Python-language software tool Tinamit to overcome some of these limitations to the adoption of stakeholder-based coupled system dynamics - physically-based modelling. The software is unique in 1) its inclusion of both a graphical user interface (GUI) and a library of available commands (API) that allow users with little or no coding abilities to rapidly, effectively, and flexibly couple models, 2) its multilingual support for the GUI, allowing users to couple models in their preferred language (and to add new languages as necessary for their community work), and 3) its modular structure allowing for very easy model coupling and modification without the direct use of code, and to which programming-savvy users can easily add support for new types of physically-based models. We discuss how the use of Tinamit for model coupling can greatly increase the accessibility of coupled models to stakeholders, using an example of a stakeholder-built system dynamics model of soil salinity issues in Pakistan coupled with the physically-based soil salinity and water flow model

  4. Guiding Principles And A Decision-Making Framework For Stakeholders Pursuing Healthy Food Environments.

    Science.gov (United States)

    Kraak, Vivica I; Story, Mary

    2015-11-01

    To address obesity and diet-related chronic diseases in the United States, organizations such as the Robert Wood Johnson Foundation and the Institute of Medicine have encouraged the use of voluntary engagement strategies among stakeholders. By using public-private partnerships as well as networks, alliances, and coalitions, voluntary engagement can translate evidence-informed dietary recommendations into effective policies and actions and into innovative products and services. We offer six guiding principles and a decision-making framework that stakeholders can use to ensure that partnerships are accountable and effective in their pursuit of health-related goals. We apply the principles and framework to four national partnerships of US food, beverage, and food retail industry stakeholders working to prevent child obesity and to promote healthy food environments through product reformulation and healthy food retail incentives. We conclude that partnerships should be evaluated for their synergy, accountability, and effectiveness at achieving the partners' objectives. Independent evaluations will help build credibility and public trust in the capacity of voluntary engagement strategies to promote healthy food environments and positively influence public health. Project HOPE—The People-to-People Health Foundation, Inc.

  5. The role of symbolic capital in stakeholder disputes: decision-making concerning intractable wastes.

    Science.gov (United States)

    Benn, Suzanne; Jones, Richard

    2009-04-01

    This paper examines almost 30 years of disputation concerning the disposal of the world's largest stockpile of the toxic organochlorine, hexachlorbenzene. It describes the study of a chemicals company in its attempt to manage the disposal of the toxic waste in a collaborative fashion with government, environmentalists and the local community. The study describes the new processes and structures specifically designed to address the decision-making and the issues of stakeholder perception and identity construction which have influenced the outcomes. Decision-making in such disputes is often theorized from the perspective of the emergence of highly individualized and reflexive risk communities and changing modes and expectations of corporate responsibility as a result of detraditionalization. We argue that the stakeholder interaction in this study reflects competing discourses in which corporate actors prioritize the building and maintaining of identity and symbolic capital rather than an active collaboration to solve the ongoing issue of the waste. As well, issues of access to expert knowledge highlight the relationship between conditions of uncertainty, technoscientific expertise and identity. The events of the study highlight the challenges faced by contemporary technoscientific corporations such as chemicals companies as they must deliver on requirements of transparency and openness, while maintaining technoscientific capacity and strong internal identity. We conclude that the study demonstrates the co-existence of social processes of individualization and detraditionalization with quasi-traditions which maintain authority, thus challenging the radical distinctions made in the literature between modernity and late or reflexive modernity.

  6. A Co-Opetitive Automated Negotiation Model for Vertical Allied Enterprises Teams and Stakeholders

    Directory of Open Access Journals (Sweden)

    Taiguang Gao

    2018-04-01

    Full Text Available Upstream and downstream of supply chain enterprises often form a tactic vertical alliance to enhance their operational efficiency and maintain their competitive edges in the market. Hence, it is critical for an alliance to collaborate over their internal resources and resolve the profit conflicts among members, so that the functionality required by stakeholders can be fulfilled. As an effective solution, automated negotiation for the vertical allied enterprises team and stakeholder will sufficiently make use of emerging team advantages and significantly reduce the profit conflicts in teams with grouping decisions rather than unilateral decisions by some leader. In this paper, an automated negotiation model is designed to describe both the collaborative game process among the team members and the competitive negotiation process between the allied team and the stakeholder. Considering the co-competitiveness of the vertical allied team, the designed model helps the team members making decision for their own sake, and the team counter-offers for the ongoing negotiation are generated with non-cooperative game process, where the profit derived from negotiation result is distributed with Shapley value method according to contribution or importance contributed by each team member. Finally, a case study is given to testify the effectiveness of the designed model.

  7. Information management to enable personalized medicine: stakeholder roles in building clinical decision support

    Directory of Open Access Journals (Sweden)

    Brinner Kristin M

    2009-10-01

    Full Text Available Abstract Background Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Discussion Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures, and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. Summary This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In

  8. Information management to enable personalized medicine: stakeholder roles in building clinical decision support.

    Science.gov (United States)

    Downing, Gregory J; Boyle, Scott N; Brinner, Kristin M; Osheroff, Jerome A

    2009-10-08

    Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures), and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In addition, to represent meaningful benefits to personalized

  9. Towards data-driven decision-making for sustainable diets in Vietnam: Identifying priority indicators through stakeholder engagement

    Science.gov (United States)

    Mayton, H.; Beal, T.; Rubin, J.; Sanchez, A.; Heller, M.; Hoey, L.; Khoury, C. K.; Jones, A.

    2017-12-01

    Globally, food systems impact and are impacted by the sustainability of environmental, societal, political, and public health factors. At the center of these systems are human diets, which vary substantially by culture and region, and have significant influence on human health, community livelihoods, climate change, and natural resources. However, rapidly growing and highly diverse lower middle-income countries like Vietnam face challenges in gathering data and defining clear policy intervention points and approaches that will provide a net-positive systemic influence across sectors. A new collaboration, Entry points to Advance Transitions towards Sustainable diets (EATS), between the University of Michigan and the International Center for Tropical Agriculture (CIAT) aims to identify ways that existing data and insights into the policy process can be leveraged to inform decision-making on where and how to intervene to effectively shift multiple axes of food systems to enhance the sustainability of diets. As a first step towards developing a model that other policy communities could follow, researchers aggregated and characterized approximately 50 major existing datasets on food, agriculture, and nutrition in Vietnam. They also created a conceptual framework for evaluating the sustainability of diets and for characterizing existing datasets, including eight domains and over 200 unique, measurable indicators. Figure 1 summarizes these domains and their key relationships, which forms a foundation for identifying leverage points that can positively impact multiple aspects of sustainable diets. Researchers then engaged food system stakeholders through informal interviews, surveys, and collaborative workshops to prioritize indicators and identify additional relevant data sources. Stakeholders included national government, research, NGO, and private sector representatives from across the range of identified domains. The key indicators identified by stakeholders will

  10. Decadal Climate Information Needs of Stakeholders for Decision Support in Water and Agriculture Production Sectors: A Case Study in the Missouri River Basin

    Science.gov (United States)

    Mehta, V. M.; Knutson, C.; Rosenberg, N.

    2012-12-01

    Many decadal climate prediction efforts have been initiated under the World Climate Research Programme's Coupled Model Intercomparison Project 5. There is considerable ongoing discussion about model deficiencies, initialization techniques, and data requirements, but not much attention is being given to decadal climate information (DCI) needs of stakeholders for decision support. We report the results of exploratory activities undertaken to assess DCI needs in water resources and agriculture sectors, using the Missouri River Basin (the Basin) as a case study. This assessment was achieved through discussions with 120 representative stakeholders. Stakeholders' awareness of decadal dry and wet spells and their societal impacts in the Basin is established; and stakeholders' DCI needs and potential barriers to their use of DCI are enumerated. We find that impacts, including economic impacts, of DCV on water and agricultural production in the Basin are distinctly identifiable and characterizable. Stakeholders have clear notions about their needs for DCI and have offered specific suggestions as to how these might be met. But, while stakeholders are eager to have climate information, including decadal climate outlooks (DCOs), there are many barriers to the use of such information. The first and foremost is that the credibility of DCOs is yet to be established. Secondly, the nature of institutional rules and regulations, laws, and legal precedents that pose obstacles to the use of DCOs must be better understood and means to modify these, where possible, must be sought. For the benefit of climate scientists, these and other stakeholder needs will also be articulated in this talk. We are engaged in a project to assess simulation and hindcast skills of DCV phenomena and their associations with hydro-meteorological variability in the Basin in the HadCM3, GFDL-CM2.1, NCAR CCSM4, and MIROC5 global coupled models participating in the WCRP's CMIP5 project. Results from this project

  11. What makes for robust decisions and the involvement of all of the stakeholders in the debate?

    International Nuclear Information System (INIS)

    Le Bars, Yves

    2006-01-01

    So that decisions will be robust and proof against conflicts of interest and changes of administrators and policy-makers, it is essential that they are reached through a process that involves stakeholders and allows time for debate. The first point to note is that in the culture of many countries the concept of public policy, in the sense of defining a policy agenda, is not that straightforward. Secondly, drawing on the work of the 'Forum on Stakeholder Confidence' (FSC/NEA), the author looks at what goes into the mix, based on a number of different examples: processes, actor structures and behaviour. Lastly, he gives a few rules for conducting public debates. In conclusion, each national situation is specific to the given country: any transfer of experience out of that context must be handled with extreme caution. This said, would it not be possible to keep some generic rules? For example on difficulties with process definition, the necessary clarity of the structure and respective role of the actors, particularly when they are public actors, the behaviour of experts and technicians involved which becomes an increasingly sensitive point the closer they are to process leadership. We can expect significant progress from comparing our experience - and managing dismantling is no exception to that rule. In France, a 1999 decree authorises the implementation of a Local Information and Monitoring Committee to be chaired by the Prefect of Department where an underground research laboratory (URL) project is implemented

  12. Towards better modelling and decision support

    DEFF Research Database (Denmark)

    Meli, Mattia; Grimm, V; Augusiak, J.

    2014-01-01

    The potential of ecological models for supporting environmental decision making is increasingly acknowledged. However, it often remains unclear whether a model is realistic and reliable enough. Good practice for developing and testing ecological models has not yet been established. Therefore, TRACE......, thereby also linking modellers and model users, for example stakeholders, decision makers, and developers of policies. We report on first experiences in producing TRACE documents. We found that the original idea underlying TRACE was valid, but to make its use more coherent and efficient, an update of its......, a general framework for documenting a model's rationale, design, and testing was recently suggested. Originally TRACE was aimed at documenting good modelling practice. However, the word 'documentation' does not convey TRACE's urgency. Therefore, we re-define TRACE as a tool for planning, performing...

  13. Stakeholder Involvement in Nuclear Decision Making, NEA Workshop, 17-19 January 2017. Workshop wrap-up and conclusions

    International Nuclear Information System (INIS)

    Maclachlan, Ann

    2017-01-01

    The NEA workshop in January 2017 gathered representatives of governments, specialists of most aspects of the operation, management and oversight of the full nuclear fuel cycle, and other actors and experts from across the world. Stakeholder involvement in almost all types of nuclear decision making was addressed, and findings were underlined in other technology sectors. The plenary talks and topical presentations provided an overview of major considerations, while dialogue sessions enabled workshop attendees to deepen their understanding and exchange experience. Even considering the specificity of each context, some take-away were clearly supported by presentations, dialogues and exchanges. They constitute a part of the collective wisdom developed when participants from across member countries and sectors come together at such a unique, cross-cutting workshop. It was beneficial to sit together, talk and compare experience with persons from different backgrounds and areas of competence. Stakeholder involvement is not only about what decision is made. It is also about achieving decisions that visibly and transparently reflect stakeholder concerns and input. Stakeholder involvement is 'a process or a tool to reach a decision that is better-informed, sound and widely accepted'. Stakeholder involvement is viewed also as a principle of democracy. There is no one-approach-fits-all: the stakeholder involvement process needs to be adapted to the country-specific context. Across nations, there are different political systems and legal frameworks that are reflected in the mind-sets of populations and approaches to stakeholder involvement. The shape of involvement will be different in the case of a general, policy-type decision or a project or site-specific decision. The involvement process may respond strictly to legal requirements or it may go beyond this minimum. Societal expectations are that stakeholder involvement will go beyond the sharing of information or

  14. Revisiting the Relationship Between Data, Models, and Decision-Making.

    Science.gov (United States)

    Ferré, Ty P A

    2017-09-01

    We hydrologists can do a better job of supporting water-resources decision-making. I will argue that we can do this by recognizing that decision makers use qualitative, multiple-narrative approaches. So, rather than providing single-model predictions with quantitative uncertainties, we should develop teams of rival models that inform decision makers about what is known, what is possible, and what is unknown. This requires that we build ensembles of models that include biased, advocacy models that directly represent stakeholders' interests or concerns. From this inclusive platform, we can speak objectively and clearly about the risks that drive stakeholders' decisions. Furthermore, we will be promoting more appropriate use of the scientific method in making informed water-resources decisions. © 2017, National Ground Water Association.

  15. Perspectives on Cybersecurity Information Sharing among Multiple Stakeholders Using a Decision-Theoretic Approach.

    Science.gov (United States)

    He, Meilin; Devine, Laura; Zhuang, Jun

    2018-02-01

    The government, private sectors, and others users of the Internet are increasingly faced with the risk of cyber incidents. Damage to computer systems and theft of sensitive data caused by cyber attacks have the potential to result in lasting harm to entities under attack, or to society as a whole. The effects of cyber attacks are not always obvious, and detecting them is not a simple proposition. As the U.S. federal government believes that information sharing on cybersecurity issues among organizations is essential to safety, security, and resilience, the importance of trusted information exchange has been emphasized to support public and private decision making by encouraging the creation of the Information Sharing and Analysis Center (ISAC). Through a decision-theoretic approach, this article provides new perspectives on ISAC, and the advent of the new Information Sharing and Analysis Organizations (ISAOs), which are intended to provide similar benefits to organizations that cannot fit easily into the ISAC structure. To help understand the processes of information sharing against cyber threats, this article illustrates 15 representative information sharing structures between ISAC, government, and other participating entities, and provide discussions on the strategic interactions between different stakeholders. This article also identifies the costs of information sharing and information security borne by different parties in this public-private partnership both before and after cyber attacks, as well as the two main benefits. This article provides perspectives on the mechanism of information sharing and some detailed cost-benefit analysis. © 2017 Society for Risk Analysis.

  16. When the user is not the chooser: learning from stakeholder involvement in technology adoption decisions in infection control.

    Science.gov (United States)

    Ahmad, R; Kyratsis, Y; Holmes, A

    2012-07-01

    Health systems need efficient and effective innovation decisions to provide maximum benefit to patients, particularly in a climate of financial constraints. Although evidence-based innovations exist for helping to address healthcare-associated infections, the uptake and implementation of these is highly variable and in some cases very slow. To investigate innovation adoption decisions and implementation processes from an organizational perspective, focusing on the implications of stakeholder involvement during the innovation process. Thirty-eight technology adoption decisions and implementation processes were examined through 121 qualitative interviews in 12 National Health Service healthcare organizations across England. Stakeholder involvement varied across organizations with decisions highly exclusive to the infection prevention and control (IPC) team, to highly inclusive of wider organizational members. The context, including organizational culture, previous experience, and logistical factors influenced the level of stakeholder engagement. The timing of stakeholder involvement in the process impacted on: (i) the range of innovations considered; (ii) the technologies selected, and (iii) the success of technology implementation. Cases of non-adoption, discontinued adoption, and of successful implementation are presented to share learning. The potential benefits of stakeholder involvement for 'successful' innovation adoption are presented including a goal-oriented framework for involvement. Key stakeholder involvement can lead to innovation adoption and implementation compatible with structural and cultural contexts, particularly when involvement crosses the phases of initiation, decision-making and implementation. Involving members of the wider healthcare organization can raise the profile of IPC and reinforce efforts to make IPC everybody's business. Copyright © 2012 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

  17. Shared mental models of integrated care: aligning multiple stakeholder perspectives.

    Science.gov (United States)

    Evans, Jenna M; Baker, G Ross

    2012-01-01

    Health service organizations and professionals are under increasing pressure to work together to deliver integrated patient care. A common understanding of integration strategies may facilitate the delivery of integrated care across inter-organizational and inter-professional boundaries. This paper aims to build a framework for exploring and potentially aligning multiple stakeholder perspectives of systems integration. The authors draw from the literature on shared mental models, strategic management and change, framing, stakeholder management, and systems theory to develop a new construct, Mental Models of Integrated Care (MMIC), which consists of three types of mental models, i.e. integration-task, system-role, and integration-belief. The MMIC construct encompasses many of the known barriers and enablers to integrating care while also providing a comprehensive, theory-based framework of psychological factors that may influence inter-organizational and inter-professional relations. While the existing literature on integration focuses on optimizing structures and processes, the MMIC construct emphasizes the convergence and divergence of stakeholders' knowledge and beliefs, and how these underlying cognitions influence interactions (or lack thereof) across the continuum of care. MMIC may help to: explain what differentiates effective from ineffective integration initiatives; determine system readiness to integrate; diagnose integration problems; and develop interventions for enhancing integrative processes and ultimately the delivery of integrated care. Global interest and ongoing challenges in integrating care underline the need for research on the mental models that characterize the behaviors of actors within health systems; the proposed framework offers a starting point for applying a cognitive perspective to health systems integration.

  18. Stakeholder Dialogue as Deliberation for Decision Making in Health Policy and Systems: The Approach from Argumentation Theory.

    Science.gov (United States)

    Rubinelli, Sara; von Groote, Per Maximilian

    2017-02-01

    The literature on knowledge translation and dissemination in health care highlights the value of the stakeholder dialogue, namely, a structured process where stakeholders interact to identify the best solution to a given problem. By analyzing the stakeholder dialogue as a form of deliberative argumentation, this article identifies those factors that may hinder or facilitate reaching agreement among stakeholders on options to target problems. Conceptual analysis based on the descriptive and evaluation methods of argumentation theory. When stakeholders have a difference of opinion, confrontation alone does not lead to agreement. A normative model of critical discussion is needed to facilitate stakeholders in reaching this agreement and to prevent barriers to it that can result from personal factors (e.g., attitude and beliefs) or communication moves. This type of dialogue requires a training of stakeholders about the preconditions of argumentation and its different stages. The figure of the moderator is crucial in ensuring that the dialogue fulfills standards of reasonableness. This article offers a reading of the stakeholder dialogue rooted in the tradition of critical thinking. It instructs on how to promote a collaborative exchange among stakeholders as a way to go beyond any expression of views.

  19. Evaluating barriers for reverse logistics implementation under a multiple stakeholders' perspective analysis using grey decision making approach

    DEFF Research Database (Denmark)

    Bouzon, Marina; Govindan, Kannan; Rodriguez, Carlos Manuel Taboada

    2018-01-01

    issues, the subject is still in a state of infancy in emerging economies such as Brazil. In these connections, impediments to reverse logistics implementation must be considered and analyzed, as well as the many different perspectives from the key stakeholders for their development. The objective...... of this research is to evaluate the interrelationship among reverse logistics barriers from the perspectives of the most important stakeholders in the Brazilian context. For this purpose, a Multi-Criteria Decision Making tool named grey-based Decision Making Trial and Evaluation Laboratory (grey-DEMATEL) was used...... to extract a multiple company-customer-government association perspective. Three respondents - one expert from each stakeholder - have been consulted to obtain the pair-wise comparison of barriers. Thus, both the net effect and the importance level of each impediment are provided by means of a Euclidean...

  20. Systematic Identification of Stakeholders for Engagement with Systems Modeling Efforts in the Snohomish Basin, Washington, USA

    Science.gov (United States)

    Even as stakeholder engagement in systems dynamic modeling efforts is increasingly promoted, the mechanisms for identifying which stakeholders should be included are rarely documented. Accordingly, for an Environmental Protection Agency’s Triple Value Simulation (3VS) mode...

  1. The Stakeholder Model of voice research: Acknowledging barriers to human rights of all stakeholders in a communicative exchange.

    Science.gov (United States)

    Madill, Catherine; Warhurst, Samantha; McCabe, Patricia

    2018-02-01

    The act of communication is a complex, transient and often abstract phenomenon that involves many stakeholders, each of whom has their own perspective: the speaker, the listener, the observer and the researcher. Current research practices in voice disorder are frequently framed through a single lens - that of the researcher/clinician or their participant/patient. This single lens approach risks overlooking significant barriers to the basic human right of freedom of expression for those with a voice disorder as it omits consideration of the impact of voice disorder on the listener, and consideration of the wider impact of the voice in the occupational context. Recent research in the area of voice has developed a multiple lens and subsequent Stakeholder Model that acknowledges the experience and reality of multiple stakeholders viewing the same phenomenon, the voice. This research paradigm is built on Article 19 of the Universal Declaration of Human Rights as it considers the realities of all stakeholders in forming a deeper understanding of the causality, impact and aspects of communication disorder. The Stakeholder Model will be presented as a suggestion for future investigations of communication disorders more widely.

  2. Promoting Sustainable Forest Management Among Stakeholders in the Prince Albert Model Forest, Canada

    Directory of Open Access Journals (Sweden)

    Glen T Hvenegaard

    2015-01-01

    Full Text Available Model Forests are partnerships for shared decision-making to support social, environmental, and economic sustainability in forest management. Relationships among sustainable forest management partners are often strained, but the Prince Albert Model Forest (PAMF represents a process of effective stakeholder involvement, cooperative relationships, visionary planning, and regional landscape management. This article seeks to critically examine the history, drivers, accomplishments, and challenges associated with the PAMF. Four key phases are discussed, representing different funding levels, planning processes, research projects, and partners. Key drivers in the PAMF were funding, urgent issues, provincial responsibility, core of committed people, evolving governance, desire for a neutral organisation, role of protected areas, and potential for mutual benefits. The stakeholders involved in the Model Forest, including the forest industry and associated groups, protected areas, Aboriginal groups, local communities, governments, and research groups, were committed to the project, cooperated on many joint activities, provided significant staffing and financial resources, and gained many benefits to their own organisations. Challenges included declining funding, changing administrative structures, multiple partners, and rotating representatives. The PAMF process promoted consultative and integrated land resource management in the region, and demonstrated the positive results of cooperation between stakeholders interested in sustainable forest management.

  3. Collaborative modelling for active involvement of stakeholders in urban flood risk management

    Directory of Open Access Journals (Sweden)

    M. Evers

    2012-09-01

    Full Text Available This paper presents an approach to enhance the role of local stakeholders in dealing with urban floods. The concept is based on the DIANE-CM project (Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk of the 2nd ERANET CRUE funding initiative. The main objective of the project was to develop and test an advanced methodology for enhancing the resilience of local communities to flooding. Through collaborative modelling, a social learning process was initiated that enhances the social capacity of the stakeholders due to the interaction process. The other aim of the project was to better understand how data from hazard and vulnerability analyses and improved maps, as well as from the near real-time flood prediction, can be used to initiate a public dialogue (i.e. collaborative mapping and planning activities in order to carry out more informed and shared decision-making processes and to enhance flood risk awareness. The concept of collaborative modelling was applied in two case studies: (1 the Cranbrook catchment in the UK, with focus on pluvial flooding; and (2 the Alster catchment in Germany, with focus on fluvial flooding. As a result of the interactive and social learning process, supported by sociotechnical instruments, an understanding of flood risk was developed amongst the stakeholders and alternatives for flood risk management for the respective case study area were jointly developed and ranked as a basis for further planning and management.

  4. A web-based tool to engage stakeholders in informing research planning for future decisions on emerging materials

    International Nuclear Information System (INIS)

    Powers, Christina M.; Grieger, Khara D.; Hendren, Christine Ogilvie; Meacham, Connie A.; Gurevich, Gerald; Lassiter, Meredith Gooding; Money, Eric S.; Lloyd, Jennifer M.; Beaulieu, Stephen M.

    2014-01-01

    Prioritizing and assessing risks associated with chemicals, industrial materials, or emerging technologies is a complex problem that benefits from the involvement of multiple stakeholder groups. For example, in the case of engineered nanomaterials (ENMs), scientific uncertainties exist that hamper environmental, health, and safety (EHS) assessments. Therefore, alternative approaches to standard EHS assessment methods have gained increased attention. The objective of this paper is to describe the application of a web-based, interactive decision support tool developed by the U.S. Environmental Protection Agency (U.S. EPA) in a pilot study on ENMs. The piloted tool implements U.S. EPA's comprehensive environmental assessment (CEA) approach to prioritize research gaps. When pursued, such research priorities can result in data that subsequently improve the scientific robustness of risk assessments and inform future risk management decisions. Pilot results suggest that the tool was useful in facilitating multi-stakeholder prioritization of research gaps. Results also provide potential improvements for subsequent applications. The outcomes of future CEAWeb applications with larger stakeholder groups may inform the development of funding opportunities for emerging materials across the scientific community (e.g., National Science Foundation Science to Achieve Results [STAR] grants, National Institutes of Health Requests for Proposals). - Highlights: • A web-based, interactive decision support tool was piloted for emerging materials. • The tool (CEAWeb) was based on an established approach to prioritize research gaps. • CEAWeb facilitates multi-stakeholder prioritization of research gaps. • We provide recommendations for future versions and applications of CEAWeb

  5. Development of a comprehensive model for stakeholder management in mental healthcare

    NARCIS (Netherlands)

    Bierbooms, J.J.P.A.; van Oers, J.A.M.; Bongers, I.M.B.

    2016-01-01

    Purpose Stakeholder management is not yet incorporated into the standard practice of most healthcare providers. The purpose of this paper is to assess the applicability of a comprehensive model for stakeholder management in mental healthcare organization for more evidence-based (stakeholder)

  6. A spatial web/agent-based model to support stakeholders' negotiation regarding land development.

    Science.gov (United States)

    Pooyandeh, Majeed; Marceau, Danielle J

    2013-11-15

    Decision making in land management can be greatly enhanced if the perspectives of concerned stakeholders are taken into consideration. This often implies negotiation in order to reach an agreement based on the examination of multiple alternatives. This paper describes a spatial web/agent-based modeling system that was developed to support the negotiation process of stakeholders regarding land development in southern Alberta, Canada. This system integrates a fuzzy analytic hierarchy procedure within an agent-based model in an interactive visualization environment provided through a web interface to facilitate the learning and negotiation of the stakeholders. In the pre-negotiation phase, the stakeholders compare their evaluation criteria using linguistic expressions. Due to the uncertainty and fuzzy nature of such comparisons, a fuzzy Analytic Hierarchy Process is then used to prioritize the criteria. The negotiation starts by a development plan being submitted by a user (stakeholder) through the web interface. An agent called the proposer, which represents the proposer of the plan, receives this plan and starts negotiating with all other agents. The negotiation is conducted in a step-wise manner where the agents change their attitudes by assigning a new set of weights to their criteria. If an agreement is not achieved, a new location for development is proposed by the proposer agent. This process is repeated until a location is found that satisfies all agents to a certain predefined degree. To evaluate the performance of the model, the negotiation was simulated with four agents, one of which being the proposer agent, using two hypothetical development plans. The first plan was selected randomly; the other one was chosen in an area that is of high importance to one of the agents. While the agents managed to achieve an agreement about the location of the land development after three rounds of negotiation in the first scenario, seven rounds were required in the second

  7. Multi-criteria multi-stakeholder decision analysis using a fuzzy-stochastic approach for hydrosystem management

    Directory of Open Access Journals (Sweden)

    Y. H. Subagadis

    2014-09-01

    Full Text Available The conventional methods used to solve multi-criteria multi-stakeholder problems are less strongly formulated, as they normally incorporate only homogeneous information at a time and suggest aggregating objectives of different decision-makers avoiding water–society interactions. In this contribution, Multi-Criteria Group Decision Analysis (MCGDA using a fuzzy-stochastic approach has been proposed to rank a set of alternatives in water management decisions incorporating heterogeneous information under uncertainty. The decision making framework takes hydrologically, environmentally, and socio-economically motivated conflicting objectives into consideration. The criteria related to the performance of the physical system are optimized using multi-criteria simulation-based optimization, and fuzzy linguistic quantifiers have been used to evaluate subjective criteria and to assess stakeholders' degree of optimism. The proposed methodology is applied to find effective and robust intervention strategies for the management of a coastal hydrosystem affected by saltwater intrusion due to excessive groundwater extraction for irrigated agriculture and municipal use. Preliminary results show that the MCGDA based on a fuzzy-stochastic approach gives useful support for robust decision-making and is sensitive to the decision makers' degree of optimism.

  8. Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases

    Directory of Open Access Journals (Sweden)

    Valerie Hongoh

    2016-04-01

    Full Text Available The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration.

  9. Stakeholder Attitudes, Knowledge and Engagement in Local Road Systems Planning and Decision Making

    Science.gov (United States)

    2017-10-01

    Political and policy dynamics associated with local road systems planning, management, and financing merit special attention. This study: 1) analyzes stakeholder attitudes, knowledge, and engagement about financing for local road system management, t...

  10. Leadership of risk decision making in a complex, technology organization: The deliberative decision making model

    Science.gov (United States)

    Flaming, Susan C.

    2007-12-01

    The continuing saga of satellite technology development is as much a story of successful risk management as of innovative engineering. How do program leaders on complex, technology projects manage high stakes risks that threaten business success and satellite performance? This grounded theory study of risk decision making portrays decision leadership practices at one communication satellite company. Integrated product team (IPT) leaders of multi-million dollar programs were interviewed and observed to develop an extensive description of the leadership skills required to navigate organizational influences and drive challenging risk decisions to closure. Based on the study's findings the researcher proposes a new decision making model, Deliberative Decision Making, to describe the program leaders' cognitive and organizational leadership practices. This Deliberative Model extends the insights of prominent decision making models including the rational (or classical) and the naturalistic and qualifies claims made by bounded rationality theory. The Deliberative Model describes how leaders proactively engage resources to play a variety of decision leadership roles. The Model incorporates six distinct types of leadership decision activities, undertaken in varying sequence based on the challenges posed by specific risks. Novel features of the Deliberative Decision Model include: an inventory of leadership methods for managing task challenges, potential stakeholder bias and debates; four types of leadership meta-decisions that guide decision processes, and aligned organizational culture. Both supporting and constraining organizational influences were observed as leaders managed major risks, requiring active leadership on the most difficult decisions. Although the company's engineering culture emphasized the importance of data-based decisions, the uncertainties intrinsic to satellite risks required expert engineering judgment to be exercised throughout. An investigation into

  11. Markov Decision Process Measurement Model.

    Science.gov (United States)

    LaMar, Michelle M

    2018-03-01

    Within-task actions can provide additional information on student competencies but are challenging to model. This paper explores the potential of using a cognitive model for decision making, the Markov decision process, to provide a mapping between within-task actions and latent traits of interest. Psychometric properties of the model are explored, and simulation studies report on parameter recovery within the context of a simple strategy game. The model is then applied to empirical data from an educational game. Estimates from the model are found to correlate more strongly with posttest results than a partial-credit IRT model based on outcome data alone.

  12. Reviewing the Role of Stakeholders in Operational Research: Opportunities for Group Model Building

    NARCIS (Netherlands)

    Gooyert, V. de; Rouwette, E.A.J.A.; Kranenburg, H.L. van

    2013-01-01

    Stakeholders have always received much attention in system dynamics, especially in the group model building tradition, which emphasizes the deep involvement of a client group in building a system dynamics model. In organizations, stakeholders are gaining more and more attention by managers who try

  13. Modeling Stakeholder Decision Logic: A Case Study of Lebanese Hezbollah

    Science.gov (United States)

    2010-06-01

    own design (Harms 2008). Of recent import in Israeli politics is the issue of demographics . The need for Israel to “realize some form of a...In August, SAVAK reportedly chased militants into a cinema in 32 Abadan and set it on fire, killing 400 inside, including women and children...whose birth rates outpaced those of the Maronite Christians (Norton 2007). Shifting demographics and an inflexible political system explain a

  14. Stakeholder's experiences, expectations and decision making on reproductive care: An ethnographic study of three districts in northern Ghana.

    Directory of Open Access Journals (Sweden)

    Martin Amogre Ayanore

    Full Text Available In Ghana, priority-setting for reproductive health service interventions is known to be rudimentary with little wider stakeholder involvement. In recognizing the need for broad stakeholder engagement to advance reproductive care provision and utilization, it is necessary to jointly study the varied stakeholder views on reproductive care services.We applied an ethnographic study approach where field data was collected between March-May 2015 in three rural districts of northern Ghana. Data was collected among women with recent births experiences (n = 90, health care providers (n = 16 and policy actors (n = 6. In-depth interviews and focus group discussions was applied to collect all data. Each stakeholder participant's audio file was transcribed, and repeatedly read through to identify similar and divergent views in data. A coding scheme guided coding processes. All transcripts were then imported into QSR NVivo 11 for further analysis.Four themes emerged. Women participants accentuated that sex and sexuality values of men have changed over time, and drives gender roles, parity levels and decision making on reproductive care needs at community levels. Sexual stigma on reproductive care reduces the willingness of women to voice poor experiences related to their previous reproductive experiences. All stakeholders' highlighted clinical treatments for post-abortion care are minimally covered under the fee exemption policy for antenatal and postnatal care. Policy processes on service delivery protocols still is top-down in Ghana.Health teams working to improve sexual and reproductive health care must find suitable context strategies that effectively work to improve women reproductive care needs at their operational levels. Private sector participation and informal community support clutches are encouraged to advance the delivery of reproductive care services.

  15. What do stakeholders need to implement shared decision making in routine cancer care? A qualitative needs assessment.

    Science.gov (United States)

    Müller, Evamaria; Hahlweg, Pola; Scholl, Isabelle

    2016-12-01

    Shared decision making (SDM) is particularly relevant in oncology, where complex treatment options with varying side effects may lead to meaningful changes in the patient's quality of life. For several years, health policies have called for the implementation of SDM, but SDM remains poorly implemented in routine clinical practice. Implementation science has highlighted the importance of assessing stakeholders' needs to inform the development of implementation programs. Thus, the aim of the present study was to assess different stakeholders' needs regarding the implementation of SDM in routine care. A qualitative study using focus groups and interviews was conducted. Focus groups were carried out with junior physicians, senior physicians, nurses and other healthcare providers (HPCs) (e.g. psycho-oncologists, physiotherapists), patients and family members. Head physicians as well as other HPCs in management positions were interviewed. Audiotapes of focus groups and interviews were transcribed verbatim and analyzed using content analysis. Six focus groups with a total of n = 42 stakeholders as well as n = 17 interviews were conducted. Focus groups and interviews revealed five main categories of needs to be fulfilled in order to achieve a better implementation of SDM in routine cancer care: 1) changes in communication, 2) involvement of other parties, 3) a trustful patient-physician relationship, 4) culture change and 5) structural changes. Stakeholders discussed four clusters of intervention strategies that could foster the implementation of SDM in routine cancer care: 1) clinician-mediated interventions, 2) patient-mediated interventions, 3) provision of patient information material and 4) the establishment of a patient advocate. Study results show that stakeholders voiced a diversity of needs to foster implementation of SDM in routine cancer care, of which some can be directly addressed by intervention strategies. Present results can be used to develop an

  16. NEA Workshop on Stakeholder Involvement in Nuclear Decision Making, 17-19 January 2017, OECD Conference Centre, Paris, Room CC9

    International Nuclear Information System (INIS)

    Burns, Stephen G.; Yanush, Maryna; Jendroska, Jerzy; Beyens, Marc; Emmerechts, Sam; Touitou-Durand, Florence; Crosland, Martha; Ziakova, Marta; Nuclear Regulatory Authority of the Slovak Republic; Nuclear Regulation Authority; Ferapontov, Alexey; Hayano, Ryugo; Boyd, Mike; Mayall, Andrew; Tomkiv, Yevgeniya; Kawabuchi, Hideo; Kuenzi, Pascale; Shaver, Kathryn; Yngve Toernqvist, Johanna; Bjoerklund, Sara; Gerhardsson, Ansi; Kuenzi, Pascale; Birkhaeuser, Philip; Smith, Katherine; Katz, Sharonne; Vanhatalo, Hanna; Thome-Jassaud, Pierre-Franck; Bae, Su Hwan; Straub, Ralf; Gadano, Julian; Wolsink, Maarten; Komendantova, Nadejda; Kalaydjian, Francois; Harrington, Holly; Bouchot, Emmanuel; Runyon, Timothy; Gonzalez Herrero, Eva; Maclachlan, Ann

    2017-01-01

    Nuclear issues are embedded with broader societal issues such as the environment, risk management, energy and health policies, and sustainability. As such, nuclear projects often generate considerable interest and concern from stakeholders. In this context 'stakeholder' is intended to be taken in its broadest sense and should include concerned public, businesses, economic actors, NGOs, local, regional and national authorities, nuclear regulators, etc. Anyone who has relevant information, experience or concerns may seek to participate in the decision making process, and to interact with other stakeholders. Nuclear regulators, governments, operators, and other decision makers have a responsibility to ensure a high degree of transparency and to make clear and well-reasoned decisions. In this respect, there is an increasing demand for stakeholder involvement, participation and engagement. Across NEA member countries, many different approaches are taken to stakeholder involvement as decisions are made and implemented. Well-informed decisions broadly reflect the input of stakeholder views in a balanced fashion, the achievement of which can be difficult to assess. Attempts to achieve such broad understanding of views and acceptance of resulting decisions are an important part of building public confidence. Additionally, interested citizens, other stakeholders, and non-governmental organisations often call upon decision processes to be conducted in a manner that maintains public confidence. This workshop was not about what decision is made. Rather, it was about decision making processes used to reflect stakeholder concerns and input. How does one effectively involve stakeholders? How does one build and assess public confidence? How can broader stakeholder involvement help decision makers to make well-informed decisions that effectively address stakeholder views? On 17-19 January 2017, the NEA hosted a workshop on Stakeholder Involvement in Nuclear Decision Making

  17. Uncertainty modeling and decision support

    International Nuclear Information System (INIS)

    Yager, Ronald R.

    2004-01-01

    We first formulate the problem of decision making under uncertainty. The importance of the representation of our knowledge about the uncertainty in formulating a decision process is pointed out. We begin with a brief discussion of the case of probabilistic uncertainty. Next, in considerable detail, we discuss the case of decision making under ignorance. For this case the fundamental role of the attitude of the decision maker is noted and its subjective nature is emphasized. Next the case in which a Dempster-Shafer belief structure is used to model our knowledge of the uncertainty is considered. Here we also emphasize the subjective choices the decision maker must make in formulating a decision function. The case in which the uncertainty is represented by a fuzzy measure (monotonic set function) is then investigated. We then return to the Dempster-Shafer belief structure and show its relationship to the fuzzy measure. This relationship allows us to get a deeper understanding of the formulation the decision function used Dempster- Shafer framework. We discuss how this deeper understanding allows a decision analyst to better make the subjective choices needed in the formulation of the decision function

  18. Fuzziness and fuzzy modelling in Bulgaria's energy policy decision-making dilemma

    International Nuclear Information System (INIS)

    Wang Xingquan

    2006-01-01

    The decision complexity resulting from imprecision in decision variables and parameters, a major difficulty for conventional decision analysis methods, can be relevantly analysed and modelled by fuzzy logic. Bulgaria's nuclear policy decision-making process implicates such complexity of imprecise nature: stakeholders, criteria, measurement, etc. Given the suitable applicability of fuzzy logic in this case, this article tries to offer a concrete fuzzy paradigm including delimitation of decision space, quantification of imprecise variables, and, of course, parameterisation. (author)

  19. Fuzziness and fuzzy modelling in Bulgaria's energy policy decision-making dilemma

    Energy Technology Data Exchange (ETDEWEB)

    Wang Xingquan [GREGOR, University Paris I, Pantheon-Sorbonne, Paris (France)]. E-mail: wangxingquan@gmail.com

    2006-07-01

    The decision complexity resulting from imprecision in decision variables and parameters, a major difficulty for conventional decision analysis methods, can be relevantly analysed and modelled by fuzzy logic. Bulgaria's nuclear policy decision-making process implicates such complexity of imprecise nature: stakeholders, criteria, measurement, etc. Given the suitable applicability of fuzzy logic in this case, this article tries to offer a concrete fuzzy paradigm including delimitation of decision space, quantification of imprecise variables, and, of course, parameterisation. (author)

  20. Climate Modeling and Analysis with Decision Makers in Mind

    Science.gov (United States)

    Jones, A. D.; Jagannathan, K.; Calvin, K. V.; Lamarque, J. F.; Ullrich, P. A.

    2016-12-01

    There is a growing need for information about future climate conditions to support adaptation planning across a wide range of sectors and stakeholder communities. However, our principal tools for understanding future climate - global Earth system models - were not developed with these user needs in mind, nor have we developed transparent methods for evaluating and communicating the credibility of various climate information products with respect to the climate characteristics that matter most to decision-makers. Several recent community engagements have identified a need for "co-production" of knowledge among stakeholders and scientists. Here we highlight some of the barriers to communication and collaboration that must be overcome to improve the dialogue among researchers and climate adaptation practitioners in a meaningful way. Solutions to this challenge are two-fold: 1) new institutional arrangements and collaborative mechanisms designed to improve coordination and understanding among communities, and 2) a research agenda that explicitly incorporates stakeholder needs into model evaluation, development, and experimental design. We contrast the information content in global-scale model evaluation exercises with that required for in specific decision contexts, such as long-term agricultural management decisions. Finally, we present a vision for advancing the science of model evaluation in the context of predicting decision-relevant hydroclimate regime shifts in North America.

  1. Stakeholder Governance

    DEFF Research Database (Denmark)

    Flak, Leif Skiftenes; Rose, Jeremy

    2005-01-01

    The e-government field, like most young fields, lacks a strong body of well-developed theory. One strategy for coping with theoretical immaturity is to import and adapt theories from other, more mature fields. This study reviews Stakeholder Theory (ST) and investigates its potential in relation...... to e-Government. Originally a management theory, stakeholder theory advocates addressing the concerns of all stakeholders in a firm, as opposed to concentration on the interests of senior managers and stockholders. Apart from the original profit focus, there is no serious conceptual mismatch between...... stakeholder theory and government’s objective of providing policy and services for citizens and organizations – society’s stakeholders. Potential problems with adapting a management theory to a government setting are discussed. The paper further discusses how information technology impacts a stakeholder model...

  2. Handbook of Marketing Decision Models

    NARCIS (Netherlands)

    B. Wierenga (Berend)

    2008-01-01

    textabstractThis book presents the state of the art in marketing decision models, dealing with new modeling areas such as customer relationship management, customer value and online marketing, but also describes recent developments in other areas. In the category of marketing mix models, the latest

  3. On Stakeholders and the Decision Making Process Concerning Sustainable Renovation and Refurbishment in Sweden, Denmark and Cyprus

    DEFF Research Database (Denmark)

    Gohardani, Navid; Björk, Folke; Jensen, Per Anker

    2013-01-01

    This article examines the decision making process related to sustainable renovation and refurbishment in buildings. The utilized methodology identifies three distinct phases in order to instigate an engagement in sustainable renovation, by means of questionnaires and semi-structured interviews....... In particular, the attitude of stakeholders in Sweden, Denmark and Cyprus to sustainable building renovation/refurbishment is studied through three separate case studies. Within the framework of this study, it is identified that building physics and durability are the most important drivers for energy...

  4. Nursing Home Stakeholder Views of Resident Involvement in Medical Care Decisions

    Science.gov (United States)

    Garcia, Theresa J.; Harrison, Tracie C.; Goodwin, James S.

    2017-01-01

    Demand by nursing home residents for involvement in their medical care, or, patient-centered care, is expected to increase as baby boomers begin seeking long-term care for their chronic illnesses. To explore the needs in meeting this proposed demand, we used a qualitative descriptive method with content analysis to obtain the joint perspective of key stakeholders on the current state of person-centered medical care in the nursing home. We interviewed 31 nursing home stakeholders: 5 residents, 7 family members, 8 advanced practice registered nurses, 5 physicians, and 6 administrators. Our findings revealed constraints placed by the long-term care system limited medical involvement opportunities and created conflicting goals for patient-centered medical care. Resident participation in medical care was perceived as low, but important. The creation of supportive educational programs for all stakeholders to facilitate a common goal for nursing home admission and to provide assistance through the long-term care system was encouraged. PMID:25721717

  5. Nursing Home Stakeholder Views of Resident Involvement in Medical Care Decisions.

    Science.gov (United States)

    Garcia, Theresa J; Harrison, Tracie C; Goodwin, James S

    2016-04-01

    Demand by nursing home residents for involvement in their medical care, or, patient-centered care, is expected to increase as baby boomers begin seeking long-term care for their chronic illnesses. To explore the needs in meeting this proposed demand, we used a qualitative descriptive method with content analysis to obtain the joint perspective of key stakeholders on the current state of person-centered medical care in the nursing home. We interviewed 31 nursing home stakeholders: 5 residents, 7 family members, 8 advanced practice registered nurses, 5 physicians, and 6 administrators. Our findings revealed constraints placed by the long-term care system limited medical involvement opportunities and created conflicting goals for patient-centered medical care. Resident participation in medical care was perceived as low, but important. The creation of supportive educational programs for all stakeholders to facilitate a common goal for nursing home admission and to provide assistance through the long-term care system was encouraged. © The Author(s) 2015.

  6. Use and perceived benefits and barriers of QSAR models for REACH: findings from a questionnaire to stakeholders

    Directory of Open Access Journals (Sweden)

    Mays Claire

    2012-12-01

    Full Text Available Abstract The ORCHESTRA online questionnaire on “benefits and barriers to the use of QSAR methods” addressed the academic, consultant, regulatory and industry communities potentially interested by QSAR methods in the context of REACH. Replies from more than 60 stakeholders produced some insights on the actual application of QSAR methods, and how to improve their use. Respondents state in majority that they have used QSAR methods. All have some future plans to test or use QSAR methods in accordance with their stakeholder role. The stakeholder respondents cited a total of 28 models, methods or software that they have actually applied. The three most frequently cited suites, used moreover by all the stakeholder categories, are the OECD Toolbox, EPISuite and CAESAR; all are free tools. Results suggest that stereotyped assumptions about the barriers to application of QSAR may be incorrect. Economic costs (including potential delays are not found to be a major barrier. And only one respondent “prefers” traditional, well-known and accepted toxicological assessment methods. Information and guidance may be the keys to reinforcing use of QSAR models. Regulators appear most interested in obtaining clear explanation of the basis of the models, to provide a solid basis for decisions. Scientists appear most interested in the exploration of the scientific capabilities of the QSAR approach. Industry shows interest in obtaining reassurance that appropriate uses of QSAR will be accepted by regulators.

  7. An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada

    Directory of Open Access Journals (Sweden)

    Nii Antiaye Addy

    2015-01-01

    Full Text Available Multi-stakeholder partnerships (MSPs have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed

  8. The UNITE-DSS Modelling System: Risk Simulation and Decision Conferencing

    DEFF Research Database (Denmark)

    Salling, Kim Bang; Barfod, Michael Bruhn

    This presentation introduces the brand new approach of integrating risk simulation and decision conferencing within transport project appraisal (UNITE-DSS model). The modelling approach is divided into various modules respectively as point estimates (cost-benefit analysis), stochastic interval...... results (quantitative risk analysis and Monte Carlo simulation) and finally framed within stakeholder involvement (decision conferencing) as depicted in the figure....

  9. Stakeholders' perspective on ecological modeling in environmental risk assessment of pesticides

    DEFF Research Database (Denmark)

    Hunka, Agnieszka; Meli, Mattia; Thit, Amalie

    2013-01-01

    The paper closely examines the role of mechanistic effect models (e.g., population models) in the European environmental risk assessment (ERA) of pesticides. We studied perspectives of three stakeholder groups on population modeling in ERA of pesticides. Forty-three in-depth, semi-structured inte......The paper closely examines the role of mechanistic effect models (e.g., population models) in the European environmental risk assessment (ERA) of pesticides. We studied perspectives of three stakeholder groups on population modeling in ERA of pesticides. Forty-three in-depth, semi......-structured interviews were conducted with stakeholders from regulatory authorities, industry and academia all over Europe. The key informant approach was employed in recruiting our participants. They were first identified as key stakeholders in the field and then sampled by means of a purposive sampling, where each...

  10. Multi-criteria decision making in flood risk management: research progress and the challenge of handling uncertainty and stakeholder participation

    Science.gov (United States)

    Madruga de Brito, Mariana; Evers, Mariele

    2016-04-01

    Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners for solving flood risk management problems in the last decades due to its capacity to deal with multiple criteria, conflicting objectives as well as the knowledge arising from the participation of several actors. In order to consolidate recent research conducted in this area, this study presents a state-of-the-art literature review of MCDM applications to flood risk management, seeking to provide a better understanding of the current status of how participatory MCDM is being conducted and the way uncertainties are included in the decision-making process. Totally, 128 peer-reviewed papers published from 1995 to June 2015 in 72 different journals were systematically analyzed. Results indicated that the number of flood MCDM publications has exponentially grown during this period, with over 82% of all papers published since 2009. A wide range of application areas was identified, with most papers focusing on ranking alternatives for flood mitigation (22.78% of the total) followed by risk (21.11%) and vulnerability assessment (15%). The Analytical Hierarchy Process (AHP) was the most popular MCDM method (42.72%) followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) (13.33%) and Weighted Sum Method (WSM) (12.73%). Although significant improvements have been made over the last decades, shortcomings remain in handling the uncertainty. Only eight papers (6.25%) have conducted uncertainty analysis, suggesting that a general procedure for performing it in MCDM does not yet exist. Researchers have applied the Monte Carlo simulation, Taylor's series error propagation method or assessed the uncertainty in qualitative ways, by describing its main sources or analyzing the stakeholders' degree of confidence. In addition, 35 articles (27.34%) have performed a sensitivity analysis of the criteria weights. Three distinct approaches were

  11. Modeling uncertainty in requirements engineering decision support

    Science.gov (United States)

    Feather, Martin S.; Maynard-Zhang, Pedrito; Kiper, James D.

    2005-01-01

    One inherent characteristic of requrements engineering is a lack of certainty during this early phase of a project. Nevertheless, decisions about requirements must be made in spite of this uncertainty. Here we describe the context in which we are exploring this, and some initial work to support elicitation of uncertain requirements, and to deal with the combination of such information from multiple stakeholders.

  12. A novel sustainable decision making model for municipal solid waste management

    International Nuclear Information System (INIS)

    Hung, M.-L.; Ma Hwongwen; Yang, W.-F.

    2007-01-01

    This paper reviews several models developed to support decision making in municipal solid waste management (MSWM). The concepts underlying sustainable MSWM models can be divided into two categories: one incorporates social factors into decision making methods, and the other includes public participation in the decision-making process. The public is only apprised or takes part in discussion, and has little effect on decision making in most research efforts. Few studies have considered public participation in the decision-making process, and the methods have sought to strike a compromise between concerned criteria, not between stakeholders. However, the source of the conflict arises from the stakeholders' complex web of value. Such conflict affects the feasibility of implementing any decision. The purpose of this study is to develop a sustainable decision making model for MSWM to overcome these shortcomings. The proposed model combines multicriteria decision making (MCDM) and a consensus analysis model (CAM). The CAM is built up to aid in decision-making when MCDM methods are utilized and, subsequently, a novel sustainable decision making model for MSWM is developed. The main feature of CAM is the assessment of the degree of consensus between stakeholders for particular alternatives. A case study for food waste management in Taiwan is presented to demonstrate the practicality of this model

  13. Facilitated workshop method to involve stakeholders and public in decision making process in radiological emergencies

    International Nuclear Information System (INIS)

    Mustonen, Raimo; Sinkko, Kari; Haemaelaeinen, Raimo P.

    2006-01-01

    International organisations in radiation protection have for many years recommended that key players, e.g. authorities, expert organisations, industry, producers of foodstuffs and even the public, should be involved in the planning of protective actions in case of a nuclear accident. In this work, we have developed and tested a facilitated workshop method where representatives from various fields of the society aim to identify and evaluate systematically protective actions. Decision analysis techniques have been applied in workshops in order to find out the most feasible countermeasure strategies and to make the decision making-process transparent and auditable. The work builds on case studies where it was assumed that a hypothetical accident had led to a release of considerable amounts of radionuclides and therefore various types of countermeasures should be considered. This paper provides experiences gained in several European countries on how to facilitate this kind of workshops and how modern decision analysis techniques can be applied in the decision-making process

  14. Rule-based decision making model

    International Nuclear Information System (INIS)

    Sirola, Miki

    1998-01-01

    A rule-based decision making model is designed in G2 environment. A theoretical and methodological frame for the model is composed and motivated. The rule-based decision making model is based on object-oriented modelling, knowledge engineering and decision theory. The idea of safety objective tree is utilized. Advanced rule-based methodologies are applied. A general decision making model 'decision element' is constructed. The strategy planning of the decision element is based on e.g. value theory and utility theory. A hypothetical process model is built to give input data for the decision element. The basic principle of the object model in decision making is division in tasks. Probability models are used in characterizing component availabilities. Bayes' theorem is used to recalculate the probability figures when new information is got. The model includes simple learning features to save the solution path. A decision analytic interpretation is given to the decision making process. (author)

  15. Stakeholder Models for Social and Mobile Media CSR Projects

    DEFF Research Database (Denmark)

    Kampf, Constance Elizabeth

    2014-01-01

    now have the ability to engage with knowledge resources related to CSR made available through innovative uses of smartphone and social media technology. In these cases of consumer initiated sustainability-on-the go—the Good Guide, CarrotMob and Colalife— organizations founded by activist individuals......This paper is intended to demonstrate current uses of smartphone and social media technology by consumers. The three cases discussed show ways in which consumers have built communities through social and mobile media for a range of purposes—1) to organize their purchasing activities to get...... to engage with business about Corporate Social Responsibility (CSR). Second, it discusses how this technology calls for an expansion of our understanding of how to interact with stakeholders. This includes moving from a communication-focused perspective to an engagement perspective, meaning that consumers...

  16. Participatory System Dynamics Modeling: Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems.

    Science.gov (United States)

    Zimmerman, Lindsey; Lounsbury, David W; Rosen, Craig S; Kimerling, Rachel; Trafton, Jodie A; Lindley, Steven E

    2016-11-01

    Implementation planning typically incorporates stakeholder input. Quality improvement efforts provide data-based feedback regarding progress. Participatory system dynamics modeling (PSD) triangulates stakeholder expertise, data and simulation of implementation plans prior to attempting change. Frontline staff in one VA outpatient mental health system used PSD to examine policy and procedural "mechanisms" they believe underlie local capacity to implement evidence-based psychotherapies (EBPs) for PTSD and depression. We piloted the PSD process, simulating implementation plans to improve EBP reach. Findings indicate PSD is a feasible, useful strategy for building stakeholder consensus, and may save time and effort as compared to trial-and-error EBP implementation planning.

  17. Stakeholder management from the business perspective

    OpenAIRE

    Krstić Nataša

    2014-01-01

    In an increasingly global and highly competitive business world of today, the business sector pays meticulous attention to stakeholders - groups or individuals, which affect or are affected by business decisions. The paper examines the methodology of identifying key stakeholders, demonstrates the process of their various mapping models, as well as the manner in which stakeholders, in cooperation with a corporation, create the opportunity to be engaged at an early stage of a project, activity ...

  18. Policy and science of FMD control: the stakeholders' contribution to decision making. A call for integrated animal disease management.

    Science.gov (United States)

    Marshall, M; Roger, P

    Effective control of foot-and-mouth disease (FMD)--prevention, surveillance and response--requires integrated animal disease management as a cooperative effort between stakeholders, scientists and decision makers, at all levels: local, national, regional and international. This paper suggests a process and outlines specific critical issues that need to be addressed in order to best use the science and technology that is available now and to develop new technologies that will lead to significant improvements. The overall objective is not to allow the disease or the disease control measures to damage, violate or destroy public health, the environment, or the economy, or to allow politics to drive disease control policies at the expense of the ethical relationship between man and animals. Critical issues of prevention, surveillance and response policies are examined, and specific recommendations are made to reduce the risk or effect of natural and deliberate introductions. For prevention: a) rapid portable diagnostics and provision of vaccines to control and eradicate the reservoirs of disease. b) alerts, leading to increased controls at borders, animal movement restrictions and biosecurity on farms. For surveillance: a) reporting of unusual symptoms, rapid diagnostics and identification of patterns. b) enhanced role of geographic information systems (GIS) linked to an IT system. c) collection, storage and sharing of disease information. For response policies: a) the role and implementation of stamping out and of vaccination. b) simulation exercises with stakeholder participation. For all aspects of FMD control, consideration should be given to: a) the composition, responsibilities and role of the balanced, permanently operational Expert Group in EU member states as specified in the EU FMD Directive. b) establishment of a balanced, permanently operational European Expert Group. c) establishment of both a European and an International FMD Task Force. Stakeholders need

  19. Toward actionable science: Empowering ecologists to engage in the process of translation through decision-maker and stakeholder partnerships

    Science.gov (United States)

    Enquist, C.; Jackson, S. T.; Garfin, G. M.

    2017-12-01

    Translational ecology is an approach by which ecologists, stakeholders, and decision-makers work collaboratively to develop and deliver ecological research that, ideally, results in actionable science that leads to improved environmental decision-making. We analyzed a diverse array of real-world case studies and distilled six principles that characterize the practice of translational ecology: communication, commitment, collaboration, engagement, process, and decision-framing. In this talk, we highlight a subset of the case studies that illustrate these principles. Notably, we found that translational ecology is distinct from both basic and applied ecological research. As a practice, the approach deliberately extends research beyond theory or opportunistic applications, motivated by a search for outcomes that directly serve the needs of natural resource managers and decision-makers. Translational ecology is also distinct from knowledge co-production in that it does not require deep engagement between collaborators, although incorporating differing modes of co-production relative to the decision context, associated time frame, and available financial resources can greatly enhance the translational approach. Although there is a need for incentives to pursue in this type of work, we found that the creativity and context-specific knowledge of resource managers, practitioners, and decision-makers informs and enriches the scientific process, helping shape actionable science. Moreover, the process of addressing research questions arising from on-the-ground management issues, rather than from the top-down or expert-oriented perspectives of traditional science, can foster the long-term trust and commitment that is critical for long-term, sustained engagement between partners. Now, perhaps more than ever, the climate and environmental issues facing society are complex, often politicized, and value-laden. We argue that ecological science should play a key role in informing

  20. Stakeholder perceptions of decision-making process on marine biodiversity conservation on sal island (Cape Verde

    Directory of Open Access Journals (Sweden)

    Jorge Ramos

    2011-01-01

    Full Text Available In the Sal Island (Cape Verde there is a growing involvement, will and investment in the creation of tourism synergies. However, much of the economic potential of the island can be found submerged in the sea: it is its intrinsic 'biodiversity'. Due to this fact, and in order to balance environmental safety and human pressure, it has been developed a strategy addressing both diving and fishing purposes. That strategy includes the deployment of several artificial reefs (ARs around the island. In order to allocate demand for diving and fishing purposes, we have developed a socio-economic research approach addressing the theme of biodiversity and reefs (both natural and artificial and collected expectations from AR users by means of an inquiry method. It is hypothesized a project where some management measures are proposed aiming marine biodiversity conservation. Using the methodology named as analytic hierarchy process (AHP it was scrutinized stakeholders' perception on the best practice for marine biodiversity conservation in the Sal Island. The results showed that to submerge obsolete structures in rocky or mixed areas have a high potential, but does not gathers consensuality. As an overall conclusion, it seems that limitation of activities is the preferred management option to consider in the future.Na Ilha do Sal (Cabo Verde existe um crescente envolvimento, vontade e investimento na criação de sinergias turísticas. Contudo, muito do potencial económico da ilha está submerso - a biodiversidade marinha. Devido a este facto, e tendo em vista promover a sustentabilidade ambiental associada ao eco-turismo, vem sendo desenvolvida uma estratégia direccionada, quer ao mergulho, quer à pesca. Esta estratégia inclui a implantação de vários recifes artificiais (RA na Baía de Santa Maria. De modo a alocar a procura para propósitos como o mergulho e a pesca, desenvolvemos um plano de pesquisa socio-económica relativo ao tema da biodiversidade

  1. Who are the Relevants Stakeholders to the Local Government Context? Empirical Evidences on Environmental Influences in the Decision-Making Process of English Local Authorities

    Directory of Open Access Journals (Sweden)

    Ricardo Corrêa Gomes

    2004-07-01

    Full Text Available This article presents empirical evidence of stakeholding in the local government context. It is the result of a survey carried out with English Local Authorities in 2001. It outlines the arena in which local government make decisions by pinpointing the relevant stakeholders in the process as well as the amount of power they areperceived to represent by chief executives. The investigation has its theoretical basis in resource dependence and institutional theories, which are commonly used for explaining an organization’s behaviour and performance as influenced by its environment. As an empirical contribution, the article proposes a stakeholder map for any kind of local government organizations that will help in identifying strategies for managing stakeholders.

  2. Scientists and Stakeholders in the Chesapeake Bay: How the Mid-Atlantic RISA Strengthens Climate Resilience Through Participatory Decision-Making Processes

    Science.gov (United States)

    Knopman, D.; Berg, N.

    2017-12-01

    The NOAA Mid-Atlantic Regional Integrated Sciences and Assessments (MARISA) program was formed in September 2016 to increase climate resilience in the Mid-Atlantic, with an initial focus on the Chesapeake Bay Watershed. In this talk, we will discuss how the program's unique structure and approach are designed to advance resilience to a changing climate through improved data, place-based decision support, and public engagement. Emphasis will be placed on MARISA's approach to integrating stakeholder perspectives from the onset of decision scoping, through the creation of actionable data sets, and concluding with the co-development of adaptation strategies between the scientific community, decision-makers, and stakeholders. Specific examples of this process involving climate-sensitive decisions and investments regarding water resources, land management, and urban corridors will be discussed.

  3. Decision tree modeling using R.

    Science.gov (United States)

    Zhang, Zhongheng

    2016-08-01

    In machine learning field, decision tree learner is powerful and easy to interpret. It employs recursive binary partitioning algorithm that splits the sample in partitioning variable with the strongest association with the response variable. The process continues until some stopping criteria are met. In the example I focus on conditional inference tree, which incorporates tree-structured regression models into conditional inference procedures. While growing a single tree is subject to small changes in the training data, random forests procedure is introduced to address this problem. The sources of diversity for random forests come from the random sampling and restricted set of input variables to be selected. Finally, I introduce R functions to perform model based recursive partitioning. This method incorporates recursive partitioning into conventional parametric model building.

  4. Multicriteria decision analysis: Overview and implications for environmental decision making

    Science.gov (United States)

    Hermans, Caroline M.; Erickson, Jon D.; Erickson, Jon D.; Messner, Frank; Ring, Irene

    2007-01-01

    Environmental decision making involving multiple stakeholders can benefit from the use of a formal process to structure stakeholder interactions, leading to more successful outcomes than traditional discursive decision processes. There are many tools available to handle complex decision making. Here we illustrate the use of a multicriteria decision analysis (MCDA) outranking tool (PROMETHEE) to facilitate decision making at the watershed scale, involving multiple stakeholders, multiple criteria, and multiple objectives. We compare various MCDA methods and their theoretical underpinnings, examining methods that most realistically model complex decision problems in ways that are understandable and transparent to stakeholders.

  5. Consideration of Insulin Pumps or Continuous Glucose Monitors by Adolescents With Type 1 Diabetes and Their Parents: Stakeholder Engagement in the Design of Web-Based Decision Aids.

    Science.gov (United States)

    Wysocki, Tim; Hirschfeld, Fiona; Miller, Louis; Izenberg, Neil; Dowshen, Steven A; Taylor, Alex; Milkes, Amy; Shinseki, Michelle T; Bejarano, Carolina; Kozikowski, Chelsea; Kowal, Karen; Starr-Ashton, Penny; Ross, Judith L; Kummer, Mark; Carakushansky, Mauri; Lyness, D'Arcy; Brinkman, William; Pierce, Jessica; Fiks, Alexander; Christofferson, Jennifer; Rafalko, Jessica; Lawson, Margaret L

    2016-08-01

    This article describes the stakeholder-driven design, development, and testing of web-based, multimedia decision aids for youth with type 1 diabetes who are considering the insulin pump or continuous glucose monitoring and their parents. This is the initial phase of work designed to develop and evaluate the efficacy of these decision aids in promoting improved decision-making engagement with use of a selected device. Qualitative interviews of 36 parents and adolescents who had previously faced these decisions and 12 health care providers defined the content, format and structure of the decision aids. Experts in children's health media helped the research team to plan, create, and refine multimedia content and its presentation. A web development firm helped organize the content into a user-friendly interface and enabled tracking of decision aid utilization. Throughout, members of the research team, adolescents, parents, and 3 expert consultants offered perspectives about the website content, structure, and function until the design was complete. With the decision aid websites completed, the next phase of the project is a randomized controlled trial of usual clinical practice alone or augmented by use of the decision aid websites. Stakeholder-driven development of multimedia, web-based decision aids requires meticulous attention to detail but can yield exceptional resources for adolescents and parents contemplating major changes to their diabetes regimens. © 2016 The Author(s).

  6. Involving stakeholders in building integrated fisheries models using Bayesian methods

    DEFF Research Database (Denmark)

    Haapasaari, Päivi Elisabet; Mäntyniemi, Samu; Kuikka, Sakari

    2013-01-01

    the potential of the study to contribute to the development of participatory modeling practices. It is concluded that the subjective perspective to knowledge, that is fundamental in Bayesian theory, suits participatory modeling better than a positivist paradigm that seeks the objective truth. The methodology...

  7. A contextual ICA stakeholder model approach for the Namibian spatial data infrastructure (NamSDI)

    CSIR Research Space (South Africa)

    Sinvula, KM

    2013-08-01

    Full Text Available , the International Cartographic Association (ICA) model was used to identify the stakeholders in and around NamSDI, which is still at the infancy stage of development. The application of a high-level ICA model proved to be relevant and useful in discriminating...

  8. Modeling prioritized multicriteria decision making.

    Science.gov (United States)

    Yager, Ronald R

    2004-12-01

    We consider the problem of multicriteria decision making (MCDM) in the situation in which there exists a prioritization of criteria. A good example of prioritization among criteria occurs in the case of air travel, where concerns about passenger safety have a higher priority then economic concerns. Tradeoffs between saving on gasoline usage and jeopardizing passenger safety are unacceptable. We show how this prioritization of criteria can be modeled by using importance weights in which the weights associated with the lower priority criteria are related to the satisfaction of the higher priority criteria. We provide some models that allow for the formalization of these prioritized MCDM problems using both the Bellman-Zadeh paradigm for MCDM and the ordered weighted averaging (OWA) operator method.

  9. The KONVERGENCE Model for Sustainable Decisions

    Energy Technology Data Exchange (ETDEWEB)

    Kerr, Thomas A; Dakins, Maxine; Gibson, Patrick Lavern; Joe, Jeffrey Clark; Nitschke, Robert Leon; Piet, Steven James

    2002-08-01

    The KONVERGENCE Model for Sustainable Decisions is a new way of viewing, developing, organizing, and evaluating alternatives for decisions that may affect a wide range of interests and that must factor in long timeframes, enduring hazards, and/or continuing responsibilities. It differs from other models in that it addresses the need for decisions to continue to "work" over long time periods in an ever-changing decision environment. The authors show that the model contains three major universes - knowledge, values, and resources (the K, V, and R in KONVERGENCE)- that interact and overlap throughout the effective lifetime of a decision. They discuss how decision-makers and decision participants can use the model to craft and analyze decisions and decision processes that stand the test of time. The authors use the U.S. moon-landing program as an example of a major decision process that was sustained over time. They use the model to explain why events unfolded in the way that they did - and why we are where we are today in that program. The authors believe that this model will be especially useful in long-term decision processes such as those that address contamination cleanup programs, long-term environmental stewardship, and the initial siting of facilities with long-term objectives. Companion papers describe the KONVERGENCE Model process steps and implications for intractable cleanup decisions.

  10. Towards a multi-stakeholder-driven model for excellence in higher ...

    African Journals Online (AJOL)

    Additionally, the principles of learner empowerment, employability, transparency and world-class quality form the foundation of this strategic-driven model for curriculum development. Six phases are postulated with stakeholder engagement during all phases. Three broad areas of quality planning, quality management ...

  11. Modeling transport pricing with multiple stakeholders. Working paper : Methodology and a case study

    NARCIS (Netherlands)

    Smits, E.

    2012-01-01

    Pricing measures (e.g., a kilometre charge or cordon toll) are used to improve the external effects of transportation (e.g., congestion or emissions). This working paper presents a planning model for pricing while taking the preferences and interactions of multiple stakeholders (e.g., governments or

  12. Three Tier Unified Process Model for Requirement Negotiations and Stakeholder Collaborations

    Science.gov (United States)

    Niazi, Muhammad Ashraf Khan; Abbas, Muhammad; Shahzad, Muhammad

    2012-11-01

    This research paper is focused towards carrying out a pragmatic qualitative analysis of various models and approaches of requirements negotiations (a sub process of requirements management plan which is an output of scope managementís collect requirements process) and studies stakeholder collaborations methodologies (i.e. from within communication management knowledge area). Experiential analysis encompass two tiers; first tier refers to the weighted scoring model while second tier focuses on development of SWOT matrices on the basis of findings of weighted scoring model for selecting an appropriate requirements negotiation model. Finally the results are simulated with the help of statistical pie charts. On the basis of simulated results of prevalent models and approaches of negotiations, a unified approach for requirements negotiations and stakeholder collaborations is proposed where the collaboration methodologies are embeded into selected requirements negotiation model as internal parameters of the proposed process alongside some external required parameters like MBTI, opportunity analysis etc.

  13. Optimising Transport Decision Making using Customised Decision Models and Decision Conferences

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn

    The subject of this Ph.D. thesis entitled “Optimising Transport Decision Making using Customised Decision Models and Decision Conferences” is multi-criteria decision analysis (MCDA) and decision support in the context of transport infrastructure assessments. Despite the fact that large amounts...... depends to a high degree on subjective preferences stated by the decision-makers as the methodology deals with impacts (or criteria) that are difficult to quantify or assign with a monetary value. As a result of this an examination process is proposed that can guide the decision-makers through...... and rail to bike transport projects. Two major concerns have been to propose an examination process that can be used in situations where complex decision problems need to be addressed by experts as well as non-experts in decision making, and to identify appropriate assessment techniques to be used...

  14. Canadian Whole-Farm Model Holos - Development, Stakeholder Involvement, and Model Application

    Science.gov (United States)

    Kroebel, R.; Janzen, H.; Beauchemin, K. A.

    2017-12-01

    Agriculture and Agri-Food Canada's Holos model, based mostly on emission factors, aims to explore the effect of management on Canadian whole-farm greenhouse gas emissions. The model includes 27 commonly grown annual and perennial crops, summer fallow, grassland, and 8 types of tree plantings, along with beef, dairy, sheep, swine and other livestock or poultry operations. Model outputs encompass net emissions of CO2, CH4, and N2O (in CO2 equivalents), calculated for various farm components. Where possible, algorithms are drawn from peer-reviewed publications. For consistency, Holos is aligned with the Canadian sustainability indicator and national greenhouse gas inventory objectives. Although primarily an exploratory tool for research, the model's design makes it accessible and instructive also to agricultural producers, educators, and policy makers. Model development, therefore, proceeds iteratively, with extensive stakeholder feedback from training sessions or annual workshops. To make the model accessible to diverse users, the team developed a multi-layered interface, with general farming scenarios for general use, but giving access to detailed coefficients and assumptions to researchers. The model relies on extensive climate, soil, and agronomic databases to populate regionally-applicable default values thereby minimizing keyboard entries. In an initial application, the model was used to assess greenhouse gas emissions from the Canadian beef production system; it showed that enteric methane accounted for 63% of total GHG emissions and that 84% of emissions originated from the cow-calf herd. The model further showed that GHG emission intensity per kg beef, nationally, declined by 14% from 1981 to 2011, owing to gains in production efficiency. Holos is now being used to consider further potential advances through improved rations or other management options. We are now aiming to expand into questions of grazing management, and are developing a novel carbon

  15. Application of Imprecise Decision Modeling for Regional Development Policies in Indonesia

    Directory of Open Access Journals (Sweden)

    Novita Erlinda

    2016-06-01

    Full Text Available Regional Development encompasses many aspect of economic, social, and environmental attributes. In the context of developing country, the decision to fulfill these attributes are often hindered by lack of clear development scenarios and constraints. This study is an attempt to capture the complexity of decision makers for regional development scenarios using imprecise decision modeling (IDM by incorporating imprecise information and uncertainties. A series of social, economic and environmental criteria based on agreement from multi stakeholders dialogues were developed along with four policy development scenarios. Results from such a modeling provides variety of decision alternatives based on probabilities and risk assessment associated with achieving policy objectives.

  16. Ethical Decision Making

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    2012-01-01

    by the inclusion of multiple stakeholders. The conceptualization of the model enhances business ethics in decision making by managing and balancing stakeholder concerns with the same concerns as the traditional risk management models does – for the sake of the wider social responsibilities of the businesses......Purpose: For the last three decades, Stakeholder management has been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models that can explain the complexities...... of the interaction between a corporation and its stakeholders. Methodology/approach: This paper offers a theoretical 'Organic Stakeholder Model' based on decision making theory, risk assessment and adaption to a rapidly changing world combined with appropriate stakeholder theory for ethical purposes in decision...

  17. Key stakeholders' perceptions of the acceptability and usefulness of a tablet-based tool to improve communication and shared decision making in ICUs.

    Science.gov (United States)

    Ernecoff, Natalie C; Witteman, Holly O; Chon, Kristen; Chen, Yanquan Iris; Buddadhumaruk, Praewpannarai; Chiarchiaro, Jared; Shotsberger, Kaitlin J; Shields, Anne-Marie; Myers, Brad A; Hough, Catherine L; Carson, Shannon S; Lo, Bernard; Matthay, Michael A; Anderson, Wendy G; Peterson, Michael W; Steingrub, Jay S; Arnold, Robert M; White, Douglas B

    2016-06-01

    Although barriers to shared decision making in intensive care units are well documented, there are currently no easily scaled interventions to overcome these problems. We sought to assess stakeholders' perceptions of the acceptability, usefulness, and design suggestions for a tablet-based tool to support communication and shared decision making in ICUs. We conducted in-depth semi-structured interviews with 58 key stakeholders (30 surrogates and 28 ICU care providers). Interviews explored stakeholders' perceptions about the acceptability of a tablet-based tool to support communication and shared decision making, including the usefulness of modules focused on orienting families to the ICU, educating them about the surrogate's role, completing a question prompt list, eliciting patient values, educating about treatment options, eliciting perceptions about prognosis, and providing psychosocial support resources. The interviewer also elicited stakeholders' design suggestions for such a tool. We used constant comparative methods to identify key themes that arose during the interviews. Overall, 95% (55/58) of participants perceived the proposed tool to be acceptable, with 98% (57/58) of interviewees finding six or more of the seven content domains acceptable. Stakeholders identified several potential benefits of the tool including that it would help families prepare for the surrogate role and for family meetings as well as give surrogates time and a framework to think about the patient's values and treatment options. Key design suggestions included: conceptualize the tool as a supplement to rather than a substitute for surrogate-clinician communication; make the tool flexible with respect to how, where, and when surrogates can access the tool; incorporate interactive exercises; use video and narration to minimize the cognitive load of the intervention; and build an extremely simple user interface to maximize usefulness for individuals with low computer literacy. There is

  18. Stakeholders' roles for business modelling in a city logistics ecosystem: Towards a conceptual model

    NARCIS (Netherlands)

    Ir. G. Zenezini; dr. J.H.R. van Duin; Ir. L. Tavasszy; Ir. A. De Marco

    2017-01-01

    A major challenge associated with the implementation of CL initiatives lies with their economic and financial long-term success. In this context, the business model concept can support assessing the business side of stakeholders’ decision-making processes as major determinants for such success. The

  19. Multi Stakeholders' Attitudes toward Bt rice in Southwest, Iran: Application of TPB and Multi Attribute Models.

    Science.gov (United States)

    Ghoochani, Omid M; Ghanian, Mansour; Baradaran, Masoud; Azadi, Hossein

    2017-03-01

    Organisms that have been genetically engineered and modified (GM) are referred to as genetically modified organisms (GMOs). Bt crops are plants that have been genetically modified to produce certain proteins from the soil bacteria Bacillus thuringiensis (Bt), which makes these plants resistant to certain lepidopteran and coleopteran species. Genetically Modified (GM) rice was produced in 2006 by Iranian researchers from Tarom Mowla'ii and has since been called 'Bt rice'. As rice is an important source of food for over 3 billion inhabitants on Earth, this study aims to use a correlational survey in order to shed light on the predicting factors relating to the extent of stakeholders' behavioral intentions towards Bt rice. It is assumed and the results confirm that "attitudes toward GM crops" can be used as a bridge in the Attitude Model and the Behavioral Intention Model in order to establish an integrated model. To this end, a case study was made of the Southwest part of Iran in order to verify this research model. This study also revealed that as a part of the integrated research framework in the Behavior Intention Model both constructs of attitude and the subjective norm of the respondents serve as the predicting factors of stakeholders' intentions of working with Bt rice. In addition, the Attitude Model, as the other part of the integrated research framework, showed that the stakeholders' attitudes toward Bt rice can only be determined by the perceived benefits (e.g. positive outcomes) of Bt rice.

  20. The role of stakeholders in Murray-Darling Basin water management: How do irrigators make water use decisions and how can this influence water policy?

    Science.gov (United States)

    Douglas, E. M.; Wheeler, S. A.; Smith, D. J.; Gray, S.; Overton, I. C.; Crossman, N. D.; Doody, T.

    2014-12-01

    Water stress and overallocation are at the forefront of water management and policy challenges in Australia, especially in the Murray Darling Basin (MDB). Farmland within the MDB generates 40 percent of Australia's total agricultural production and utilizes 60 percent of all irrigation water withdrawn nationally. The Murray Darling Basin Plan, drafted in 2008 and enacted in November 2012, has at its core the establishment of environmentally sustainable diversion limits based on a threshold of water extraction which, if exceeded, would cause harm to key environmental assets in the MDB. The overall goal of the Plan is to balance economic, social and environmental outcomes within the Basin. Because irrigated agriculture is the major water user in the MDB, it is important to understand the factors that influence irrigation water use. We applied a mental modeling approach to assessing farmer water use decisions. The approach allowed us to solicit and document farmer insights into the multifaceted nature of irrigation water use decisions in the MDB. Following are a few insights gained from the workshops: 1) For both environmental and economic reasons, irrigators in the MDB have become experts in water use and water efficiency. Water managers and government officials could benefit by partnering with farmers and incorporating this expertise into water management decisions. 2) Irrigators in the MDB may have been misperceived when it comes to accepting policy change. Many, if not most, of the farmers we talked to understood the need for, or at least the inevitability of, governmental policies and regulations. But a lack of accountability and predictability has added to the uncertainty in farming decisions. 3) Irrigators in the MDB subscribe to the concept of environmental sustainability, although they might not always agree with how the concept is implemented. Farmers should be recognized for their significant investments in the long-term sustainability of their farms and

  1. Decision modeling and acceptance criteria

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager

    2003-01-01

    formulation of decision criteria and public acceptance criteria connected to risk analysis of technical operations that may endanger human life and property. Public restrictions on the decisions concerning the design, construction and managing of the technical operation have in the past been imposed......, the owner that tries to optimize the net gain of the operation, and the public that has somewhat different preferences than the owner, but also strong interests in the success of the owner. The principles of rational decision are needed for appreciation of the problem. Recognizing that there is an insurance...

  2. Business Modeling to Implement an eHealth Portal for Infection Control: A Reflection on Co-Creation With Stakeholders.

    Science.gov (United States)

    van Limburg, Maarten; Wentzel, Jobke; Sanderman, Robbert; van Gemert-Pijnen, Lisette

    2015-08-13

    It is acknowledged that the success and uptake of eHealth improve with the involvement of users and stakeholders to make technology reflect their needs. Involving stakeholders in implementation research is thus a crucial element in developing eHealth technology. Business modeling is an approach to guide implementation research for eHealth. Stakeholders are involved in business modeling by identifying relevant stakeholders, conducting value co-creation dialogs, and co-creating a business model. Because implementation activities are often underestimated as a crucial step while developing eHealth, comprehensive and applicable approaches geared toward business modeling in eHealth are scarce. This paper demonstrates the potential of several stakeholder-oriented analysis methods and their practical application was demonstrated using Infectionmanager as an example case. In this paper, we aim to demonstrate how business modeling, with the focus on stakeholder involvement, is used to co-create an eHealth implementation. We divided business modeling in 4 main research steps. As part of stakeholder identification, we performed literature scans, expert recommendations, and snowball sampling (Step 1). For stakeholder analyzes, we performed "basic stakeholder analysis," stakeholder salience, and ranking/analytic hierarchy process (Step 2). For value co-creation dialogs, we performed a process analysis and stakeholder interviews based on the business model canvas (Step 3). Finally, for business model generation, we combined all findings into the business model canvas (Step 4). Based on the applied methods, we synthesized a step-by-step guide for business modeling with stakeholder-oriented analysis methods that we consider suitable for implementing eHealth. The step-by-step guide for business modeling with stakeholder involvement enables eHealth researchers to apply a systematic and multidisciplinary, co-creative approach for implementing eHealth. Business modeling becomes an

  3. Business Modeling to Implement an eHealth Portal for Infection Control: A Reflection on Co-Creation With Stakeholders

    Science.gov (United States)

    Wentzel, Jobke; Sanderman, Robbert; van Gemert-Pijnen, Lisette

    2015-01-01

    Background It is acknowledged that the success and uptake of eHealth improve with the involvement of users and stakeholders to make technology reflect their needs. Involving stakeholders in implementation research is thus a crucial element in developing eHealth technology. Business modeling is an approach to guide implementation research for eHealth. Stakeholders are involved in business modeling by identifying relevant stakeholders, conducting value co-creation dialogs, and co-creating a business model. Because implementation activities are often underestimated as a crucial step while developing eHealth, comprehensive and applicable approaches geared toward business modeling in eHealth are scarce. Objective This paper demonstrates the potential of several stakeholder-oriented analysis methods and their practical application was demonstrated using Infectionmanager as an example case. In this paper, we aim to demonstrate how business modeling, with the focus on stakeholder involvement, is used to co-create an eHealth implementation. Methods We divided business modeling in 4 main research steps. As part of stakeholder identification, we performed literature scans, expert recommendations, and snowball sampling (Step 1). For stakeholder analyzes, we performed “basic stakeholder analysis,” stakeholder salience, and ranking/analytic hierarchy process (Step 2). For value co-creation dialogs, we performed a process analysis and stakeholder interviews based on the business model canvas (Step 3). Finally, for business model generation, we combined all findings into the business model canvas (Step 4). Results Based on the applied methods, we synthesized a step-by-step guide for business modeling with stakeholder-oriented analysis methods that we consider suitable for implementing eHealth. Conclusions The step-by-step guide for business modeling with stakeholder involvement enables eHealth researchers to apply a systematic and multidisciplinary, co-creative approach for

  4. Shared Problem Models and Crew Decision Making

    Science.gov (United States)

    Orasanu, Judith; Statler, Irving C. (Technical Monitor)

    1994-01-01

    The importance of crew decision making to aviation safety has been well established through NTSB accident analyses: Crew judgment and decision making have been cited as causes or contributing factors in over half of all accidents in commercial air transport, general aviation, and military aviation. Yet the bulk of research on decision making has not proven helpful in improving the quality of decisions in the cockpit. One reason is that traditional analytic decision models are inappropriate to the dynamic complex nature of cockpit decision making and do not accurately describe what expert human decision makers do when they make decisions. A new model of dynamic naturalistic decision making is offered that may prove more useful for training or aiding cockpit decision making. Based on analyses of crew performance in full-mission simulation and National Transportation Safety Board accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation and reflect the crew's metacognitive skill. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking in response to a problem. This presentation will examine the relation between communication that serves to build performance. Implications of these findings for crew training will be discussed.

  5. Business Modeling to Implement an eHealth Portal for Infection Control: A Reflection on Co-Creation With Stakeholders

    NARCIS (Netherlands)

    van Limburg, A.H.M.; van Gemert-Pijnen, Julia E.W.C.

    2015-01-01

    Background: It is acknowledged that the success and uptake of eHealth improve with the involvement of users and stakeholders to make technology reflect their needs. Involving stakeholders in implementation research is thus a crucial element in developing eHealth technology. Business modeling is an

  6. The protective action decision model: theoretical modifications and additional evidence.

    Science.gov (United States)

    Lindell, Michael K; Perry, Ronald W

    2012-04-01

    The Protective Action Decision Model (PADM) is a multistage model that is based on findings from research on people's responses to environmental hazards and disasters. The PADM integrates the processing of information derived from social and environmental cues with messages that social sources transmit through communication channels to those at risk. The PADM identifies three critical predecision processes (reception, attention, and comprehension of warnings or exposure, attention, and interpretation of environmental/social cues)--that precede all further processing. The revised model identifies three core perceptions--threat perceptions, protective action perceptions, and stakeholder perceptions--that form the basis for decisions about how to respond to an imminent or long-term threat. The outcome of the protective action decision-making process, together with situational facilitators and impediments, produces a behavioral response. In addition to describing the revised model and the research on which it is based, this article describes three applications (development of risk communication programs, evacuation modeling, and adoption of long-term hazard adjustments) and identifies some of the research needed to address unresolved issues. © 2011 Society for Risk Analysis.

  7. A neural model of decision making

    OpenAIRE

    Larsen, Torben

    2008-01-01

    Background: A descriptive neuroeconomic model is aimed for relativity of the concept of economic man to empirical science.Method: A 4-level client-server-integrator model integrating the brain models of McLean and Luria is the general framework for the model of empirical findings.Results: Decision making relies on integration across brain levels of emotional intelligence (LU) and logico-matematico intelligence (RIA), respectively. The integrated decision making formula approaching zero by bot...

  8. A Fractional Supervision Game Model of Multiple Stakeholders and Numerical Simulation

    Directory of Open Access Journals (Sweden)

    Rongwu Lu

    2017-01-01

    Full Text Available Considering the popular use of a certain kind of supervision management problem in many fields, we firstly build an ordinary supervision game model of multiple stakeholders. Secondly, a fractional supervision game model is set up and solved based on the theory of fractional calculus and a predictor-corrector numerical approach. Thirdly, the methods of phase diagram and time series graph were applied to simulate and analyse the dynamic process of the fractional order game model. Results of numerical solutions are given to illustrate our conclusions and referred to the practice.

  9. Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments

    DEFF Research Database (Denmark)

    Jonsson, Anna Maria; Anderbrant, Olle; Holmer, Jennie

    2015-01-01

    In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused...... modelling with policy and strategies for sustainable management. In this paper we give a brief overview of different ecosystem modelling methods, discuss how to include ecological and management aspects, and highlight the importance of science–stakeholder communication. By this, we hope to stimulate...

  10. Safe models for risky decisions

    NARCIS (Netherlands)

    Steingröver, H.M.

    2017-01-01

    In everyday life, we often have to decide between options that differ in their immediate and long-term consequences. Would you, for example, opt for a delicious piece of cake or rather eat a healthy apple? To investigate how people make risky decisions, this thesis focuses on the Iowa gambling task

  11. Feasibility Risk Assessment of Transport Infrastructure Projects: The CBA-DK Decision Support Model

    DEFF Research Database (Denmark)

    Salling, Kim Bang; Banister, David

    2010-01-01

    This paper presents the final version of the CBA-DK decision support model for assessment of transport projects. The model makes use of conventional cost-benefit analysis resulting in aggregated single point estimates and quantitative risk analysis using Monte Carlo simulation resulting in interval...... result, and the determination of suitable probability distributions. Use is made of the reference class forecasting information, such as that developed in Optimism Bias for adjustments to investment decisions that relate to all modes of transport. The CBA-DK decision support model results in more...... informed decision support towards decision-makers and stakeholders in terms of accumulated descending graphs. The decision support method developed in this paper aims to provide assistance in the analysis and ultimately the choice of action, while accounting for the uncertainties surrounding any transport...

  12. Knowledge Co-production Strategies for Water Resources Modeling and Decision Making

    Science.gov (United States)

    Gober, P.

    2016-12-01

    The limited impact of scientific information on policy making and climate adaptation in North America has raised awareness of the need for new modeling strategies and knowledge transfer processes. This paper outlines the rationale for a new paradigm in water resources modeling and management, using examples from the USA and Canada. Principles include anticipatory modeling, complex system dynamics, decision making under uncertainty, visualization, capacity to represent and manipulate critical trade-offs, stakeholder engagement, local knowledge, context-specific activities, social learning, vulnerability analysis, iterative and collaborative modeling, and the concept of a boundary organization. In this framework, scientists and stakeholders are partners in the production and dissemination of knowledge for decision making, and local knowledge is fused with scientific observation and methodology. Discussion draws from experience in building long-term collaborative boundary organizations in Phoenix, Arizona in the USA and the Saskatchewan River Basin (SRB) in Canada. Examples of boundary spanning activities include the use of visualization, the concept of a decision theater, infrastructure to support social learning, social networks, and reciprocity, simulation modeling to explore "what if" scenarios of the future, surveys to elicit how water problems are framed by scientists and stakeholders, and humanistic activities (theatrical performances, art exhibitions, etc.) to draw attention to local water issues. The social processes surrounding model development and dissemination are at least as important as modeling assumptions, procedures, and results in determining whether scientific knowledge will be used effectively for water resources decision making.

  13. Agricultural climate impacts assessment for economic modeling and decision support

    Science.gov (United States)

    Thomson, A. M.; Izaurralde, R. C.; Beach, R.; Zhang, X.; Zhao, K.; Monier, E.

    2013-12-01

    A range of approaches can be used in the application of climate change projections to agricultural impacts assessment. Climate projections can be used directly to drive crop models, which in turn can be used to provide inputs for agricultural economic or integrated assessment models. These model applications, and the transfer of information between models, must be guided by the state of the science. But the methodology must also account for the specific needs of stakeholders and the intended use of model results beyond pure scientific inquiry, including meeting the requirements of agencies responsible for designing and assessing policies, programs, and regulations. Here we present methodology and results of two climate impacts studies that applied climate model projections from CMIP3 and from the EPA Climate Impacts and Risk Analysis (CIRA) project in a crop model (EPIC - Environmental Policy Indicator Climate) in order to generate estimates of changes in crop productivity for use in an agricultural economic model for the United States (FASOM - Forest and Agricultural Sector Optimization Model). The FASOM model is a forward-looking dynamic model of the US forest and agricultural sector used to assess market responses to changing productivity of alternative land uses. The first study, focused on climate change impacts on the UDSA crop insurance program, was designed to use available daily climate projections from the CMIP3 archive. The decision to focus on daily data for this application limited the climate model and time period selection significantly; however for the intended purpose of assessing impacts on crop insurance payments, consideration of extreme event frequency was critical for assessing periodic crop failures. In a second, coordinated impacts study designed to assess the relative difference in climate impacts under a no-mitigation policy and different future climate mitigation scenarios, the stakeholder specifically requested an assessment of a

  14. Decision modeling and acceptance criteria

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager

    2003-01-01

    compensation value of a human life and a public money equivalent of a human life, where the last value usually is considerably larger than the first value, it is possible from the decision analysis to determine an upper limit that the public should impose on the ratio of the owner´s expected loss rate......) that combines wealth in terms of Gross Domestic Product per person, life expectancy at birth, and yearly work time into a single number. The philosophy behind the published evaluations is that the prevention of a loss of a life is counteracted by a cost such that the LQI remains unchanged (Skjong R, Ronold K......; Decision Analysis; Life quality index; Random interest rate; Risk aversion; Socio-economic value; Uncertainty aversion...

  15. Modeling as a Decision-Making Process

    Science.gov (United States)

    Bleiler-Baxter, Sarah K.; Stephens, D. Christopher; Baxter, Wesley A.; Barlow, Angela T.

    2017-01-01

    The goal in this article is to support teachers in better understanding what it means to model with mathematics by focusing on three key decision-making processes: Simplification, Relationship Mapping, and Situation Analysis. The authors use the Theme Park task to help teachers develop a vision of how students engage in these three decision-making…

  16. The Anthropology of Science Education Reform: An Alabama Model for Building an Integrated Stakeholder Systems Approach

    Science.gov (United States)

    Denson, R. L.; Cox, G. N.

    2004-12-01

    Anthropologists are concerned with every aspect of the culture they are investigating. One of the five main branches of anthropology, socio-cultural anthropology, concerns itself with studying the relationship between behavior and culture. This paper explores the concept that changing the behavior of our culture - its beliefs and values - towards science is at the heart of science education reform. There are five institutions that socio-cultural anthropologists use to study the social organization of cultures: the educational system is only one of them. Its function - across all cultures - is to serve as a mechanism for implementing change in cultural beliefs and values. As leaders of science education reform, the Alabama model contends that we must stop the struggle with our purpose and get on with the business of leading culture change through an integrated stakeholder systems approach. This model stresses the need for the interaction of agencies other than education - including government, industry, the media and our health communities to operate in an integrated and systemic fashion to address the issues of living among a technically literate society. Twenty-five years of science education reform needs being voiced and programs being developed has not produced the desired results from within the educational system. This is too limited a focus to affect any real cultural change. It is when we acknowledge that students spend only an average of 12 percent of their life time in schools, that we can begin to ask ourselves what are our students learning the other 88 percent of their time - from their peers, their parents and the media - and what should we be doing to address this cultural crisis in these other arenas in addition to the educational system? The Alabama Math, Science and Technology Education Coalition (AMSTEC) is a non-profit 501c(3) organization operating in the state of Alabama to provide leadership in improving mathematics, science, and technology

  17. Optimal Decision Making in Neural Inhibition Models

    Science.gov (United States)

    van Ravenzwaaij, Don; van der Maas, Han L. J.; Wagenmakers, Eric-Jan

    2012-01-01

    In their influential "Psychological Review" article, Bogacz, Brown, Moehlis, Holmes, and Cohen (2006) discussed optimal decision making as accomplished by the drift diffusion model (DDM). The authors showed that neural inhibition models, such as the leaky competing accumulator model (LCA) and the feedforward inhibition model (FFI), can mimic the…

  18. Lessons Learned from Stakeholder-Driven Modeling in the Western Lake Erie Basin

    Science.gov (United States)

    Muenich, R. L.; Read, J.; Vaccaro, L.; Kalcic, M. M.; Scavia, D.

    2017-12-01

    Lake Erie's history includes a great environmental success story. Recognizing the impact of high phosphorus loads from point sources, the United States and Canada 1972 Great Lakes Water Quality Agreement set load reduction targets to reduce algae blooms and hypoxia. The Lake responded quickly to those reductions and it was declared a success. However, since the mid-1990s, Lake Erie's algal blooms and hypoxia have returned, and this time with a dominant algae species that produces toxins. Return of the algal blooms and hypoxia is again driven by phosphorus loads, but this time a major source is the agriculturally-dominated Maumee River watershed that covers NW Ohio, NE Indiana, and SE Michigan, and the hypoxic extent has been shown to be driven by Maumee River loads plus those from the bi-national and multiple land-use St. Clair - Detroit River system. Stakeholders in the Lake Erie watershed have a long history of engagement with environmental policy, including modeling and monitoring efforts. This talk will focus on the application of interdisciplinary, stakeholder-driven modeling efforts aimed at understanding the primary phosphorus sources and potential pathways to reduce these sources and the resulting algal blooms and hypoxia in Lake Erie. We will discuss the challenges, such as engaging users with different goals, benefits to modeling, such as improvements in modeling data, and new research questions emerging from these modeling efforts that are driven by end-user needs.

  19. Risk Communication Emergency Response Preparedness: Contextual Assessment of the Protective Action Decision Model.

    Science.gov (United States)

    Heath, Robert L; Lee, Jaesub; Palenchar, Michael J; Lemon, Laura L

    2018-02-01

    Studies are continuously performed to improve risk communication campaign designs to better prepare residents to act in the safest manner during an emergency. To that end, this article investigates the predictive ability of the protective action decision model (PADM), which links environmental and social cues, predecision processes (attention, exposure, and comprehension), and risk decision perceptions (threat, alternative protective actions, and stakeholder norms) with protective action decision making. This current quasi-longitudinal study of residents (N = 400 for each year) in a high-risk (chemical release) petrochemical manufacturing community investigated whether PADM core risk perceptions predict protective action decision making. Telephone survey data collected at four intervals (1995, 1998, 2002, 2012) reveal that perceptions of protective actions and stakeholder norms, but not of threat, currently predict protective action decision making (intention to shelter in place). Of significance, rather than threat perceptions, perception of Wally Wise Guy (a spokes-character who advocates shelter in place) correlates with perceptions of protective action, stakeholder norms, and protective action decision making. Wally's response-efficacy advice predicts residents' behavioral intentions to shelter in place, thereby offering contextually sensitive support and refinement for PADM. © 2017 Society for Risk Analysis.

  20. Impacts of Irrigation and Climate Change on Water Security: Using Stakeholder Engagement to Inform a Process-based Crop Model

    Science.gov (United States)

    Leonard, A.; Flores, A. N.; Han, B.; Som Castellano, R.; Steimke, A.

    2016-12-01

    Irrigation is an essential component for agricultural production in arid and semi-arid regions, accounting for a majority of global freshwater withdrawals used for human consumption. Since climate change affects both the spatiotemporal demand and availability of water in irrigated areas, agricultural productivity and water efficiency depend critically on how producers adapt and respond to climate change. It is necessary, therefore, to understand the coevolution and feedbacks between humans and agricultural systems. Integration of social and hydrologic processes can be achieved by active engagement with local stakeholders and applying their expertise to models of coupled human-environment systems. Here, we use a process based crop simulation model (EPIC) informed by stakeholder engagement to determine how both farm management and climate change influence regional agricultural water use and production in the Lower Boise River Basin (LBRB) of southwest Idaho. Specifically, we investigate how a shift from flood to sprinkler fed irrigation would impact a watershed's overall agricultural water use under RCP 4.5 and RCP 8.5 climate scenarios. The LBRB comprises about 3500 km2, of which 20% is dedicated to irrigated crops and another 40% to grass/pasture grazing land. Via interviews of stakeholders in the LBRB, we have determined that approximately 70% of irrigated lands in the region are flood irrigated. We model four common crops produced in the LBRB (alfalfa, corn, winter wheat, and sugarbeets) to investigate both hydrologic and agricultural impacts of irrigation and climatic drivers. Factors influencing farmers' decision to switch from flood to sprinkler irrigation include potential economic benefits, external financial incentives, and providing a buffer against future water shortages. These two irrigation practices are associated with significantly different surface water and energy budgets, and large-scale shifts in practice could substantially impact regional

  1. Computer modeling of human decision making

    Science.gov (United States)

    Gevarter, William B.

    1991-01-01

    Models of human decision making are reviewed. Models which treat just the cognitive aspects of human behavior are included as well as models which include motivation. Both models which have associated computer programs, and those that do not, are considered. Since flow diagrams, that assist in constructing computer simulation of such models, were not generally available, such diagrams were constructed and are presented. The result provides a rich source of information, which can aid in construction of more realistic future simulations of human decision making.

  2. Introduction to Modeling of Buying Decisions

    Directory of Open Access Journals (Sweden)

    O. Gruenwald

    2011-01-01

    Full Text Available Buying decision models of customers to adjust the competitiveness of organizations have been a challenge for marketing disciplines for several generations. This topic has been explored by researchers and academics in past years, and quite an extensive theoretical base exists with a number of approaches for dealing with this challenge.This paper presents some approaches for creating a customer decision model, and provides experimental results from an electronic investigation intended to build the Kano Model; to prove an ability to understand the modeling principle; and to find out the interpretation of the examined demand in a specific market segment involving students of a technical university. The last section of the paper contains a brief introduction to Choice-Based Modeling with Choice-Based Conjoint Analysis (CBC, which was tailored for modeling purchasing decisions.

  3. Optimal decision making in neural inhibition models

    NARCIS (Netherlands)

    van Ravenzwaaij, D.; van der Maas, H.L.J.; Wagenmakers, E.-J.

    2012-01-01

    In their influential Psychological Review article, Bogacz, Brown, Moehlis, Holmes, and Cohen (2006) discussed optimal decision making as accomplished by the drift diffusion model (DDM). The authors showed that neural inhibition models, such as the leaky competing accumulator model (LCA) and the

  4. Comprehensive decision tree models in bioinformatics.

    Science.gov (United States)

    Stiglic, Gregor; Kocbek, Simon; Pernek, Igor; Kokol, Peter

    2012-01-01

    Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model are possible. This paper presents an extension to an existing machine learning environment and a study on visual tuning of decision tree classifiers. The motivation for this research comes from the need to build effective and easily interpretable decision tree models by so called one-button data mining approach where no parameter tuning is needed. To avoid bias in classification, no classification performance measure is used during the tuning of the model that is constrained exclusively by the dimensions of the produced decision tree. The proposed visual tuning of decision trees was evaluated on 40 datasets containing classical machine learning problems and 31 datasets from the field of bioinformatics. Although we did not expected significant differences in classification performance, the results demonstrate a significant increase of accuracy in less complex visually tuned decision trees. In contrast to classical machine learning benchmarking datasets, we observe higher accuracy gains in bioinformatics datasets. Additionally, a user study was carried out to confirm the assumption that the tree tuning times are significantly lower for the proposed method in comparison to manual tuning of the decision tree. The empirical results demonstrate that by building simple models constrained by predefined visual boundaries, one not only achieves good comprehensibility, but also very good classification performance that does not differ from usually more complex models built using default settings of the classical decision tree algorithm. In addition, our study demonstrates the suitability of visually tuned decision trees for datasets with binary class attributes and a high number of possibly

  5. Comprehensive decision tree models in bioinformatics.

    Directory of Open Access Journals (Sweden)

    Gregor Stiglic

    Full Text Available PURPOSE: Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model are possible. METHODS: This paper presents an extension to an existing machine learning environment and a study on visual tuning of decision tree classifiers. The motivation for this research comes from the need to build effective and easily interpretable decision tree models by so called one-button data mining approach where no parameter tuning is needed. To avoid bias in classification, no classification performance measure is used during the tuning of the model that is constrained exclusively by the dimensions of the produced decision tree. RESULTS: The proposed visual tuning of decision trees was evaluated on 40 datasets containing classical machine learning problems and 31 datasets from the field of bioinformatics. Although we did not expected significant differences in classification performance, the results demonstrate a significant increase of accuracy in less complex visually tuned decision trees. In contrast to classical machine learning benchmarking datasets, we observe higher accuracy gains in bioinformatics datasets. Additionally, a user study was carried out to confirm the assumption that the tree tuning times are significantly lower for the proposed method in comparison to manual tuning of the decision tree. CONCLUSIONS: The empirical results demonstrate that by building simple models constrained by predefined visual boundaries, one not only achieves good comprehensibility, but also very good classification performance that does not differ from usually more complex models built using default settings of the classical decision tree algorithm. In addition, our study demonstrates the suitability of visually tuned decision trees for datasets

  6. Multi Stakeholders Governance Body Model In Achieving the Excellence Public Policy

    Directory of Open Access Journals (Sweden)

    Novita Tresiana

    2016-12-01

    Full Text Available This study aims to: 1 analyze the reasons of failure of village government in producing a superior policy; 2 analyze the existing institutions in the community, as the realization of the carrying capacity of a superior policy; and 3 develop a model of institutional strengthening to achieve the excellence of public policy. This study uses a qualitative approach with description methods. The data used is the primary and secondary data. Secondary data were  obtained  from the local government in the form of the relevant documentation. The primary data obtained from interviews, observation, focus group discussions. The data collected are analyzed qualitative descriptive. The research location is in Lampung, Province of South Lampung, 9 in villages. The results show that the failure of development due to the institutional model of village planning meetings is bureaucratic, formalism and the measurement focuses on the process instead of the result. There are no institutional supporting communities and the village planning meetings do not involve stakeholders. Required solutions are in the form of representative models of institutional strengthening, get to know to the community residents through a deliberative forum with a multi- stakeholders.

  7. A Model for Stakeholders' Influence on Internationalization: A Contribution from the Portuguese, Brazilian, and Dutch Cases

    Science.gov (United States)

    Castro, Rita; Rosa, Maria João; Pinho, Carlos

    2015-01-01

    This article aims to discuss stakeholders' influence on higher education institutions' (HEIs) internationalization, through an analysis of the relationships established between stakeholders' importance and the institutions' rationales for internationalization, the strategies developed for internationalization, and the benefits from…

  8. How can health care organisations make and justify decisions about risk reduction? Lessons from a cross-industry review and a health care stakeholder consensus development process

    International Nuclear Information System (INIS)

    Sujan, Mark A.; Habli, Ibrahim; Kelly, Tim P.; Gühnemann, Astrid; Pozzi, Simone; Johnson, Christopher W.

    2017-01-01

    Interventions to reduce risk often have an associated cost. In UK industries decisions about risk reduction are made and justified within a shared regulatory framework that requires that risk be reduced as low as reasonably practicable. In health care no such regulatory framework exists, and the practice of making decisions about risk reduction is varied and lacks transparency. Can health care organisations learn from relevant industry experiences about making and justifying risk reduction decisions? This paper presents lessons from a qualitative study undertaken with 21 participants from five industries about how such decisions are made and justified in UK industry. Recommendations were developed based on a consensus development exercise undertaken with 20 health care stakeholders. The paper argues that there is a need in health care to develop a regulatory framework and an agreed process for managing explicitly the trade-off between risk reduction and cost. The framework should include guidance about a health care specific notion of acceptable levels of risk, guidance about standardised risk reduction interventions, it should include regulatory incentives for health care organisations to reduce risk, and it should encourage the adoption of an approach for documenting explicitly an organisation's risk position. - Highlights: • Empirical description of industry perceptions on making risk reduction decisions. • Health care consensus development identified five recommendations. • Risk concept should be better integrated into safety management. • Education and awareness about risk concept are required. • Health systems need to start a dialogue about acceptable levels of risk.

  9. Stakeholder views of management and decision support tools to integrate climate change into Great Lakes Lake Whitefish management

    Science.gov (United States)

    Lynch, Abigail J.; Taylor, William W.; McCright, Aaron M.

    2016-01-01

    Decision support tools can aid decision making by systematically incorporating information, accounting for uncertainties, and facilitating evaluation between alternatives. Without user buy-in, however, decision support tools can fail to influence decision-making processes. We surveyed fishery researchers, managers, and fishers affiliated with the Lake Whitefish Coregonus clupeaformis fishery in the 1836 Treaty Waters of Lakes Huron, Michigan, and Superior to assess opinions of current and future management needs to identify barriers to, and opportunities for, developing a decision support tool based on Lake Whitefish recruitment projections with climate change. Approximately 64% of 39 respondents were satisfied with current management, and nearly 85% agreed that science was well integrated into management programs. Though decision support tools can facilitate science integration into management, respondents suggest that they face significant implementation barriers, including lack of political will to change management and perceived uncertainty in decision support outputs. Recommendations from this survey can inform development of decision support tools for fishery management in the Great Lakes and other regions.

  10. Multicriteria decision model for retrofitting existing buildings

    Science.gov (United States)

    Bostenaru Dan, B.

    2003-04-01

    In this paper a model to decide which buildings from an urban area should be retrofitted is presented. The model has been cast into existing ones by choosing the decision rule, criterion weighting and decision support system types most suitable for the spatial problem of reducing earthquake risk in urban areas, considering existing spatial multiatributive and multiobjective decision methods and especially collaborative issues. Due to the participative character of the group decision problem "retrofitting existing buildings" the decision making model is based on interactivity. Buildings have been modeled following the criteria of spatial decision support systems. This includes identifying the corresponding spatial elements of buildings according to the information needs of actors from different sphaeres like architects, construction engineers and economists. The decision model aims to facilitate collaboration between this actors. The way of setting priorities interactivelly will be shown, by detailing the two phases: judgemental and computational, in this case site analysis, collection and evaluation of the unmodified data and converting survey data to information with computational methods using additional expert support. Buildings have been divided into spatial elements which are characteristic for the survey, present typical damages in case of an earthquake and are decisive for a better seismic behaviour in case of retrofitting. The paper describes the architectural and engineering characteristics as well as the structural damage for constuctions of different building ages on the example of building types in Bucharest, Romania in compressible and interdependent charts, based on field observation, reports from the 1977 earthquake and detailed studies made by the author together with a local engineer for the EERI Web Housing Encyclopedia. On this base criteria for setting priorities flow into the expert information contained in the system.

  11. A community participatory model of mobile dental service-survey among stakeholders

    Directory of Open Access Journals (Sweden)

    Biney Anne Thomas

    2015-01-01

    Full Text Available Background: The mobile dental service (MDS at Ludhiana is a unique model of oral health care delivery which enables rural communities to develop their own creative system through partnerships, for ensuring consistent oral health care delivery in the underserved areas. Objectives: The objective of this study was to assess the satisfaction among the stakeholders participating in the MDS program of a premier Dental College in Ludhiana. Methodology: A cross-sectional survey was conducted in 12 villages of Ludhiana district in Punjab where the MDSs were being provided. Four hundred and fifty patients, 50 organizers and 40 service providers were interviewed separately with pretested questionnaires. Results: About 98.4% of the patients were completely satisfied with the overall care provided. 71.1% of the patients felt there was increased times in services and 76.7% felt that there was inadequate referral network. Most patients were satisfied with the communication skills of the doctors. 57.5% of the organizers felt that the overall care provided in the MDSs was consistently good and high quality in spite of challenging infrastructure. 100% of the health care providers felt that working in the MDS was a good learning experience in spite of the heavy workload and infrastructure challenges. Conclusion: The study reveals that the MDS is a satisfactory mode of dental care delivery for all the stakeholders involved. Despite the challenges, this partnership program can be nurtured as a successful model of oral health care delivery in underserved areas.

  12. Marketing data, models and decisions

    NARCIS (Netherlands)

    Wedel, M; Kamakura, W; Bockenholt, U

    Our comments about the paper by Leeflang and Wittink [Internat. J. Res. Marketing, 17 (2000) 105] comprise of two components: first, we address two issues on which we disagree with Leeflang and Wittink: soft versus hard data, and individual-level versus segment-level models. Secondly, we supplement

  13. Risk Decision Making Based on Decision-theoretic Rough Set: A Three-way View Decision Model

    OpenAIRE

    Huaxiong Li; Xianzhong Zhou

    2011-01-01

    Rough set theory has witnessed great success in data mining and knowledge discovery, which provides a good support for decision making on a certain data. However, a practical decision problem always shows diversity under the same circumstance according to different personality of the decision makers. A simplex decision model can not provide a full description on such diverse decisions. In this article, a review of Pawlak rough set models and probabilistic rough set models is presented, and a ...

  14. Collaborative learning framework for online stakeholder engagement.

    Science.gov (United States)

    Khodyakov, Dmitry; Savitsky, Terrance D; Dalal, Siddhartha

    2016-08-01

    Public and stakeholder engagement can improve the quality of both research and policy decision making. However, such engagement poses significant methodological challenges in terms of collecting and analysing input from large, diverse groups. To explain how online approaches can facilitate iterative stakeholder engagement, to describe how input from large and diverse stakeholder groups can be analysed and to propose a collaborative learning framework (CLF) to interpret stakeholder engagement results. We use 'A National Conversation on Reducing the Burden of Suicide in the United States' as a case study of online stakeholder engagement and employ a Bayesian data modelling approach to develop a CLF. Our data modelling results identified six distinct stakeholder clusters that varied in the degree of individual articulation and group agreement and exhibited one of the three learning styles: learning towards consensus, learning by contrast and groupthink. Learning by contrast was the most common, or dominant, learning style in this study. Study results were used to develop a CLF, which helps explore multitude of stakeholder perspectives; identifies clusters of participants with similar shifts in beliefs; offers an empirically derived indicator of engagement quality; and helps determine the dominant learning style. The ability to detect learning by contrast helps illustrate differences in stakeholder perspectives, which may help policymakers, including Patient-Centered Outcomes Research Institute, make better decisions by soliciting and incorporating input from patients, caregivers, health-care providers and researchers. Study results have important implications for soliciting and incorporating input from stakeholders with different interests and perspectives. © 2015 The Authors. Health Expectations Published by John Wiley & Sons Ltd.

  15. Combining Bayesian Networks and Agent Based Modeling to develop a decision-support model in Vietnam

    Science.gov (United States)

    Nong, Bao Anh; Ertsen, Maurits; Schoups, Gerrit

    2016-04-01

    Complexity and uncertainty in natural resources management have been focus themes in recent years. Within these debates, with the aim to define an approach feasible for water management practice, we are developing an integrated conceptual modeling framework for simulating decision-making processes of citizens, in our case in the Day river area, Vietnam. The model combines Bayesian Networks (BNs) and Agent-Based Modeling (ABM). BNs are able to combine both qualitative data from consultants / experts / stakeholders, and quantitative data from observations on different phenomena or outcomes from other models. Further strengths of BNs are that the relationship between variables in the system is presented in a graphical interface, and that components of uncertainty are explicitly related to their probabilistic dependencies. A disadvantage is that BNs cannot easily identify the feedback of agents in the system once changes appear. Hence, ABM was adopted to represent the reaction among stakeholders under changes. The modeling framework is developed as an attempt to gain better understanding about citizen's behavior and factors influencing their decisions in order to reduce uncertainty in the implementation of water management policy.

  16. Percepción, activos intangibles y stakeholders: modelo para el análisis de imagen corporativa Perception, intangible assets and stakeholders: model for the analysis of corporate image

    Directory of Open Access Journals (Sweden)

    Gabriela Estefanía Pasquel Racines

    2016-01-01

    Full Text Available El presente artículo abordará aproximaciones para la gestión de la imagen corporativa; pensada como un activo intangible que proyecta la institución. Además, se consideran diversos modelos y conceptos de capital intelectual que identifican factores relevantes hacia la toma decisión por parte de stakeholders. La percepción de imagen es un tema que ha suscitado interés por parte de instituciones, pues ésta se encuentra estrechamente vinculada a la formación integral de una idea que influye en el desarrollo de una actitud favorable o no hacia la reputación corporativa. De esta manera, los clientes, consumidores, proveedores, colaboradores, entre otros; reciben a través de distintas formas elementos que le ayudan a conformar una idea sobre la institución mediante sus percepciones; por lo que, orientar los esfuerzos y acciones en torno a este intangible, dará como resultado una rentabilidad no sólo monetaria sino una fidelidad y confianza por parte de sus stakeholders Es así, que se ha visto la necesidad de proponer un modelo para el análisis de la imagen corporativa de instituciones, el mismo que consta de cinco categorías las cuales poseen parámetros de puntuación, construidos a partir de los aportes de diferentes autores. This article will discuss approaches to the management of the corporate image; designed as an intangible asset that projects the institution. In addition, they are considered different models and concepts of intellectual capital that identify relevant factors into decision making by stakeholders. Image perception is an issue that has sparked interest from institutions, as this is closely linked to the integral formation of an idea that influences the development of a favorable or unfavorable attitude toward the corporate reputation. In this way, customers, consumers, suppliers, employees and others; they received through various forms elements that help you form an idea of the institution through their

  17. Using agent-based model to simulate stakeholder balance model of tourism intangible cultural heritage

    OpenAIRE

    Shi, M; Zhu, W; Yang, H; Li, C

    2016-01-01

    Intangible cultural heritage, as one of the important cultural resources, is currently one of the most popular points for social scientific researchers. However, the intrinsic relationships between stakeholders related to tourism intangible cultural heritage including government, inheritors, enterprises, experts and tourists is hard to determine through social scientific approaches, especially, when we need to understand dynamic behavior. In this paper, we firstly use Breeze/ADL (Architecture...

  18. Stakeholder engagement in quattro helix model for mobile phone reverse logistics in Indonesia: a conceptual framework

    Science.gov (United States)

    Maheswari, H.; Yudoko, G.; Adhiutama, A.

    2017-12-01

    The number of e-waste from mobile phone industry is still dominating until now. This is happened because there is no mutual commitment from all of parties i.e. businesses, government, and societies to reduce the use of mobile phone that has the shortest product life cycle. There are many researches study about firms’ motivation and government’s role, other discuss about actions of communities in supporting reverse logistics implementation. Unfortunately, research about engagement mechanism that involving all parties is still rare. Therefore, it is important to find the engagement model through this conceptual paper and it is expected useful to build the novel model. Through literature review, the results of this research are establishing the Quattro helix model as the appropriate structure to build the robust team by exploring stakeholder theories; mapping the engagement model either in form of collaboration or participation that consider stakeholders’ role and motivation and finding six types of engagement that consider their interest; and determining the novel model of engagement through Quattro helix model for implementing reverse logistics in handling e-waste by describing the linkage and the gaps among existing model.

  19. Appropriate models in decision support systems for river basin management

    NARCIS (Netherlands)

    Xu, YuePing; Booij, Martijn J.; Morell, M.; Todorovik, O.; Dimitrov, D.; Selenica, A.; Spirkovski, Z.

    2004-01-01

    In recent years, new ideas and techniques appear very quickly, like sustainability, adaptive management, Geographic Information System, Remote Sensing and participations of new stakeholders, which contribute a lot to the development of decision support systems in river basin management. However, the

  20. Decision support models for solid waste management: Review and game-theoretic approaches

    Energy Technology Data Exchange (ETDEWEB)

    Karmperis, Athanasios C., E-mail: athkarmp@mail.ntua.gr [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece); Army Corps of Engineers, Hellenic Army General Staff, Ministry of Defence (Greece); Aravossis, Konstantinos; Tatsiopoulos, Ilias P.; Sotirchos, Anastasios [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece)

    2013-05-15

    Highlights: ► The mainly used decision support frameworks for solid waste management are reviewed. ► The LCA, CBA and MCDM models are presented and their strengths, weaknesses, similarities and possible combinations are analyzed. ► The game-theoretic approach in a solid waste management context is presented. ► The waste management bargaining game is introduced as a specific decision support framework. ► Cooperative and non-cooperative game-theoretic approaches to decision support for solid waste management are discussed. - Abstract: This paper surveys decision support models that are commonly used in the solid waste management area. Most models are mainly developed within three decision support frameworks, which are the life-cycle assessment, the cost–benefit analysis and the multi-criteria decision-making. These frameworks are reviewed and their strengths and weaknesses as well as their critical issues are analyzed, while their possible combinations and extensions are also discussed. Furthermore, the paper presents how cooperative and non-cooperative game-theoretic approaches can be used for the purpose of modeling and analyzing decision-making in situations with multiple stakeholders. Specifically, since a waste management model is sustainable when considering not only environmental and economic but also social aspects, the waste management bargaining game is introduced as a specific decision support framework in which future models can be developed.

  1. Managing stakeholder involvement in decision-making : A comparative analysis of six interactive processes in The Netherlands

    NARCIS (Netherlands)

    J. Edelenbos (Jurian); E-H. Klijn (Erik-Hans)

    2006-01-01

    textabstractInitiatives to encourage and stimulate the involvement of citizens but also various societal organisations in decision-making can be seen in a wide variety of European countries. Citizens panels, citizens charters, new forms of participation and other forms are being used to increase the

  2. Using interactive modeling tools to engage with, inform and empower decision making in local communities of landscape managers

    DEFF Research Database (Denmark)

    Christensen, Andreas Aagaard

    are now to an increasing extent used outside academic offices by consultants and officials engaged in direct dialogue or debate with local stakeholders. Models are entering the decision making space of local communities, challenging and informing local experience and expertise regarding the short......During the last decade digital modelling tools for environmental impact assessment have become increasingly interactive, agile and user-oriented. This has made it possible to implement models in situ, using them in live scenario situations with local stakeholders. As a result modelling tools...

  3. Stakeholder management from the business perspective

    Directory of Open Access Journals (Sweden)

    Krstić Nataša

    2014-01-01

    Full Text Available In an increasingly global and highly competitive business world of today, the business sector pays meticulous attention to stakeholders - groups or individuals, which affect or are affected by business decisions. The paper examines the methodology of identifying key stakeholders, demonstrates the process of their various mapping models, as well as the manner in which stakeholders, in cooperation with a corporation, create the opportunity to be engaged at an early stage of a project, activity or business decision, thus establishing a precedent according to which both sides benefit. By doing so, the business sector can ensure that its actions will receive 'a social licence to operate', whereas various groups of stakeholders will be offered a possibility to be included in business dealings for the sake of protecting their interests. The authors of the paper have analysed a two-way process of stakeholder management in establishing corporate reputation which is reflected in business performance and results. It was concluded that stakeholder engagement should foster innovation and lead to broader social prosperity, achieving the main goal of sustainability: business excellence according to the principles of the triple final result, by realizing synergy between the social community, environment and profit.

  4. Modeling Choice and Valuation in Decision Experiments

    Science.gov (United States)

    Loomes, Graham

    2010-01-01

    This article develops a parsimonious descriptive model of individual choice and valuation in the kinds of experiments that constitute a substantial part of the literature relating to decision making under risk and uncertainty. It suggests that many of the best known "regularities" observed in those experiments may arise from a tendency for…

  5. Final disposal of spent nuclear fuels - regulations and the roles of different stakeholders during the decision making process

    International Nuclear Information System (INIS)

    2007-05-01

    In November 2006 Swedish Nuclear Fuels Co. applied for a license to build a plant for encapsulation of spent nuclear fuels at Oskarshamn, Sweden. The company also have plans to apply, in 2009, for a license to construct a underground repository for spent nuclear fuels. KASAM arranged a seminar in November 2006 in order to describe and discuss the licensing rules and regulations and the roles of different parties in the decision making. Another objective of the seminar was to point out possible ambiguities in this process. Another interesting question under discussion was in what ways the basic data for the decision should be produced. The seminar covered the part of the process beginning with the application for a license and ending with the government approval/rejection of the application. Most time was spent on the legal aspects of the process

  6. Attribute Development Using Continuous Stakeholder Engagement to Prioritize Treatment Decisions: A Framework for Patient-Centered Research.

    Science.gov (United States)

    dosReis, Susan; Castillo, Wendy Camelo; Ross, Melissa; Fitz-Randolph, Marcy; Vaughn-Lee, Angela; Butler, Beverly

    To develop a methodological approach for selecting, validating, and prioritizing attributes for health care decision making. Participants (n = 48) were recruited from community support groups if they had a child aged 26 years or younger diagnosed with a coexisting mental health condition and cognitive impairment. Six in-depth interviews eliciting care management experiences were transcribed and coded into themes following the principles of grounded theory and the constant comparative method. Six focus groups involving 42 participants assessed the relevance, priority, and meaning and inter-relationship among the themes. The positive predictive value and sensitivity assessed agreement on thematic meaning. A final list was selected from the top priorities with good agreement as candidate attributes. Attribute levels reflecting the range of experiences in care management decisions emerged from the verbatim passages within each coded theme. Participants were the child's mother (73%), white (77%), married (69%), and on average 48 years old. The children were on average 14 years old; 44% had an intellectual disability, 25% had autism, and more than half had anxiety or attention-deficit/hyperactivity disorder. All 14 attributes identified from the in-depth interviews were deemed relevant. The positive predictive value exceeded 90%, and the sensitivity ranged from 64% to 89%. The final set of attributes formed the framework for care management decisions consisting of six attributes (medication, behavior, services, social, treatment effects, and school) each with three levels. A systematic approach grounded in qualitative methods produced a framework of relevant, important, and actionable attributes representing competing alternatives in clinical decisions. Copyright © 2016. Published by Elsevier Inc.

  7. An Analysis of the Stakeholder Model of Public Boards and the Case of School Governing Bodies in England and Wales

    Science.gov (United States)

    Connolly, Michael; Farrell, Catherine; James, Christopher

    2017-01-01

    This article analyses the stakeholder model of boards that is widely used in public and third sector institutions in England and Wales. The central tenet of this model is that such institutions should be strategically led by individuals who are representative of and from the groups that have an interest in them. The article focuses in particular…

  8. Modeling reproductive decisions with simple heuristics

    Directory of Open Access Journals (Sweden)

    Peter Todd

    2013-10-01

    Full Text Available BACKGROUND Many of the reproductive decisions that humans make happen without much planning or forethought, arising instead through the use of simple choice rules or heuristics that involve relatively little information and processing. Nonetheless, these heuristic-guided decisions are typically beneficial, owing to humans' ecological rationality - the evolved fit between our constrained decision mechanisms and the adaptive problems we face. OBJECTIVE This paper reviews research on the ecological rationality of human decision making in the domain of reproduction, showing how fertility-related decisions are commonly made using various simple heuristics matched to the structure of the environment in which they are applied, rather than being made with information-hungry mechanisms based on optimization or rational economic choice. METHODS First, heuristics for sequential mate search are covered; these heuristics determine when to stop the process of mate search by deciding that a good-enough mate who is also mutually interested has been found, using a process of aspiration-level setting and assessing. These models are tested via computer simulation and comparison to demographic age-at-first-marriage data. Next, a heuristic process of feature-based mate comparison and choice is discussed, in which mate choices are determined by a simple process of feature-matching with relaxing standards over time. Parental investment heuristics used to divide resources among offspring are summarized. Finally, methods for testing the use of such mate choice heuristics in a specific population over time are then described.

  9. The influence of interdisciplinary collaboration on decision making: a framework to analyse stakeholder coalitions, evolution and learning in strategic delta planning

    Science.gov (United States)

    Vermoolen, Myrthe; Hermans, Leon

    2015-04-01

    The sustained development of urbanizing deltas requires that conflicting interests are reconciled, in an environment characterized by technical complexity and knowledge limitations. However, integrating ideas and establishing cooperation between actors with different backgrounds and roles still proves a challenge. Agreeing on strategic choices is difficult and implementation of agreed plans may lead to unanticipated and unintended outcomes. How can individual disciplinary perspectives come together and establish a broadly-supported and well-informed plan, the implementation of which contributes to sustainable delta development? The growing recognition of this need to bring together different stakeholders and different disciplinary perspectives runs parallel to a paradigm shift from 'hard' hydrological engineering to multi-functional and more 'soft' hydrological engineering in water management. As a result, there is now more attention for interdisciplinary collaboration that not only takes the physical characteristics of water systems into account, but also the interaction between physical and societal components of these systems. Thus, it is important to study interdisciplinary collaboration and how this influences decision-making. Our research looks into this connection, using a case in delta planning in the Netherlands, where there have been several (attempts for) integration of spatial planning and flood risk/ water management, e.g. in the case of the Dutch Delta Programme. This means that spatial designers and their designs play an important role in the strategic delta planning process as well, next to civil engineers, etc. This study explores the roles of stakeholders, experts and policy makers in interdisciplinary decision-making in dynamic delta planning processes, using theories and methods that focus on coalitions, learning and changes over time in policy and planning processes. This requires an expansion of the existing frameworks to study

  10. The Integrated Crisis Management Model for the Hotel Industry: Lowering Crisis Susceptibility and Strengthening Stakeholder Relationship Management

    Directory of Open Access Journals (Sweden)

    Nicola ZECH

    2016-03-01

    Full Text Available This research paper focuses on crisis management processes within the hotel industry – an industry which still seems reluctant in implementing profound and structured crisis management concepts. Responses to crisis situations are mostly intuitive and ad-hoc. In times of high competition in almost all destinations, categories and conceptions no opportunity of convincing guests as well as all other stakeholders of a trustworthy management shall be missed in order to gain competitive advantage. Each corporate crisis affects several or all stakeholder groups of the organisation – to a varying extent. Stakeholders might either affect or be affected by the hotel organisation and the respective crisis management processes. Taking the manifold opportunities for co-operation of a hotel organisation and its respective stakeholder groups into consideration, an integrated crisis management model for the hotel industry is evolved based both on theoretical foundations and empirical findings from the analysis of expert interviews as well as stakeholder surveys. The model neutralizes the deficits and discrepancies revealed between general crisis management literature and status quo respectively specific prerequisites for the hotel industry.

  11. Civil aviation management during explosive volcanic eruptions: A survey on the stakeholders' perspective on the use of tephra dispersal models

    Science.gov (United States)

    Scaini, Chiara; Bolić, Tatjana; Folch, Arnau; Castelli, Lorenzo

    2015-03-01

    Impacts of explosive volcanic eruptions on civil aviation were reconsidered after the 2010 Eyjafjallajökull eruption in Iceland, which caused unprecedented disruptions of air traffic operations in Europe. During and after the aviation breakdown of April-May 2010, communication between the involved stakeholders was recognized as a major concern. Due to the complexity and multidisciplinary nature of the topic, a great number of actors are involved, which often have little interaction outside these exceptional events. In this work, we aim at identifying the relationships between the stakeholders involved in aviation management during eruptions, as well as their needs and priorities. We perform an anonymous on-line survey, focused mainly on the use of tephra dispersal models for civil aviation purposes. We collect feedback on recent developments including our current impact assessment research, which produced a GIS-based software tool to estimate impacts on aviation based on tephra dispersal forecasts. Answers allow identifying stakeholders' requirements on ash dispersal forecasts and their use for aviation management purposes. We underline the main differences between three homogeneous groups (aviation managers and employees, modellers and field scientists, other stakeholders) and identify main end-user requirements for developing tools similar to ours. This work provides useful insights for the development of tools to support aviation stakeholders during volcanic eruptions.

  12. Partnerships and Opportunity: A Canadian Success Story Community engagement on uranium mining in northern Saskatchewan. Informing and Involving Stakeholders in the Context of the Finnish Decision-making Process. Stakeholder involvement and public debate

    International Nuclear Information System (INIS)

    Katz, Sharonne; Vanhatalo, Hanna; Thome-Jassaud, Pierre-Franck

    2017-01-01

    Session 5 featured case studies of stakeholder involvement in decisions related to new nuclear power and fuel cycle facilities. The chair highlighted that more than 30 countries either have nuclear power facilities or are considering developing them, and 15 countries are currently building new reactors. The topic of new nuclear facilities is quite broad, and the session covered three case studies that were quite different. Ms Katz of Natural Resources Canada Limited outlined stakeholder engagement commitments by a number of actors in Canada, including the Canadian Nuclear Safety Commission. She provided an overview on Cameco's behalf of their experience in engaging the local stakeholders of uranium mining activities. Ms Vanhatalo reviewed Fennovoima's activities related to the site selection and move towards construction of a new nuclear reactor. Mr Thome-Jassaud presented the experience of electricite de France on two proposed reactor projects with France's formalised public debate process. A central theme of the presentations was the importance of establishing and maintaining a good reputation, especially in the local community. Ms Katz relayed a story of Cameco inviting community leaders, near an Australian property that Cameco had acquired to visit a mining community in Saskatchewan. Instead of tightly controlling the interaction, Cameco left the Australian guests to stay with local families for several days to ask questions and hear directly from members of the Canadian community without any interference. This required confidence on the part of the company that it had built a strong and positive relationship with the Canadian host community. Ms Vanhatalo described how the success in siting nuclear power plant Hanhikivi 1 near Pyhaejoki was attributable not only to Fennovoima's commitment to engage the community, but also to the reputation that the company Teollisuuden Voima Oy had built with its Olkiluoto nuclear power plant and the

  13. Kantian Capitalism and the Stakeholder Model: the necessity of a corporate ethics of justice

    Directory of Open Access Journals (Sweden)

    Pedro Francés Gómez

    2012-01-01

    Full Text Available Stakeholder theory is the main-stream way of conceiving organizations, especially for profit corporations. Corporations are described as a web of stakeholders before whom managers have a multi-fiduciary responsibility. Edward Freeman, the father of stakeholder theory, holds that a normative theory of stakeholder management would set those fiduciary responsibilities as truly moral duties, due to the fact that stakeholders possess intrinsic, as opposed to merely instrumental, value. This article criticizes the basis of Freeman’s defense of normative stakeholder theory. The crucial critical argument is that Freeman employs the very same normative foundation that the classic theory of the firm uses; while deriving a view of the corporation that is less precise than the classic one. As an alternative, it is proposed that the organization should be conceived as a realm for justice: a social context of interaction where all parties would find it rational to agree to criteria for distributing the benefits so that cooperation –as required to bring about those benefits– is secured. This approach founds obligations (among stakeholders without the need to resort to hypothesis as individual dignity or rights. However, the demands of justice might still be operationalized as rights of several kinds.

  14. Kantian Capitalism and the Stakeholder Model: the necessity of a corporate ethics of justice

    Directory of Open Access Journals (Sweden)

    Pedro Francés Gómez

    2015-07-01

    Full Text Available Stakeholder theory is the main-stream way of conceiving organizations, especially for profit corporations. Corporations are described as a web of stakeholders before whom managers have a multi-fiduciary responsibility. Edward Freeman, the father of stakeholder theory, holds that a normative theory of stakeholder management would set those fiduciary responsibilities as truly moral duties, due to the fact that stakeholders possess intrinsic, as opposed to merely instrumental, value. This article criticizes the basis of Freeman’s defense of normative stakeholder theory. The crucial critical argument is that Freeman employs the very same normative foundation that the classic theory of the firm uses; while deriving a view of the corporation that is less precise than the classic one. As an alternative, it is proposed that the organization should be conceived as a realm for justice: a social context of interaction where all parties would find it rational to agree to criteria for distributing the benefits so that cooperation –as required to bring about those benefits– is secured. This approach founds obligations (among stakeholders without the need to resort to hypothesis as individual dignity or rights. However, the demands of justice might still be operationalized as rights of several kinds.

  15. Integrating decision management with UML modeling concepts and tools

    DEFF Research Database (Denmark)

    Könemann, Patrick

    2009-01-01

    Numerous design decisions including architectural decisions are made while developing a software system, which influence the architecture of the system as well as subsequent decisions. Several tools already exist for managing design decisions, i.e. capturing, documenting, and maintaining them......, but also for guiding the user by proposing subsequent decisions. In model-based software development, many decisions directly affect the structural and behavioral models used to describe and develop a software system and its architecture. However, the decisions are typically not connected to these models....... In this paper, we propose an integration of a decision management and a UML-based modeling tool, based on use cases we distill from an example: the UML modeling tool shall show all decisions related to a model and allow extending or updating them; the decision management tool shall trigger the modeling tool...

  16. Asset Condition, Information Systems and Decision Models

    CERN Document Server

    Willett, Roger; Brown, Kerry; Mathew, Joseph

    2012-01-01

    Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, Chin...

  17. Decision support models for natural gas dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Chin, L. (Bentley College, Waltham, MA (United States)); Vollmann, T.E. (International Inst. for Management Development, Lausanne (Switzerland))

    A decision support model is presented which will give utilities the support tools to manage the purchasing of natural gas supplies in the most cost effective manner without reducing winter safety stocks to below minimum levels. In Business As Usual (BAU) purchasing quantities vary with the daily forecasts. With Material Requirements Planning (MRP) and Linear Programming (LP), two types of factors are used: seasonal weather and decision rule. Under current practices, BAU simulation uses the least expensive gas source first, then adding successively more expensive sources. Material Requirements Planning is a production planning technique which uses a parent item master production schedule to determine time phased requirements for component points. Where the MPS is the aggregate gas demand forecasts for the contract year. This satisfies daily demand with least expensive gas and uses more expensive when necessary with automatic computation of available-to-promise (ATP) gas a dispacher knows daily when extra gas supplies may be ATP. Linear Programming is a mathematical algorithm used to determine optimal allocations of scarce resources to achieve a desired result. The LP model determines optimal daily gas purchase decisions with respect to supply cost minimization. Using these models, it appears possible to raise gross income margins 6 to 10% with minimal additions of customers and no new gas supply.

  18. Decision support models for natural gas dispatch

    International Nuclear Information System (INIS)

    Chin, L.; Vollmann, T.E.

    1992-01-01

    A decision support model is presented which will give utilities the support tools to manage the purchasing of natural gas supplies in the most cost effective manner without reducing winter safety stocks to below minimum levels. In Business As Usual (BAU) purchasing quantities vary with the daily forecasts. With Material Requirements Planning (MRP) and Linear Programming (LP), two types of factors are used: seasonal weather and decision rule. Under current practices, BAU simulation uses the least expensive gas source first, then adding successively more expensive sources. Material Requirements Planning is a production planning technique which uses a parent item master production schedule to determine time phased requirements for component points. Where the MPS is the aggregate gas demand forecasts for the contract year. This satisfies daily demand with least expensive gas and uses more expensive when necessary with automatic computation of available-to-promise (ATP) gas a dispacher knows daily when extra gas supplies may be ATP. Linear Programming is a mathematical algorithm used to determine optimal allocations of scarce resources to achieve a desired result. The LP model determines optimal daily gas purchase decisions with respect to supply cost minimization. Using these models, it appears possible to raise gross income margins 6 to 10% with minimal additions of customers and no new gas supply

  19. Transparency about net neutrality : A translation of the new European rules into a multi-stakeholder model

    NARCIS (Netherlands)

    Nooren, P.; Prins, M.J.

    2011-01-01

    The new European framework directive contains a number of policy objectives in the area of net neutrality. In support of these objectives, the universal service directive includes a transparency obligation for ISPs. This paper proposes a multi-stakeholder model for the implementation of this

  20. Knowledge Management in Sustainability Research Projects: Concepts, Effective Models, and Examples in a Multi-Stakeholder Environment

    Science.gov (United States)

    Kaiser, David Brian; Köhler, Thomas; Weith, Thomas

    2016-01-01

    This article aims to sketch a conceptual design for an information and knowledge management system in sustainability research projects. The suitable frameworks to implement knowledge transfer models constitute social communities, because the mutual exchange and learning processes among all stakeholders promote key sustainable developments through…

  1. Structural Model Error and Decision Relevancy

    Science.gov (United States)

    Goldsby, M.; Lusk, G.

    2017-12-01

    The extent to which climate models can underwrite specific climate policies has long been a contentious issue. Skeptics frequently deny that climate models are trustworthy in an attempt to undermine climate action, whereas policy makers often desire information that exceeds the capabilities of extant models. While not skeptics, a group of mathematicians and philosophers [Frigg et al. (2014)] recently argued that even tiny differences between the structure of a complex dynamical model and its target system can lead to dramatic predictive errors, possibly resulting in disastrous consequences when policy decisions are based upon those predictions. They call this result the Hawkmoth effect (HME), and seemingly use it to rebuke rightwing proposals to forgo mitigation in favor of adaptation. However, a vigorous debate has emerged between Frigg et al. on one side and another philosopher-mathematician pair [Winsberg and Goodwin (2016)] on the other. On one hand, Frigg et al. argue that their result shifts the burden to climate scientists to demonstrate that their models do not fall prey to the HME. On the other hand, Winsberg and Goodwin suggest that arguments like those asserted by Frigg et al. can be, if taken seriously, "dangerous": they fail to consider the variety of purposes for which models can be used, and thus too hastily undermine large swaths of climate science. They put the burden back on Frigg et al. to show their result has any effect on climate science. This paper seeks to attenuate this debate by establishing an irenic middle position; we find that there is more agreement between sides than it first seems. We distinguish a `decision standard' from a `burden of proof', which helps clarify the contributions to the debate from both sides. In making this distinction, we argue that scientists bear the burden of assessing the consequences of HME, but that the standard Frigg et al. adopt for decision relevancy is too strict.

  2. Integrated Environmental Modelling: Human decisions, human challenges

    Science.gov (United States)

    Glynn, Pierre D.

    2015-01-01

    Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

  3. Integrated Environmental Modelling: human decisions, human challenges

    Science.gov (United States)

    Glynn, Pierre D.

    2015-01-01

    Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

  4. Who to Blame: Irrational Decision-Makers or Stupid Modelers? (Arne Richter Award for Outstanding Young Scientists Lecture)

    Science.gov (United States)

    Madani, Kaveh

    2016-04-01

    Water management benefits from a suite of modelling tools and techniques that help simplifying and understanding the complexities involved in managing water resource systems. Early water management models were mainly concerned with optimizing a single objective, related to the design, operations or management of water resource systems (e.g. economic cost, hydroelectricity production, reliability of water deliveries). Significant improvements in methodologies, computational capacity, and data availability over the last decades have resulted in developing more complex water management models that can now incorporate multiple objectives, various uncertainties, and big data. These models provide an improved understanding of complex water resource systems and provide opportunities for making positive impacts. Nevertheless, there remains an alarming mismatch between the optimal solutions developed by these models and the decisions made by managers and stakeholders of water resource systems. Modelers continue to consider decision makers as irrational agents who fail to implement the optimal solutions developed by sophisticated and mathematically rigours water management models. On the other hand, decision makers and stakeholders accuse modelers of being idealist, lacking a perfect understanding of reality, and developing 'smart' solutions that are not practical (stable). In this talk I will have a closer look at the mismatch between the optimality and stability of solutions and argue that conventional water resources management models suffer inherently from a full-cooperation assumption. According to this assumption, water resources management decisions are based on group rationality where in practice decisions are often based on individual rationality, making the group's optimal solution unstable for individually rational decision makers. I discuss how game theory can be used as an appropriate framework for addressing the irrational "rationality assumption" of water

  5. Determination of the Support Level of Local Organizations in a Model Forest Initiative: Do Local Stakeholders Have Willingness to Be Involved in the Model Forest Development?

    Directory of Open Access Journals (Sweden)

    Ahmet Tolunay

    2014-10-01

    Full Text Available Voluntary cooperation and the support of stakeholders carry a major importance in the development of Model Forests. The identification of the support level of local organizations as stakeholders in the Bucak Model Forest initiative, located in the Mediterranean region of Turkey, constitutes the theme of this study. Within this scope, the views of the stakeholders comprising local government units (LGUs, non-governmental organizations (NGOs, village councils (VCs, professional organizations (POs and forest products enterprises (FPEs located in the district of Bucak were collected by utilizing a survey technique. The data were analysed by using non-parametric statistical analyses due to the absence of a normal distribution. The results show that the information provided about the Model Forest concept to the stakeholders located in the district on the Bucak Model Forest initiative was identified as a factor impacting the support level. Moreover, it was also observed that the stakeholders were more willing to provide advisory support rather than financial support. NGOs and VCs were identified as stakeholders who could not provide financial support due to their restricted budgets. We discuss the benefits for a Model Forest initiative of establishing international cooperation to strengthen the local and regional sustainable development process.

  6. Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin

    Science.gov (United States)

    Niswonger, Richard G.; Allander, Kip K.; Jeton, Anne E.

    2014-01-01

    A terminal lake basin in west-central Nevada, Walker Lake, has undergone drastic change over the past 90 yrs due to upstream water use for agriculture. Decreased inflows to the lake have resulted in 100 km2 decrease in lake surface area and a total loss of fisheries due to salinization. The ecologic health of Walker Lake is of great concern as the lake is a stopover point on the Pacific route for migratory birds from within and outside the United States. Stakeholders, water institutions, and scientists have engaged in collaborative modeling and the development of a decision support system that is being used to develop and analyze management change options to restore the lake. Here we use an integrated management and hydrologic model that relies on state-of-the-art simulation capabilities to evaluate the benefits of using integrated hydrologic models as components of a decision support system. Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change. Integrated management and hydrologic modeling provides a means of simulating benefits associated with management change in the Walker River basin where drastic changes in the hydrologic landscape have taken place over the last century. Through the collaborative modeling process, stakeholder support is increasing and possibly leading to management change options that result in reductions in Walker Lake salt concentrations, as simulated by the decision support system.

  7. Stakeholder expectation and satisfaction in road maintenance

    NARCIS (Netherlands)

    Hietbrink, M.; Hartmann, Andreas; Dewulf, Geert P.M.R.

    2012-01-01

    Understanding the process of stakeholder satisfaction is a prerequisite for successful stakeholder management. The expectancy disconfirmation model describes the process of stakeholder satisfaction by relating customers’ satisfaction with a product or service to discrepancy between the perceived

  8. Integrating a Decision Management Tool with UML Modeling Tools

    DEFF Research Database (Denmark)

    Könemann, Patrick

    the development process. In this report, we propose an integration of a decision management and a UML-based modeling tool, based on use cases we distill from a case study: the modeling tool shall show all decisions related to a model and allow its users to extend or update them; the decision management tool shall......Numerous design decisions are made while developing software systems, which influence the architecture of these systems as well as following decisions. A number of decision management tools already exist for capturing, documenting, and maintaining design decisions, but also for guiding developers...... trigger the modeling tool to realize design decisions in the models. We define tool-independent concepts and architecture building blocks supporting these use cases and present how they can be implemented in the IBM Rational Software Modeler and Architectural Decision Knowledge Wiki. This seamless...

  9. The Physician-as-Stakeholder: An Exploratory Qualitative Analysis of Physicians' Motivations for Using Shared Decision Making in the Emergency Department.

    Science.gov (United States)

    Schoenfeld, Elizabeth M; Goff, Sarah L; Elia, Tala R; Khordipour, Errel R; Poronsky, Kye E; Nault, Kelly A; Lindenauer, Peter K; Mazor, Kathleen M

    2016-12-01

    Shared decision making (SDM) is increasingly recognized as an important facet of patient-centered care. Despite growing interest in SDM in the emergency department (ED), little is known about emergency physicians' (EPs') motivations for using SDM. Understanding current patterns of SDM use and EP's rationale for using SDM is essential for the development of interventions to increase use. Recognizing the EP as an important stakeholder in SDM research, we sought to identify and explore factors that may motivate EPs' engagement in SDM. In this qualitative study, informed by the Theory of Planned Behavior and Social Cognitive Theory, we conducted semistructured interviews with a purposeful sample of EPs. Interviews were recorded and transcribed verbatim. Using a directed qualitative content analysis approach, three members of the research team performed open coding of the transcripts in an iterative process, building a provisional code book as coding progressed. Respondent validation was employed to ensure methodologic rigor. Fifteen EPs, ages 31-65, from both academic and community practice settings, were interviewed. Several had not heard of the specific phrase "shared decision making," but all understood the concept and felt that they used SDM techniques to some degree. Most noted they had often had an agenda when they used SDM, which often motivated them to have the conversation. Agendas described included counteracting an algorithmic or defensive approach to diagnosis and treatment, avoiding harmful tests, or sharing uncertainty. All participants believed that patients benefited from SDM in terms of satisfaction, engagement, or education. Nearly all participants identified research outcomes that they felt would encourage their use of SDM (e.g., improvements in patient engagement, mitigation of risk) and many prioritized patient-centered outcomes over systems outcomes such as improved resource utilization. Little consensus was seen, however, regarding the importance

  10. The study of prescriptive and descriptive models of decision making

    OpenAIRE

    Ashok A Divekar; Sunita Bangal; Sumangala D.

    2012-01-01

    The field of decision making can be loosely divided into two parts: the study of prescriptive models and the study of descriptive models. Prescriptive decision scientists are concerned with prescribing methods for making optimal decisions. Descriptive decision researchers are concerned with the bounded way in which the decisions are actually made. The statistics courses treat risk from a prescriptive, by suggesting rational methods. This paper brings out the work done by many researchers by e...

  11. Human-centric decision-making models for social sciences

    CERN Document Server

    Pedrycz, Witold

    2014-01-01

    The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on  comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-mak...

  12. Theory-Based Stakeholder Evaluation

    Science.gov (United States)

    Hansen, Morten Balle; Vedung, Evert

    2010-01-01

    This article introduces a new approach to program theory evaluation called theory-based stakeholder evaluation or the TSE model for short. Most theory-based approaches are program theory driven and some are stakeholder oriented as well. Practically, all of the latter fuse the program perceptions of the various stakeholder groups into one unitary…

  13. A control-theory model for human decision-making

    Science.gov (United States)

    Levison, W. H.; Tanner, R. B.

    1971-01-01

    A model for human decision making is an adaptation of an optimal control model for pilot/vehicle systems. The models for decision and control both contain concepts of time delay, observation noise, optimal prediction, and optimal estimation. The decision making model was intended for situations in which the human bases his decision on his estimate of the state of a linear plant. Experiments are described for the following task situations: (a) single decision tasks, (b) two-decision tasks, and (c) simultaneous manual control and decision making. Using fixed values for model parameters, single-task and two-task decision performance can be predicted to within an accuracy of 10 percent. Agreement is less good for the simultaneous decision and control situation.

  14. A Stakeholder-Based System Dynamics Model of Return-to-Work: A Research Protocol.

    Science.gov (United States)

    Jetha, Arif; Pransky, Glenn; Fish, Jon; Jeffries, Susan; Hettinger, Lawrence J

    2015-07-16

    Returning to work following a job-related injury or illness can be a complex process, influenced by a range of interrelated personal, psychosocial, and organizational components. System dynamics modelling (SDM) takes a sociotechnical systems perspective to view return-to-work (RTW) as a system made up of multiple feedback relationships between influential components. To build the RTW SDM, a mixed-method approach will be used. The first stage, that has already been completed, involved creating a baseline model using key informant interviews. Second, in two manufacturing companies, stakeholder-based models will be developed through interviews and focus groups with senior management, frontline workers, and frontline supervisors. Participants will be asked about the RTW process in general and more targeted questions regarding influential components. Participants will also be led through a reference mode exercise where they will be asked to estimate the direction, shape and magnitude of relationships between influential components. Data will be entered into the software program Vensim that provides a platform for visualizing system-structure and simulating the effects of adapting components. Finally, preliminary model validity testing will be conducted to provide insights on model generalizability and sensitivity. The proposed methodology will create a SDM of the RTW process using feedback relationships of influential components. It will also provide an important simulation tool to understand system behaviour that underlies complex RTW cases, and examine anticipated and unanticipated consequences of disability management policies. Significance for public healthWhile the incidence of occupational injuries and illnesses has declined over the past two decades, the proportion resulting in sickness absence has actually increased. Implementing strategies to address sickness absences and promote return-to-work (RTW) can significantly benefit physical and mental health, and

  15. Strategic planning model for achieving stakeholder involvement in environmental at DOE weapons complex sites

    International Nuclear Information System (INIS)

    Weber, G.

    1994-01-01

    Within today's reality a public manager often needs to develop cooperative relationships among a number of individual, program, and organizational stakeholders to accomplish particular projects, programs, or policies. A DOE site manager charged with accomplishing environmental restoration and conversion at former weapons production sites is no exception. Important reasons for this include the technical and political complexity of the clean-up problem; limits on the funding, authority, and other resources available to DOE; authority, responsibilities, and interests of other stakeholders; and the ever present potential for conflict among stakeholders, and power of any one to hinder, if not halt, the clean-up process if conflicts aren't managed and cooperative relationships established and maintained

  16. A Model of Career Decision Making for College Students.

    Science.gov (United States)

    Harren, Vincent A.

    1979-01-01

    Presents a model of career decision-making which includes: a delineation of the internal psychological process of decision-making; identification of important developmental and personality characteristics of the decision maker; and specification of immediate or anticipated environmental factors influencing decision-making. (Author)

  17. A Descriptive Model of Decision Making: Review of Idiographic Influences.

    Science.gov (United States)

    MacPhail-Wilcox, Bettye; Bryant, H. David

    1988-01-01

    This article provides an overview of decision-making literature, describes individual and organizational decision stages, and reviews selected idiographic influences on decision-making. Also presented is a model for predicting and explaining variations in decision outcomes. These outcomes include affective, cognitive, and behavioral conditions.…

  18. Aggregated systems model for nuclear safeguards decisions

    International Nuclear Information System (INIS)

    1979-03-01

    This report summarizes a general analytical tool designed to assist nuclear safeguards decision-makers. The approach is based on decision analysis--a quantitative procedure for evaluating complex decision alternatives with uncertain outcomes. The report describes the general analytical approach in the context of safeguards decisions at a hypothetical nuclear fuel reprocessing plant

  19. Planning that works: Empowerment through stakeholder focused interactive planning (SFIP)

    International Nuclear Information System (INIS)

    Beck, J.E.; Ison, S.A.

    1994-01-01

    This paper describes a powerful planning tool that can enable government, private industries, and public interest organizations to actualize their visions through sound decision making. The stakeholder focused interactive planning model is designed to integrate and ultimately gain stakeholder investment in the success of attainment of their vision. The only concessions required of the planning organization using this process is the acceptance of the premise that sustained vision success requires the support of both internal and external stakeholders and that each step in the process must be used as a validation of the previous step and essential to the completion of the next step. What is stakeholder/public involvement? It is the process in which the stakeholders (both internal and external) values, interests and expectations are included in decision-making processes. The primary goal of public involvement efforts is to include all those who have a stake in the decision, whether or not they have already been identified. Stakeholders are individuals, contractors, clients, suppliers, public organizations, state and local governments, Indian tribes, federal agencies, and other parties affected by decisions

  20. The role of pediatricians as key stakeholders in influencing immunization policy decisions for the introduction of meningitis B vaccine in Canada: The Ontario perspective

    Science.gov (United States)

    Yamashiro, Hirotaka; Cutcliffe, Nora; Dobson, Simon; Fisman, David; Gold, Ronald

    2015-01-01

    As key stakeholders in immunization policy decisions, the Pediatricians of Ontario held an accredited conference on January 18, 2014, to discuss prevention of invasive meningococcal disease. Five key recommendations were put forth regarding immunization strategies to protect children from meningococcal serogroup B disease. The recently approved four-component meningococcal B (4CMenB) vaccine should be recommended and funded as part of Ontario’s routine immunization schedule and should also be mandated for school attendance. Public funding for 4CMenB immunization is justified based on current MenB epidemiology, vaccine coverage, cost effectiveness and acceptability, as well as legal, political and ethical considerations related to 4CMenB immunization, particularly because routine recommendations and funding are currently in place for vaccination against meningococcal serogroups that cause significantly less disease in Canada than MenB. Broadly, the goals are to assist individual practitioners in advocating the benefits of 4CMenB vaccination to parents, and to counterbalance recommendations from the National Advisory Committee on Immunization and the Canadian Paediatric Society. PMID:26361485

  1. Development and Application of a Stakeholder Assisted Dynamic Model to Facilitate Socio Hydrological Groundwater Management on Watershed Scale

    Science.gov (United States)

    Baig, A. I.; Adamowski, J. F.; Malard, J. J.; Peng, G.

    2017-12-01

    Groundwater resource, especially in canal downstream areas are under direct threat due to over extraction by farming community. The resource is easily exploitable and no regulatory policies are enforced effectively in the region. Therefore, there is an urgent need to manage the resource judiciously through policy implementation and stakeholder engagement. In developing countries such as Pakistan, effective management solutions need consideration of some addition factors such as small land holdings, the poor economic status of farmers, and limited modeling and mathematical skills. This presentation will discuss development and application of a comprehensive but simple stakeholder assisted dynamic model to address such challenges. Two major components of the dynamic model were: (i) a system dynamics model that describes socio-economic factors such as market values; and ii) a physically based model that simulates the salt balance in the root zone with conjunctive use of canal and tube well irrigation water. Stakeholder proposed policy scenarios such as canal lining, government-sponsored tubewell installation schemes were tested and optimized through economic and environmental tradeoff criteria. After 20 years of simulation, government subsidies on tubewells appear as a short term policy that resulted 37% increase in water availability with 12% increase in farmer income. However, it showed detrimental effects on groundwater sustainability in long terms, with 10% drop in groundwater levels.

  2. Design of Soil Salinity Policies with Tinamit, a Flexible and Rapid Tool to Couple Stakeholder-Built System Dynamics Models with Physically-Based Models

    Science.gov (United States)

    Malard, J. J.; Baig, A. I.; Hassanzadeh, E.; Adamowski, J. F.; Tuy, H.; Melgar-Quiñonez, H.

    2016-12-01

    Model coupling is a crucial step to constructing many environmental models, as it allows for the integration of independently-built models representing different system sub-components to simulate the entire system. Model coupling has been of particular interest in combining socioeconomic System Dynamics (SD) models, whose visual interface facilitates their direct use by stakeholders, with more complex physically-based models of the environmental system. However, model coupling processes are often cumbersome and inflexible and require extensive programming knowledge, limiting their potential for continued use by stakeholders in policy design and analysis after the end of the project. Here, we present Tinamit, a flexible Python-based model-coupling software tool whose easy-to-use API and graphical user interface make the coupling of stakeholder-built SD models with physically-based models rapid, flexible and simple for users with limited to no coding knowledge. The flexibility of the system allows end users to modify the SD model as well as the linking variables between the two models themselves with no need for recoding. We use Tinamit to couple a stakeholder-built socioeconomic model of soil salinization in Pakistan with the physically-based soil salinity model SAHYSMOD. As climate extremes increase in the region, policies to slow or reverse soil salinity buildup are increasing in urgency and must take both socioeconomic and biophysical spheres into account. We use the Tinamit-coupled model to test the impact of integrated policy options (economic and regulatory incentives to farmers) on soil salinity in the region in the face of future climate change scenarios. Use of the Tinamit model allowed for rapid and flexible coupling of the two models, allowing the end user to continue making model structure and policy changes. In addition, the clear interface (in contrast to most model coupling code) makes the final coupled model easily accessible to stakeholders with

  3. Service Level Decision-making in Rural Physiotherapy: Development of Conceptual Models.

    Science.gov (United States)

    Adams, Robyn; Jones, Anne; Lefmann, Sophie; Sheppard, Lorraine

    2016-06-01

    Understanding decision-making about health service provision is increasingly important in an environment of increasing demand and constrained resources. Multiple factors are likely to influence decisions about which services will be provided, yet workforce is the most noted factor in the rural physiotherapy literature. This paper draws together results obtained from exploration of service level decision-making (SLDM) to propose 'conceptual' models of rural physiotherapy SLDM. A prioritized qualitative approach enabled exploration of participant perspectives about rural physiotherapy decision-making. Stakeholder perspectives were obtained through surveys and in-depth interviews. Interviews were transcribed verbatim and reviewed by participants. Participant confidentiality was maintained by coding both participants and sites. A system theory-case study heuristic provided a framework for exploration across sites within the investigation area: a large area of one Australian state with a mix of regional, rural and remote communities. Thirty-nine surveys were received from participants in 11 communities. Nineteen in-depth interviews were conducted with physiotherapists and key decision-makers. Results reveal the complexity of factors influencing rural physiotherapy service provision and the value of a systems approach when exploring decision-making about rural physiotherapy service provision. Six key features were identified that formed the rural physiotherapy SLDM system: capacity and capability; contextual influences; layered decision-making; access issues; value and beliefs; and tensions and conflict. Rural physiotherapy SLDM is not a one-dimensional process but results from the complex interaction of clusters of systems issues. Decision-making about physiotherapy service provision is influenced by both internal and external factors. Similarities in influencing factors and the iterative nature of decision-making emerged, which enabled linking physiotherapy SLDM with

  4. A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

    DEFF Research Database (Denmark)

    Pourmoayed, Reza; Nielsen, Lars Relund; Kristensen, Anders Ringgaard

    2016-01-01

    Feeding is the most important cost in the production of growing pigs and has a direct impact on the marketing decisions, growth and the final quality of the meat. In this paper, we address the sequential decision problem of when to change the feed-mix within a finisher pig pen and when to pick pigs...... for marketing. We formulate a hierarchical Markov decision process with three levels representing the decision process. The model considers decisions related to feeding and marketing and finds the optimal decision given the current state of the pen. The state of the system is based on information from on...

  5. A diffusion decision model analysis of evidence variability in the lexical decision task

    NARCIS (Netherlands)

    Tillman, Gabriel; Osth, Adam F.; van Ravenzwaaij, Don; Heathcote, Andrew

    2017-01-01

    The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159–182, 2004) frameworks, lexical-decisions are based on a continuous source of

  6. Benefit-risk trade-offs in retrospect: how major stakeholders perceive the decision-making process in the Barents Sea oil field development

    DEFF Research Database (Denmark)

    Renn, Ortwin; Grieger, Khara Deanne; Øien, Knut

    2013-01-01

    This study provides an analysis of risk-benefit communication and participation of the siting process for the Norwegian Goliat oil field development, within the context of a revised model of the International Risk Governance Council’s framework. The main objective of the study is a retrospective...... of Goliat was dominated primarily by the issue of benefit sharing. In view of potential risks to such oil development, local stakeholders felt entitled to some compensation in terms of shared benefits. However, over the course of time the high hopes that these benefits would materialize and provide...... additional benefits to the communities which would then be fairly distributed among the beneficiaries have been disappointed. We review the reasons behind these results as well as formulate recommendations regarding potential improvements to the risk-benefit communication process in addition to future siting...

  7. Participatory modeling to support gender equality : The importance of including stakeholders in interventions

    NARCIS (Netherlands)

    Bleijenbergh, I.L.; van Engen, Marloes

    2015-01-01

    Purpose Interventions to support gender equality in organisations are often unsuccessful. Stakeholders disagree about the causes and problem definition of gender equality or pay lip service to the principle of gender equality, but fail to implement gender equality in practice. The purpose of this

  8. Participatory modeling to support gender equality: The importance of including stakeholders

    NARCIS (Netherlands)

    Bleijenbergh, I.L.; Engen, M.L. van; Engen, M. van

    2015-01-01

    - Purpose – Interventions to support gender equality in organisations are often unsuccessful. Stakeholders disagree about the causes and problem definition of gender equality or pay lip service to the principle of gender equality, but fail to implement gender equality in practice. The purpose of

  9. Decision models in engineering and management

    CERN Document Server

    2015-01-01

    Providing a comprehensive overview of various methods  and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis. Decision making in organizations is a recurrent theme and is essential for business continuity.  Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making. This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analys...

  10. Stakeholder analysis methodologies resource book

    Energy Technology Data Exchange (ETDEWEB)

    Babiuch, W.M.; Farhar, B.C.

    1994-03-01

    Stakeholder analysis allows analysts to identify how parties might be affected by government projects. This process involves identifying the likely impacts of a proposed action and stakeholder groups affected by that action. Additionally, the process involves assessing how these groups might be affected and suggesting measures to mitigate any adverse effects. Evidence suggests that the efficiency and effectiveness of government actions can be increased and adverse social impacts mitigated when officials understand how a proposed action might affect stakeholders. This report discusses how to conduct useful stakeholder analyses for government officials making decisions on energy-efficiency and renewable-energy technologies and their commercialization. It discusses methodological issues that may affect the validity and reliability of findings, including sampling, generalizability, validity, ``uncooperative`` stakeholder groups, using social indicators, and the effect of government regulations. The Appendix contains resource directories and a list of specialists in stakeholder analysis and involvement.

  11. Dissolving decision making? : Models and their roles in decision-making processes and policy at large

    NARCIS (Netherlands)

    Zeiss, Ragna; van Egmond, S.

    2014-01-01

    This article studies the roles three science-based models play in Dutch policy and decision making processes. Key is the interaction between model construction and environment. Their political and scientific environments form contexts that shape the roles of models in policy decision making.

  12. Theoretical bases of modeling decision-marketing solutions

    OpenAIRE

    Grigoruk Pavel Mikhaylovych

    2012-01-01

    The paper deals with issues related with theoretical aspects of modelling of marketing decision making process. According to system approach marketing decision making process is seen as a set of related subprocesses. Provided an opportunity to use the economic and mathematical modelling at each stage of the decision making process.

  13. Expected Utility and Sequential Elimination Models of Career Decision Making.

    Science.gov (United States)

    Shaffer, Michal; Lichtenberg, James W.

    Decision-making strategies have traditionally been classified as either prescriptive/normative or descriptive/behavioral in nature. Proponents of prescriptive/normative decision-making models attempt to develop procedures for making optimal decisions while proponents of the descriptive/behavioral models look for a choice that meets a minimal set…

  14. Neural decision model of business capitalization

    Directory of Open Access Journals (Sweden)

    Martin Pokorný

    2007-01-01

    Full Text Available The topic of this article is focused on problems related to enterprise financial supervising. In the concrete, the situation of enterprise investment policy evaluation is described here. In this case, as a convenient tool for decision support, the approach of artificial intelligence was selected, particularly the model of neuron network. For the purpose of enterprise economic state evaluation, we use four input variables which describe the economic state. Three main variables are selected and the fourth one is the additional. The coding of main variables is chosen with the respect to the possible states of the enterprise. The multilayer neuron network was used for evaluation.The neural network can solve problems, which are hardly solvable for a manager because there can exist a lot of factors affecting the final decision. We have to take into account the fact that sometimes the situation is too complex. In this case, when the system gives incorrect result, it is possible to extend the current learning set and add adequate patterns which will help the system to recognize states of the enterprise.

  15. Using of Group-Modeling in Predesign Phase of New Healthcare Environments: Stakeholders Experiences.

    Science.gov (United States)

    Elf, Marie; Eldh, Ann Catrine; Malmqvist, Inga; Öhrn, Kerstin; von Koch, Lena

    2016-01-01

    Current research shows a relationship between healthcare architecture and patient-related outcomes. The planning and designing of new healthcare environments is a complex process. The needs of the various end users of the environment must be considered, including the patients, the patients' significant others, and the staff. The aim of this study was to explore the experiences of healthcare professionals participating in group modeling utilizing system dynamics in the predesign phase of new healthcare environments. We engaged healthcare professionals in a series of workshops using system dynamics to discuss the planning of healthcare environments in the beginning of a construction and then interviewed them about their experience. An explorative and qualitative design was used to describe participants' experiences of participating in the group-modeling projects. Participants (N = 20) were recruited from a larger intervention study using group modeling and system dynamics in planning and designing projects. The interviews were analyzed by qualitative content analysis. Two themes were formed, representing the experiences in the group-modeling process: "Participation in the group modeling generated knowledge and was empowering" and "Participation in the group modeling differed from what was expected and required the dedication of time and skills." The method can support participants in design teams to focus more on their healthcare organization, their care activities, and their aims rather than focusing on detailed layout solutions. This clarification is important when decisions about the design are discussed and prepared and will most likely lead to greater readiness for future building process. © The Author(s) 2015.

  16. Patient-centred outcomes research: perspectives of patient stakeholders.

    Science.gov (United States)

    Chhatre, Sumedha; Gallo, Joseph J; Wittink, Marsha; Schwartz, J Sanford; Jayadevappa, Ravishankar

    2017-11-01

    To elicit patient stakeholders' experience and perspectives about patient-centred care. Qualitative. A large urban healthcare system. Four patient stakeholders who are prostate cancer survivors. Experience and perspectives of patient stakeholders regarding patient-centred care and treatment decisions. Our patient stakeholders represented a diverse socio-demographic group. The patient stakeholders identified engagement and dialogue with physicians as crucial elements of patient-centred care model. The degree of patient-centred care was observed to be dependent on the situations. High severity conditions warranted a higher level of patient involvement, compared to mild conditions. They agreed that patient-centred care should not mean that patients can demand inappropriate treatments. An important attribute of patient-centred outcomes research model is the involvement of stakeholders. However, we have limited knowledge about the experience of patient stakeholders in patient-centred outcomes research. Our study indicates that patient stakeholders offer a unique perspective as researchers and policy-makers aim to precisely define patient-centred research and care.

  17. Novel models to improve access to medicines for chronic diseases in South Africa: an analysis of stakeholder perspectives on community-based distribution models.

    Science.gov (United States)

    Magadzire, Bvudzai Priscilla; Marchal, Bruno; Ward, Kim

    2016-01-01

    The rising demand for chronic disease treatment and the barriers to accessing these medicines have led to the development of novel models for distributing medicines in South Africa's public sector, including distribution away from health centres, known as community-based distribution (CBD). In this article, we provide a typology of CBD models and outline perceived facilitators and barriers to their implementation using an adapted health systems framework with a view to analysing how future policy decisions on CBD could impact existing models and the health system as a whole. A qualitative exploratory study comprising in-depth interviews and non-participant observations was conducted between 2012 and 2014 in one province. Study participants consisted of frontline healthcare providers (HCPs) in the public sector and a few policy, supply chain and public health experts. Observations of processes occurred at two CBD sites. We conducted deductive analysis guided by the adapted framework. Models varied in typology ranging from formal (approved by the Department of Health) to informal (demand-driven) and with or without user-fees. Processes and structures also differed, as did HCPs' perceptions of what is appropriate. HCPs perceived that CBD models were largely acceptable to patients and accommodating of their needs. Affordability of services linked to charging of user-fees was a contested issue, requiring further exploration. CBD models operated in the absence of formal policy to guide implementation, and this, coupled with the involvement of non-health professionals, issues regarding medicines handling and storage; and limited patient counselling raised concerns about the quality of pharmaceutical services being delivered. Policy decisions on each of the health system elements will likely affect other elements and ultimately influence the structure and operational modalities of models. In anticipation of a future CBD policy, stakeholders cited the need for a c ontext

  18. Modeling decisions information fusion and aggregation operators

    CERN Document Server

    Torra, Vicenc

    2007-01-01

    Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions. These techniques are applied in fields such as economics, biology and education, while in computer science they are particularly used in fields such as knowledge-based systems, robotics, and data mining. This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover the following topics in detail: synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals, indices and evaluation methods, model selection, and parameter extraction. The method...

  19. An architectural decision modeling framework for service oriented architecture design

    OpenAIRE

    Zimmermann, Olaf

    2009-01-01

    In this thesis, we investigate whether reusable architectural decision models can support Service-Oriented Architecture (SOA) design. In the current state of the art, architectural decisions are captured ad hoc and retrospectively on projects; this is a labor-intensive undertaking without immediate benefits. On the contrary, we investigate the role reusable architectural decision models can play during SOA design: We treat recurring architectural decisions as first-class method elements and p...

  20. Validating a conceptual model for an inter-professional approach to shared decision making: a mixed methods study.

    Science.gov (United States)

    Légaré, France; Stacey, Dawn; Gagnon, Susie; Dunn, Sandy; Pluye, Pierre; Frosch, Dominick; Kryworuchko, Jennifer; Elwyn, Glyn; Gagnon, Marie-Pierre; Graham, Ian D

    2011-08-01

    Following increased interest in having inter-professional (IP) health care teams engage patients in decision making, we developed a conceptual model for an IP approach to shared decision making (SDM) in primary care. We assessed the validity of the model with stakeholders in Canada. In 15 individual interviews and 7 group interviews with 79 stakeholders, we asked them to: (1) propose changes to the IP-SDM model; (2) identify barriers and facilitators to the model's implementation in clinical practice; and (3) assess the model using a theory appraisal questionnaire. We performed a thematic analysis of the transcripts and a descriptive analysis of the questionnaires. Stakeholders suggested placing the patient at its centre; extending the concept of family to include significant others; clarifying outcomes; highlighting the concept of time; merging the micro, meso and macro levels in one figure; and recognizing the influence of the environment and emotions. The most common barriers identified were time constraints, insufficient resources and an imbalance of power among health professionals. The most common facilitators were education and training in inter-professionalism and SDM, motivation to achieve an IP approach to SDM, and mutual knowledge and understanding of disciplinary roles. Most stakeholders considered that the concepts and relationships between the concepts were clear and rated the model as logical, testable, having clear schematic representation, and being relevant to inter-professional collaboration, SDM and primary care. Stakeholders validated the new IP-SDM model for primary care settings and proposed few modifications. Future research should assess if the model helps implement SDM in IP clinical practice. © 2010 Blackwell Publishing Ltd.

  1. Demographics of reintroduced populations: estimation, modeling, and decision analysis

    Science.gov (United States)

    Converse, Sarah J.; Moore, Clinton T.; Armstrong, Doug P.

    2013-01-01

    Reintroduction can be necessary for recovering populations of threatened species. However, the success of reintroduction efforts has been poorer than many biologists and managers would hope. To increase the benefits gained from reintroduction, management decision making should be couched within formal decision-analytic frameworks. Decision analysis is a structured process for informing decision making that recognizes that all decisions have a set of components—objectives, alternative management actions, predictive models, and optimization methods—that can be decomposed, analyzed, and recomposed to facilitate optimal, transparent decisions. Because the outcome of interest in reintroduction efforts is typically population viability or related metrics, models used in decision analysis efforts for reintroductions will need to include population models. In this special section of the Journal of Wildlife Management, we highlight examples of the construction and use of models for informing management decisions in reintroduced populations. In this introductory contribution, we review concepts in decision analysis, population modeling for analysis of decisions in reintroduction settings, and future directions. Increased use of formal decision analysis, including adaptive management, has great potential to inform reintroduction efforts. Adopting these practices will require close collaboration among managers, decision analysts, population modelers, and field biologists.

  2. A Bayesian Attractor Model for Perceptual Decision Making

    Science.gov (United States)

    Bitzer, Sebastian; Bruineberg, Jelle; Kiebel, Stefan J.

    2015-01-01

    Even for simple perceptual decisions, the mechanisms that the brain employs are still under debate. Although current consensus states that the brain accumulates evidence extracted from noisy sensory information, open questions remain about how this simple model relates to other perceptual phenomena such as flexibility in decisions, decision-dependent modulation of sensory gain, or confidence about a decision. We propose a novel approach of how perceptual decisions are made by combining two influential formalisms into a new model. Specifically, we embed an attractor model of decision making into a probabilistic framework that models decision making as Bayesian inference. We show that the new model can explain decision making behaviour by fitting it to experimental data. In addition, the new model combines for the first time three important features: First, the model can update decisions in response to switches in the underlying stimulus. Second, the probabilistic formulation accounts for top-down effects that may explain recent experimental findings of decision-related gain modulation of sensory neurons. Finally, the model computes an explicit measure of confidence which we relate to recent experimental evidence for confidence computations in perceptual decision tasks. PMID:26267143

  3. Strengthening stakeholder-engaged research and research on stakeholder engagement.

    Science.gov (United States)

    Ray, Kristin N; Miller, Elizabeth

    2017-06-01

    Stakeholder engagement is an emerging field with little evidence to inform best practices. Guidelines are needed to improve the quality of research on stakeholder engagement through more intentional planning, evaluation and reporting. We developed a preliminary framework for planning, evaluating and reporting stakeholder engagement, informed by published conceptual models and recommendations and then refined through our own stakeholder engagement experience. Our proposed exploratory framework highlights contexts and processes to be addressed in planning stakeholder engagement, and potential immediate, intermediate and long-term outcomes that warrant evaluation. We use this framework to illustrate both the minimum information needed for reporting stakeholder-engaged research and the comprehensive detail needed for reporting research on stakeholder engagement.

  4. A control theory model for human decision making

    Science.gov (United States)

    Levison, W. H.

    1972-01-01

    The optimal control model for pilot-vehicle systems has been extended to handle certain types of human decision tasks. The model for decision making incorporates the observation noise, optimal estimation, and prediction concepts that form the basis of the model for control behavior. Experiments are described for the following task situations: (1) single decision tasks; (2) two decision tasks; and (3) simultaneous manual control and decision tasks. Using fixed values for model parameters, single-task and two-task decision performance scores to within an accuracy of 10 percent can be predicted. The experiment on simultaneous control and decision indicates the presence of task interference in this situation, but the results are not adequate to allow a conclusive test of the predictive capability of the model.

  5. Engaging stakeholder networks

    Energy Technology Data Exchange (ETDEWEB)

    Svendsen, A. [CoreRelation Consulting Inc., Delta, BC (Canada)]|[Simon Fraser Univ., Burnaby, BC (Canada); Laberge, M. [Simon Fraser Univ., Burnaby, BC (Canada)

    2004-07-01

    Management philosophies concerning stakeholder engagement were reviewed. This presentation provided guidelines for managers working from a sustainability value creation framework who wish to develop more effective ways to engage with stakeholders and high stakes issues that cross political, social and organizational boundaries. It was suggested that conflicts over resources, the demand for participation and the increasing power of Non-Governmental Organizations have all contributed to the increased need for stakeholder engagement. A review of different types of stakeholders was provided. Earlier strategies of managing stakeholders were examined, in which externalities such as environmental cost were not accounted for. By contrast, the emerging management philosophy presented here stressed a recognition that long term survival relied on the good health of external and internal environments. Core business strategies were discussed with reference to core values. It was suggested that a longer term focus, inclusiveness, and integration were beneficial to businesses as a whole. A case study of Clayoquot Sound was presented. The concept of social capital was examined. Individual and collective learning were evaluated. A model for engaging stakeholder networks was presented as well as a step by step procedural guide, which included the creation of a solid foundation; organizational alignment; strategy; the importance of asking questions; trust building; evaluation; and renewal. Challenges to stakeholder engagement included finding resources; ensuring consistency; patience; a tendency in business to measure success in short term payoffs; and maintaining a stakeholder perspective. It was concluded that the benefits of a sustainability value creation framework for businesses far outweighed any initial disadvantages. refs., tabs., figs.

  6. Modelling contractor’s bidding decision

    Directory of Open Access Journals (Sweden)

    Biruk Sławomir

    2017-03-01

    Full Text Available The authors aim to provide a set of tools to facilitate the main stages of the competitive bidding process for construction contractors. These involve 1 deciding whether to bid, 2 calculating the total price, and 3 breaking down the total price into the items of the bill of quantities or the schedule of payments to optimise contractor cash flows. To define factors that affect the decision to bid, the authors rely upon literature on the subject and put forward that multi-criteria methods are applied to calculate a single measure of contract attractiveness (utility value. An attractive contract implies that the contractor is likely to offer a lower price to increase chances of winning the competition. The total bid price is thus to be interpolated between the lowest acceptable and the highest justifiable price based on the contract attractiveness. With the total bid price established, the next step is to split it between the items of the schedule of payments. A linear programming model is proposed for this purpose. The application of the models is illustrated with a numerical example.

  7. FUZZY DECISION MAKING MODEL FOR BYZANTINE AGREEMENT

    Directory of Open Access Journals (Sweden)

    S. MURUGAN

    2014-04-01

    Full Text Available Byzantine fault tolerance is of high importance in the distributed computing environment where malicious attacks and software errors are common. A Byzantine process sends arbitrary messages to every other process. An effective fuzzy decision making approach is proposed to eliminate the Byzantine behaviour of the services in the distributed environment. It is proposed to derive a fuzzy decision set in which the alternatives are ranked with grade of membership and based on that an appropriate decision can be arrived on the messages sent by the different services. A balanced decision is to be taken from the messages received across the services. To accomplish this, Hurwicz criterion is used to balance the optimistic and pessimistic views of the decision makers on different services. Grades of membership for the services are assessed using the non-functional Quality of Service parameters and have been estimated using fuzzy entropy measure which logically ranks the participant services. This approach for decision making is tested by varying the number of processes, varying the number of faulty services, varying the message values sent to different services and considering the variation in the views of the decision makers about the services. The experimental result shows that the decision reached is an enhanced one and in case of conflict, the proposed approach provides a concrete result, whereas decision taken using the Lamport’s algorithm is an arbitrary one.

  8. Stakeholder engagement: a model for tobacco policy planning in Oklahoma Tribal communities.

    Science.gov (United States)

    Blanchard, Jessica W; Petherick, J T; Basara, Heather

    2015-01-01

    Oklahoma law pre-empts local governments from enacting smoking restrictions inside public places that are stricter than state law, but the sovereign status of Oklahoma's 38 Tribal nations means they are uniquely positioned to stand apart as leaders in the area of tobacco policy. To provide recommendations for employing university-Tribal partnerships as an effective strategy for tobacco policy planning in tribal communities. Using a community-based participatory research approach, researchers facilitated a series of meetings with key Tribal stakeholders in order to develop a comprehensive tobacco policy plan. Ongoing engagement activities held between January 2011 and May 2012, including interdepartmental visits, facility site tours, interviews, and attendance at tribal activities, were critical for fostering constructive and trusting relationships between all partners involved in the policy planning process. The 17-month collaborative engagement produced a plan designed to regulate the use of commercial tobacco in all Tribally owned properties. The extended period of collaboration between the researchers and Tribal stakeholders facilitated: (1) levels of trust between partners; and (2) a steadfast commitment to the planning process, ensuring completion of the plan amid uncertain political climates and economic concerns about tobacco bans. Extended engagement produced an effective foundation for policy planning that promoted collaboration between otherwise dispersed Tribal departments, and facilitated communication of diverse stakeholder interests related to the goal of tobacco policies. The findings of this study provide useful strategies and best practices for those looking to employ Tribal-university partnerships as strategies for tobacco control planning and policy-based research. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  9. Multi-stakeholder decision analysis and comparative risk assessment for reuse-recycle oriented e-waste management strategies: a game theoretic approach.

    Science.gov (United States)

    Kaushal, Rajendra Kumar; Nema, Arvind K

    2013-09-01

    This article deals with assessment of the potential health risk posed by carcinogenic and non-carcinogenic substances, namely lead (Pb), cadmium (Cd), copper, chromium (CrVI), zinc, nickel and mercury, present in e-waste. A multi-objective, multi-stakeholder approach based on strategic game theory model has been developed considering cost, as well as human health risk. The trade-off due to cost difference between a hazardous substances-free (HSF) and a hazardous substance (HS)-containing desktop computer, and the risk posed by them at the time of disposal, has been analyzed. The cancer risk due to dust inhalation for workers at a recycling site in Bangalore for Pb, Cr(VI) and Cd was found to be 4, 33 and 101 in 1 million respectively. Pb and Cr(VI) result in a very high risk owing to dust ingestion at slums near the recycling site--175 and 81 in 1 million for children, and 24 and 11 in 1 million for adults respectively. The concentration of Pb at a battery workshop in Mayapuri, Delhi (hazard quotient = 3.178) was found to pose adverse health hazards. The government may impose an appropriate penalty on the land disposal of computer waste and/or may give an incentive to manufacturer for producing HSF computers through, for example, relaxing taxes, but there should be no such incentive for manufacturing HS-containing computers.

  10. The impact of group model building on behaviour

    NARCIS (Netherlands)

    Rouwette, E.A.J.A.

    2017-01-01

    Group model building refers to a process of building system dynamics models with decision makers, experts, and other stakeholders. Involving stakeholders in building system dynamics models has a long history going back several decades (Andersen, Vennix, Richardson, & Rouwette, 2007). In

  11. A three-talk model for shared decision making: multistage consultation process.

    Science.gov (United States)

    Elwyn, Glyn; Durand, Marie Anne; Song, Julia; Aarts, Johanna; Barr, Paul J; Berger, Zackary; Cochran, Nan; Frosch, Dominick; Galasiński, Dariusz; Gulbrandsen, Pål; Han, Paul K J; Härter, Martin; Kinnersley, Paul; Lloyd, Amy; Mishra, Manish; Perestelo-Perez, Lilisbeth; Scholl, Isabelle; Tomori, Kounosuke; Trevena, Lyndal; Witteman, Holly O; Van der Weijden, Trudy

    2017-11-06

    Objectives  To revise an existing three-talk model for learning how to achieve shared decision making, and to consult with relevant stakeholders to update and obtain wider engagement. Design  Multistage consultation process. Setting  Key informant group, communities of interest, and survey of clinical specialties. Participants  19 key informants, 153 member responses from multiple communities of interest, and 316 responses to an online survey from medically qualified clinicians from six specialties. Results  After extended consultation over three iterations, we revised the three-talk model by making changes to one talk category, adding the need to elicit patient goals, providing a clear set of tasks for each talk category, and adding suggested scripts to illustrate each step. A new three-talk model of shared decision making is proposed, based on "team talk," "option talk," and "decision talk," to depict a process of collaboration and deliberation. Team talk places emphasis on the need to provide support to patients when they are made aware of choices, and to elicit their goals as a means of guiding decision making processes. Option talk refers to the task of comparing alternatives, using risk communication principles. Decision talk refers to the task of arriving at decisions that reflect the informed preferences of patients, guided by the experience and expertise of health professionals. Conclusions  The revised three-talk model of shared decision making depicts conversational steps, initiated by providing support when introducing options, followed by strategies to compare and discuss trade-offs, before deliberation based on informed preferences. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  12. Risk-based systems analysis for emerging technologies: Applications of a technology risk assessment model to public decision making

    International Nuclear Information System (INIS)

    Quadrel, M.J.; Fowler, K.M.; Cameron, R.; Treat, R.J.; McCormack, W.D.; Cruse, J.

    1995-01-01

    The risk-based systems analysis model was designed to establish funding priorities among competing technologies for tank waste remediation. The model addresses a gap in the Department of Energy's (DOE's) ''toolkit'' for establishing funding priorities among emerging technologies by providing disciplined risk and cost assessments of candidate technologies within the context of a complete remediation system. The model is comprised of a risk and cost assessment and a decision interface. The former assesses the potential reductions in risk and cost offered by new technology relative to the baseline risk and cost of an entire system. The latter places this critical information in context of other values articulated by decision makers and stakeholders in the DOE system. The risk assessment portion of the model is demonstrated for two candidate technologies for tank waste retrieval (arm-based mechanical retrieval -- the ''long reach arm'') and subsurface barriers (close-coupled chemical barriers). Relative changes from the base case in cost and risk are presented for these two technologies to illustrate how the model works. The model and associated software build on previous work performed for DOE's Office of Technology Development and the former Underground Storage Tank Integrated Demonstration, and complement a decision making tool presented at Waste Management 1994 for integrating technical judgements and non-technical (stakeholder) values when making technology funding decisions

  13. Ethical Decision Making

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    2012-01-01

    Purpose: For the last three decades, Stakeholder management has been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models that can explain the complexities of the inter......Purpose: For the last three decades, Stakeholder management has been concerned either with strategic business management or business ethics, values and quality. Many models have been developed, but recently the literature asks for more dynamic models that can explain the complexities...... of the interaction between a corporation and its stakeholders. Methodology/approach: This paper offers a theoretical 'Organic Stakeholder Model' based on decision making theory, risk assessment and adaption to a rapidly changing world combined with appropriate stakeholder theory for ethical purposes in decision...... applicable): The Model is based on case studies, but the limited scope of the length of the paper did not leave room to show the empirical evidence, but only the theoretical study. Originality / value of a paper: The model offers a new way of combining risk management with ethical decision-making processes...

  14. Assessing medical student knowledge and attitudes about shared decision making across the curriculum: protocol for an international online survey and stakeholder analysis.

    Science.gov (United States)

    Durand, Marie-Anne; Yen, Renata; Barr, Paul J; Cochran, Nan; Aarts, Johanna; Légaré, France; Reed, Malcolm; James O'Malley, A; Scalia, Peter; Painchaud Guérard, Geneviève; Elwyn, Glyn

    2017-06-23

    Shared decision making (SDM) is a goal of modern medicine; however, it is not currently embedded in routine care. Barriers include clinicians’ attitudes, lack of knowledge and training and time constraints. Our goal is to support the development and delivery of a robust SDM curriculum in medical education. Our objective is to assess undergraduate medical students’ knowledge of and attitudes towards SDM in four countries. The first phase of the study involves a web-based cross-sectional survey of undergraduate medical students from all years in selected schools across the United States (US), Canada and undergraduate and graduate students in the Netherlands. In the United Kingdom (UK), the survey will be circulated to all medical schools through the UK Medical School Council. We will sample students equally in all years of training and assess attitudes towards SDM, knowledge of SDM and participation in related training. Medical students of ages 18 years and older in the four countries will be eligible. The second phase of the study will involve semistructured interviews with a subset of students from phase 1 and a convenience sample of medical school curriculum experts or stakeholders. Data will be analysed using multivariable analysis in phase 1 and thematic content analysis in phase 2. Method, data source and investigator triangulation will be performed. Online survey data will be reported according to the Checklist for Reporting the Results of Internet E-Surveys. We will use the COnsolidated criteria for REporting Qualitative research for all qualitative data. The study has been approved for dissemination in the US, the Netherlands, Canada and the UK. The study is voluntary with an informed consent process. The results will be published in a peer-reviewed journal and will help inform the inclusion of SDM-specific curriculum in medical education worldwide. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article

  15. Social media: the what, the why and the worry. ASN activity on social media. Communications Lessons Learned from the 2014 Radiological Release Event at the Waste Isolation Pilot Plant. Spanish stakeholder for the NEA workshop on stakeholder involvement in nuclear decision making

    International Nuclear Information System (INIS)

    Harrington, Holly; Bouchot, Emmanuel; Runyon, Timothy; Gonzalez Herrero, Eva

    2017-01-01

    Session 8 focused on the media and how it can be utilised to effectively garner stakeholder involvement. It highlighted the changes over the years in how decision makers interact with stakeholders in the nuclear community and the nuances of using the various social media platforms and traditional media outlets. The session had a heavier focus on social media as it is a new and quickly evolving means of engaging the public and other stakeholders. Cases provided insight on current usages, whether in continuing regulatory communication or in response to emergent events. The session included input from regulators, implementers and a media representative sharing the various perspectives on the public communication aspect of stakeholder involvement. They pointed out the various outlets and platforms that can be employed to involve and inform different stakeholders, acknowledging the advantages and disadvantages of each method. Speakers emphasised how important it is that the communication with stakeholders be two-way, allowing thoughts and opinions to be expressed even when they are in stark opposition to nuclear projects or when they are critical of regulatory practices. It is important to consider the stakeholders' perspective and how they may want to be involved in the decision-making process. As stated in the first presentation by Ms Harrington of the US Nuclear Regulatory Commission and echoed throughout the session, stakeholders in general want information that will update them as to current activities, how they could be affected and how they can possibly influence the process. During an emergency, there may be special risk communication needs. The strategic use of social media platforms can assist organisations in engaging stakeholders and provide the information and interaction they may want. Social media includes web sites and more specifically, applications that allow the user to create and share information. It was recognised during the presentations that

  16. Incorporating affective bias in models of human decision making

    Science.gov (United States)

    Nygren, Thomas E.

    1991-01-01

    Research on human decision making has traditionally focused on how people actually make decisions, how good their decisions are, and how their decisions can be improved. Recent research suggests that this model is inadequate. Affective as well as cognitive components drive the way information about relevant outcomes and events is perceived, integrated, and used in the decision making process. The affective components include how the individual frames outcomes as good or bad, whether the individual anticipates regret in a decision situation, the affective mood state of the individual, and the psychological stress level anticipated or experienced in the decision situation. A focus of the current work has been to propose empirical studies that will attempt to examine in more detail the relationships between the latter two critical affective influences (mood state and stress) on decision making behavior.

  17. A Layered Decision Model for Cost-Effective System Security

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Huaqiang; Alves-Foss, James; Soule, Terry; Pforsich, Hugh; Zhang, Du; Frincke, Deborah A.

    2008-10-01

    System security involves decisions in at least three areas: identification of well-defined security policies, selection of cost-effective defence strategies, and implementation of real-time defence tactics. Although choices made in each of these areas affect the others, existing decision models typically handle these three decision areas in isolation. There is no comprehensive tool that can integrate them to provide a single efficient model for safeguarding a network. In addition, there is no clear way to determine which particular combinations of defence decisions result in cost-effective solutions. To address these problems, this paper introduces a Layered Decision Model (LDM) for use in deciding how to address defence decisions based on their cost-effectiveness. To validate the LDM and illustrate how it is used, we used simulation to test model rationality and applied the LDM to the design of system security for an e-commercial business case.

  18. The community environmental monitoring program: a model for stakeholder involvement in environmental monitoring

    International Nuclear Information System (INIS)

    Hartwell, William T.; Shafer, David S.

    2007-01-01

    Since 1981, the Community Environmental Monitoring Program (CEMP) has involved stakeholders directly in its daily operation and data collection, as well as in dissemination of information on radiological surveillance in communities surrounding the Nevada Test Site (NTS), the primary location where the United States (US) conducted nuclear testing until 1992. The CEMP is funded by the US Department of Energy's National Nuclear Security Administration, and is administered by the Desert Research Institute (DRI) of the Nevada System of Higher Education. The CEMP provides training workshops for stakeholders involved in the program, and educational outreach to address public concerns about health risk and environmental impacts from past and ongoing NTS activities. The network includes 29 monitoring stations located across an approximately 160,000 km 2 area of Nevada, Utah and California in the southwestern US. The principal radiological instruments are pressurized ion chambers for measuring gamma radiation, and particulate air samplers, primarily for alpha/beta detection. Stations also employ a full suite of meteorological instruments, allowing for improved interpretation of the effects of meteorological events on background radiation levels. Station sensors are wired to state-of-the-art data-loggers that are capable of several weeks of on-site data storage, and that work in tandem with a communications system that integrates DSL and wireless internet, land line and cellular phone, and satellite technologies for data transfer. Data are managed through a platform maintained by the Western Regional Climate Center (WRCC) that DRI operates for the U.S. National Oceanic and Atmospheric Administration. The WRCC platform allows for near real-time upload and display of current monitoring information in tabular and graphical formats on a public web site. Archival data for each station are also available on-line, providing the ability to perform trending analyses or calculate site

  19. Modeling Based Decision Support Environment, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — Phoenix Integration's vision is the creation of an intuitive human-in-the-loop engineering environment called Decision Navigator that leverages recent advances in...

  20. Clinical models of decision making in addiction.

    Science.gov (United States)

    Koffarnus, Mikhail N; Kaplan, Brent A

    2018-01-01

    As research on decision making in addiction accumulates, it is increasingly clear that decision-making processes are dysfunctional in addiction and that this dysfunction may be fundamental to the initiation and maintenance of addictive behavior. How drug-dependent individuals value and choose among drug and nondrug rewards is consistently different from non-dependent individuals. The present review focuses on the assessment of decision-making in addiction. We cover the common behavioral tasks that have shown to be fruitful in decision-making research and highlight analytical and graphical considerations, when available, to facilitate comparisons within and among studies. Delay discounting tasks, drug demand tasks, drug choice tasks, the Iowa Gambling Task, and the Balloon Analogue Risk Task are included. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. A cooperative model of decision making

    International Nuclear Information System (INIS)

    Armour, A.M.

    1993-01-01

    This paper will describe an experiment aimed at increasing the social responsiveness of planning and decision processes. It involves an on-going effort by the canadian federal government to site a facility to manage low level radioactive wastes

  2. Generative Agents for Player Decision Modeling in Games

    DEFF Research Database (Denmark)

    Holmgård, Christoffer; Liapis, Antonios; Togelius, Julian

    2014-01-01

    This paper presents a method for modeling player decision making through the use of agents as AI-driven personas. The paper argues that artificial agents, as generative player models, have properties that allow them to be used as psyhometrically valid, abstract simulations of a human player......’s internal decision making processes. Such agents can then be used to interpret human decision making, as personas and playtesting tools in the game design process, as baselines for adapting agents to mimic classes of human players, or as believable, human-like opponents. This argument is explored...... in a crowdsourced decision making experiment, in which the decisions of human players are recorded in a small-scale dungeon themed puzzle game. Human decisions are compared to the decisions of a number of a priori defined “archetypical” agent-personas, and the humans are characterized by their likeness...

  3. Systematic narrative review of decision frameworks to select the appropriate modelling approaches for health economic evaluations.

    Science.gov (United States)

    Tsoi, B; O'Reilly, D; Jegathisawaran, J; Tarride, J-E; Blackhouse, G; Goeree, R

    2015-06-17

    In constructing or appraising a health economic model, an early consideration is whether the modelling approach selected is appropriate for the given decision problem. Frameworks and taxonomies that distinguish between modelling approaches can help make this decision more systematic and this study aims to identify and compare the decision frameworks proposed to date on this topic area. A systematic review was conducted to identify frameworks from peer-reviewed and grey literature sources. The following databases were searched: OVID Medline and EMBASE; Wiley's Cochrane Library and Health Economic Evaluation Database; PubMed; and ProQuest. Eight decision frameworks were identified, each focused on a different set of modelling approaches and employing a different collection of selection criterion. The selection criteria can be categorized as either: (i) structural features (i.e. technical elements that are factual in nature) or (ii) practical considerations (i.e. context-dependent attributes). The most commonly mentioned structural features were population resolution (i.e. aggregate vs. individual) and interactivity (i.e. static vs. dynamic). Furthermore, understanding the needs of the end-users and stakeholders was frequently incorporated as a criterion within these frameworks. There is presently no universally-accepted framework for selecting an economic modelling approach. Rather, each highlights different criteria that may be of importance when determining whether a modelling approach is appropriate. Further discussion is thus necessary as the modelling approach selected will impact the validity of the underlying economic model and have downstream implications on its efficiency, transparency and relevance to decision-makers.

  4. Stakeholder Dissonance

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    2016-01-01

    The purpose of this chapter is to investigate the question of whether corporate social responsibility (CSR) can be used as a link of trust between business and society, and which role CSR plays in recovering distrust in businesses. It uses a mixed methods study of processes of moving businesses...... within the Danish water sector from a general trust-breakdown to trust recovery from 2003 to 2013. Trust recovery is found to depend on stakeholders’ mutual engagement with each other and their willingness to share knowledge and learn from each other’s professional and institutional cultures....... This chapter suggests a theoretical extension of Bogenschneider and Corbett’s (2010) Community Dissonance Theory to embrace multiple stakeholders each having their own complex and unique culture and communication modus based on their institutional, professional or individual comprehensive language universes...

  5. Evolution of quantum-like modeling in decision making processes

    International Nuclear Information System (INIS)

    Khrennikova, Polina

    2012-01-01

    The application of the mathematical formalism of quantum mechanics to model behavioral patterns in social science and economics is a novel and constantly emerging field. The aim of the so called 'quantum like' models is to model the decision making processes in a macroscopic setting, capturing the particular 'context' in which the decisions are taken. Several subsequent empirical findings proved that when making a decision people tend to violate the axioms of expected utility theory and Savage's Sure Thing principle, thus violating the law of total probability. A quantum probability formula was devised to describe more accurately the decision making processes. A next step in the development of QL-modeling in decision making was the application of Schrödinger equation to describe the evolution of people's mental states. A shortcoming of Schrödinger equation is its inability to capture dynamics of an open system; the brain of the decision maker can be regarded as such, actively interacting with the external environment. Recently the master equation, by which quantum physics describes the process of decoherence as the result of interaction of the mental state with the environmental 'bath', was introduced for modeling the human decision making. The external environment and memory can be referred to as a complex 'context' influencing the final decision outcomes. The master equation can be considered as a pioneering and promising apparatus for modeling the dynamics of decision making in different contexts.

  6. Evolution of quantum-like modeling in decision making processes

    Science.gov (United States)

    Khrennikova, Polina

    2012-12-01

    The application of the mathematical formalism of quantum mechanics to model behavioral patterns in social science and economics is a novel and constantly emerging field. The aim of the so called 'quantum like' models is to model the decision making processes in a macroscopic setting, capturing the particular 'context' in which the decisions are taken. Several subsequent empirical findings proved that when making a decision people tend to violate the axioms of expected utility theory and Savage's Sure Thing principle, thus violating the law of total probability. A quantum probability formula was devised to describe more accurately the decision making processes. A next step in the development of QL-modeling in decision making was the application of Schrödinger equation to describe the evolution of people's mental states. A shortcoming of Schrödinger equation is its inability to capture dynamics of an open system; the brain of the decision maker can be regarded as such, actively interacting with the external environment. Recently the master equation, by which quantum physics describes the process of decoherence as the result of interaction of the mental state with the environmental 'bath', was introduced for modeling the human decision making. The external environment and memory can be referred to as a complex 'context' influencing the final decision outcomes. The master equation can be considered as a pioneering and promising apparatus for modeling the dynamics of decision making in different contexts.

  7. Anticipatory network models of multicriteria decision-making processes

    Science.gov (United States)

    Skulimowski, Andrzej M. J.

    2014-01-01

    In this article, we will investigate the properties of a compromise solution selection method based on modelling the consequences of a decision as factors influencing the decision making in subsequent problems. Specifically, we assume that the constraints and preference structures in the (k + 1)st multicriteria optimisation problem depend on the values of criteria in the k-th problem. To make a decision in the initial problem, the decision maker should take into account the anticipated outcomes of each linked future decision problem. This model can be extended to a network of linked decision problems, such that causal relations are defined between the time-ordered nodes. Multiple edges starting from a decision node correspond to different future scenarios of consequences at this node. In addition, we will define the relation of anticipatory feedback, assuming that some decision makers take into account the anticipated future consequences of their decisions described by a network of optimisers - a class of information processing units introduced in this article. Both relations (causal and anticipatory) form a feedback information model, which makes possible a selection of compromise solutions taking into account the anticipated consequences. We provide constructive algorithms to solve discrete multicriteria decision problems that admit the above preference information structure. An illustrative example is presented in Section 4. Various applications of the above model, including the construction of technology foresight scenarios, are discussed in the final section of this article.

  8. Reviewing model application to support animal health decision making.

    Science.gov (United States)

    Singer, Alexander; Salman, Mo; Thulke, Hans-Hermann

    2011-04-01

    Animal health is of societal importance as it affects human welfare, and anthropogenic interests shape decision making to assure animal health. Scientific advice to support decision making is manifold. Modelling, as one piece of the scientific toolbox, is appreciated for its ability to describe and structure data, to give insight in complex processes and to predict future outcome. In this paper we study the application of scientific modelling to support practical animal health decisions. We reviewed the 35 animal health related scientific opinions adopted by the Animal Health and Animal Welfare Panel of the European Food Safety Authority (EFSA). Thirteen of these documents were based on the application of models. The review took two viewpoints, the decision maker's need and the modeller's approach. In the reviewed material three types of modelling questions were addressed by four specific model types. The correspondence between tasks and models underpinned the importance of the modelling question in triggering the modelling approach. End point quantifications were the dominating request from decision makers, implying that prediction of risk is a major need. However, due to knowledge gaps corresponding modelling studies often shed away from providing exact numbers. Instead, comparative scenario analyses were performed, furthering the understanding of the decision problem and effects of alternative management options. In conclusion, the most adequate scientific support for decision making - including available modelling capacity - might be expected if the required advice is clearly stated. Copyright © 2011 Elsevier B.V. All rights reserved.

  9. Stakeholder Engagement: Ensuring Confidence in the Regulatory Decision of a Possible Co-Located Low Level Waste (LLW) Disposal and Intermediate Level Waste (ILW) Storage Facility in Australia

    International Nuclear Information System (INIS)

    Murray, Julie

    2016-01-01

    Stakeholder Engagement Strategy and Plan: 1. Explicitly state your OBJECTIVE! I.“Strengthen and sustain stakeholder trust …..”; II.Independence, capability and evidence-based approach. 2. Important to get the tone and preferred mode of engagement right … from the start. I. Collaboration mode: I. Person-to-Person; II. One-to-One; III. Small Groups. 3. Executed and managed over a sustained period of time; I.The plan MUST be amenable! 4. The 6 Pillars strategy (1. Position APANSA as the peoples' expert; 2. Engage all Tier One stakeholders person-to-person; 3. Generate content that is understood readily; 4. Provide information openly; 5. Create awareness; 6. Involve stateholders) of the engagement and plan and engagement activities.

  10. Modeling Adversaries in Counterterrorism Decisions Using Prospect Theory.

    Science.gov (United States)

    Merrick, Jason R W; Leclerc, Philip

    2016-04-01

    Counterterrorism decisions have been an intense area of research in recent years. Both decision analysis and game theory have been used to model such decisions, and more recently approaches have been developed that combine the techniques of the two disciplines. However, each of these approaches assumes that the attacker is maximizing its utility. Experimental research shows that human beings do not make decisions by maximizing expected utility without aid, but instead deviate in specific ways such as loss aversion or likelihood insensitivity. In this article, we modify existing methods for counterterrorism decisions. We keep expected utility as the defender's paradigm to seek for the rational decision, but we use prospect theory to solve for the attacker's decision to descriptively model the attacker's loss aversion and likelihood insensitivity. We study the effects of this approach in a critical decision, whether to screen containers entering the United States for radioactive materials. We find that the defender's optimal decision is sensitive to the attacker's levels of loss aversion and likelihood insensitivity, meaning that understanding such descriptive decision effects is important in making such decisions. © 2014 Society for Risk Analysis.

  11. Decision making and co-operation between stakeholders within the process of sick leave. A case study in a Danish municipality

    DEFF Research Database (Denmark)

    Johansen, Kristina; Andersen, John Sahl; Mikkelsen, Sigurd

    2011-01-01

    manager and general practitioner (GP) were interviewed. Two key persons within the municipality were interviewed as background informants. The GPs and case managers ability to co-operate was hampered by lack of time, frequent staff turnover, lack of financial resources, and low accessibility...... by legal constraints and conflicting paradigms of key stakeholders. Rather than forcing co-operation, policymakers should increase the stakeholders' abilities and improve the conditions that create the low level of trust and hamper the willingness to co-operate....

  12. Stakeholder participation in health impact assessment: A multicultural approach

    International Nuclear Information System (INIS)

    Negev, Maya; Davidovitch, Nadav; Garb, Yaakov; Tal, Alon

    2013-01-01

    The literature on impact assessment (HIA) registers the importance of stakeholder participation in the assessment process, but still lacks a model for engaging stakeholders of diverse ethnic, professional and sectorial backgrounds. This paper suggests that the multicultural approach can contribute to HIA through a revision of the generic 5-step HIA model, and its implementation in a metropolitan plan in Southern Israel. The health issue scoped by the stakeholders in the HIA is related to land uses in the vicinity of the national hazardous industry and hazardous waste site. The stakeholders were representatives of the diverse populations at stake, including rural Bedouins and Jewish city dwellers, as well as representatives from the public sector, private sector, non-governmental organizations and academia. The case study revealed that a multicultural stakeholder participation process helps to uncover health issues known to the community which were not addressed in the original plan, and provides local knowledge regarding health conditions that is especially valuable when scientific data is uncertain or absent. It enables diverse stakeholders to prioritize the health issues that will be assessed. The case study also reveals ways in which the model needs revisions and improvements such as in recruitment of diverse participants. This paper presents a multicultural model of HIA and discusses some of the challenges that are faced when HIA is implemented in the context of current decision-making culture. -- Highlights: • We revised the generic HIA model in light of the multicultural approach. • We tested the model in a case study of zoning a hazardous industry site. • Multicultural stakeholder participation uncovers health issues known to communities. • It enables community prioritization of health issues. • We present a model for multicultural stakeholder participation in HIA

  13. Modelling Investment Attractiveness of a Public Joint Stock Company as the Basis of Managerial Decision Making

    Directory of Open Access Journals (Sweden)

    Brukhovetskaya Natalia E.

    2014-01-01

    Full Text Available The article analyses factors of influence upon investment attractiveness of a public joint stock company, which are factors by the sphere of origin. The article identifies the degree and direction of influence of the factors by the sphere of origin upon investment attractiveness of a public joint stock company; factors are divided into two groups, which could be regulated directly by society and which cannot be regulated. It justifies the necessity of modelling investment attractiveness of a public joint stock company under influence of the factors with the aim of managerial decision making of two groups of stakeholders: owners and managers, shareholders and investors. It conducts modelling of investment attractiveness of a public joint stock company using the decision tree method. It develops a decision matrix, on the basis of which the owners, managers, shareholders and investors can make decisions regarding directions of increase of investment attractiveness of a public joint stock company and expediency of initial or further investing into society development.

  14. A Model Career Decision-Making Course

    Science.gov (United States)

    Dwight, Alice Heasley

    1975-01-01

    Essex Community College (Maryland) has instituted a one-credit course in career decision-making. The course is designed to aid the college student and the older adult in making a career-oriented assessment of personality needs, capacities, interests, and values with additional emphasis on local and national manpower needs. (Author/DC)

  15. Decision support modeling for milk valorization

    NARCIS (Netherlands)

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating

  16. Decision support modeling for milk valorization

    NARCIS (Netherlands)

    Banaszewska, A.

    2014-01-01

    The research presented in this thesis concerns decision problems in practice that require structured, precise, scientific studies to provide strong, reliable answers. An opportunity to contribute to both practice and science emerged in 2008 when two large, Dutch dairy companies merged, creating

  17. Conceptual models and sustainable groundwater resource indicators as transfer tools to stakeholders of the Lake Champlain transboundary aquifer

    Science.gov (United States)

    Lefebvre, René; Rivard, Christine; Carrier, Marc-André; Parent, Michel; Laurencelle, Marc; Beaudry, Châtelaine; Martin, Alex; Bleser, Joshua; Lavoie, Roxane; Bourque, Édith; Ouellet, Michel

    2016-04-01

    Regional aquifer assessments produce a wealth of scientific and technical information that is essential for the sound management of groundwater resources. However, regional water stakeholders are not generally groundwater specialists and cannot be expected to readily handle specialized hydrogeological maps and data. Without efficient information transfer, groundwater resources cannot be adequately considered in water governance by watershed organizations and in land-use planning by regional municipalities. This presentation provides an overview of the efforts undertaken to transfer information as part of a four-year regional aquifer assessment in the transboundary Canada-USA Champlain Lake watershed, with an emphasis on the southern Quebec part. This project was part of both the provincial aquifer assessment program (Programme d'acquisition des connaissances sur les eaux souterraines, PACES) of the Quebec Environment Ministry and the National inventory of regional key aquifers of Natural Resources Canada. In Quebec, the study area extends over 9 000 km2 and includes three major watersheds and 106 municipalities with 792 000 inhabitants. Five distinct hydrogeological contexts were defined based on bedrock geology and hydrogeological conditions: St. Lawrence Lowlands (North and South), Appalachian Piedmont, Appalachian Uplands, and Monteregian Hills. Extensive fieldwork filled knowledge and spatial data gaps identified during the compilation of existing data. To illustrate hydrogeological contexts, two conceptual models of different areas were developed. These conceptual models reflect three aspects of aquifer conditions: geological context, groundwater dynamics and groundwater quality. The first representation of the conceptual model presents the geological context including typical surficial geology units as well as major bedrock geology units (including faults and dykes). The second representation shows schematic groundwater flow paths, relative well yields of

  18. Hierarchical decision modeling essays in honor of Dundar F. Kocaoglu

    CERN Document Server

    2016-01-01

    This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into four parts: Technology Assessment, Strategic Planning, National Technology Planning and Decision Making Tools. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics rese...

  19. A multicriteria decision analysis model and risk assessment framework for carbon capture and storage.

    Science.gov (United States)

    Humphries Choptiany, John Michael; Pelot, Ronald

    2014-09-01

    Multicriteria decision analysis (MCDA) has been applied to various energy problems to incorporate a variety of qualitative and quantitative criteria, usually spanning environmental, social, engineering, and economic fields. MCDA and associated methods such as life-cycle assessments and cost-benefit analysis can also include risk analysis to address uncertainties in criteria estimates. One technology now being assessed to help mitigate climate change is carbon capture and storage (CCS). CCS is a new process that captures CO2 emissions from fossil-fueled power plants and injects them into geological reservoirs for storage. It presents a unique challenge to decisionmakers (DMs) due to its technical complexity, range of environmental, social, and economic impacts, variety of stakeholders, and long time spans. The authors have developed a risk assessment model using a MCDA approach for CCS decisions such as selecting between CO2 storage locations and choosing among different mitigation actions for reducing risks. The model includes uncertainty measures for several factors, utility curve representations of all variables, Monte Carlo simulation, and sensitivity analysis. This article uses a CCS scenario example to demonstrate the development and application of the model based on data derived from published articles and publicly available sources. The model allows high-level DMs to better understand project risks and the tradeoffs inherent in modern, complex energy decisions. © 2014 Society for Risk Analysis.

  20. Developing policy analytics for public health strategy and decisions-the Sheffield alcohol policy model framework.

    Science.gov (United States)

    Brennan, Alan; Meier, Petra; Purshouse, Robin; Rafia, Rachid; Meng, Yang; Hill-Macmanus, Daniel

    This paper sets out the development of a methodological framework for detailed evaluation of public health strategies for alcohol harm reduction to meet UK policy-makers needs. Alcohol is known to cause substantial harms, and controlling its affordability and availability are effective policy options. Analysis and synthesis of a variety of public and commercial data sources is needed to evaluate impact on consumers, health services, crime, employers and industry, so a sound evaluation of impact is important. We discuss the iterative process to engage with stakeholders, identify evidence/data and develop analytic approaches and produce a final model structure. We set out a series of steps in modelling impact including: classification and definition of population subgroups of interest, identification and definition of harms and outcomes for inclusion, classification of modifiable components of risk and their baseline values, specification of the baseline position on policy variables especially prices, estimating effects of changing policy variables on risk factors including price elasticities, quantifying risk functions relating risk factors to harms including 47 health conditions, crimes, absenteeism and unemployment, and monetary valuation. The most difficult model structuring decisions are described, as well as the final results framework used to provide decision support to national level policymakers in the UK. In the discussion we explore issues around the relationship between modelling and policy debates, valuation and scope, limitations of evidence/data, how the framework can be adapted to other countries and decisions. We reflect on the approach taken and outline ongoing plans for further development.

  1. The development of the model for recognition of prior learning for nurses in South Africa: development of RPL guidelines by the policy makers and stakeholders of nursing.

    Science.gov (United States)

    Khanyile, T

    2005-11-01

    The National Qualifications Framework (NQF) was established to address the compartmentalization of education and training, the absence of norms and standards and the need for international recognition. According to the South African Qualifications Authority (1996),this framework was aimed at developing a comprehensive qualifications structure and an integrated approach to education and training in the country (NCHE, 1996:46). Educational institutions, including those for nursing, were challenged with a view to rethink the whole culture of teaching and learning and was counted as knowledge. The major principle of the NQF was the Recognition of Prior Learning (RPL), which had to be persued across all sectors (Musker, 1998: 8). RPL was seen as a means to widen access into learning programs for those who had been historically denied this. The challenge for educational institutions was how to ensure that RPL systems once implemented did not compromise academic standards. Research into methodologies to implement the NF in the absence of mechanisms was then essential. The purpose of the study was to develop and test a RPL model for nurses in South Africa. The study adopted a multi phase decisions-oriented evaluation research design. Stuffelbeam's educational evaluation model was used to guide data collection and analysis. The research questions were incorporated under the different phases of evaluation. The model was development at six levels: level one was at the policy makers level; level two was at the stakeholders; levels three to six were at institutional level where three institutions participated at pilot site for the RPL model development. These levels are presented as tiers in the figure 1. This article present the results of the model development at the first two levels, which according to Stuffelbeam's model is the context evaluation for boundary setting. Part two will present the model development at institutional level, involving the input and process

  2. Dissolving decision making? Models and their roles in decision-making processes and policy at large.

    Science.gov (United States)

    Zeiss, Ragna; van Egmond, Stans

    2014-12-01

    This article studies the roles three science-based models play in Dutch policy and decision making processes. Key is the interaction between model construction and environment. Their political and scientific environments form contexts that shape the roles of models in policy decision making. Attention is paid to three aspects of the wider context of the models: a) the history of the construction process; b) (changes in) the political and scientific environments; and c) the use in policy processes over longer periods of time. Models are more successfully used when they are constructed in a stable political and scientific environment. Stability and certainty within a scientific field seems to be a key predictor for the usefulness of models for policy making. The economic model is more disputed than the ecology-based model and the model that has its theoretical foundation in physics and chemistry. The roles models play in policy processes are too complex to be considered as straightforward technocratic powers.

  3. Venture Theory: A Model of Decision Weights.

    Science.gov (United States)

    1988-01-01

    are cautious rather than reckless when taking decisions under uncertainty (see, e.g., the literature on "defensive pessimism," Norem & Cantor, 1986a...optimism continuum ( Norem & Cantor, 1986a; 1986b). Indeed, as demonstrated by Schneider and Lopes (1986) ( see also Lopes, 1987), when subjects are...1956). Stability of choices among uncertain alternatives. American Journal of - Psychology, 69, 604-615. "- Norem , J. K., & Cantor, N. (1986a

  4. Decision tree modeling with relational views

    OpenAIRE

    Bentayeb, Fadila; Darmont, Jérôme

    2007-01-01

    International audience; Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to apply various mining algorithms efficiently on large databases. However, a serious problem in their practical application is the long processing time of such algorithms. Nowadays, one of the key challenges is to integrate data mining methods within the framework of traditional database systems. In...

  5. How Stakeholder Co-management Reproduces Conservation Conflicts: Revealing Rationality Problems in Swedish Wolf Conservation

    Directory of Open Access Journals (Sweden)

    Erica von Essen

    2015-01-01

    Full Text Available 'Stakeholder' has become the primary category of political actor in decision-making, not least within nature conservation. Drawing from Habermas' theory on communicative action, this article argues that there are democratic deficits to the stakeholder model that promote citizens to remain locked in predetermined, polarized positions. It contends that the stakeholder model must, hence, be scrutinized with respect to its potential role in perpetuating conservation conflicts in modernity. Using the case study of stakeholder-based game management delegations (GMDs in Sweden, our research identifies four barriers, which tie to the instrumental basis and liberal democratic legacy of the stakeholder approach: 1 strong sense of accountability; 2 overly purposive atmosphere; 3 overemphasis on decision as final outcome; and 4 perceived inability on the part of the delegates to influence science-led decision-making. The article suggests that these democratic deficits preclude the deliberation and contestation necessary to legitimate conservation policy. Indeed, stakeholder rationality causes citizens to become inert, instrumental agents who approach discussion with strategic rather than communicative rationality. We conclude that the deficits of the stakeholder model currently: 1 restrict democratic freedom for citizens; 2 engender a crisis of legitimacy of management; and 3 reproduce the conflict, which in Sweden relates to the conservation of wolves.

  6. Models of Affective Decision Making: How Do Feelings Predict Choice?

    Science.gov (United States)

    Charpentier, Caroline J; De Neve, Jan-Emmanuel; Li, Xinyi; Roiser, Jonathan P; Sharot, Tali

    2016-06-01

    Intuitively, how you feel about potential outcomes will determine your decisions. Indeed, an implicit assumption in one of the most influential theories in psychology, prospect theory, is that feelings govern choice. Surprisingly, however, very little is known about the rules by which feelings are transformed into decisions. Here, we specified a computational model that used feelings to predict choices. We found that this model predicted choice better than existing value-based models, showing a unique contribution of feelings to decisions, over and above value. Similar to the value function in prospect theory, our feeling function showed diminished sensitivity to outcomes as value increased. However, loss aversion in choice was explained by an asymmetry in how feelings about losses and gains were weighted when making a decision, not by an asymmetry in the feelings themselves. The results provide new insights into how feelings are utilized to reach a decision. © The Author(s) 2016.

  7. Identification of reverse logistics decision types from mathematical models

    Directory of Open Access Journals (Sweden)

    Pascual Cortés Pellicer

    2018-04-01

    Full Text Available Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired “green” image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL. At the time when incorporate new RL processes as key business processes, new and important decisions need to be made. Identification and knowledge of these decisions, including the information available and the implications for the company or supply chain, will be fundamental for decision-makers to achieve the best results. In the present work, the main types of RL decisions are identified. Design/methodology/approach: This paper is based on the analysis of mathematical models designed as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are defined, those studies that really deal about the object of study are searched and analyzed. The decision variables that are taken at work are identified and grouped according to the type of decision and, finally, are showed the main types of decisions used in mathematical models developed in the field of RL.     Findings: The principal conclusion of the research is that the most commonly addressed decisions with mathematical models in the field of RL are those related to the network’s configuration, followed by tactical/operative decisions such as the selections of product’s treatments to realize and the policy of returns or prices, among other decisions. Originality/value: The identification of the main decisions types of the reverse logistics will allow the managers of these processes to know and understand them better, while offer an integrated vision of them, favoring the achievement of better results.

  8. A diffusion decision model analysis of evidence variability in the lexical decision task.

    Science.gov (United States)

    Tillman, Gabriel; Osth, Adam F; van Ravenzwaaij, Don; Heathcote, Andrew

    2017-12-01

    The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159-182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM-LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332-367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM-LD's predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.

  9. Review of models and actors in energy mix optimization – can leader visions and decisions align with optimum model strategies for our future energy systems?

    NARCIS (Netherlands)

    Weijermars, R.; Taylor, P.; Bahn, O.; Das, S.R.; Wei, Y.M.

    2011-01-01

    Organizational behavior and stakeholder processes continually influence energy strategy choices and decisions. Although theoretical optimizations can provide guidance for energy mix decisions from a pure physical systems engineering point of view, these solutions might not be optimal from a

  10. Medical Specialty Decision Model: Utilizing Social Cognitive Career Theory

    Science.gov (United States)

    Gibson, Denise D.; Borges, Nicole J.

    2004-01-01

    Objectives: The purpose of this study was to develop a working model to explain medical specialty decision-making. Using Social Cognitive Career Theory, we examined personality, medical specialty preferences, job satisfaction, and expectations about specialty choice to create a conceptual framework to guide specialty choice decision-making.…

  11. Ethnographic Decision Tree Modeling: A Research Method for Counseling Psychology.

    Science.gov (United States)

    Beck, Kirk A.

    2005-01-01

    This article describes ethnographic decision tree modeling (EDTM; C. H. Gladwin, 1989) as a mixed method design appropriate for counseling psychology research. EDTM is introduced and located within a postpositivist research paradigm. Decision theory that informs EDTM is reviewed, and the 2 phases of EDTM are highlighted. The 1st phase, model…

  12. A decision-making model for engineering designers

    DEFF Research Database (Denmark)

    Ahmed, S.; Hansen, Claus Thorp

    2002-01-01

    This paper describes research that combines the generic decision-making model of Hansen, together with design strategies employed by experienced engineering designers. The relationship between the six decision-making sub-activities and the eight design strategies are examined. By combining...

  13. A quantitative risk model for early lifecycle decision making

    Science.gov (United States)

    Feather, M. S.; Cornford, S. L.; Dunphy, J.; Hicks, K.

    2002-01-01

    Decisions made in the earliest phases of system development have the most leverage to influence the success of the entire development effort, and yet must be made when information is incomplete and uncertain. We have developed a scalable cost-benefit model to support this critical phase of early-lifecycle decision-making.

  14. Positioning Model-Supported, Participatory, Water Management Decision Making under Uncertainty within the Western Philosphical Discourse on Knowledge and Governance

    Science.gov (United States)

    Purkey, D. R.; Escobar, M.; Mehta, V. K.; Forni, L.

    2016-12-01

    Two important trends currently shape the manner in which water resources planning and decision making occurs. The first relates to the increasing reliance on participatory stakeholder processes as a forum for evaluating water management options and selecting the appropriate course of action. The second relates to the growing recognition that earlier deterministic approaches to this evaluation of options may no longer be appropriate, nor required. The convergence of these two trends poses questions as to the proper role of data, information, analysis and expertise in the inherently social and political process of negotiating water resources management agreements and implementing water resources management interventions. The question of how to discover the best or optimal option in the face of deep uncertainty related to climate change, demography, economic development, and regulatory reform is compelling. More fundamentally the question of whether the "perfect" option even exits to be discovered is perhaps more critical. While this existential question may be new to the water resource management community, it is not new to western political theory. This paper explores early classical philosophical writing related to issues of knowledge and governance as captured in the work of Plato and Aristotle; and then attempts to place a new approach to analysis-supported, stakeholder-driven water resources planning and decision making within this philosophical discourse. Using examples from river systems in California and the Andes, where the theory of Robust Decision Making has been used as an organizing construct for stakeholder processes, it is argued that the expectation that analysis will lead to the discovery of the perfect option is not warranted when stakeholders are engaged in the process of discovering a consensus option. This argument will touch upon issue of the diversity of values, model uncertainty and creditability, and the visualization of model output required

  15. A spiral model of musical decision-making

    Directory of Open Access Journals (Sweden)

    Daniel eBangert

    2014-04-01

    Full Text Available This paper describes a model of how musicians make decisions about performing notated music. The model builds on psychological theories of decision-making and was developed from empirical studies of Western art music performance that aimed to identify intuitive and deliberate processes of decision-making, a distinction consistent with dual-process theories of cognition. The model proposes that the proportion of intuitive (Type 1 and deliberate (Type 2 decision-making processes changes with increasing expertise and conceptualises this change as movement along a continually narrowing upward spiral where the primary axis signifies principal decision-making type and the vertical axis marks level of expertise. The model is intended to have implications for the development of expertise as described in two main phases. The first is movement from a primarily intuitive approach in the early stages of learning towards greater deliberation as analytical techniques are applied during practice. The second phase occurs as deliberate decisions gradually become automatic (procedural, increasing the role of intuitive processes. As a performer examines more issues or reconsiders decisions, the spiral motion towards the deliberate side and back to the intuitive is repeated indefinitely. With increasing expertise, the spiral tightens to signify greater control over decision type selection. The model draws on existing theories, particularly Evans’ (2011 Intervention Model of dual-process theories, Cognitive Continuum Theory (Hammond et al., 1987; Hammond, 2007, and Baylor’s (2001 U-shaped model for the development of intuition by level of expertise. By theorising how musical decision-making operates over time and with increasing expertise, this model could be used as a framework for future research in music performance studies and performance science more generally.

  16. Evaluation of Stakeholder-Driven Groundwater Management through Integrated Modeling and Remote Sensing in the US High Plains Aquifer

    Science.gov (United States)

    Deines, J. M.; Kendall, A. D.; Butler, J. J., Jr.; Hyndman, D. W.

    2017-12-01

    Irrigation greatly enhances agricultural yields and stabilizes farmer incomes, but overexploitation of water resources has depleted groundwater aquifers around the globe. In much of the High Plains Aquifer (HPA) in the United States, water-level declines threaten the continued viability of agricultural operations reliant on irrigation. Policy and management institutions to address this sustainability challenge differ widely across the HPA and the world. In Kansas, grassroots-driven legislation in 2012 allowed local stakeholder groups to establish Local Enhanced Management Areas (LEMAs) and work with state officials to generate enforceable and monitored water use reduction programs. The pioneering LEMA was formed in 2013, following a popular vote by farmers within a 256 km2 region in northwestern Kansas. The group sought to reduce groundwater pumping by 20% through 2017 in order to stabilize water levels while minimally reducing crop productivity. Initial statistical estimates indicate the LEMA has been successful; planning is underway to extend it for five years (2018-2022) and to implement additional LEMAs in the wider groundwater management district. Here, we assess the efficacy of this first LEMA with coupled crop-hydrology models to quantify water budget impacts and any associated trade-offs in crop productivity. We drive these models with a novel data fusion of water use data and our recent remotely sensed Annual Irrigation Maps (AIM) dataset, allowing detailed tracking of irrigation water in space and time. Results from these process-based models provide detailed insights into changes in the physical system resulting from the LEMA program that can inform future stakeholder-driven management in Kansas and in stressed aquifers around the world.

  17. Integrating Design Decision Management with Model-based Software Development

    DEFF Research Database (Denmark)

    Könemann, Patrick

    Design decisions are continuously made during the development of software systems and are important artifacts for design documentation. Dedicated decision management systems are often used to capture such design knowledge. Most such systems are, however, separated from the design artifacts...... of the system. In model-based software development, where design models are used to develop a software system, outcomes of many design decisions have big impact on design models. The realization of design decisions is often manual and tedious work on design models. Moreover, keeping design models consistent......, or by ignoring the causes. This substitutes manual reviews to some extent. The concepts, implemented in a tool, have been validated with design patterns, refactorings, and domain level tests that comprise a replay of a real project. This proves the applicability of the solution to realistic examples...

  18. The role of business intelligence in decision process modeling

    Directory of Open Access Journals (Sweden)

    Višnja Istrat

    2015-10-01

    Full Text Available Decision making is a very significant and complex function of management that requires methods and techniques that simplify the process of choosing the best alternative. In modern business, the challenge for managers is to find the alternatives for improving the decision-making process. Decisions directly affect profit generation and positioning of the company in the market. It is well-known that people dealt with the phenomenon of decision making in each phase of the development of society, which has triggered the need to learn more about this process. The main contribution of this paper is to show the significance of business intelligence tools and techniques as support to the decision making process of managers. Research results have shown that business intelligence plays an enormous role in modern decision process modeling.

  19. Early engagement of stakeholders with individual-based modelling can inform research for improving invasive species management: the round goby as a case study

    DEFF Research Database (Denmark)

    Samson, Emma; Hirsch, Philipp E.; Palmer, Stephen C.

    2017-01-01

    that subsequent models can provide robust insight into potential management interventions. The round goby, Neogobius melanostomus, is currently spreading through the Baltic Sea, with major negative effects being reported in the wake of its invasion. Together with stakeholders, we parameterize an IBM...... to investigate the goby's potential spread pattern throughout the Gulf of Gdansk and the Baltic Sea. Model parameters were assigned by integrating information obtained through stakeholder interaction, from scientific literature, or estimated using an inverse modeling approach when not available. IBMs can provide...... valuable direction to research on invasive species even when there is limited data and/or time available to parameterize/fit them to the degree to which we might aspire in an ideal world. Co-development of models with stakeholders can be used to recognize important invasion patterns, in addition...

  20. Coupling of a distributed stakeholder-built system dynamics socio-economic model with SAHYSMOD for sustainable soil salinity management - Part 1: Model development

    Science.gov (United States)

    Inam, Azhar; Adamowski, Jan; Prasher, Shiv; Halbe, Johannes; Malard, Julien; Albano, Raffaele

    2017-08-01

    Effective policies, leading to sustainable management solutions for land and water resources, require a full understanding of interactions between socio-economic and physical processes. However, the complex nature of these interactions, combined with limited stakeholder engagement, hinders the incorporation of socio-economic components into physical models. The present study addresses this challenge by integrating the physical Spatial Agro Hydro Salinity Model (SAHYSMOD) with a participatory group-built system dynamics model (GBSDM) that includes socio-economic factors. A stepwise process to quantify the GBSDM is presented, along with governing equations and model assumptions. Sub-modules of the GBSDM, describing agricultural, economic, water and farm management factors, are linked together with feedbacks and finally coupled with the physically based SAHYSMOD model through commonly used tools (i.e., MS Excel and a Python script). The overall integrated model (GBSDM-SAHYSMOD) can be used to help facilitate the role of stakeholders with limited expertise and resources in model and policy development and implementation. Following the development of the integrated model, a testing methodology was used to validate the structure and behavior of the integrated model. Model robustness under different operating conditions was also assessed. The model structure was able to produce anticipated real behaviours under the tested scenarios, from which it can be concluded that the formulated structures generate the right behaviour for the right reasons.

  1. Data-driven Modelling for decision making under uncertainty

    Science.gov (United States)

    Angria S, Layla; Dwi Sari, Yunita; Zarlis, Muhammad; Tulus

    2018-01-01

    The rise of the issues with the uncertainty of decision making has become a very warm conversation in operation research. Many models have been presented, one of which is with data-driven modelling (DDM). The purpose of this paper is to extract and recognize patterns in data, and find the best model in decision-making problem under uncertainty by using data-driven modeling approach with linear programming, linear and nonlinear differential equation, bayesian approach. Model criteria tested to determine the smallest error, and it will be the best model that can be used.

  2. Stakeholder confidence and radioactive waste disposal

    International Nuclear Information System (INIS)

    2000-01-01

    Any significant decisions regarding geologic disposal of radioactive waste will need a comprehensive public review and a thorough involvement of all relevant stakeholders, such as waste generators, waste management agencies, regulatory authorities, local communities and elected officials. The participation of non-technical stakeholders will become increasingly important as more countries move towards siting and implementing geologic repositories. The decision-making process and avenues for stakeholder involvement differ from country to country. It is important to identify similarities and differences, understand the key concerns of the various stakeholders, and develop means to interact effectively. The Nuclear Energy Agency recently set up a Forum on Stakeholder Confidence charged with distilling the lessons that can be learnt from national and international experience. These proceedings of the Forums first workshop held in August 2000 provide an overview of OECD countries' experience in the field of stakeholder confidence and radioactive waste disposal. (author)

  3. A Decision Support Model and Tool to Assist Financial Decision-Making in Universities

    Science.gov (United States)

    Bhayat, Imtiaz; Manuguerra, Maurizio; Baldock, Clive

    2015-01-01

    In this paper, a model and tool is proposed to assist universities and other mission-based organisations to ascertain systematically the optimal portfolio of projects, in any year, meeting the organisations risk tolerances and available funds. The model and tool presented build on previous work on university operations and decision support systems…

  4. The Perception of a Three-Dimensional-Printed Heart Model from the Perspective of Different Stakeholders: A Complex Case of Truncus Arteriosus

    Directory of Open Access Journals (Sweden)

    Giovanni Biglino

    2017-09-01

    Full Text Available The case of an 11-year-old male patient with truncus arteriosus is presented. The patient has a right aortic arch, a repaired truncus arteriosus, pulmonary artery stenosis, as well as conduit stenosis, with a complex surgical plan being discussed. In order to gather additional insight into the patient’s anatomy prior to the surgery and to facilitate communication with the patient’s parents, a three-dimensional (3D model of his heart and main vessels was created from computed tomography data. Feedback was collected from different stakeholders. The patient and his parents were both struck by the size of the heart, with the parents further elaborating on how the 3D model was more intuitive a tool than medical images as well as “an helpful talking point to the other members of the family” and potentially also at school. The surgeon and cardiologist commented on gaining better understanding of the 3D relationship between a markedly narrowed right pulmonary artery and the aorta, with the surgeon ultimately coming to a decision of dividing the ascending aorta quite high to access the right pulmonary artery for patch reconstruction and thus planning to arrest the circulation beforehand. The imaging expert remarked on the potential to “improve communication in multidisciplinary meetings,” while a medical trainee, who also had a chance to evaluate the model, remarked that “having the model in front of me and being able to see the exact abnormality makes this particular case much more memorable. […] 3D printed models could have immense potential in pathology and anatomy teaching for the training of healthcare professionals.”

  5. Social influence and perceptual decision making: a diffusion model analysis.

    Science.gov (United States)

    Germar, Markus; Schlemmer, Alexander; Krug, Kristine; Voss, Andreas; Mojzisch, Andreas

    2014-02-01

    Classic studies on social influence used simple perceptual decision-making tasks to examine how the opinions of others change individuals' judgments. Since then, one of the most fundamental questions in social psychology has been whether social influence can alter basic perceptual processes. To address this issue, we used a diffusion model analysis. Diffusion models provide a stochastic approach for separating the cognitive processes underlying speeded binary decisions. Following this approach, our study is the first to disentangle whether social influence on decision making is due to altering the uptake of available sensory information or due to shifting the decision criteria. In two experiments, we found consistent evidence for the idea that social influence alters the uptake of available sensory evidence. By contrast, participants did not adjust their decision criteria.

  6. Models of sequential decision making in consumer lending

    Directory of Open Access Journals (Sweden)

    Kanshukan Rajaratnam

    2016-11-01

    Full Text Available Abstract In this paper, we introduce models of sequential decision making in consumer lending. From the definition of adverse selection in static lending models, we show that homogenous borrowers take-up offers at different instances of time when faced with a sequence of loan offers. We postulate that bounded rationality and diverse decision heuristics used by consumers drive the decisions they make about credit offers. Under that postulate, we show how observation of early decisions in a sequence can be informative about later decisions and can, when coupled with a type of adverse selection, also inform credit risk. We show through two examples how lenders may use such information in setting their offer rates.

  7. Analysis of Interactions of Key Stakeholders on B2C e-Markets - Agent Based Modelling and Simulation Approach

    OpenAIRE

    Marković Aleksandar; Čavoški Sava; Novović Andrej

    2016-01-01

    Background/purpose: This paper discusses the application of ABMS - agent-based modelling and simulation in the analysis of customer behaviour on B2C e-commerce websites as well as in the analysis of various business decisions upon the effects of on-line sales. The continuous development and dynamics in the field of e-commerce requires application of advanced decision-making tools. These tools must be able to process, in a short time period, a large amount of data generated by the e-commerce s...

  8. 2nd FSC Workshop - Executive Summary and International Perspective, Stakeholder Involvement and Confidence in the Process of Decision-making for the Disposal of Spent Nuclear Fuel in Finland, 15-16 November 2001, Turku, Finland

    International Nuclear Information System (INIS)

    2002-01-01

    The 2. FSC workshop examined 'Stakeholder Involvement and Confidence in the Process of Decision-making for the Disposal of Spent Nuclear Fuel in Finland'. By gathering Finnish Stakeholders, those who expressed favour and opposition, as well as observer-participants from the other NEA/FSC countries, a joint reflection on a complex reality was achieved from which general conclusions can also be drawn concerning stakeholder involvement in the long-term management of radioactive waste. This Executive Summary gives an overview of the presentations and discussions that took place at the workshop. It presents, for the most part, a factual account of the individual presentations and of the discussions that took place. It relies importantly on the notes that were taken at the meeting. Most materials are elaborated upon in a fuller way in the texts that the various speakers and session moderators contributed for these proceedings. The structure of the Executive Summary follows the structure of the workshop itself. Complementary to this Executive Summary and also provided with this document, is a NEA Secretariat's perspective aiming to place the results of all discussions, feedback and site visit into an international perspective

  9. Optimization for decision making linear and quadratic models

    CERN Document Server

    Murty, Katta G

    2010-01-01

    While maintaining the rigorous linear programming instruction required, Murty's new book is unique in its focus on developing modeling skills to support valid decision-making for complex real world problems, and includes solutions to brand new algorithms.

  10. Spreadsheet Decision Support Model for Training Exercise Material Requirements Planning

    National Research Council Canada - National Science Library

    Tringali, Arthur

    1997-01-01

    This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company commanders in determining the material requirements and estimated costs...

  11. Stakeholders and Radiation Protection in Today's World

    International Nuclear Information System (INIS)

    Rick Jones, C.; Lochard, J.; Lazo, T.

    2006-01-01

    In looking forward the C.R.P.P.H.(Nea 's Committee on radiation protection and public health) identified three influences that will condition the way we address emerging issues, and will alter how we address ongoing issues. These are the involvement of stakeholders in decision making processes, the evolution of radiological protection science and its changing place in risk assessment and management, and the experience gained in implementing the current system of radiological protection. First among there is the growing importance of stakeholder involvement in radiation protection decision making. This has affected the way that the principles of justification, optimization and limitation are viewed, the way the role of the radiation protection professional in risk assessment and management is viewed, and the relative importance of case specific circumstances in relation to harmonized, internationally accepted criteria. In the wake of this change, the international system of radiological protection is being updated by the ICRP, and discussions of the most appropriate direction to take are nearing their end. Second, radiological protection science continues to identify specific aspects that do not fit the conventional linear non threshold model, and which us to consider that, at the very least, the risks from different exposures and exposure situations may not be as simply and universally comparable assumed. This will affect the way that risks are managed, and all relevant stakeholder involvement processes. In addition, decisions relating to public, worker and environmental health and safety are increasingly seen as judgement social choices. Although such choices must be guided by an understanding of state-of-the-art scientific and its uncertainties, the final, choice will generally be made by society, not scientists. Third, since the issuance of ICRP Publication 60 in 1990, and the International Basic Safety Standards in 1996, extensive experience has been amassed in

  12. Stakeholder involvement in CSR strategy-making?

    DEFF Research Database (Denmark)

    Trapp, Leila

    2014-01-01

    listening to others in the strategy-making process rather than directly involving others in decision-making. Also, because non-stakeholders, such as paid-for consultants, are found to be note-worthy influencers in the CSR strategy-making process, it is concluded that the process is not only a stakeholder......A given characteristic of successful corporate social responsibility (CSR) programs is that they reflect stakeholder expectations and preferences for corporate behavior. This study examines the process by which this alignment is sought by CSR managers in the CSR strategy-making process. Through...... reliance on stakeholder management theories, and with a particular focus on how and why managers communicate with stakeholders, the extent to which the company-stakeholder alignment process in CSR strategy-making reflects modern, enlightened approaches to stakeholder relations is assessed. This assessment...

  13. Learning Markov Decision Processes for Model Checking

    DEFF Research Database (Denmark)

    Mao, Hua; Chen, Yingke; Jaeger, Manfred

    2012-01-01

    Constructing an accurate system model for formal model verification can be both resource demanding and time-consuming. To alleviate this shortcoming, algorithms have been proposed for automatically learning system models based on observed system behaviors. In this paper we extend the algorithm...... is performed by analyzing the probabilistic linear temporal logic properties of the system as well as by analyzing the schedulers, in particular the optimal schedulers, induced by the learned models....

  14. River flow modelling using fuzzy decision trees

    NARCIS (Netherlands)

    Han, D.; Cluckie, I. D.; Karbassioun, D.; Lawry, J.; Krauskopf, B.

    2002-01-01

    A modern real time flood forecasting system requires its mathematical model(s) to handle highly complex rainfall runoff processes. Uncertainty in real time flood forecasting will involve a variety of components such as measurement noise from telemetry systems, inadequacy of the models, insufficiency

  15. Multi-level decision making models, methods and applications

    CERN Document Server

    Zhang, Guangquan; Gao, Ya

    2015-01-01

    This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.  

  16. A neural model of decision making

    DEFF Research Database (Denmark)

    Larsen, Torben

    2008-01-01

    derivative with respect to RAS:   (S1)     L = d(PC*D)/dRAS   3.1.3 Cognition (L3) Semantic memory recall in superior temporal sulcus (R) The Semantic Recollection (R) as associated with activity in the primary auditory cortex (Superior Temporal Sulcus, STS) is measured by theta-activity (Φ) in the EEG (in...... such as fairness, trust, altruism, memory, learning and knowledge. The goal of neuroeconomics is stated as to provide a descriptive decision-making theory, which is not restricted to economic theory and more realistic than that of economic man.    Reviewing how neuroscience can inform economics [Camerer et al....... The role of Hippocampus in the formation of episodic or autobiographical memories is unquestioned (M). A newer line of Hippocampal research focuses the branching between ‘familiar' and ‘novel' sensory input. ‘Novel'-perceptions arising from mismatch with existing memories mobilizes the basal flight...

  17. Validating management simulation models and implications for communicating results to stakeholders

    NARCIS (Netherlands)

    Pastoors, M.A.; Poos, J.J.; Kraak, S.B.M.; Machiels, M.A.M.

    2007-01-01

    Simulations of management plans generally aim to demonstrate the robustness of the plans to assumptions about population dynamics and fleet dynamics. Such modelling is characterized by specification of an operating model (OM) representing the underlying truth and a management procedure that mimics

  18. Using ASCEM Modeling and Visualization to Inform Stakeholders of Contaminant Plume Evolution and Remediation Efficacy at F-Basin Savannah River, SC – 15156

    Energy Technology Data Exchange (ETDEWEB)

    Flach, G. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wainwright, H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Molins, S. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Davis, J. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Arora, B. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Faybishenko, B. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Krishnan, H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hubbard, S. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Flach, G. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Denham, M. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Eddy-Dilek, C. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Moulton, D. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Lipnikov, K. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Gable, C. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Miller, T. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Freshley, M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2015-01-28

    Communication with stakeholders, regulatory agencies, and the public is an essential part of implementing different remediation and monitoring activities, and developing site closure strategies at contaminated sites. Modeling of contaminant plume evolution plays a critical role in estimating the benefit, cost, and risk of particular options. At the same time, effective visualization of monitoring data and modeling results are particularly important for conveying the significance of the results and observations. In this paper, we present the results of the Advanced Simulation Capability for Environmental Management (ASCEM) project, including the discussion of the capabilities of newly developed ASCEM software package, along with its application to the F-Area Seepage Basins located in the U.S. Department of Energy Savannah River Site (SRS). ASCEM software includes state-of-the-art numerical methods for simulating complex flow and reactive transport, as well as various toolsets such as a graphical user interface (GUI), visualization, data management, uncertainty quantification, and parameter estimation. Using this software, we have developed an advanced visualization of tritium plume migration coupled with a data management system, and simulated a three-dimensional model of flow and plume evolution on a high-performance computing platform. We evaluated the effect of engineered flow barriers on a nonreactive tritium plume, through advanced plume visualization and modeling of tritium plume migration. In addition, we developed a geochemical reaction network to describe complex geochemical processes at the site, and evaluated the impact of coupled hydrological and geochemical heterogeneity. These results are expected to support SRS’s monitoring activities and operational decisions.

  19. Integrating Environmental and Stakeholder Management

    DEFF Research Database (Denmark)

    Madsen, Henning; Ulhøi, John Parm

    2001-01-01

    relationships with various stakeholders, companies need to be able to identify these stakeholders and assess their influence. The first part of this paper will discuss the relevant theory and introduce a model to analyse and identify the most significant stakeholder groups and their influence on corporate...... behaviour. Based on a recent survey of Danish compa-nies, the second part of the paper will report on the success of a variety of stakeholders in forc-ing companies to introduce environment-related initiatives. The results will then be discussed in light of the theory and other reported results. The paper......Regulation has been an important instrument in pushing the business community towards im-proved environmental performance. However, there has also been increasing pressure from a growing number of stakeholders, including employees, customers, neighbours and NGOs, etc. In order to improve corporate...

  20. Coupling of a distributed stakeholder-built system dynamics socio-economic model with SAHYSMOD for sustainable soil salinity management. Part 2: Model coupling and application

    Science.gov (United States)

    Inam, Azhar; Adamowski, Jan; Prasher, Shiv; Halbe, Johannes; Malard, Julien; Albano, Raffaele

    2017-08-01

    Many simulation models focus on simulating a single physical process and do not constitute balanced representations of the physical, social and economic components of a system. The present study addresses this challenge by integrating a physical (P) model (SAHYSMOD) with a group (stakeholder) built system dynamics model (GBSDM) through a component modeling approach based on widely applied tools such as MS Excel, Python and Visual Basic for Applications (VBA). The coupled model (P-GBSDM) was applied to test soil salinity management scenarios (proposed by stakeholders) for the Haveli region of the Rechna Doab Basin in Pakistan. Scenarios such as water banking, vertical drainage, canal lining, and irrigation water reallocation were simulated with the integrated model. Spatiotemporal maps and economic and environmental trade-off criteria were used to examine the effectiveness of the selected management scenarios. After 20 years of simulation, canal lining reduced soil salinity by 22% but caused an initial reduction of 18% in farm income, which requires an initial investment from the government. The government-sponsored Salinity Control and Reclamation Project (SCARP) is a short-term policy that resulted in a 37% increase in water availability with a 12% increase in farmer income. However, it showed detrimental effects on soil salinity in the long term, with a 21% increase in soil salinity due to secondary salinization. The new P-GBSDM was shown to be an effective platform for engaging stakeholders and simulating their proposed management policies while taking into account socioeconomic considerations. This was not possible using the physically based SAHYSMOD model alone.

  1. Stakeholder involvement - a japanese perspective

    International Nuclear Information System (INIS)

    Kobayashi, S.

    2004-01-01

    Traditional societal and cultural background of Japanese in general indicates the intrinsic difficulty in involving the public as stakeholders in the process of any type of decision making in policy matters. It is characterized by the long-taught virtue of harmonization and obedience to others. In addition, characteristic system of Japanese traditional industrial society, such as lifetime employment, seniority-based wage system, and enterprise-based labour union, encourages the loyalty to the employer/company, but not to the public. The public or ordinary citizens would seldom come out as stakeholders and express their true feelings or real opinions, even though younger generation is notably getting out from such a trend. On the other hand, it is a common practice in Japanese society for any business or administrative transactions to try to obtain 'consensus' among relevant parties concerned (stakeholders) by negotiations behind the curtain prior to the formal discussion. In this sense, 'stakeholders involvement' is accepted and practised as a matter of course, but mostly for actions between parties of equivalently influential status levels or between 'directly relevant' parties such as those between the different government agencies, between regulators and industries. The concept of 'Involving the public in decision making as stakeholders' is not yet fully understood nor accepted in Japan both by regulators and by the public so far as the issue of radiation protection is concerned. These situations are explained with some examples. (author)

  2. Climate change decision-making: Model & parameter uncertainties explored

    Energy Technology Data Exchange (ETDEWEB)

    Dowlatabadi, H.; Kandlikar, M.; Linville, C.

    1995-12-31

    A critical aspect of climate change decision-making is uncertainties in current understanding of the socioeconomic, climatic and biogeochemical processes involved. Decision-making processes are much better informed if these uncertainties are characterized and their implications understood. Quantitative analysis of these uncertainties serve to inform decision makers about the likely outcome of policy initiatives, and help set priorities for research so that outcome ambiguities faced by the decision-makers are reduced. A family of integrated assessment models of climate change have been developed at Carnegie Mellon. These models are distinguished from other integrated assessment efforts in that they were designed from the outset to characterize and propagate parameter, model, value, and decision-rule uncertainties. The most recent of these models is ICAM 2.1. This model includes representation of the processes of demographics, economic activity, emissions, atmospheric chemistry, climate and sea level change and impacts from these changes and policies for emissions mitigation, and adaptation to change. The model has over 800 objects of which about one half are used to represent uncertainty. In this paper we show, that when considering parameter uncertainties, the relative contribution of climatic uncertainties are most important, followed by uncertainties in damage calculations, economic uncertainties and direct aerosol forcing uncertainties. When considering model structure uncertainties we find that the choice of policy is often dominated by model structure choice, rather than parameter uncertainties.

  3. Modelling the Role of Cognitive Metaphors in Joint Decision Making

    NARCIS (Netherlands)

    van Ments, L.; Thilakarathne, D.J.; Treur, J.

    2016-01-01

    In this paper, a social agent model is presented for the influence of cognitive metaphors on joint decision making processes. The social agent model is based on mechanisms known from cognitive and social neuroscience and cognitive metaphor theory. The model was illustrated in particular for two

  4. Building models for marketing decisions : Past, present and future

    NARCIS (Netherlands)

    Leeflang, PSH; Wittink, DR

    We review five eras of model building in marketing, with special emphasis on the fourth and the fifth eras, the present and the future. At many firms managers now routinely use model-based results for marketing decisions. Given an increasing number of successful applications, the demand for models

  5. Building models for marketing decisions : past, present and future

    NARCIS (Netherlands)

    Leeflang, P.S.H.; Wittink, Dick R.

    2000-01-01

    We review five eras of model building in marketing, with special emphasis on the fourth and the fifth eras, the present and the future. At many firms managers now routinely use model-based results for marketing decisions. Given an increasing number of successful applications, the demand for models

  6. Decision modeling for analyzing fire action outcomes

    Science.gov (United States)

    Donald MacGregor; Armando Gonzalez-Caban

    2008-01-01

    A methodology for incident decomposition and reconstruction is developed based on the concept of an "event-frame model." The event-frame model characterizes a fire incident in terms of (a) environmental events that pertain to the fire and the fire context (e.g., fire behavior, weather, fuels) and (b) management events that represent responses to the fire...

  7. Testing a Model of Undergraduate Competence in Employability Skills and Its Implications for Stakeholders

    Science.gov (United States)

    Jackson, Denise

    2014-01-01

    Despite the development of employability skills being firmly entrenched in higher education's strategic agenda worldwide; recent graduates' standards in certain skills are not meeting industry expectations. This paper presents and tests a model of undergraduate competence in employability skills. It highlights those factors which impact on…

  8. Addressing stakeholder conflicts in rural South Africa using a water supply model

    NARCIS (Netherlands)

    D' Hont, F.M.; Clifford-Holmes, J.K.; Slinger, J.H.

    2013-01-01

    A system dynamics modelling approach is adopted to deepen understanding of the effects of operational management on the performance of the Greater Kirkwood water supply system in South Africa. Currently, the interrupted operation of the system has led to perceptions of systemic social injustice on

  9. Models in environmental regulatory decision making

    National Research Council Canada - National Science Library

    Committee on Models in the Regulatory Decision Process; National Research Council; Division on Earth and Life Studies; National Research Council

    2007-01-01

    .... Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy...

  10. Hybrid Models for Sequential Decision Making

    National Research Council Canada - National Science Library

    Sun, Ron

    2000-01-01

    To study hybrid architectures of complex learning, especially as applied to a simulated minefield navigation task, we developed a hybrid connectionist model CLARION as a demonstration of the approach...

  11. Making Invasion models useful for decision makers; incorporating uncertainty, knowledge gaps, and decision-making preferences

    Science.gov (United States)

    Denys Yemshanov; Frank H Koch; Mark Ducey

    2015-01-01

    Uncertainty is inherent in model-based forecasts of ecological invasions. In this chapter, we explore how the perceptions of that uncertainty can be incorporated into the pest risk assessment process. Uncertainty changes a decision maker’s perceptions of risk; therefore, the direct incorporation of uncertainty may provide a more appropriate depiction of risk. Our...

  12. The DO ART Model: An Ethical Decision-Making Model Applicable to Art Therapy

    Science.gov (United States)

    Hauck, Jessica; Ling, Thomson

    2016-01-01

    Although art therapists have discussed the importance of taking a positive stance in terms of ethical decision making (Hinz, 2011), an ethical decision-making model applicable for the field of art therapy has yet to emerge. As the field of art therapy continues to grow, an accessible, theoretically grounded, and logical decision-making model is…

  13. Unicriterion Model: A Qualitative Decision Making Method That Promotes Ethics

    Directory of Open Access Journals (Sweden)

    Fernando Guilherme Silvano Lobo Pimentel

    2011-06-01

    Full Text Available Management decision making methods frequently adopt quantitativemodels of several criteria that bypass the question of whysome criteria are considered more important than others, whichmakes more difficult the task of delivering a transparent viewof preference structure priorities that might promote ethics andlearning and serve as a basis for future decisions. To tackle thisparticular shortcoming of usual methods, an alternative qualitativemethodology of aggregating preferences based on the rankingof criteria is proposed. Such an approach delivers a simpleand transparent model for the solution of each preference conflictfaced during the management decision making process. Themethod proceeds by breaking the decision problem into ‘two criteria– two alternatives’ scenarios, and translating the problem ofchoice between alternatives to a problem of choice between criteriawhenever appropriate. The unicriterion model method is illustratedby its application in a car purchase and a house purchasedecision problem.

  14. Methodology and preliminary models for analyzing nuclear-safeguards decisions

    International Nuclear Information System (INIS)

    Judd, B.R.; Weissenberger, S.

    1978-11-01

    This report describes a general analytical tool designed with Lawrence Livermore Laboratory to assist the Nuclear Regulatory Commission in making nuclear safeguards decisions. The approach is based on decision analysis - a quantitative procedure for making decisions under uncertain conditions. The report: describes illustrative models that quantify the probability and consequences of diverted special nuclear material and the costs of safeguarding the material; demonstrates a methodology for using this information to set safeguards regulations (safeguards criteria); and summarizes insights gained in a very preliminary assessment of a hypothetical reprocessing plant

  15. Methodology and preliminary models for analyzing nuclear safeguards decisions

    International Nuclear Information System (INIS)

    1978-11-01

    This report describes a general analytical tool designed to assist the NRC in making nuclear safeguards decisions. The approach is based on decision analysis--a quantitative procedure for making decisions under uncertain conditions. The report: describes illustrative models that quantify the probability and consequences of diverted special nuclear material and the costs of safeguarding the material, demonstrates a methodology for using this information to set safeguards regulations (safeguards criteria), and summarizes insights gained in a very preliminary assessment of a hypothetical reprocessing plant

  16. Modeling strategic investment decisions in spatial markets

    International Nuclear Information System (INIS)

    Lorenczik, Stefan; Malischek, Raimund

    2014-01-01

    Markets for natural resources and commodities are often oligopolistic. In these markets, production capacities are key for strategic interaction between the oligopolists. We analyze how different market structures influence oligopolistic capacity investments and thereby affect supply, prices and rents in spatial natural resource markets using mathematical programing models. The models comprise an investment period and a supply period in which players compete in quantities. We compare three models, one perfect competition and two Cournot models, in which the product is either traded through long-term contracts or on spot markets in the supply period. Tractability and practicality of the approach are demonstrated in an application to the international metallurgical coal market. Results may vary substantially between the different models. The metallurgical coal market has recently made progress in moving away from long-term contracts and more towards spot market-based trade. Based on our results, we conclude that this regime switch is likely to raise consumer rents but lower producer rents. The total welfare differs only negligibly.

  17. Understanding the Mechanisms of Collective Decision Making in Ecological Restoration: An Agent-Based Model of Actors and Organizations

    Directory of Open Access Journals (Sweden)

    Cristy Watkins

    2013-06-01

    Full Text Available Ecological restoration, particularly in urban contexts, is a complex collective decision-making process that involves a diversity of stakeholders and experts, each with their own perceptions and preferences about what landscapes should and can look like, how to get them to the desired state, and on what timeline. We investigate how structural and behavioral factors may influence collective decision making in the context of ecological restoration, with the purpose of establishing general relationships between management styles (defined by structural and behavioral factors of the organization and decision outcomes. Informed by existing literature on collective decision making and by empirical data from the Chicago Wilderness region, we present a stylized agent-based model that maps out and simulates the processes by which individuals within restoration organizations communicate, discuss, and ultimately make a decision. Our study examines how structural and behavioral characteristics - including: (a the number of actors and groups involved in decision making, (b the frequency and type of interactions among actors, (c the initial setup of positions and respect, (d outside information, and (e entrenchment and cost of dissent - lead to or prohibit group convergence in terms of collective position, variation in position across actors, and final decision strategies. We found that formal meetings and group leaders are important facilitators of convergence, especially when multiple groups are present, new information is introduced in the process, and participants are polarized around an issue. Also, intergroup interactions are particularly important for overall convergence. Position entrenchment slows the convergence process and increases the need for decision strategies involving outside intervention. Cost of dissent can reinforce these effects. Our study formalizes collective decision-making processes within the context of ecological restoration

  18. A description of spatial data infrastructure stakeholders in Ghana using the ICA model

    CSIR Research Space (South Africa)

    Owusu-Banahene, W

    2013-11-01

    Full Text Available , ICA model 1. Introduction A spatial data infrastructure (SDI) refers to the infrastructure, i.e. the basic physical and organizational structures required to facilitate and coordinate the efficient and effective discovery and use of spatial..., networks, people, policies, organizational aspects, geo-referenced data, and delivery mechanisms to end users. Ghana is a sub-saharan African country (shown in Figure 1) with a land surface area of 239,460km2, a population of 24.66 million (Ghana...

  19. Measuring and modeling behavioral decision dynamics in collective evacuation.

    Directory of Open Access Journals (Sweden)

    Jean M Carlson

    Full Text Available Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies.

  20. Models in environmental regulatory decision making

    National Research Council Canada - National Science Library

    Committee on Models in the Regulatory Decision Process; National Research Council; Division on Earth and Life Studies; National Research Council

    2007-01-01

    .... The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.

  1. Modeling Deployment Decisions for Elastic Services with ABS

    Directory of Open Access Journals (Sweden)

    Einar Broch Johnsen

    2016-10-01

    Full Text Available The use of cloud technology can offer significant savings for the deployment of services, provided that the service is able to make efficient use of the available virtual resources to meet service-level requirements. To avoid software designs that scale poorly, it is important to make deployment decisions for the service at design time, early in the development of the service itself. ABS offers a formal, model-based approach which integrates the design of services with the modeling of deployment decisions. In this paper, we illustrate the main concepts of this approach by modeling a scalable pool of workers with an auto-scaling strategy and by using the model to compare deployment decisions with respect to client traffic with peak loads.

  2. Representing Farmer Irrigation Decisions in Northern India: Model Development from the Bottom Up.

    Science.gov (United States)

    O'Keeffe, J.; Buytaert, W.; Brozovic, N.; Mijic, A.

    2017-12-01

    The plains of northern India are among the most intensely populated and irrigated regions of the world. Sustaining water demand has been made possible by exploiting the vast and hugely productive aquifers underlying the Indo-Gangetic basin. However, an increasing demand from a growing population and highly variable socio-economic and environmental variables mean present resources may not be sustainable, resulting in water security becoming one of India's biggest challenges. Unless solutions which take into consideration the regions evolving anthropogenic and environmental conditions are found, the sustainability of India's water resources looks bleak. Understanding water user decisions and their potential outcome is important for development of suitable water resource management options. Computational models are commonly used to assist water use decision making, typically representing natural processes well. The inclusion of human decision making however, one of the dominant drivers of change, has lagged behind. Improved representation of irrigation water user behaviour within models provides more accurate, relevant information for irrigation management. This research conceptualizes and proceduralizes observed farmer irrigation practices, highlighting feedbacks between the environment and livelihood. It is developed using a bottom up approach, informed through field experience and stakeholder interaction in Uttar Pradesh, northern India. Real world insights are incorporated through collected information creating a realistic representation of field conditions, providing a useful tool for policy analysis and water management. The modelling framework is applied to four districts. Results suggest predicted future climate will have little direct impact on water resources, crop yields or farmer income. In addition, increased abstraction may be sustainable in some areas under carefully managed conditions. By simulating dynamic decision making, feedbacks and interactions

  3. Decision-making in healthcare: a practical application of partial least square path modelling to coverage of newborn screening programmes

    Directory of Open Access Journals (Sweden)

    Fischer Katharina E

    2012-08-01

    Full Text Available Abstract Background Decision-making in healthcare is complex. Research on coverage decision-making has focused on comparative studies for several countries, statistical analyses for single decision-makers, the decision outcome and appraisal criteria. Accounting for decision processes extends the complexity, as they are multidimensional and process elements need to be regarded as latent constructs (composites that are not observed directly. The objective of this study was to present a practical application of partial least square path modelling (PLS-PM to evaluate how it offers a method for empirical analysis of decision-making in healthcare. Methods Empirical approaches that applied PLS-PM to decision-making in healthcare were identified through a systematic literature search. PLS-PM was used as an estimation technique for a structural equation model that specified hypotheses between the components of decision processes and the reasonableness of decision-making in terms of medical, economic and other ethical criteria. The model was estimated for a sample of 55 coverage decisions on the extension of newborn screening programmes in Europe. Results were evaluated by standard reliability and validity measures for PLS-PM. Results After modification by dropping two indicators that showed poor measures in the measurement models’ quality assessment and were not meaningful for newborn screening, the structural equation model estimation produced plausible results. The presence of three influences was supported: the links between both stakeholder participation or transparency and the reasonableness of decision-making; and the effect of transparency on the degree of scientific rigour of assessment. Reliable and valid measurement models were obtained to describe the composites of ‘transparency’, ‘participation’, ‘scientific rigour’ and ‘reasonableness’. Conclusions The structural equation model was among the first applications of PLS-PM to

  4. Open Models of Decision Support Towards a Framework

    OpenAIRE

    Diasio, Stephen Ray

    2012-01-01

    Aquesta tesi presenta un marc per als models oberts de suport a les decisions en les organitzacions. El treball es vehicula a través d’un compendi d’articles on s’analitzen els fluxos d’entrada i de sortida de coneixement en les organitzacions, així como les tecnologies existents de suport a les decisions. Es presenten els factors subjacents que impulsen nous models per a formes obertes de suport a la decisió. La tesis presenta un estudi de les distintes tipologies de models de suport a les d...

  5. Consumer decision-making models within the discipline of ...

    African Journals Online (AJOL)

    models provide the possibility to understand different consumer decision processes and marketing strate- gies and that models play an important part in the es- tablishment of theory (Engel et al, ..... ated by meaning, deliberation of consequences of various alternatives and formation of intentions (Du. Plessis et al, 1991:21; ...

  6. Model based decision support for planning of road maintenance

    NARCIS (Netherlands)

    van Harten, Aart; Worm, J.M.; Worm, J.M.

    1996-01-01

    In this article we describe a Decision Support Model, based on Operational Research methods, for the multi-period planning of maintenance of bituminous pavements. This model is a tool for the road manager to assist in generating an optimal maintenance plan for a road. Optimal means: minimising the

  7. Modeling Conflict And Exchange In Collective Decision Making

    NARCIS (Netherlands)

    Stokman, Frans N.

    1995-01-01

    Two dynamic models of collecuve decision maklng are Introduced and lllustrated wlth a simple example. A more extensive presentation and appllcauon concerning the European Community can be found In Bueno de Mesqulta and Stokman (19941. The two dynamlc models reflect two alternative views of

  8. Landslide risk models for decision making.

    Science.gov (United States)

    Bonachea, Jaime; Remondo, Juan; de Terán, José Ramón Díaz; González-Díez, Alberto; Cendrero, Antonio

    2009-11-01

    This contribution presents a quantitative procedure for landslide risk analysis and zoning considering hazard, exposure (or value of elements at risk), and vulnerability. The method provides the means to obtain landslide risk models (expressing expected damage due to landslides on material elements and economic activities in monetary terms, according to different scenarios and periods) useful to identify areas where mitigation efforts will be most cost effective. It allows identifying priority areas for the implementation of actions to reduce vulnerability (elements) or hazard (processes). The procedure proposed can also be used as a preventive tool, through its application to strategic environmental impact analysis (SEIA) of land-use plans. The underlying hypothesis is that reliable predictions about hazard and risk can be made using models based on a detailed analysis of past landslide occurrences in connection with conditioning factors and data on past damage. The results show that the approach proposed and the hypothesis formulated are essentially correct, providing estimates of the order of magnitude of expected losses for a given time period. Uncertainties, strengths, and shortcomings of the procedure and results obtained are discussed and potential lines of research to improve the models are indicated. Finally, comments and suggestions are provided to generalize this type of analysis.

  9. The Use of Visual Decision Support Tools in an Interactive Stakeholder Analysis—Old Ports as New Magnets for Creative Urban Development

    Directory of Open Access Journals (Sweden)

    Peter Nijkamp

    2013-10-01

    Full Text Available Port cities are historically important breeding places of civilization and wealth, and act as attractive high-quality and sustainable places to live and work. They are core places for sustainable development for the entire spatial system as a result of their dynamism, which has in recent years reinforced their position as magnets in a spatial-economic force field. To understand and exploit this potential, the present study presents an analytical framework that links the opportunities provided by traditional port areas/cities to creative, resilient and sustainable urban development. Using evidence-based research, findings are presented from a case study by employing a stakeholder-based model—with interactive visual support tools as novel analysis methods—in a backcasting and forecasting exercise for sustainable development. The empirical study is carried out in and around the NDSM-area, a former dockyard in Amsterdam, the Netherlands. Various future images were used—in an interactive assessment incorporating classes of important stakeholders—as strategic vehicles to identify important policy challenges, and to evaluate options for converting historical-cultural urban port landscapes into sustainable and creative hotspots, starting by reusing, recovering, and regenerating such areas. This approach helps to identify successful policy strategies, and to bring together different forms of expertise in order to resolve conflicts between the interests (or values of a multiplicity of stakeholders, with a view to stimulating economic vitality in combination with meeting social needs and ensuring the conservation of eco-systems in redesigning old port areas. The results indicate that the interactive policy support tools developed for the case study are fit for purpose, and are instrumental in designing sustainable urban port areas.

  10. Shrinking Sea Ice, Thawing Permafrost, Bigger Storms, and Extremely Limited Data - Addressing Information Needs of Stakeholders in Western Alaska Through Participatory Decisions and Collaborative Science.

    Science.gov (United States)

    Murphy, K. A.; Reynolds, J.

    2015-12-01

    Communities, Tribes, and decision makers in coastal western Alaska are being impacted by declining sea ice, sea level rise, changing storm patterns and intensities, and increased rates of coastal erosion. Relative to their counterparts in the contiguous USA, their ability to plan for and respond to these changes is constrained by the region's generally meager or non-existent information base. Further, the information needs and logistic challenges are of a scale that perhaps can be addressed only through strong, strategic collaboration. Landscape Conservation Cooperatives (LCCs) are fundamentally about applied science and collaboration, especially collaborative decision making. The Western Alaska LCC has established a process of participatory decision making that brings together researchers, agency managers, local experts from Tribes and field specialists to identify and prioritize shared information needs; develop a course of action to address them by using the LCC's limited resources to catalyze engagement, overcome barriers to progress, and build momentum; then ensure products are delivered in a manner that meets decision makers' needs. We briefly review the LCC's activities & outcomes from the stages of (i) collaborative needs assessment (joint with the Alaska Climate Science Center and the Alaska Ocean Observing System), (ii) strategic science activities, and (iii) product refinement and delivery. We discuss lessons learned, in the context of our recent program focused on 'Changes in Coastal Storms and Their Impacts' and current collaborative efforts focused on delivery of Coastal Resiliency planning tools and results from applied science projects. Emphasis is given to the various key interactions between scientists and decision makers / managers that have been promoted by this process to ensure alignment of final products to decision maker needs.

  11. Beyond pain: modeling decision-making deficits in chronic pain

    Directory of Open Access Journals (Sweden)

    Leonardo Emanuel Hess

    2014-08-01

    Full Text Available Risky decision-making seems to be markedly disrupted in patients with chronic pain, probably due to the high cost that impose pain and negative mood on executive control functions. Patients’ behavioral performance on decision-making tasks such as the Iowa Gambling Task (IGT is characterized by selecting cards more frequently from disadvantageous than from advantageous decks, and by switching often between competing responses in comparison with healthy controls. In the present study, we developed a simple heuristic model to simulate individuals’ choice behavior by varying the level of decision randomness and the importance given to gains and losses. The findings revealed that the model was able to differentiate the behavioral performance of patients with chronic pain and healthy controls at the group, as well as at the individual level. The best fit of the model in patients with chronic pain was yielded when decisions were not based on previous choices and when gains were considered more relevant than losses. By contrast, the best account of the available data in healthy controls was obtained when decisions were based on previous experiences and losses loomed larger than gains. In conclusion, our model seems to provide useful information to measure each individual participant extensively, and to deal with the data on a participant-by-participant basis.

  12. Beyond pain: modeling decision-making deficits in chronic pain

    Science.gov (United States)

    Hess, Leonardo Emanuel; Haimovici, Ariel; Muñoz, Miguel Angel; Montoya, Pedro

    2014-01-01

    Risky decision-making seems to be markedly disrupted in patients with chronic pain, probably due to the high cost that impose pain and negative mood on executive control functions. Patients’ behavioral performance on decision-making tasks such as the Iowa Gambling Task (IGT) is characterized by selecting cards more frequently from disadvantageous than from advantageous decks, and by switching often between competing responses in comparison with healthy controls (HCs). In the present study, we developed a simple heuristic model to simulate individuals’ choice behavior by varying the level of decision randomness and the importance given to gains and losses. The findings revealed that the model was able to differentiate the behavioral performance of patients with chronic pain and HCs at the group, as well as at the individual level. The best fit of the model in patients with chronic pain was yielded when decisions were not based on previous choices and when gains were considered more relevant than losses. By contrast, the best account of the available data in HCs was obtained when decisions were based on previous experiences and losses loomed larger than gains. In conclusion, our model seems to provide useful information to measure each individual participant extensively, and to deal with the data on a participant-by-participant basis. PMID:25136301

  13. Defining quality of life in the children of parents with severe mental illness: a preliminary stakeholder-led model.

    Directory of Open Access Journals (Sweden)

    Penny Bee

    Full Text Available Severe parental mental illness poses a challenge to quality of life (QoL in a substantial number of children and adolescents, and improving the lives of these children is of urgent political and public health concern. This study used a bottom-up qualitative approach to develop a new stakeholder-led model of quality of life relevant to this population. Qualitative data were collected from 19 individuals participating in focus groups or individual interviews. Participants comprised 8 clinical academics, health and social care professionals or voluntary agency representatives; 5 parents and 6 young people (aged 13-18 yrs with lived experience of severe parental mental illness. Data underwent inductive thematic analysis for the purposes of informing a population-specific quality of life model. Fifty nine individual themes were identified and grouped into 11 key 'meta-themes'. Mapping each meta-theme against existing child-centred quality of life concepts revealed a multi-dimensional model that endorsed, to a greater or lesser degree, the core domains of generic quality of life models. Three new population-specific priorities were also observed: i the alleviation of parental mental health symptoms, ii improved problem-based coping skills and iii increased mental health literacy. The identification of these priorities raises questions regarding the validity of generic quality of life measures to monitor the effectiveness of services for families and children affected by severe mental illness. New, age-appropriate instruments that better reflect the life priorities and unique challenges faced by the children of parents with severe mental illness may need to be developed. Challenges then remain in augmenting and adapting service design and delivery mechanisms better to meet these needs. Future child and adult mental health services need to work seamlessly alongside statutory education and social care services and a growing number of relevant third

  14. Using a semi distributed model to enhance communication with stakeholders and participation for designing nitrogen-efficient cropping systems in a catchment

    Science.gov (United States)

    Dupas, Rémi; Parnaudeau, Virginie; Reau, Raymond; Gascuel-Odoux, Chantal; Durand, Patrick

    2013-04-01

    Context Catchment scale fully distributed agro-hydrological models are often advocated to evaluate the effect of N mitigation plans on water quality. This type of model is well suited to predict nitrate concentration in rivers under different scenarios, thanks to the variety of processes considered (e.g. groundwater table fluctuations, retention by landscape structures). The role of stakeholders is often limited to providing input data for the modeling; participation only takes place when defining the scenarios to be tested (e.g. implementation of a regulation). In most cases, characterization of the cropping systems and their evolution is carried out by scientists alone based on data from surveys and external expert knowledge. For instance, crop succession on each field plot is determined using complex statistical methods or remote sensing data, generating a complex system description that is not always adapted to the stakeholder's issues. However, modeling with stakeholders at local scale enables increasing and sharing knowledge by collaborative learning. We assume that involving stakeholders in the characterization of the cropping systems to be modeled, and simplifying system description, helps performing modeling studies that answer their questions on design of N efficient cropping systems. The model Syst'N is a tool designed to increase knowledge on nitrogen losses in cropping systems, at the plot scale. This tool, beyond a mere simulation model, was developed in order to meet requirements and constraints of non scientific users such as local stakeholders involved in water quality actions. They are referred to as 'stakeholders' hereafter. In this simulation study, N losses at the outlet of the catchment result from an aggregation of losses simulated in 63 homogenous simulation units (HSU), representing cropping systems present in the catchment. Learnings from field experience with stakeholders The field experience described here is from a 80km² catchment

  15. Consumer's Online Shopping Influence Factors and Decision-Making Model

    Science.gov (United States)

    Yan, Xiangbin; Dai, Shiliang

    Previous research on online consumer behavior has mostly been confined to the perceived risk which is used to explain those barriers for purchasing online. However, perceived benefit is another important factor which influences consumers’ decision when shopping online. As a result, an integrated consumer online shopping decision-making model is developed which contains three elements—Consumer, Product, and Web Site. This model proposed relative factors which influence the consumers’ intention during the online shopping progress, and divided them into two different dimensions—mentally level and material level. We tested those factors with surveys, from both online volunteers and offline paper surveys with more than 200 samples. With the help of SEM, the experimental results show that the proposed model and method can be used to analyze consumer’s online shopping decision-making process effectively.

  16. Decision-Making Theories and Models: A Discussion of Rational and Psychological Decision-Making Theories and Models: The Search for a Cultural-Ethical Decision-Making Model

    OpenAIRE

    Oliveira, Arnaldo

    2007-01-01

    This paper examines rational and psychological decision-making models. Descriptive and normative methodologies such as attribution theory, schema theory, prospect theory, ambiguity model, game theory, and expected utility theory are discussed. The definition of culture is reviewed, and the relationship between culture and decision making is also highlighted as many organizations use a cultural-ethical decision-making model.

  17. A decision model for energy resource selection in China

    International Nuclear Information System (INIS)

    Wang Bing; Kocaoglu, Dundar F.; Daim, Tugrul U.; Yang Jiting

    2010-01-01

    This paper evaluates coal, petroleum, natural gas, nuclear energy and renewable energy resources as energy alternatives for China through use of a hierarchical decision model. The results indicate that although coal is still the major preferred energy alternative, it is followed closely by renewable energy. The sensitivity analysis indicates that the most critical criterion for energy selection is the current energy infrastructure. A hierarchical decision model is used, and expert judgments are quantified, to evaluate the alternatives. Criteria used for the evaluations are availability, current energy infrastructure, price, safety, environmental impacts and social impacts.

  18. Using mental-modelling to explore how irrigators in the Murray–Darling Basin make water-use decisions

    Directory of Open Access Journals (Sweden)

    Ellen M. Douglas

    2016-06-01

    New hydrological insights for the region: Results suggest support for greater local and irrigator involvement in water management decisions. Many, if not most, of the irrigators understood the need for, or at least the inevitability of, governmental policies and regulations. However, a lack of accountability, predictability, and transparency has added to the uncertainty in farm-based water decision-making. Irrigators supported the concept of environmental sustainability, although they might not always agree with how the concept is implemented. The mental modelling approach facilitated knowledge sharing among stakeholders and can be used to identify common goals. Future research utilizing the mental modelling approach may encourage co-management and knowledge partnerships between irrigators, water managers and government officials.

  19. Modeling aesthetics to support an ecosystem services approach for natural resource management decision making.

    Science.gov (United States)

    Booth, Pieter N; Law, Sheryl A; Ma, Jane; Buonagurio, John; Boyd, James; Turnley, Jessica

    2017-09-01

    This paper reviews literature on aesthetics and describes the development of vista and landscape aesthetics models. Spatially explicit variables were chosen to represent physical characteristics of natural landscapes that are important to aesthetic preferences. A vista aesthetics model evaluates the aesthetics of natural landscapes viewed from distances of more than 1000 m, and a landscape aesthetics model evaluates the aesthetic value of wetlands and forests within 1000 m from the viewer. Each of the model variables is quantified using spatially explicit metrics on a pixel-specific basis within EcoAIM™, a geographic information system (GIS)-based ecosystem services (ES) decision analysis support tool. Pixel values are "binned" into ranked categories, and weights are assigned to select variables to represent stakeholder preferences. The final aesthetic score is the weighted sum of all variables and is assigned ranked values from 1 to 10. Ranked aesthetic values are displayed on maps by patch type and integrated within EcoAIM. The response of the aesthetic scoring in the models was tested by comparing current conditions in a discrete area of the facility with a Development scenario in the same area. The Development scenario consisted of two 6-story buildings and a trail replacing natural areas. The results of the vista aesthetic model indicate that the viewshed area variable had the greatest effect on the aesthetics overall score. Results from the landscape aesthetics model indicate a 10% increase in overall aesthetics value, attributed to the increase in landscape diversity. The models are sensitive to the weights assigned to certain variables by the user, and these weights should be set to reflect regional landscape characteristics as well as stakeholder preferences. This demonstration project shows that natural landscape aesthetics can be evaluated as part of a nonmonetary assessment of ES, and a scenario-building exercise provides end users with a tradeoff

  20. Comprehensible knowledge model creation for cancer treatment decision making.

    Science.gov (United States)

    Afzal, Muhammad; Hussain, Maqbool; Ali Khan, Wajahat; Ali, Taqdir; Lee, Sungyoung; Huh, Eui-Nam; Farooq Ahmad, Hafiz; Jamshed, Arif; Iqbal, Hassan; Irfan, Muhammad; Abbas Hydari, Manzar

    2017-03-01

    A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed. With the CKM-CT, clinical data are acquired automatically from documents. Quality of data is ensured by correcting errors and transforming various formats into a standard data format. Data preprocessing involves dimensionality reduction and missing value imputation. Predictive algorithm selection is performed on the basis of the ranking score of the weighted sum model. The knowledge builder prepares knowledge for knowledge-based services: clinical decisions and education support. Data is acquired from 13,788 head and neck cancer (HNC) documents for 3447 patients, including 1526 patients of the oral cavity site. In the data quality task, 160 staging values are corrected. In the preprocessing task, 20 attributes and 106 records are eliminated from the dataset. The Classification and Regression Trees (CRT) algorithm is selected and provides 69.0% classification accuracy in predicting HNC treatment plans, consisting of 11 decision paths that yield 11 decision rules. Our proposed methodology, CKM-CT, is helpful to find hidden knowledge in clinical documents. In CKM-CT, the prediction models are developed to assist and educate clinicians for informed decision making. The proposed methodology is generalizable to apply to data of other domains such as breast cancer with a similar objective to assist clinicians in decision making and education. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Board Effectiveness and Employee Engagement: Nigeria Stakeholder Perceptions

    OpenAIRE

    Bashir Mande

    2013-01-01

    The objective of this study is to determine whether employee participation yields effective board performance. To stimulatedebates inthe stakeholder theoretical perspective in an attempt to offer more inclusive approach to strengthen the existing governance structure in Nigeria.This research intends to investigate the suitability of employees participating in board’s decision-making hierarchy because of their contractual importance as wealth creators of the firm. A conceptual model is propose...

  2. Prioritization of water management for sustainability using hydrologic simulation model and multicriteria decision making techniques.

    Science.gov (United States)

    Chung, Eun-Sung; Lee, Kil Seong

    2009-03-01

    The objective of this study is to develop an alternative evaluation index (AEI) in order to determine the priorities of a range of alternatives using both the hydrological simulation program in FORTRAN (HSPF) and multicriteria decision making (MCDM) techniques. In order to formulate the HSPF model, sensitivity analyses of water quantity (peak discharge and total volume) and quality (BOD peak concentrations and total loads) are conducted and a number of critical parameters were selected. To achieve a more precise simulation, the study watershed is divided into four regions for calibration and verification according to landuse, location, slope, and climate data. All evaluation criteria were selected using the Driver-Pressure-State-Impact-Response (DPSIR) model, a sustainability evaluation concept. The Analytic Hierarchy Process is used to estimate the weights of the criteria and the effects of water quantity and quality were quantified by HSPF simulation. In addition, AEIs that reflected residents' preferences for management objectives are proposed in order to induce the stakeholder to participate in the decision making process.

  3. Dual processing model of medical decision-making.

    Science.gov (United States)

    Djulbegovic, Benjamin; Hozo, Iztok; Beckstead, Jason; Tsalatsanis, Athanasios; Pauker, Stephen G

    2012-09-03

    Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-making based on dual processing theory has been developed. Here we postulate such a model and apply it to a common clinical situation: whether treatment should be administered to the patient who may or may not have a disease. We developed a mathematical model in which we linked a recently proposed descriptive psychological model of cognition with the threshold model of medical decision-making and show how this approach can be used to better understand decision-making at the bedside and explain the widespread variation in treatments observed in clinical practice. We show that physician's beliefs about whether to treat at higher (lower) probability levels compared to the prescriptive therapeutic thresholds obtained via system II processing is moderated by system I and the ratio of benefit and harms as evaluated by both system I and II. Under some conditions, the system I decision maker's threshold may dramatically drop below the expected utility threshold derived by system II. This can explain the overtreatment often seen in the contemporary practice. The opposite can also occur as in the situations where empirical evidence is considered unreliable, or when cognitive processes of decision-makers are biased through recent experience: the threshold will increase relative to the normative threshold value derived via system II using expected utility threshold. This inclination for the higher diagnostic certainty may, in turn, explain undertreatment that is also documented in the current medical practice. We have developed the first dual processing model of medical decision-making that has potential to enrich the current medical decision-making field, which is still to the

  4. Dual processing model of medical decision-making

    Science.gov (United States)

    2012-01-01

    Background Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-making based on dual processing theory has been developed. Here we postulate such a model and apply it to a common clinical situation: whether treatment should be administered to the patient who may or may not have a disease. Methods We developed a mathematical model in which we linked a recently proposed descriptive psychological model of cognition with the threshold model of medical decision-making and show how this approach can be used to better understand decision-making at the bedside and explain the widespread variation in treatments observed in clinical practice. Results We show that physician’s beliefs about whether to treat at higher (lower) probability levels compared to the prescriptive therapeutic thresholds obtained via system II processing is moderated by system I and the ratio of benefit and harms as evaluated by both system I and II. Under some conditions, the system I decision maker’s threshold may dramatically drop below the expected utility threshold derived by system II. This can explain the overtreatment often seen in the contemporary practice. The opposite can also occur as in the situations where empirical evidence is considered unreliable, or when cognitive processes of decision-makers are biased through recent experience: the threshold will increase relative to the normative threshold value derived via system II using expected utility threshold. This inclination for the higher diagnostic certainty may, in turn, explain undertreatment that is also documented in the current medical practice. Conclusions We have developed the first dual processing model of medical decision-making that has potential to enrich the current medical

  5. What are the communication challenges for politicians, experts and stakeholders in order to enhance transparency in nuclear waste management decisions? Report from a Team Syntegrity Meeting. The European Project RISCOM-II. Work Package 3

    International Nuclear Information System (INIS)

    Andersson, Kjell; Espejo, Raul; Wene, Clas-Otto

    2003-09-01

    The Team Syntegrity Meeting is a special part of the project. It aims for increased awareness among key stakeholder groups in Europe about how nuclear waste decision processes should be developed in order to increase transparency and trust. Team Syntegrity is conducted with a special meeting format. The self-organisation of the meeting is a strong positive feature of the format. Instead of having a project leader setting the agenda, the participants formulate their own topics of relevance starting from an opening question. This report documents the meeting that was held in Lanaken, Belgium on 14-17 May 2002. The opening question for the meeting was: What are communication challenges for politicians, experts and stakeholders in order to enhance transparency in nuclear waste management decisions? There are different opinions about how communication on nuclear waste issues should be done. There are differences between stakeholder groups, and there are different approaches taken in various countries. Still it should be possible to reach a deeper understanding of social communications, that is, understanding the requirements to have effective communications between policy makers, experts and stakeholders. The aim was thus not to develop common views on the nuclear waste problem as such, but rather common grounds for developing procedures for effective communication. Hopefully, this meeting made some progress in this direction. The call for the Team Syntegrity (TS) Meeting resulted in 105 Statements of Importance given in Appendix 2. Following the TS format the meeting then formed its own agenda by first producing 30 Aggregated Statements of Importance (Appendix 3), which were grouped into 12 Consolidated Statements of Importance or topics. The group discussions were thus held under the twelve topics of: Consultation, communication and participation; Mutual learning; Roles and arenas; Heritage; Transparency; Wider context; Process; Risk; Institutional cultures

  6. Simple model for multiple-choice collective decision making.

    Science.gov (United States)

    Lee, Ching Hua; Lucas, Andrew

    2014-11-01

    We describe a simple model of heterogeneous, interacting agents making decisions between n≥2 discrete choices. For a special class of interactions, our model is the mean field description of random field Potts-like models and is effectively solved by finding the extrema of the average energy E per agent. In these cases, by studying the propagation of decision changes via avalanches, we argue that macroscopic dynamics is well captured by a gradient flow along E. We focus on the permutation symmetric case, where all n choices are (on average) the same, and spontaneous symmetry breaking (SSB) arises purely from cooperative social interactions. As examples, we show that bimodal heterogeneity naturally provides a mechanism for the spontaneous formation of hierarchies between decisions and that SSB is a preferred instability to discontinuous phase transitions between two symmetric points. Beyond the mean field limit, exponentially many stable equilibria emerge when we place this model on a graph of finite mean degree. We conclude with speculation on decision making with persistent collective oscillations. Throughout the paper, we emphasize analogies between methods of solution to our model and common intuition from diverse areas of physics, including statistical physics and electromagnetism.

  7. Sex differences in animal models of decision making.

    Science.gov (United States)

    Orsini, Caitlin A; Setlow, Barry

    2017-01-02

    The ability to weigh the costs and benefits of various options to make an adaptive decision is critical to an organism's survival and wellbeing. Many psychiatric diseases are characterized by maladaptive decision making, indicating a need for better understanding of the mechanisms underlying this process and the ways in which it is altered under pathological conditions. Great strides have been made in uncovering these mechanisms, but the majority of what is known comes from studies conducted solely in male subjects. In recent years, decision-making research has begun to include female subjects to determine whether sex differences exist and to identify the mechanisms that contribute to such differences. This Mini-Review begins by describing studies that have examined sex differences in animal (largely rodent) models of decision making. Possible explanations, both theoretical and biological, for such differences in decision making are then considered. The Mini-Review concludes with a discussion of the implications of sex differences in decision making for understanding psychiatric conditions. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  8. Sex Differences in Animal Models of Decision-Making

    Science.gov (United States)

    Orsini, Caitlin A.; Setlow, Barry

    2016-01-01

    The ability to weigh the costs and benefits of various options in order to make an adaptive decision is critical to an organism’s survival and well-being. Many psychiatric diseases are characterized by maladaptive decision-making, indicating the need to better understand the mechanisms underlying this process and the ways in which it is altered in pathological conditions. Great strides have been made in uncovering these mechanisms, but the majority of what is known comes from studies conducted solely in male subjects. In recent years, decision-making research has begun to include females to determine whether sex differences exist and to identify the mechanisms that contribute to such differences. This review will begin by describing studies that have examined sex differences in animal (largely rodent) models of decision-making. Possible explanations, both theoretical and biological, for such differences in decision- making will then be considered. The review will conclude with a discussion of the implications of sex differences in decision-making for understanding psychiatric conditions. PMID:27870448

  9. The decision book fifty models for strategic thinking

    CERN Document Server

    Krogerus, Mikael

    2011-01-01

    Most of us face the same questions every day: What do I want? And how can I get it? How can I live more happily and work more efficiently? A worldwide bestseller, The Decision Book distils into a single volume the fifty best decision-making models used on MBA courses and elsewhere that will help you tackle these important questions - from the well known (the Eisenhower matrix for time management) to the less familiar but equally useful (the Swiss Cheese model). It will even show you how to remember everything you will have learned by the end of it. Stylish and compact, this little black book is a powerful asset. Whether you need to plot a presentation, assess someone's business idea or get to know yourself better, this unique guide will help you simplify any problem and take steps towards the right decision.

  10. Embedding a State Space Model Into a Markov Decision Process

    DEFF Research Database (Denmark)

    Nielsen, Lars Relund; Jørgensen, Erik; Højsgaard, Søren

    2011-01-01

    In agriculture Markov decision processes (MDPs) with finite state and action space are often used to model sequential decision making over time. For instance, states in the process represent possible levels of traits of the animal and transition probabilities are based on biological models...... estimated from data collected from the animal or herd. State space models (SSMs) are a general tool for modeling repeated measurements over time where the model parameters can evolve dynamically. In this paper we consider methods for embedding an SSM into an MDP with finite state and action space. Different...... ways of discretizing an SSM are discussed and methods for reducing the state space of the MDP are presented. An example from dairy production is given...

  11. Project stakeholder management

    CERN Document Server

    Eskerod, Pernille

    2013-01-01

    Carrying out a project as planned is not a guarantee for success. Projects may fail because project management does not take the requirements, wishes and concerns of stakeholders sufficiently into account. Projects can only be successful though contributions from stakeholders. And in the end, it is the stakeholders that evaluate whether they find that the project is a success. To manage stakeholders effectively, you need to know your stakeholders, their behaviours and attitudes towards the project. In Project Stakeholder Management, the authors give guidance on how to adopt an analytical and s

  12. Multi-criteria decision model for retrofitting existing buildings

    Directory of Open Access Journals (Sweden)

    M. D. Bostenaru Dan

    2004-01-01

    Full Text Available Decision is an element in the risk management process. In this paper the way how science can help in decision making and implementation for retrofitting buildings in earthquake prone urban areas is investigated. In such interventions actors from various spheres are involved. Their interests range among minimising the intervention for maximal preservation or increasing it for seismic safety. Research was conducted to see how to facilitate collaboration between these actors. A particular attention was given to the role of time in actors' preferences. For this reason, on decision level, both the processural and the personal dimension of risk management, the later seen as a task, were considered. A systematic approach was employed to determine the functional structure of a participative decision model. Three layers on which actors implied in this multi-criteria decision problem interact were identified: town, building and element. So-called 'retrofit elements' are characteristic bearers in the architectural survey, engineering simulations, costs estimation and define the realms perceived by the inhabitants. This way they represent an interaction basis for the interest groups considered in a deeper study. Such orientation means for actors' interaction were designed on other levels of intervention as well. Finally, an 'experiment' for the implementation of the decision model is presented: a strategic plan for an urban intervention towards reduction of earthquake hazard impact through retrofitting. A systematic approach proves thus to be a very good communication basis among the participants in the seismic risk management process. Nevertheless, it can only be applied in later phases (decision, implementation, control only, since it serves verifying and improving solution and not developing the concept. The 'retrofit elements' are a typical example of the detailing degree reached in the retrofit design plans in these phases.

  13. Overcoming barriers to development of cooperative medical decision support models.

    Science.gov (United States)

    Hudson, Donna L; Cohen, Maurice E

    2012-01-01

    Attempts to automate the medical decision making process have been underway for the at least fifty years, beginning with data-based approaches that relied chiefly on statistically-based methods. Approaches expanded to include knowledge-based systems, both linear and non-linear neural networks, agent-based systems, and hybrid methods. While some of these models produced excellent results none have been used extensively in medical practice. In order to move these methods forward into practical use, a number of obstacles must be overcome, including validation of existing systems on large data sets, development of methods for including new knowledge as it becomes available, construction of a broad range of decision models, and development of non-intrusive methods that allow the physician to use these decision aids in conjunction with, not instead of, his or her own medical knowledge. None of these four requirements will come easily. A cooperative effort among researchers, including practicing MDs, is vital, particularly as more information on diseases and their contributing factors continues to expand resulting in more parameters than the human decision maker can process effectively. In this article some of the basic structures that are necessary to facilitate the use of an automated decision support system are discussed, along with potential methods for overcoming existing barriers.

  14. What are the communication challenges for politicians, experts and stakeholders in order to enhance transparency in nuclear waste management decisions? Report from a Team Syntegrity Meeting. The European Project RISCOM-II. Work Package 3

    Energy Technology Data Exchange (ETDEWEB)

    Andersson, Kjell [Karinta-Konsult, Taeby (Sweden); Espejo, Raul [Syncho Ltd., Birmingham (United Kingdom); Wene, Clas-Otto [Wenergy, Lund (Sweden)

    2003-09-01

    The Team Syntegrity Meeting is a special part of the project. It aims for increased awareness among key stakeholder groups in Europe about how nuclear waste decision processes should be developed in order to increase transparency and trust. Team Syntegrity is conducted with a special meeting format. The self-organisation of the meeting is a strong positive feature of the format. Instead of having a project leader setting the agenda, the participants formulate their own topics of relevance starting from an opening question. This report documents the meeting that was held in Lanaken, Belgium on 14-17 May 2002. The opening question for the meeting was: What are communication challenges for politicians, experts and stakeholders in order to enhance transparency in nuclear waste management decisions? There are different opinions about how communication on nuclear waste issues should be done. There are differences between stakeholder groups, and there are different approaches taken in various countries. Still it should be possible to reach a deeper understanding of social communications, that is, understanding the requirements to have effective communications between policy makers, experts and stakeholders. The aim was thus not to develop common views on the nuclear waste problem as such, but rather common grounds for developing procedures for effective communication. Hopefully, this meeting made some progress in this direction. The call for the Team Syntegrity (TS) Meeting resulted in 105 Statements of Importance given in Appendix 2. Following the TS format the meeting then formed its own agenda by first producing 30 Aggregated Statements of Importance (Appendix 3), which were grouped into 12 Consolidated Statements of Importance or topics. The group discussions were thus held under the twelve topics of: Consultation, communication and participation; Mutual learning; Roles and arenas; Heritage; Transparency; Wider context; Process; Risk; Institutional cultures

  15. A Behavioral Decision Making Modeling Approach Towards Hedging Services

    NARCIS (Netherlands)

    Pennings, J.M.E.; Candel, M.J.J.M.; Egelkraut, T.M.

    2003-01-01

    This paper takes a behavioral approach toward the market for hedging services. A behavioral decision-making model is developed that provides insight into how and why owner-managers decide the way they do regarding hedging services. Insight into those choice processes reveals information needed by

  16. Making Risk Models Operational for Situational Awareness and Decision Support

    International Nuclear Information System (INIS)

    Paulson, P.R.; Coles, G.; Shoemaker, S.

    2012-01-01

    We present CARIM, a decision support tool to aid in the evaluation of plans for converting control systems to digital instruments. The model provides the capability to optimize planning and resource allocation to reduce risk from multiple safety and economic perspectives. (author)

  17. The limitations of applying rational decision-making models to ...

    African Journals Online (AJOL)

    The aim of this paper is to show the limitations of rational decision-making models as applied to child spacing and more specifically to the use of modern methods of contraception. In the light of factors known to influence low uptake of child spacing services in other African countries, suggestions are made to explain the ...

  18. Managing health care decisions and improvement through simulation modeling.

    Science.gov (United States)

    Forsberg, Helena Hvitfeldt; Aronsson, Håkan; Keller, Christina; Lindblad, Staffan

    2011-01-01

    Simulation modeling is a way to test changes in a computerized environment to give ideas for improvements before implementation. This article reviews research literature on simulation modeling as support for health care decision making. The aim is to investigate the experience and potential value of such decision support and quality of articles retrieved. A literature search was conducted, and the selection criteria yielded 59 articles derived from diverse applications and methods. Most met the stated research-quality criteria. This review identified how simulation can facilitate decision making and that it may induce learning. Furthermore, simulation offers immediate feedback about proposed changes, allows analysis of scenarios, and promotes communication on building a shared system view and understanding of how a complex system works. However, only 14 of the 59 articles reported on implementation experiences, including how decision making was supported. On the basis of these articles, we proposed steps essential for the success of simulation projects, not just in the computer, but also in clinical reality. We also presented a novel concept combining simulation modeling with the established plan-do-study-act cycle for improvement. Future scientific inquiries concerning implementation, impact, and the value for health care management are needed to realize the full potential of simulation modeling.

  19. Derivation of Monotone Decision Models from Non-Monotone Data

    NARCIS (Netherlands)

    Daniëls, H.A.M.; Velikova, M.V.

    2003-01-01

    The objective of data mining is the extraction of knowledge from databases. In practice, one often encounters difficulties with models that are constructed purely by search, without incorporation of knowledge about the domain of application.In economic decision making such as credit loan approval or

  20. Reviewing the role of stakeholders in Operational Research; A stakeholder theory perspective

    NARCIS (Netherlands)

    Gooyert, V. de; Rouwette, E.A.J.A.; Kranenburg, H.L. van; Freeman, R.E.

    2017-01-01

    The role of stakeholders in organizational decision-making is gaining more and more attention. Managers find that in order to create value sustainably and ethically, it is necessary to balance the interests of various stakeholders. This trend is reflected in the management literature, where much

  1. Translational Models of Gambling-Related Decision-Making.

    Science.gov (United States)

    Winstanley, Catharine A; Clark, Luke

    Gambling is a harmless, recreational pastime that is ubiquitous across cultures. However, for some, gambling becomes a maladaptive and compulsive, and this syndrome is conceptualized as a behavioural addiction. Laboratory models that capture the key cognitive processes involved in gambling behaviour, and that can be translated across species, have the potential to make an important contribution to both decision neuroscience and the study of addictive disorders. The Iowa gambling task has been widely used to assess human decision-making under uncertainty, and this paradigm can be successfully modelled in rodents. Similar neurobiological processes underpin choice behaviour in humans and rats, and thus, a preference for the disadvantageous "high-risk, high-reward" options may reflect meaningful vulnerability for mental health problems. However, the choice behaviour operationalized by these tasks does not necessarily approximate the vulnerability to gambling disorder (GD) per se. We consider a number of psychological challenges that apply to modelling gambling in a translational way, and evaluate the success of the existing models. Heterogeneity in the structure of gambling games, as well as in the motivations of individuals with GD, is highlighted. The potential issues with extrapolating too directly from established animal models of drug dependency are discussed, as are the inherent difficulties in validating animal models of GD in the absence of any approved treatments for GD. Further advances in modelling the cognitive biases endemic in human decision-making, which appear to be exacerbated in GD, may be a promising line of research.

  2. Trade-offs underlying maternal breastfeeding decisions: A conceptual model

    OpenAIRE

    Tully, Kristin P.; Ball, Helen L.

    2011-01-01

    This paper presents a new conceptual model that generates predictions about breastfeeding decisions and identifies interactions that affect outcomes. We offer a contextual approach to infant feeding that models multi-directional influences by expanding on the evolutionary parent–offspring conflict and situation-specific breastfeeding theories. The main hypothesis generated from our framework suggests that simultaneously addressing breastfeeding costs and benefits, in relation to how they are ...

  3. A decision-making process model of young online shoppers.

    Science.gov (United States)

    Lin, Chin-Feng; Wang, Hui-Fang

    2008-12-01

    Based on the concepts of brand equity, means-end chain, and Web site trust, this study proposes a novel model called the consumption decision-making process of adolescents (CDMPA) to understand adolescents' Internet consumption habits and behavioral intention toward particular sporting goods. The findings of the CDMPA model can help marketers understand adolescents' consumption preferences and habits for developing effective Internet marketing strategies.

  4. How Participatory Should Environmental Governance Be? Testing the Applicability of the Vroom-Yetton-Jago Model in Public Environmental Decision-Making

    Science.gov (United States)

    Lührs, Nikolas; Jager, Nicolas W.; Challies, Edward; Newig, Jens

    2018-02-01

    Public participation is potentially useful to improve public environmental decision-making and management processes. In corporate management, the Vroom-Yetton-Jago normative decision-making model has served as a tool to help managers choose appropriate degrees of subordinate participation for effective decision-making given varying decision-making contexts. But does the model recommend participatory mechanisms that would actually benefit environmental management? This study empirically tests the improved Vroom-Jago version of the model in the public environmental decision-making context. To this end, the key variables of the Vroom-Jago model are operationalized and adapted to a public environmental governance context. The model is tested using data from a meta-analysis of 241 published cases of public environmental decision-making, yielding three main sets of findings: (1) The Vroom-Jago model proves limited in its applicability to public environmental governance due to limited variance in its recommendations. We show that adjustments to key model equations make it more likely to produce meaningful recommendations. (2) We find that in most of the studied cases, public environmental managers (implicitly) employ levels of participation close to those that would have been recommended by the model. (3) An ANOVA revealed that such cases, which conform to model recommendations, generally perform better on stakeholder acceptance and environmental standards of outputs than those that diverge from the model. Public environmental management thus benefits from carefully selected and context-sensitive modes of participation.

  5. Reactive or proactive approach towards sustainability? A conceptual framework based on sustainable business models to increase stakeholders' sustainable value capture

    DEFF Research Database (Denmark)

    Rosati, Francesco; Morioka, Sandra; Monteiro de Carvalho, Marly

    2016-01-01

    Indications towards the need for development and implementation of solutions for more sustainable development are not recent. However, the world is still struggling to tackle these challenges, and sustainability is not an optional agenda, but rather it is an obligatory and necessary issue...... to stakeholders' expectations is supported by motivations derived from marketing, corporate social responsibility, international standards, sustainability reporting, labelling, etc. However, these demands are not always aligned with sustainability, creating tensions between stakeholder satisfaction and corporate...... as actors in the societal system. Thus, future researches are invited to contribute to further theoretical and empirical discussions to explore the potentials of fostering sustainable value capture....

  6. Using plural modeling for predicting decisions made by adaptive adversaries

    International Nuclear Information System (INIS)

    Buede, Dennis M.; Mahoney, Suzanne; Ezell, Barry; Lathrop, John

    2012-01-01

    Incorporating an appropriate representation of the likelihood of terrorist decision outcomes into risk assessments associated with weapons of mass destruction attacks has been a significant problem for countries around the world. Developing these likelihoods gets at the heart of the most difficult predictive problems: human decision making, adaptive adversaries, and adversaries about which very little is known. A plural modeling approach is proposed that incorporates estimates of all critical uncertainties: who is the adversary and what skills and resources are available to him, what information is known to the adversary and what perceptions of the important facts are held by this group or individual, what does the adversary know about the countermeasure actions taken by the government in question, what are the adversary's objectives and the priorities of those objectives, what would trigger the adversary to start an attack and what kind of success does the adversary desire, how realistic is the adversary in estimating the success of an attack, how does the adversary make a decision and what type of model best predicts this decision-making process. A computational framework is defined to aggregate the predictions from a suite of models, based on this broad array of uncertainties. A validation approach is described that deals with a significant scarcity of data.

  7. A decision model for the risk management of hazardous processes

    International Nuclear Information System (INIS)

    Holmberg, J.E.

    1997-03-01

    A decision model for risk management of hazardous processes as an optimisation problem of a point process is formulated in the study. In the approach, the decisions made by the management are divided into three categories: (1) planned process lifetime, (2) selection of the design and, (3) operational decisions. These three controlling methods play quite different roles in the practical risk management, which is also reflected in our approach. The optimisation of the process lifetime is related to the licensing problem of the process. It provides a boundary condition for a feasible utility function that is used as the actual objective function, i.e., maximizing the process lifetime utility. By design modifications, the management can affect the inherent accident hazard rate of the process. This is usually a discrete optimisation task. The study particularly concentrates upon the optimisation of the operational strategies given a certain design and licensing time. This is done by a dynamic risk model (marked point process model) representing the stochastic process of events observable or unobservable to the decision maker. An optimal long term control variable guiding the selection of operational alternatives in short term problems is studied. The optimisation problem is solved by the stochastic quasi-gradient procedure. The approach is illustrated by a case study. (23 refs.)

  8. Robust Decision-making Applied to Model Selection

    Energy Technology Data Exchange (ETDEWEB)

    Hemez, Francois M. [Los Alamos National Laboratory

    2012-08-06

    The scientific and engineering communities are relying more and more on numerical models to simulate ever-increasingly complex phenomena. Selecting a model, from among a family of models that meets the simulation requirements, presents a challenge to modern-day analysts. To address this concern, a framework is adopted anchored in info-gap decision theory. The framework proposes to select models by examining the trade-offs between prediction accuracy and sensitivity to epistemic uncertainty. The framework is demonstrated on two structural engineering applications by asking the following question: Which model, of several numerical models, approximates the behavior of a structure when parameters that define each of those models are unknown? One observation is that models that are nominally more accurate are not necessarily more robust, and their accuracy can deteriorate greatly depending upon the assumptions made. It is posited that, as reliance on numerical models increases, establishing robustness will become as important as demonstrating accuracy.

  9. Procedural Personas for Player Decision Modeling and Procedural Content Generation

    DEFF Research Database (Denmark)

    Holmgård, Christoffer

    2016-01-01

    ." These methods for constructing procedural personas are then integrated with existing procedural content generation systems, acting as critics that shape the output of these systems, optimizing generated content for different personas and by extension, different kinds of players and their decision making styles......How can player models and artificially intelligent (AI) agents be useful in early-stage iterative game and simulation design? One answer may be as ways of generating synthetic play-test data, before a game or level has ever seen a player, or when the sampled amount of play test data is very low....... This thesis explores methods for creating low-complexity, easily interpretable, generative AI agents for use in game and simulation design. Based on insights from decision theory and behavioral economics, the thesis investigates how player decision making styles may be defined, operationalised, and measured...

  10. Managing Diverse Stakeholders

    OpenAIRE

    Pipkin, Erin; Porter, Sean; Clark, Rickie

    2017-01-01

    For every public project, there is a diverse group of stakeholders who need and want information. During this session we outline important stakeholders, how and when to involve them in the planning process, and how targeted messaging might be the key to your project’s success. We also discuss how to identify and manage stakeholders who oppose your project.

  11. Market orientation in the mental models of decision-makers

    DEFF Research Database (Denmark)

    Grunert, Klaus G.; Trondsen, Torbjørn; Campos, Emilio Gonzalo

    2010-01-01

    Purpose: This study determines whether predictions about different degrees of market orientation in two cross-border value chains also appear in the mental models of decision makers at two levels of these value chains. Design: The laddering method elicits mental models of actors in two value chains......: Norwegian salmon exported to Japan and Danish pork exported to Japan. The analysis of the mental models centers on potential overlap and linkages between actors in the value chain, including elements in the mental models that may relate to the actors' market orientation. Findings: In both value chains...

  12. Towards a More Holistic Stakeholder Analysis Approach

    DEFF Research Database (Denmark)

    Sedereviciute, Kristina; Valentini, Chiara

    2011-01-01

    are identified based on the dimensions of connectivity and the content shared. Accordingly, the study introduces four groups of important actors from social media: unconcerned lurkers, unconcerned influencers, concerned lurkers and concerned influencers and integrates them into the existing Stakeholder Salience...... in finding stakeholders on new environments (social media), where connectivity and relationships play a key role. The argument stems from the need to assess stakeholder presence beyond the dyadic ties. Consequently, the combination of the Stakeholder Salience Model (SSM) and social network analysis (SNA......) is proposed as a more holistic solution for stakeholder identification including those from social media. A process of finding “unknown” but important stakeholders from social media was identified incorporating the content search and the principles of SNA. Consequently, stakeholders from social media...

  13. Using Stakeholder Marketing and Social Responsibility for New Product Development in Higher Education: A Business Spanish Model

    Science.gov (United States)

    Huempfner, Lisa; Kopf, Dennis A.

    2017-01-01

    Higher education administrators are often faced with difficult choices in allocating limited resources for the creation of new programs. The purpose of this article is to explore the suitability of a new product, an integrated business Spanish major, by applying stakeholder marketing. In so doing, it provides a framework for the application of…

  14. Decision makers, scientists and the public as stakeholders: the connection between traffic intervention policy and air quality in a local context.

    Science.gov (United States)

    Weiand, L.; von Schneidemesser, E.; Schmitz, S.; Niehoff, N.

    2017-12-01

    Urban mobility is a key issue to make cities more inclusive, safer, and more environmentally friendly. To ensure a sustainable future, local policy should, among other actions, aim to improve access to sustainable transport systems and enhance mobility opportunities, while at the same time addressing critical environmental and health targets. In order to assess whether these objectives are met, measures should be informed and evaluated from a social and environmental perspective. Citizens' opinions and the acceptance of environmental policies are crucial to successful implementation of urban mobility measures. The complexity of urban air quality issues require transparent decision-making processes that are grounded in evidence-based research and embrace local knowledge. From this basis, our research group and the city council collaborated to assess a new policy action intended to address environmental and health targets. This talk will present the results from the assessment of this new policy, that was implemented in large part to alleviate air quality exceedances, from the perspective of public acceptability of the measure and the approach taken by the city council to implement the measure. Parallel to assessing the effect of this policy on the recorded levels of air pollution and traffic counts, we conducted a social survey to examine public opinions of this measure, as well as the link between air quality awareness and mobility decisions. 4661 responses were collected over a one month period. Survey participants were those most affected by the traffic measure, including commuters and local residents. The results show that there is an overall low acceptance rate of the measure (8%) as well as low concern for air quality (2,90 - where 1 = not concerned and 6 = very concerned). We also found that there is a negative relationship between air quality rating and air quality concern. A similar approach was taken to understand climate change concern, which will be

  15. [A model of shared decision-making in medical rehabilitation].

    Science.gov (United States)

    Körner, M

    2009-06-01

    In this article, an adjusted model of shared decision-making is presented for the sector of medical rehabilitation. This model of interaction describes shared decision-making as a process between physician and patient on the basis of shared information and with both parties equally and actively involved. The typical elements of this interaction model can be transferred to other professionals in the health care sector (i. e. therapists, nurses, social workers, etc.) as well as to the interaction between these different groups of health professionals working as a team. The idea of patient orientation is supplemented with the aspect of relations between the different groups of health professionals, hence establishing patient-oriented interaction inside the organization. In order to strengthen internal patient orientation through a process of shared decision-making between different health professionals (providers), a co-operative leadership style is required in the rehabilitation clinic. Creating the internal conditions for shared decision-making (internal patient orientation) is a prerequisite for considering needs and expectations of the patient within the treatment process (external patient orientation). Health professionals need to display the ability to create these internal conditions to allow for improvement of patient orientated treatment in terms of an integrated patient orientation. Training of the providers is a prerequisite for implementation of an integrated patient orientation in medical rehabilitation. Once a higher level of patient orientation is achieved, through participation in the provider-patient-relationship and communication between the providers within the team, an improved quality of decision-making, a higher level of patient and employee satisfaction and more positive treatment outcomes can be assumed.

  16. Tool support for Architectural Decisions

    NARCIS (Netherlands)

    Jansen, Anton; Ven, Jan van der; Avgeriou, Paris; Hammer, Dieter K.

    2007-01-01

    In contrast to software architecture models, architectural decisions are often not explicitly documented, and therefore eventually lost. This contributes to major problems such as high-cost system evolution, stakeholders miscommunication, and limited reusability of core system assets. An approach is

  17. Risk Decision Making Model for Reservoir Floodwater resources Utilization

    Science.gov (United States)

    Huang, X.

    2017-12-01

    Floodwater resources utilization(FRU) can alleviate the shortage of water resources, but there are risks. In order to safely and efficiently utilize the floodwater resources, it is necessary to study the risk of reservoir FRU. In this paper, the risk rate of exceeding the design flood water level and the risk rate of exceeding safety discharge are estimated. Based on the principle of the minimum risk and the maximum benefit of FRU, a multi-objective risk decision making model for FRU is constructed. Probability theory and mathematical statistics method is selected to calculate the risk rate; C-D production function method and emergy analysis method is selected to calculate the risk benefit; the risk loss is related to flood inundation area and unit area loss; the multi-objective decision making problem of the model is solved by the constraint method. Taking the Shilianghe reservoir in Jiangsu Province as an example, the optimal equilibrium solution of FRU of the Shilianghe reservoir is found by using the risk decision making model, and the validity and applicability of the model are verified.

  18. Preference, resistance to change, and the cumulative decision model.

    Science.gov (United States)

    Grace, Randolph C

    2018-01-01

    According to behavioral momentum theory (Nevin & Grace, 2000a), preference in concurrent chains and resistance to change in multiple schedules are independent measures of a common construct representing reinforcement history. Here I review the original studies on preference and resistance to change in which reinforcement variables were manipulated parametrically, conducted by Nevin, Grace and colleagues between 1997 and 2002, as well as more recent research. The cumulative decision model proposed by Grace and colleagues for concurrent chains is shown to provide a good account of both preference and resistance to change, and is able to predict the increased sensitivity to reinforcer rate and magnitude observed with constant-duration components. Residuals from fits of the cumulative decision model to preference and resistance to change data were positively correlated, supporting the prediction of behavioral momentum theory. Although some questions remain, the learning process assumed by the cumulative decision model, in which outcomes are compared against a criterion that represents the average outcome value in the current context, may provide a plausible model for the acquisition of differential resistance to change. © 2018 Society for the Experimental Analysis of Behavior.

  19. A System Dynamics Model for Integrated Decision Making ...

    Science.gov (United States)

    EPA’s Sustainable and Healthy Communities Research Program (SHC) is conducting transdisciplinary research to inform and empower decision-makers. EPA tools and approaches are being developed to enable communities to effectively weigh and integrate human health, socioeconomic, environmental, and ecological factors into their decisions to promote community sustainability. To help achieve this goal, EPA researchers have developed systems approaches to account for the linkages among resources, assets, and outcomes managed by a community. System dynamics (SD) is a member of the family of systems approaches and provides a framework for dynamic modeling that can assist with assessing and understanding complex issues across multiple dimensions. To test the utility of such tools when applied to a real-world situation, the EPA has developed a prototype SD model for community sustainability using the proposed Durham-Orange Light Rail Project (D-O LRP) as a case study.The EPA D-O LRP SD modeling team chose the proposed D-O LRP to demonstrate that an integrated modeling approach could represent the multitude of related cross-sectoral decisions that would be made and the cascading impacts that could result from a light rail transit system connecting Durham and Chapel Hill, NC. In keeping with the SHC vision described above, the proposal for the light rail is a starting point solution for the more intractable problems of population growth, unsustainable land use, environmenta

  20. Modeling Common-Sense Decisions in Artificial Intelligence

    Science.gov (United States)

    Zak, Michail

    2010-01-01

    A methodology has been conceived for efficient synthesis of dynamical models that simulate common-sense decision- making processes. This methodology is intended to contribute to the design of artificial-intelligence systems that could imitate human common-sense decision making or assist humans in making correct decisions in unanticipated circumstances. This methodology is a product of continuing research on mathematical models of the behaviors of single- and multi-agent systems known in biology, economics, and sociology, ranging from a single-cell organism at one extreme to the whole of human society at the other extreme. Earlier results of this research were reported in several prior NASA Tech Briefs articles, the three most recent and relevant being Characteristics of Dynamics of Intelligent Systems (NPO -21037), NASA Tech Briefs, Vol. 26, No. 12 (December 2002), page 48; Self-Supervised Dynamical Systems (NPO-30634), NASA Tech Briefs, Vol. 27, No. 3 (March 2003), page 72; and Complexity for Survival of Living Systems (NPO- 43302), NASA Tech Briefs, Vol. 33, No. 7 (July 2009), page 62. The methodology involves the concepts reported previously, albeit viewed from a different perspective. One of the main underlying ideas is to extend the application of physical first principles to the behaviors of living systems. Models of motor dynamics are used to simulate the observable behaviors of systems or objects of interest, and models of mental dynamics are used to represent the evolution of the corresponding knowledge bases. For a given system, the knowledge base is modeled in the form of probability distributions and the mental dynamics is represented by models of the evolution of the probability densities or, equivalently, models of flows of information. Autonomy is imparted to the decisionmaking process by feedback from mental to motor dynamics. This feedback replaces unavailable external information by information stored in the internal knowledge base. Representation

  1. The Cognitive Complexity in Modelling the Group Decision Process

    Directory of Open Access Journals (Sweden)

    Barna Iantovics

    2010-06-01

    Full Text Available The paper investigates for some basic contextual factors (such
    us the problem complexity, the users' creativity and the problem space complexity the cognitive complexity associated with modelling the group decision processes (GDP in e-meetings. The analysis is done by conducting a socio-simulation experiment for an envisioned collaborative software tool that acts as a stigmergic environment for modelling the GDP. The simulation results revels some interesting design guidelines for engineering some contextual functionalities that minimize the cognitive complexity associated with modelling the GDP.

  2. A Product Development Decision Model for Cockpit Weather Information System

    Science.gov (United States)

    Sireli, Yesim; Kauffmann, Paul; Gupta, Surabhi; Kachroo, Pushkin; Johnson, Edward J., Jr. (Technical Monitor)

    2003-01-01

    There is a significant market demand for advanced cockpit weather information products. However, it is unclear how to identify the most promising technological options that provide the desired mix of consumer requirements by employing feasible technical systems at a price that achieves market success. This study develops a unique product development decision model that employs Quality Function Deployment (QFD) and Kano's model of consumer choice. This model is specifically designed for exploration and resolution of this and similar information technology related product development problems.

  3. A Product Development Decision Model for Cockpit Weather Information Systems

    Science.gov (United States)

    Sireli, Yesim; Kauffmann, Paul; Gupta, Surabhi; Kachroo, Pushkin

    2003-01-01

    There is a significant market demand for advanced cockpit weather information products. However, it is unclear how to identify the most promising technological options that provide the desired mix of consumer requirements by employing feasible technical systems at a price that achieves market success. This study develops a unique product development decision model that employs Quality Function Deployment (QFD) and Kano's model of consumer choice. This model is specifically designed for exploration and resolution of this and similar information technology related product development problems.

  4. Modeling and Testing Landslide Hazard Using Decision Tree

    Directory of Open Access Journals (Sweden)

    Mutasem Sh. Alkhasawneh

    2014-01-01

    Full Text Available This paper proposes a decision tree model for specifying the importance of 21 factors causing the landslides in a wide area of Penang Island, Malaysia. These factors are vegetation cover, distance from the fault line, slope angle, cross curvature, slope aspect, distance from road, geology, diagonal length, longitude curvature, rugosity, plan curvature, elevation, rain perception, soil texture, surface area, distance from drainage, roughness, land cover, general curvature, tangent curvature, and profile curvature. Decision tree models are used for prediction, classification, and factors importance and are usually represented by an easy to interpret tree like structure. Four models were created using Chi-square Automatic Interaction Detector (CHAID, Exhaustive CHAID, Classification and Regression Tree (CRT, and Quick-Unbiased-Efficient Statistical Tree (QUEST. Twenty-one factors were extracted using digital elevation models (DEMs and then used as input variables for the models. A data set of 137570 samples was selected for each variable in the analysis, where 68786 samples represent landslides and 68786 samples represent no landslides. 10-fold cross-validation was employed for testing the models. The highest accuracy was achieved using Exhaustive CHAID (82.0% compared to CHAID (81.9%, CRT (75.6%, and QUEST (74.0% model. Across the four models, five factors were identified as most important factors which are slope angle, distance from drainage, surface area, slope aspect, and cross curvature.

  5. What constitutes an effective community pharmacy?--development of a preliminary model of organizational effectiveness through concept mapping with multiple stakeholders.

    Science.gov (United States)

    Scahill, S L; Harrison, J; Carswell, P

    2010-08-01

    To develop a multi-constituent model of organizational effectiveness for community pharmacy. Using Concept Systems software, a project with 14 stakeholders included a three stage process: (i) face to face brainstorming to generate statements describing what constitutes an effective community pharmacy, followed by (ii) statement reduction and approval by participants, followed by (iii) sorting of the statements into themes with rating of each statement for importance. Primary care in a government-funded, national health care system. A multi-constituent group representing policy-makers and health care providers including; community pharmacy, professional pharmacy organizations, primary health care funders and policy-makers, general practitioners and general practice support organizations. Statement clusters included: 'has safe and effective workflows', 'contributes to the safe use of medicines', 'manages human resources and has leadership', 'has a community focus', 'is integrated within primary care', 'is a respected innovator', 'provides health promotion and preventative care', 'communicates and advocates'. These clusters fit into a quadrant model setting stakeholder focus against role development. The poles of stakeholder focus are 'internal capacity' and 'social utility'. The poles of role development are labelled 'traditional safety roles' and 'integration and innovation'. Organizational effectiveness in community pharmacy includes the internal and external focus of the organization and role development. Our preliminary model describes an effective community pharmacy and provides a platform for investigation of the factors that may influence the organizational effectiveness of individual community pharmacies now and into the future.

  6. A Model for an Intelligent Support Decision System in Aquaculture

    OpenAIRE

    Novac Ududec, Cornelia / C

    2009-01-01

    The paper purpose an intelligent software system agents–based to support decision in aquculture and the approach of fish diagnosis with informatics methods, techniques and solutions. A major purpose is to develop new methods and techniques for quick fish diagnosis, treatment and prophyilaxis at infectious and parasite-based known disorders, that may occur at fishes raised in high density in intensive raising systems. But, the goal of this paper is to presents a model of an intelligent agents-...

  7. A Hybrid Multiple Criteria Decision Making Model for Supplier Selection

    OpenAIRE

    Wu, Chung-Min; Hsieh, Ching-Lin; Chang, Kuei-Lun

    2013-01-01

    The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights. To avoid calculation and additional pairwise compa...

  8. Stochastic Watershed Models for Risk Based Decision Making

    Science.gov (United States)

    Vogel, R. M.

    2017-12-01

    Over half a century ago, the Harvard Water Program introduced the field of operational or synthetic hydrology providing stochastic streamflow models (SSMs), which could generate ensembles of synthetic streamflow traces useful for hydrologic risk management. The application of SSMs, based on streamflow observations alone, revolutionized water resources planning activities, yet has fallen out of favor due, in part, to their inability to account for the now nearly ubiquitous anthropogenic influences on streamflow. This commentary advances the modern equivalent of SSMs, termed `stochastic watershed models' (SWMs) useful as input to nearly all modern risk based water resource decision making approaches. SWMs are deterministic watershed models implemented using stochastic meteorological series, model parameters and model errors, to generate ensembles of streamflow traces that represent the variability in possible future streamflows. SWMs combine deterministic watershed models, which are ideally suited to accounting for anthropogenic influences, with recent developments in uncertainty analysis and principles of stochastic simulation

  9. LEADERSHIP MODELS AND EFFICIENCY IN DECISION CRISIS SITUATIONS, DURING DISASTERS

    Directory of Open Access Journals (Sweden)

    JAIME RIQUELME CASTAÑEDA

    2017-09-01

    Full Text Available This article explains how an effective leadership is made on a team during an emergency, during a decision crisis in the context of a disaster. From the approach of the process, we analyze some variables such as flexibility, value congruence, rationality, politicization, and quality of design. To achieve that, we made a fi eld work with the information obtained from the three Emergency headquarters deployed by the Chilean Armed Forces, due to the effects of the 8.8 earthquake on February 27th 2010. The data is analyzed through econometric technics. The results suggested that the original ideas and the rigorous analysis are the keys to secure the quality of the decision. It also, made possible to unveil the fact, that to have efficiency in operations in a disaster, it requires a big presence of a vision, mission, and inspiration about a solid and pre-existing base of goals and motivations. Finally, we can fi nd the support to the relationship between kinds of leadership and efficiency on crisis decision-making process of the disaster and opens a space to build a decision making theoretic model.

  10. An environmentally sustainable decision model for urban solid waste management

    International Nuclear Information System (INIS)

    Costi, P.; Minciardi, R.; Robba, M.; Rovatti, M.; Sacile, R.

    2004-01-01

    The aim of this work is to present the structure and the application of a decision support system (DSS) designed to help decision makers of a municipality in the development of incineration, disposal, treatment and recycling integrated programs. Specifically, within a MSW management system, several treatment plants and facilities can generally be found: separators, plants for production of refuse derived fuel (RDF), incinerators with energy recovery, plants for treatment of organic material, and sanitary landfills. The main goal of the DSS is to plan the MSW management, defining the refuse flows that have to be sent to recycling or to different treatment or disposal plants, and suggesting the optimal number, the kinds, and the localization of the plants that have to be active. The DSS is based on a decision model that requires the solution of a constrained non-linear optimization problem, where some decision variables are binary and other ones are continuous. The objective function takes into account all possible economic costs, whereas constraints arise from technical, normative, and environmental issues. Specifically, pollution and impacts, induced by the overall solid waste management system, are considered through the formalization of constraints on incineration emissions and on negative effects produced by disposal or other particular treatments

  11. Acceptability and Perceived Benefits and Risks of Public and Patient Involvement in Health Care Policy: A Delphi Survey in Belgian Stakeholders.

    Science.gov (United States)

    Cleemput, Irina; Christiaens, Wendy; Kohn, Laurence; Léonard, Christian; Daue, François; Denis, Alain

    2015-06-01

    In systems with public health insurance, coverage decisions should reflect social values. Deliberation among stakeholders could achieve this goal, but rarely involves patients and citizens directly. This study aimed at evaluating the acceptability, and the perceived benefits and risks, of public and patient involvement (PPI) in coverage decision making to Belgian stakeholders. A two-round Delphi survey was conducted among all stakeholder groups. The survey was constructed on the basis of interviews with 10 key stakeholders and a review of the literature on participation models. Consensus was defined as 65% or more of the respondents agreeing with a statement and less than 15% disagreeing. Eighty stakeholders participated in both rounds. They were defined as the Delphi panel. Belgian stakeholders are open toward PPI in coverage decision processes. Benefits are expected to exceed risks. The preferred model for involvement is to consult citizens or patients, within the existing decision-making structures and at specific milestones in the process. Consulting citizens and patients is a higher level of involvement than merely informing them and a lower level than letting them participate actively. Consultation involves asking nonbinding advice on (parts of) the decision problem. According to the Delphi panel, the benefits of PPI could be increasing awareness among members of the general public and patients about the challenges and costs of health care, and enriched decision processes with expertise by experience from patients. Potential risks include subjectivity, insufficient resources to participate and weigh on the process, difficulties in finding effective ways to express a collective opinion, the risk of manipulation, and lobbying or power games of other stakeholders. PPI in coverage decision-making processes is acceptable to Belgian stakeholders, be it in different ways for different types of decisions. Benefits are expected to outweigh risks. Copyright © 2015

  12. Early Engagement of Stakeholders with Individual-Based Modeling Can Inform Research for Improving Invasive Species Management: The Round Goby as a Case Study

    Directory of Open Access Journals (Sweden)

    Emma Samson

    2017-11-01

    Full Text Available Individual-based models (IBMs incorporating realistic representations of key range-front processes such as dispersal can be used as tools to investigate the dynamics of invasive species. Managers can apply insights from these models to take effective action to prevent further spread and prioritize measures preventing establishment of invasive species. We highlight here how early-stage IBMs (constructed under constraints of time and data availability can also play an important role in defining key research priorities for providing key information on the biology of an invasive species in order that subsequent models can provide robust insight into potential management interventions. The round goby, Neogobius melanostomus, is currently spreading through the Baltic Sea, with major negative effects being reported in the wake of its invasion. Together with stakeholders, we parameterize an IBM to investigate the goby's potential spread pattern throughout the Gulf of Gdansk and the Baltic Sea. Model parameters were assigned by integrating information obtained through stakeholder interaction, from scientific literature, or estimated using an inverse modeling approach when not available. IBMs can provide valuable direction to research on invasive species even when there is limited data and/or time available to parameterize/fit them to the degree to which we might aspire in an ideal world. Co-development of models with stakeholders can be used to recognize important invasion patterns, in addition to identifying and estimating unknown environmental parameters, thereby guiding the direction of future research. Well-parameterized and validated models are not required in the earlier stages of the modeling cycle where their main utility is as a tool for thought.

  13. Behavioural modelling of irrigation decision making under water scarcity

    Science.gov (United States)

    Foster, T.; Brozovic, N.; Butler, A. P.

    2013-12-01

    Providing effective policy solutions to aquifer depletion caused by abstraction for irrigation is a key challenge for socio-hydrology. However, most crop production functions used in hydrological models do not capture the intraseasonal nature of irrigation planning, or the importance of well yield in land and water use decisions. Here we develop a method for determining stochastic intraseasonal water use that is based on observed farmer behaviour but is also theoretically consistent with dynamically optimal decision making. We use the model to (i) analyse the joint land and water use decision by farmers; (ii) to assess changes in behaviour and production risk in response to water scarcity; and (iii) to understand the limits of applicability of current methods in policy design. We develop a biophysical model of water-limited crop yield building on the AquaCrop model. The model is calibrated and applied to case studies of irrigated corn production in Nebraska and Texas. We run the model iteratively, using long-term climate records, to define two formulations of the crop-water production function: (i) the aggregate relationship between total seasonal irrigation and yield (typical of current approaches); and (ii) the stochastic response of yield and total seasonal irrigation to the choice of an intraseasonal soil moisture target and irrigated area. Irrigated area (the extensive margin decision) and per-area irrigation intensity (the intensive margin decision) are then calculated for different seasonal water restrictions (corresponding to regulatory policies) and well yield constraints on intraseasonal abstraction rates (corresponding to aquifer system limits). Profit- and utility-maximising decisions are determined assuming risk neutrality and varying degrees of risk aversion, respectively. Our results demonstrate that the formulation of the production function has a significant impact on the response to water scarcity. For low well yields, which are the major concern

  14. Decision tree models for data mining in hit discovery.

    Science.gov (United States)

    Hammann, Felix; Drewe, Juergen

    2012-04-01

    Decision tree induction (DTI) is a powerful means of modeling data without much prior preparation. Models are readable by humans, robust and easily applied in real-world applications, features that are mutually exclusive in other commonly used machine learning paradigms. While DTI is widely used in disciplines ranging from economics to medicine, they are an intriguing option in pharmaceutical research, especially when dealing with large data stores. This review covers the automated technologies available for creating decision trees and other rules efficiently, even from large datasets such as chemical libraries. The authors discuss the need for properly documented and validated models. Lastly, the authors cover several case studies in hit discovery, drug metabolism and toxicology, and drug surveillance, and compare them with other established techniques. DTI is a competitive and easy-to-use tool in basic research as well as in hit and drug discovery. Its strengths lie in its ability to handle all sorts of different data formats, the visual nature of the models, and the small computational effort needed for implementation in real-world systems. Limitations include lack of robustness and over-fitted models for certain types of data. As with any modeling technique, proper validation and quality measures are of utmost importance. © 2012 Informa UK, Ltd.

  15. Economic decision making and the application of nonparametric prediction models

    Science.gov (United States)

    Attanasi, E.D.; Coburn, T.C.; Freeman, P.A.

    2008-01-01

    Sustained increases in energy prices have focused attention on gas resources in low-permeability shale or in coals that were previously considered economically marginal. Daily well deliverability is often relatively small, although the estimates of the total volumes of recoverable resources in these settings are often large. Planning and development decisions for extraction of such resources must be areawide because profitable extraction requires optimization of scale economies to minimize costs and reduce risk. For an individual firm, the decision to enter such plays depends on reconnaissance-level estimates of regional recoverable resources and on cost estimates to develop untested areas. This paper shows how simple nonparametric local regression models, used to predict technically recoverable resources at untested sites, can be combined with economic models to compute regional-scale cost functions. The context of the worked example is the Devonian Antrim-shale gas play in the Michigan basin. One finding relates to selection of the resource prediction model to be used with economic models. Models chosen because they can best predict aggregate volume over larger areas (many hundreds of sites) smooth out granularity in the distribution of predicted volumes at individual sites. This loss of detail affects the representation of economic cost functions and may affect economic decisions. Second, because some analysts consider unconventional resources to be ubiquitous, the selection and order of specific drilling sites may, in practice, be determined arbitrarily by extraneous factors. The analysis shows a 15-20% gain in gas volume when these simple models are applied to order drilling prospects strategically rather than to choose drilling locations randomly. Copyright ?? 2008 Society of Petroleum Engineers.

  16. Modeling human decision making behavior in supervisory control

    Science.gov (United States)

    Tulga, M. K.; Sheridan, T. B.

    1977-01-01

    An optimal decision control model was developed, which is based primarily on a dynamic programming algorithm which looks at all the available task possibilities, charts an optimal trajectory, and commits itself to do the first step (i.e., follow the optimal trajectory during the next time period), and then iterates the calculation. A Bayesian estimator was included which estimates the tasks which might occur in the immediate future and provides this information to the dynamic programming routine. Preliminary trials comparing the human subject's performance to that of the optimal model show a great similarity, but indicate that the human skips certain movements which require quick change in strategy.

  17. Environmental indicators and international models for making decision

    International Nuclear Information System (INIS)

    Polanco, Camilo

    2006-01-01

    The last international features proposed by the Organization for Economic Cooperation Development (OECD) and United Nations (UN) are analyzed in the use of the environmental indicators, in typology, selection criteria, and models, for organizing the information for management, environmental performance, and decision making. The advantages and disadvantages of each model are analyzed, as well as their environmental index characteristics. The analyzed models are Pressure - State - Response (PSR) and its conceptual developments: Driving Force - State Response (DSR), Driving Force - Pressure - State - Impact - Response (DPSIR), Model- Flow-Quality (MFQ), Pressure - State - Impact - Effect - Response (PSIER), and, finally, Pressure-State - Impact - Effect - Response - Management (PSIERM). The use of one or another model will depend on the quality of the available information, as well as on the proposed objectives

  18. Pavement maintenance optimization model using Markov Decision Processes

    Science.gov (United States)

    Mandiartha, P.; Duffield, C. F.; Razelan, I. S. b. M.; Ismail, A. b. H.

    2017-09-01

    This paper presents an optimization model for selection of pavement maintenance intervention using a theory of Markov Decision Processes (MDP). There are some particular characteristics of the MDP developed in this paper which distinguish it from other similar studies or optimization models intended for pavement maintenance policy development. These unique characteristics include a direct inclusion of constraints into the formulation of MDP, the use of an average cost method of MDP, and the policy development process based on the dual linear programming solution. The limited information or discussions that are available on these matters in terms of stochastic based optimization model in road network management motivates this study. This paper uses a data set acquired from road authorities of state of Victoria, Australia, to test the model and recommends steps in the computation of MDP based stochastic optimization model, leading to the development of optimum pavement maintenance policy.

  19. Effective stakeholder management for medical practitioners

    Directory of Open Access Journals (Sweden)

    E Zigiriadis

    2014-01-01

    Full Text Available The importance of organizational-stakeholder relationships is highlighted in most organizational studies literature. This article investigates the relationship between medical practices and their stakeholders and has been developed to provide guidance on stakeholder engagement and communication. It is intended to provide a useful reference point for all medical practices concerning stakeholder engagement activities. Direction is provided on how to identify and ultimately engage with stakeholders. It should hopefully further develop the effectiveness of engagement efforts that are undertaken between a medical practice and its stakeholders. The ability of a medical practice to cultivate and sustain strong relationships with its prominent stakeholder groups greatly enhances the likelihood that the relationship will endure. Medical practitioners in South Africa are generally in urgent need of pursuing new ways of delivering quality health care through developing new service models that have been developed with the help of relevant stakeholders. Since stakeholder relationship management is critical for corporate sustainability, medical practice management should seek strategic direction by investigating the relative competitive threat and relative supportive value of each stakeholder and then classify them accordingly.

  20. Stakeholder Relationships in Higher Education

    Science.gov (United States)

    Kettunen, Juha

    2015-01-01

    The purpose of this study is to develop a stakeholder map to describe the most important stakeholders and the process of stakeholder relationships in higher education. According to the perspective of the balanced scorecard, the classification of stakeholders integrates stakeholders into strategic management. Stakeholder maps are essential in…

  1. Modeling of shallot supply decisions: the case of Indonesia

    Science.gov (United States)

    Prabawati, N. F.; Pujawan, I. N.; Widodo, E.

    2018-04-01

    To optimize supply chain role, the players of supply chain need to integrate its function. One of the general problems in supply chain was the unbalanced quantity of sales and quantity of supply. This paper focused on modelling a simple method to manage the gap between the demand and the supply. The gap might cause an overstock or a loss. This paper propose a buffer quantity in order to handle the gap by using import decision. The case study was about shallot supply - demand in Indonesia. In this study we model the supply decisions of shallot in Indonesia. While the demand was quite stable over time, the supply was heavily affected by the yield from the farms. The shortage could result in the government importing shallot from other countries. Hence, the government also needed to have a proper buffering mechanism in order to ensure the supply was sufficient and the price was quite stable. The initial model of this research was built by stochastic parameters and the extended model to gain pricing mechanism was built by Shapley value principal with modification. The primary variables were supply quantity, demand quantity, buffer and purchased quantity (stock needed), actual consumption, and price for three players. The validation proved that the result of price at each player presented a significant difference. Therefore, the model could be applied to decide the stock quantity needed and to keep the price stable at each player especially at the end player which would influence the market price.

  2. Quantum-Like Bayesian Networks for Modeling Decision Making

    Directory of Open Access Journals (Sweden)

    Catarina eMoreira

    2016-01-01

    Full Text Available In this work, we explore an alternative quantum structure to perform quantum probabilistic inferences to accommodate the paradoxical findings of the Sure Thing Principle. We propose a Quantum-Like Bayesian Network, which consists in replacing classical probabilities by quantum probability amplitudes. However, since this approach suffers from the problem of exponential growth of quantum parameters, we also propose a similarity heuristic that automatically fits quantum parameters through vector similarities. This makes the proposed model general and predictive in contrast to the current state of the art models, which cannot be generalized for more complex decision scenarios and that only provide an explanatory nature for the observed paradoxes. In the end, the model that we propose consists in a nonparametric method for estimating inference effects from a statistical point of view. It is a statistical model that is simpler than the previous quantum dynamic and quantum-like models proposed in the literature. We tested the proposed network with several empirical data from the literature, mainly from the Prisoner's Dilemma game and the Two Stage Gambling game. The results obtained show that the proposed quantum Bayesian Network is a general method that can accommodate violations of the laws of classical probability theory and make accurate predictions regarding human decision-making in these scenarios.

  3. Ising model for collective decision making during group motion

    Science.gov (United States)

    Pinkoviezky, Itai; Gov, Nir; Couzin, Iain

    Collective decision making is a key feature during natural motion of animal groups and is also crucial for human groups. This phenomenon can be exemplified by the scenario of two subgroups that hold conflicting preferred directions of motion. The constraint of group cohesion drives the motion either towards a compromise or towards one of the preferred targets. The transition between compromise and decision has been found in simulations of flock models, but the nature of this transition is not well understood. We present a minimal spin model for this system where we interpret the spin-spin interaction as a social force. This model exhibits both first and second order transitions. The group motion changes from size-dependent diffusion at high temperatures to run-and-tumble motion below the critical temperature. In the presence of minority and majority subgroups, we find that there is a trade-off between the speed of reaching a target and the accuracy. We then compare the results of the spin model to detailed simulations of a flock model, and find overall very similar dynamics, with the role of the temperature taken by the inverse of the number of uninformed individuals.

  4. Effects of stochastic interest rates in decision making under risk: A Markov decision process model for forest management

    Science.gov (United States)

    Mo Zhou; Joseph Buongiorno

    2011-01-01

    Most economic studies of forest decision making under risk assume a fixed interest rate. This paper investigated some implications of this stochastic nature of interest rates. Markov decision process (MDP) models, used previously to integrate stochastic stand growth and prices, can be extended to include variable interest rates as well. This method was applied to...

  5. Corporate Citizenship and Stakeholder Engagement : Maintaining an Equitable Power Balance

    OpenAIRE

    Ihugba, Bethel Uzoma; Osuji, Onyeka K.

    2011-01-01

    This paper proposes an engagement oriented corporation-stakeholder relationship in Corporate Social Responsibility (CSR) programmes. It is a proposition which poses the two connected questions of how to move from solely public relation driven stakeholder management to social development oriented stakeholder participation (engagement) and how Stakeholder Engagement can be measured. On the backdrop of Arnstein’s (1969) citizenship participation model and reasons for Stakeholder Engagement frame...

  6. Corporate Stakeholding and Globalism

    DEFF Research Database (Denmark)

    Lauesen, Linne Marie

    2016-01-01

    , the global warming, the disasters of global consumerism in terms of the collapse of the Rana Plaza factory in the fashion industry, are examples of how the stakeholder concept cannot continue to be defined as narrow as corporations usually does. The butterfly effect of globalism has shown to be – yes, global...... how to revise the stakeholder concept according to corporate responsibility, company stakeholding and globalism. It points to shortcomings in various global trade systems such as banking, fashion and IT markets, and through these it suggests and discusses a new way of defining the stakeholder concept...

  7. A naturalistic decision making model for simulated human combatants

    International Nuclear Information System (INIS)

    HUNTER, KEITH O.; HART, WILLIAM E.; FORSYTHE, JAMES C.

    2000-01-01

    The authors describe a naturalistic behavioral model for the simulation of small unit combat. This model, Klein's recognition-primed decision making (RPD) model, is driven by situational awareness rather than a rational process of selecting from a set of action options. They argue that simulated combatants modeled with RPD will have more flexible and realistic responses to a broad range of small-scale combat scenarios. Furthermore, they note that the predictability of a simulation using an RPD framework can be easily controlled to provide multiple evaluations of a given combat scenario. Finally, they discuss computational issues for building an RPD-based behavior engine for fully automated combatants in small conflict scenarios, which are being investigated within Sandia's Next Generation Site Security project

  8. Stakeholder-driven multi-attribute analysis for energy project selection under uncertainty

    International Nuclear Information System (INIS)

    Read, Laura; Madani, Kaveh; Mokhtari, Soroush; Hanks, Catherine

    2017-01-01

    In practice, selecting an energy project for development requires balancing criteria and competing stakeholder priorities to identify the best alternative. Energy source selection can be modeled as multi-criteria decision-maker problems to provide quantitative support to reconcile technical, economic, environmental, social, and political factors with respect to the stakeholders' interests. Decision making among these complex interactions should also account for the uncertainty present in the input data. In response, this work develops a stochastic decision analysis framework to evaluate alternatives by involving stakeholders to identify both quantitative and qualitative selection criteria and performance metrics which carry uncertainties. The developed framework is illustrated using a case study from Fairbanks, Alaska, where decision makers and residents must decide on a new source of energy for heating and electricity. We approach this problem in a five step methodology: (1) engaging experts (role players) to develop criteria of project performance; (2) collecting a range of quantitative and qualitative input information to determine the performance of each proposed solution according to the selected criteria; (3) performing a Monte-Carlo analysis to capture uncertainties given in the inputs; (4) applying multi-criteria decision-making, social choice (voting), and fallback bargaining methods to account for three different levels of cooperation among the stakeholders; and (5) computing an aggregate performance index (API) score for each alternative based on its performance across criteria and cooperation levels. API scores communicate relative performance between alternatives. In this way, our methodology maps uncertainty from the input data to reflect risk in the decision and incorporates varying degrees of cooperation into the analysis to identify an optimal and practical alternative. - Highlights: • We develop an applicable stakeholder-driven framework

  9. Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies

    Science.gov (United States)

    Chalabi, Zaid; Milojevic, Ai; Doherty, Ruth M.; Stevenson, David S.; MacKenzie, Ian A.; Milner, James; Vieno, Massimo; Williams, Martin; Wilkinson, Paul

    2017-10-01

    A decision support system for evaluating UK air quality policies is presented. It combines the output from a chemistry transport model, a health impact model and other impact models within a multi-criteria decision analysis (MCDA) framework. As a proof-of-concept, the MCDA framework is used to evaluate and compare idealized emission reduction policies in four sectors (combustion in energy and transformation industries, non-industrial combustion plants, road transport and agriculture) and across six outcomes or criteria (mortality, health inequality, greenhouse gas emissions, biodiversity, crop yield and air quality legal compliance). To illustrate a realistic use of the MCDA framework, the relative importance of the criteria were elicited from a number of stakeholders acting as proxy policy makers. In the prototype decision problem, we show that reducing emissions from industrial combustion (followed very closely by road transport and agriculture) is more advantageous than equivalent reductions from the other sectors when all the criteria are taken into account. Extensions of the MCDA framework to support policy makers in practice are discussed.

  10. Structured decision making as a framework for large-scale wildlife harvest management decisions

    Science.gov (United States)

    Robinson, Kelly F.; Fuller, Angela K.; Hurst, Jeremy E.; Swift, Bryan L.; Kirsch, Arthur; Farquhar, James F.; Decker, Daniel J.; Siemer, William F.

    2016-01-01

    Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (Odocoileus virginianus) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.

  11. A hybrid health service accreditation program model incorporating mandated standards and continuous improvement: interview study of multiple stakeholders in Australian health care.

    Science.gov (United States)

    Greenfield, David; Hinchcliff, Reece; Hogden, Anne; Mumford, Virginia; Debono, Deborah; Pawsey, Marjorie; Westbrook, Johanna; Braithwaite, Jeffrey

    2016-07-01

    The study aim was to investigate the understandings and concerns of stakeholders regarding the evolution of health service accreditation programs in Australia. Stakeholder representatives from programs in the primary, acute and aged care sectors participated in semi-structured interviews. Across 2011-12 there were 47 group and individual interviews involving 258 participants. Interviews lasted, on average, 1 h, and were digitally recorded and transcribed. Transcriptions were analysed using textual referencing software. Four significant issues were considered to have directed the evolution of accreditation programs: altering underlying program philosophies; shifting of program content focus and details; different surveying expectations and experiences and the influence of external contextual factors upon accreditation programs. Three accreditation program models were noted by participants: regulatory compliance; continuous quality improvement and a hybrid model, incorporating elements of these two. Respondents noted the compatibility or incommensurability of the first two models. Participation in a program was reportedly experienced as ranging on a survey continuum from "malicious compliance" to "performance audits" to "quality improvement journeys". Wider contextual factors, in particular, political and community expectations, and associated media reporting, were considered significant influences on the operation and evolution of programs. A hybrid accreditation model was noted to have evolved. The hybrid model promotes minimum standards and continuous quality improvement, through examining the structure and processes of organisations and the outcomes of care. The hybrid model appears to be directing organisational and professional attention to enhance their safety cultures. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  12. Board Effectiveness and Employee Engagement: Nigeria Stakeholder Perceptions

    Directory of Open Access Journals (Sweden)

    Bashir Mande

    2013-03-01

    Full Text Available The objective of this study is to determine whether employee participation yields effective board performance. To stimulatedebates inthe stakeholder theoretical perspective in an attempt to offer more inclusive approach to strengthen the existing governance structure in Nigeria.This research intends to investigate the suitability of employees participating in board’s decision-making hierarchy because of their contractual importance as wealth creators of the firm. A conceptual model is proposed and tested on public listed companies in Nigeria based on survey perception of sampled 154 respondents. The study employs in-depth confirmatory factory analysis in a structural equation modeling approach. Building upon constructs such as union relations, productivity, and skilled-labor turnover, the study found the indicator variables measure employee participation, which focused more on the board’s control, operational decisions, and strategy in monitoring, service, and networking roles. Hence, we conclude that employees as important contractual company stakeholders affect board performance. Builds on the limited research agenda for boards and corporate governance that focus on coordinating, exploring and distribution of stakes using adventurous research designs and statistical tools, especially in Nigerian emerging economy. This paper exposes the firm’s potentials as provider of sustainable and longer-term benefits not only limited to equityholders, but also to employees as wealth creators, which will improve mutual trust, harmony and confidence for more stable and productive outputs that could give visibility to income inequality. The paper provides valid measures that link corporate governance debates to broader stakeholder perspective.

  13. How do stakeholders from multiple hierarchical levels of a large provincial health system define engagement? A qualitative study.

    Science.gov (United States)

    Norris, Jill M; White, Deborah E; Nowell, Lorelli; Mrklas, Kelly; Stelfox, Henry T

    2017-08-01

    Engaging stakeholders from varied organizational levels is essential to successful healthcare quality improvement. However, engagement has been hard to achieve and to measure across diverse stakeholders. Further, current implementation science models provide little clarity about what engagement means, despite its importance. The aim of this study was to understand how stakeholders of healthcare improvement initiatives defined engagement. Participants (n = 86) in this qualitative thematic study were purposively sampled for individual interviews. Participants included leaders, core members, frontline clinicians, support personnel, and other stakeholders of Strategic Clinical Networks in Alberta Health Services, a Canadian provincial health system with over 108,000 employees. We used an iterative thematic approach to analyze participants' responses to the question, "How do you define engagement?" Regardless of their organizational role, participants defined engagement through three interrelated themes. First, engagement was active participation from willing and committed stakeholders, with levels that ranged from information sharing to full decision-making. Second, engagement centered on a shared decision-making process about meaningful change for everyone "around the table," those who are most impacted. Third, engagement was two-way interactions that began early in the change process, where exchanges were respectful and all stakeholders felt heard and understood. This study highlights the commonalities of how stakeholders in a large healthcare system defined engagement-a shared understanding and terminology-to guide and improve stakeholder engagement. Overall, engagement was an active and committed decision-making about a meaningful problem through respectful interactions and dialog where everyone's voice is considered. Our results may be used in conjunction with current implementation models to provide clarity about what engagement means and how to engage various

  14. A strategic decision-making model considering the social costs of carbon dioxide emissions for sustainable supply chain management.

    Science.gov (United States)

    Tseng, Shih-Chang; Hung, Shiu-Wan

    2014-01-15

    Incorporating sustainability into supply chain management has become a critical issue driven by pressures from governments, customers, and various stakeholder groups over the past decade. This study proposes a strategic decision-making model considering both the operational costs and social costs caused by the carbon dioxide emissions from operating such a supply chain network for sustainable supply chain management. This model was used to evaluate carbon dioxide emissions and operational costs under different scenarios in an apparel manufacturing supply chain network. The results showed that the higher the social cost rate of carbon dioxide emissions, the lower the amount of the emission of carbon dioxide. The results also suggested that a legislation that forces the enterprises to bear the social costs of carbon dioxide emissions resulting from their economic activities is an effective approach to reducing carbon dioxide emissions. Copyright © 2013 Elsevier Ltd. All rights reserved.

  15. Multiple attribute decision making model and application to food safety risk evaluation.

    Science.gov (United States)

    Ma, Lihua; Chen, Hong; Yan, Huizhe; Yang, Lifeng; Wu, Lifeng

    2017-01-01

    Decision making for supermarket food purchase decisions are characterized by network relationships. This paper analyzed factors that influence supermarket food selection and proposes a supplier evaluation index system based on the whole process of food production. The author established the intuitive interval value fuzzy set evaluation model based on characteristics of the network relationship among decision makers, and validated for a multiple attribute decision making case study. Thus, the proposed model provides a reliable, accurate method for multiple attribute decision making.

  16. Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA

    Science.gov (United States)

    Jenni, K.; Graves, D.; Hardiman, Jill M.; Hatten, James R.; Mastin, Mark C.; Mesa, Matthew G.; Montag, J.; Nieman, Timothy; Voss, Frank D.; Maule, Alec G.

    2014-01-01

    Designing climate-related research so that study results will be useful to natural resource managers is a unique challenge. While decision makers increasingly recognize the need to consider climate change in their resource management plans, and climate scientists recognize the importance of providing locally-relevant climate data and projections, there often remains a gap between management needs and the information that is available or is being collected. We used decision analysis concepts to bring decision-maker and stakeholder perspectives into the applied research planning process. In 2009 we initiated a series of studies on the impacts of climate change in the Yakima River Basin (YRB) with a four-day stakeholder workshop, bringing together managers, stakeholders, and scientists to develop an integrated conceptual model of climate change and climate change impacts in the YRB. The conceptual model development highlighted areas of uncertainty that limit the understanding of the potential impacts of climate change and decision alternatives by those who will be most directly affected by those changes, and pointed to areas where additional study and engagement of stakeholders would be beneficial. The workshop and resulting conceptual model highlighted the importance of numerous different outcomes to stakeholders in the basin, including social and economic outcomes that go beyond the physical and biological outcomes typically reported in climate impacts studies. Subsequent studies addressed several of those areas of uncertainty, including changes in water temperatures, habitat quality, and bioenergetics of salmonid populations.

  17. The analysis of the capacity of the selected measures of decision-making models in companies

    OpenAIRE

    Helena Kościelniak; Beata Skowron-Grabowska; Sylwia Łęgowik-Świącik; Małgorzata Łęgowik-Małolepsza

    2015-01-01

    The paper aims at the analysis of the information capacity of selected instruments of the assessment of decision-making models in the analyzed companies. In the paper there are presented the idea and concepts of decision-making models. There have been discussed the selected instruments of the assessment of decision-making models in enterprises. In the final part of the paper there has been held the quantification of decision- making models in the investigated cement industry companies. To mee...

  18. Mental Models Theory and Military Decision-Marking: A Pilot Experimental Model

    National Research Council Canada - National Science Library

    Sparkes, Jason

    2003-01-01

    ...) and in the military (e.g., the USS Vincennes incident). In particular, construction of the mental models used when making critical decisions is vulnerable to both problem complexity and logically conflicting (false) information...

  19. A novel framework for analysing stakeholder interest in healthy foods: A case study on iodine biofortification.

    Science.gov (United States)

    Mogendi, Joseph Birundu; De Steur, Hans; Gellynck, Xavier; Makokha, Anselimo

    2016-01-01

    Despite the availability of novel strategies to prevent micronutrient malnutrition, such as biofortification, limited understanding of stakeholders often hampers their success. We build upon the existing literature on protection motivations (PMT) and technology acceptance (TAM) to develop an integrated PMTAM model for analyzing stakeholders' reactions, on both the supply and demand sides. Regarding the latter, the case of the iodine biofortified food chain is used to evaluate African households' interest. All model constructs, and threat appraisal in particular, are decisive in determining the uptake of biofortification, while also social demographics and own nutrition status play an important role.

  20. Design of Graph Analysis Model to support Decision Making

    International Nuclear Information System (INIS)

    An, Sang Ha; Lee, Sung Jin; Chang, Soon Heung; Kim, Sung Ho; Kim, Tae Woon

    2005-01-01

    Korea is meeting the growing electric power needs by using nuclear, fissile, hydro energy and so on. But we can not use fissile energy forever, and the people's consideration about nature has been changed. So we have to prepare appropriate energy by the conditions before people need more energy. And we should prepare dynamic response because people's need would be changed as the time goes on. So we designed graphic analysis model (GAM) for the dynamic analysis of decision on the energy sources. It can support Analytic Hierarchy Process (AHP) analysis based on Graphic User Interface

  1. Investment timing decisions in a stochastic duopoly model

    Energy Technology Data Exchange (ETDEWEB)

    Marseguerra, Giovanni [Istituto di Econometria e CRANEC, Universita Cattolica del Sacro Cuore di Milan (Italy)]. E-mail: giovanni.marseguerra@unicatt.it; Cortelezzi, Flavia [Dipartimento di Diritto ed Economia delle Persone e delle Imprese, Universita dell' Insubria (Italy)]. E-mail: flavia.cortelezzi@uninsubria.it; Dominioni, Armando [CORE-Catholique de Louvain la Neuve (Belgium)]. E-mail: dominioni@core.ucl.ac.be

    2006-08-15

    We investigate the role of strategic considerations on the optimal timing of investment when firms compete for a new market (e.g., the provision of an innovative product) under demand uncertainty. Within a continuous time model of stochastic oligopoly, we show that strategic considerations are likely to be of limited impact when the new product is radically innovative whilst the fear of a rival's entry may deeply affect firms' decisions whenever innovation is to some extent limited. The welfare analysis shows surprisingly that the desirability of the different market structures considered does not depend on the fixed entry cost.

  2. Investment timing decisions in a stochastic duopoly model

    International Nuclear Information System (INIS)

    Marseguerra, Giovanni; Cortelezzi, Flavia; Dominioni, Armando

    2006-01-01

    We investigate the role of strategic considerations on the optimal timing of investment when firms compete for a new market (e.g., the provision of an innovative product) under demand uncertainty. Within a continuous time model of stochastic oligopoly, we show that strategic considerations are likely to be of limited impact when the new product is radically innovative whilst the fear of a rival's entry may deeply affect firms' decisions whenever innovation is to some extent limited. The welfare analysis shows surprisingly that the desirability of the different market structures considered does not depend on the fixed entry cost

  3. Optimal statistical decisions about some alternative financial models

    Czech Academy of Sciences Publication Activity Database

    Vajda, Igor; Stummer, W.

    2007-01-01

    Roč. 137, č. 2 (2007), s. 441-471 ISSN 0304-4076 R&D Projects: GA MŠk(CZ) 1M0572; GA ČR GA201/02/1391; GA AV ČR IAA1075403 Institutional research plan: CEZ:AV0Z10750506 Keywords : Black-Scholes-Merton models * Relative entropies * Power divergences * Hellinger intergrals * Total variation distance * Bayesian decisions * Neyman-Pearson testing Subject RIV: BD - Theory of Information Impact factor: 1.990, year: 2007

  4. Early diagnosis model for meningitis supports public health decision making.

    Science.gov (United States)

    Close, Rebecca M; Ejidokun, Oluwatoyin O; Verlander, Neville Q; Fraser, Graham; Meltzer, Margie; Rehman, Yasmin; Muir, Peter; Ninis, Nelly; Stuart, James M

    2011-07-01

    To develop a predictive model for rapid differential diagnosis of meningitis and meningococcal septicaemia to support public health decisions on chemoprophylaxis for contacts. Prospective study of suspected cases of acute meningitis and meningococcal septicaemia admitted to hospitals in the South West, West Midlands and London Regions of England from July 2008 to June 2009. Epidemiological, clinical and laboratory variables on admission were recorded. Logistic regression was used to derive a predictive model. Of the 719 suspect cases reported, 385 confirmed cases were included in analysis. Peripheral blood polymorphonuclear count of >16 × 10(9)/l, serum C-reactive protein of >100 mg/l and haemorrhagic rash were strongly and independently associated with diagnosis of bacterial meningitis and meningococcal septicaemia. Using a simple scoring system, the presence of any one of these factors gave a probability of >95% in predicting the final diagnosis. We have developed a model using laboratory and clinical factors, but not dependent on availability of CSF, for differentiating acute bacterial from viral meningitis within a few hours of admission to hospital. This scoring system is recommended in public health management of suspected cases of meningitis and meningococcal septicaemia to inform decisions on chemoprophylaxis. Copyright © 2011 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

  5. Integrated models to support multiobjective ecological restoration decisions.

    Science.gov (United States)

    Fraser, Hannah; Rumpff, Libby; Yen, Jian D L; Robinson, Doug; Wintle, Brendan A

    2017-12-01

    Many objectives motivate ecological restoration, including improving vegetation condition, increasing the range and abundance of threatened species, and improving species richness and diversity. Although models have been used to examine the outcomes of ecological restoration, few researchers have attempted to develop models to account for multiple, potentially competing objectives. We developed a combined state-and-transition, species-distribution model to predict the effects of restoration actions on vegetation condition and extent, bird diversity, and the distribution of several bird species in southeastern Australian woodlands. The actions reflected several management objectives. We then validated the models against an independent data set and investigated how the best management decision might change when objectives were valued differently. We also used model results to identify effective restoration options for vegetation and bird species under a constrained budget. In the examples we evaluated, no one action (improving vegetation condition and extent, increasing bird diversity, or increasing the probability of occurrence for threatened species) provided the best outcome across all objectives. In agricultural lands, the optimal management actions for promoting the occurrence of the Brown Treecreeper (Climacteris picumnus), an iconic threatened species, resulted in little improvement in the extent of the vegetation and a high probability of decreased vegetation condition. This result highlights that the best management action in any situation depends on how much the different objectives are valued. In our example scenario, no management or weed control were most likely to be the best management options to satisfy multiple restoration objectives. Our approach to exploring trade-offs in management outcomes through integrated modeling and structured decision-support approaches has wide application for situations in which trade-offs exist between competing

  6. Expanding business-to-business customer relationships : modeling the customer's upgrade decision

    NARCIS (Netherlands)

    Bolton, R.; Lemon, K.N.; Verhoef, P.C.

    This article develops a model of a business customer's decision to upgrade service contracts conditional on the decision to renew the contract. It proposes that the firm's upgrade decision is influenced by (1) decision-maker perceptions of the relationship with the supplier, (2) contract-level

  7. Modeling information flows in clinical decision support: key insights for enhancing system effectiveness

    NARCIS (Netherlands)

    Medlock, Stephanie; Wyatt, Jeremy C.; Patel, Vimla L.; Shortliffe, Edward H.; Abu-Hanna, Ameen

    2016-01-01

    A fundamental challenge in the field of clinical decision support is to determine what characteristics of systems make them effective in supporting particular types of clinical decisions. However, we lack such a theory of decision support itself and a model to describe clinical decisions and the

  8. Modeling violations of the race model inequality in bimodal paradigms: co-activation from decision and non-decision components

    Directory of Open Access Journals (Sweden)

    Michael eZehetleitner

    2015-03-01

    Full Text Available The redundant-signals paradigm (RSP is designed to investigate response behavior in perceptual tasks in which response-relevant targets are defined by either one or two features, or modalities. The common finding is that responses are speeded for redundantly compared to singly defined targets. This redundant-signals effect (RSE can be accounted for by race models if the response times do not violate the race model inequality (RMI. When there are violations of the RMI, race models are effectively excluded as a viable account of the RSE. The common alternative is provided by co-activation accounts, which assume that redundant target signals are integrated at some processing stage. However, ‘co-activation’ has mostly been only indirectly inferred and the accounts have only rarely been explicitly modeled; if they were modeled, the RSE has typically been assumed to have a decisional locus. Yet, there are also indications in the literature that the RSE might originate, at least in part, at a non-decisional or motor stage. In the present study, using a distribution analysis of sequential-sampling models (ex-Wald and Ratcliff Diffusion model, the locus of the RSE was investigated for two bimodal (audio-visual detection tasks that strongly violated the RMI, indicative of substantial co-activation. Three model variants assuming different loci of the RSE were fitted to the quantile reaction time proportions: a decision, a non-decision, and a combined variant both to vincentized group as well as individual data. The results suggest that for the two bimodal detection tasks, co-activation has a shared decisional and non-decisional locus. These findings point to the possibility that the mechanisms underlying the RSE depend on the specifics (task, stimulus, conditions, etc. of the experimental paradigm.

  9. The ASTUTE Health study protocol: deliberative stakeholder engagements to inform implementation approaches to healthcare disinvestment.

    Science.gov (United States)

    Watt, Amber M; Hiller, Janet E; Braunack-Mayer, Annette J; Moss, John R; Buchan, Heather; Wale, Janet; Riitano, Dagmara E; Hodgetts, Katherine; Street, Jackie M; Elshaug, Adam G

    2012-10-22

    Governments and other payers are yet to determine optimal processes by which to review the safety, effectiveness, and cost-effectiveness of technologies and procedures that are in active use within health systems, and rescind funding (partially or fully) from those that display poor profiles against these parameters. To further progress a disinvestment agenda, a model is required to support payers in implementing disinvestment in a transparent manner that may withstand challenge from vested interests and concerned citizens. Combining approaches from health technology assessment and deliberative democratic theory, this project seeks to determine if and how wide stakeholder engagement can contribute to improved decision-making processes, wherein the views of both vested and non-vested stakeholders are seen to contribute to informing policy implementation within a disinvestment context. Systematic reviews pertaining to illustrative case studies were developed and formed the evidence base for discussion. Review findings were presented at a series of deliberative, evidence-informed stakeholder engagements, including partisan (clinicians and consumers) and non-partisan (representative community members) stakeholders. Participants were actively facilitated towards identifying shared and dissenting perspectives regarding public funding policy for each of the case studies and developing their own funding models in response to the evidence presented. Policy advisors will subsequently be invited to evaluate disinvestment options based on the scientific and colloquial evidence presented to them, and to explore the value of this information to their decision-making processes with reference to disinvestment. Analysis of the varied outputs of the deliberative engagements will contribute to the methodological development around how to best integrate scientific and colloquial evidence for consideration by policy advisors. It may contribute to the legitimization of broad and

  10. Multicriteria decision group model for the selection of suppliers

    Directory of Open Access Journals (Sweden)

    Luciana Hazin Alencar

    2008-08-01

    Full Text Available Several authors have been studying group decision making over the years, which indicates how relevant it is. This paper presents a multicriteria group decision model based on ELECTRE IV and VIP Analysis methods, to those cases where there is great divergence among the decision makers. This model includes two stages. In the first, the ELECTRE IV method is applied and a collective criteria ranking is obtained. In the second, using criteria ranking, VIP Analysis is applied and the alternatives are selected. To illustrate the model, a numerical application in the context of the selection of suppliers in project management is used. The suppliers that form part of the project team have a crucial role in project management. They are involved in a network of connected activities that can jeopardize the success of the project, if they are not undertaken in an appropriate way. The question tackled is how to select service suppliers for a project on behalf of an enterprise that assists the multiple objectives of the decision-makers.Vários autores têm estudado decisão em grupo nos últimos anos, o que indica a relevância do assunto. Esse artigo apresenta um modelo multicritério de decisão em grupo baseado nos métodos ELECTRE IV e VIP Analysis, adequado aos casos em que se tem uma grande divergência entre os decisores. Esse modelo é composto por dois estágios. No primeiro, o método ELECTRE IV é aplicado e uma ordenação dos critérios é obtida. No próximo estágio, com a ordenação dos critérios, o método VIP Analysis é aplicado e as alternativas são selecionadas. Para ilustrar o modelo, uma aplicação numérica no contexto da seleção de fornecedores em projetos é realizada. Os fornecedores que fazem parte da equipe do projeto têm um papel fundamental no gerenciamento de projetos. Eles estão envolvidos em uma rede de atividades conectadas que, caso não sejam executadas de forma apropriada, podem colocar em risco o sucesso do

  11. Decision modeling in donation after circulatory death liver transplantation.

    Science.gov (United States)

    McLean, Kenneth A; Camilleri-Brennan, Julian; Knight, Stephen R; Drake, Thomas M; Ots, Riinu; Shaw, Catherine A; Wigmore, Stephen J; Harrison, Ewen M

    2017-05-01

    Donation after circulatory death (DCD) liver allografts are increasingly used for transplantation. However, the posttransplantation clinical and quality of life outcomes of DCD recipients are traditionally considered to be inferior compared with donation after brain death (DBD) allograft recipients. Decision making for such marginal organs can be difficult. This study investigated the optimal decision to accept or decline a DCD liver allograft for a patient based on their current health. A Markov decision process model was constructed to predict the 5-year clinical course of patients on the liver transplant waiting list. Clinical outcomes were determined from the UK transplant registry or appropriate literature. Quality-adjusted life years (QALYs) were determined using the condition-specific short form of liver disease quality of life (SF-LDQoL) questionnaire. There were 293/374 (78.3%) eligible patients who completed the SF-LDQoL questionnaire. A total of 73 respondents (24.9%) were before transplant and 220 were after transplant (DBD recipient, 56.3%; DCD recipient, 8.5%; ischemic cholangiopathy patient, 2.4%; retransplant recipient, 7.9%). Predictive modeling indicated that QALYs gained at 5 years were significantly higher in DCD recipients (3.77; 95% confidence interval [CI], 3.44-4.10) compared with those who remained on the waiting list for a DBD transplant with Model for End-Stage Liver Disease (MELD) scores of 15-20 (3.36; 95% CI, 3.28-3.43), or >20 (3.07; 95% CI, 3.00-3.14). There was no significant advantage for individuals with MELD scores transplant waiting list with MELD scores >15 should receive an offered DCD allograft based on the QALYs gained at 5 years. This analysis only accounts for donor-recipient risk pairings seen in current practice. The optimal decision for patients with MELD scores organ was accepted. Liver Transplantation 23 594-603 2017 AASLD. © 2016 by the American Association for the Study of Liver Diseases.

  12. Decision Models for Determining the Optimal Life Test Sampling Plans

    Science.gov (United States)

    Nechval, Nicholas A.; Nechval, Konstantin N.; Purgailis, Maris; Berzins, Gundars; Strelchonok, Vladimir F.

    2010-11-01

    Life test sampling plan is a technique, which consists of sampling, inspection, and decision making in determining the acceptance or rejection of a batch of products by experiments for examining the continuous usage time of the products. In life testing studies, the lifetime is usually assumed to be distributed as either a one-parameter exponential distribution, or a two-parameter Weibull distribution with the assumption that the shape parameter is known. Such oversimplified assumptions can facilitate the follow-up analyses, but may overlook the fact that the lifetime distribution can significantly affect the estimation of the failure rate of a product. Moreover, sampling costs, inspection costs, warranty costs, and rejection costs are all essential, and ought to be considered in choosing an appropriate sampling plan. The choice of an appropriate life test sampling plan is a crucial decision problem because a good plan not only can help producers save testing time, and reduce testing cost; but it also can positively affect the image of the product, and thus attract more consumers to buy it. This paper develops the frequentist (non-Bayesian) decision models for determining the optimal life test sampling plans with an aim of cost minimization by identifying the appropriate number of product failures in a sample that should be used as a threshold in judging the rejection of a batch. The two-parameter exponential and Weibull distributions with two unknown parameters are assumed to be appropriate for modelling the lifetime of a product. A practical numerical application is employed to demonstrate the proposed approach.

  13. Reducing epistemic errors in water quality modelling through high-frequency data and stakeholder collaboration: the case of an industrial spill

    Science.gov (United States)

    Krueger, Tobias; Inman, Alex; Paling, Nick

    2014-05-01

    Catchment management, as driven by legislation such as the EU WFD or grassroots initiatives, requires the apportionment of in-stream pollution to point and diffuse sources so that mitigation measures can be targeted and costs and benefits shared. Source apportionment is typically done via modelling. Given model imperfections and input data errors, it has become state-of-the-art to employ an uncertainty framework. However, what is not easily incorporated in such a framework, and currently much discussed in hydrology, are epistemic uncertainties, i.e. those uncertainties that relate to lack of knowledge about processes and data. For example, what if an otherwise negligible source suddenly matters because of an accidental pollution incident? In this paper we present such a case of epistemic error, an industrial spill ignored in a water quality model, demonstrate the bias of the resulting model simulations, and show how the error was discovered somewhat incidentally by auxiliary high-frequency data and finally corrected through the collective intelligence of a stakeholder network. We suggest that accidental pollution incidents like this are a wide-spread, though largely ignored, problem. Hence our discussion will reflect on the practice of catchment monitoring, modelling and management in general. The case itself occurred as part of ongoing modelling support in the Tamar catchment, one of the priority catchments of the UK government's new approach to managing water resources more decentralised and collaboratively. An Extended Export Coefficient Model (ECM+) had been developed with stakeholders to simulate transfers of nutrients (N & P), sediment and Faecal Coliforms from land to water and down the river network as a function of sewage treatment options, land use, livestock densities and farm management practices. In the process of updating the model for the hydrological years 2008-2012 an over-prediction of the annual average P concentration by the model was found at

  14. Knowledge Management Portal: A Simplified Model to Help Decision Makers

    International Nuclear Information System (INIS)

    Ogawa, I.; Hernandes Tabares, R.

    2015-01-01

    The aim of this work is to present a simplified model that could help the nuclear industry to keep the expertise of safeguards professionals in touch with the state of the art, and also to have available information in the Portal of Knowledge Management. It can also provide indicators and general data for decision makers. Authors have developed the concept based on their own experience through systems running in hydroelectric and gas fired plants, and one exclusive system that manage all courses in one University. It is under development a Portal of Knowledge Management for NPP dealing with information obtained of Strategic Plans, Budgets and Economics, Operation Performance, Maintenance and Surveillance Plans, Training and Education Programs, QA Programs, Operational Experience, Safety Culture, and Engineering of Human Factors. This model will provide indicators for decision makers. Training and education module is prepared according to profile of each individual and his attributes, tasks and capabilities, and training and education programmes. The system could apply self-assessment questionnaires; immersive learning using media (video) classes, and test applications using questions randomly selected from data bank, as well as could make applications to certificate people. All these data are analyzed and generate indicators about strongest and weakness points. Managers could have indication of individual's deficiency even though in training programmes on a real time basis. Another tool that could be applied to the model is the remote operation of supervision equipment. The model is developed using web-based tools, like ASP.NET encrypted by 128 bits, and web site https. Finally, it is important to stress that the model can be customized according to industry preference. (author)

  15. Advancing theories, models and measurement for an interprofessional approach to shared decision making in primary care: a study protocol

    Directory of Open Access Journals (Sweden)

    Frosch Dominick

    2008-01-01

    Full Text Available Abstract Background Shared decision-making (SDM is defined as a process by which a healthcare choice is made by practitioners together with the patient. Although many diagnostic and therapeutic processes in primary care integrate more than one type of health professional, most SDM conceptual models and theories appear to be limited to the patient-physician dyad. The objectives of this study are to develop a conceptual model and propose a set of measurement tools for enhancing an interprofessional approach to SDM in primary healthcare. Methods/Design An inventory of SDM conceptual models, theories and measurement tools will be created. Models will be critically assessed and compared according to their strengths, limitations, acknowledgement of interprofessional roles in the process of SDM and relevance to primary care. Based on the theory analysis, a conceptual model and a set of measurements tools that could be used to enhance an interprofessional approach to SDM in primary healthcare will be proposed and pilot-tested with key stakeholders and primary healthcare teams. Discussion This study protocol is informative for researchers and clinicians interested in designing and/or conducting future studies and educating health professionals to improve how primary healthcare teams foster active participation of patients in making health decisions using a more coordinated approach.

  16. Distributed Hydrologic Modeling Apps for Decision Support in the Cloud

    Science.gov (United States)

    Swain, N. R.; Latu, K.; Christiensen, S.; Jones, N.; Nelson, J.

    2013-12-01

    Advances in computation resources and greater availability of water resources data represent an untapped resource for addressing hydrologic uncertainties in water resources decision-making. The current practice of water authorities relies on empirical, lumped hydrologic models to estimate watershed response. These models are not capable of taking advantage of many of the spatial datasets that are now available. Physically-based, distributed hydrologic models are capable of using these data resources and providing better predictions through stochastic analysis. However, there exists a digital divide that discourages many science-minded decision makers from using distributed models. This divide can be spanned using a combination of existing web technologies. The purpose of this presentation is to present a cloud-based environment that will offer hydrologic modeling tools or 'apps' for decision support and the web technologies that have been selected to aid in its implementation. Compared to the more commonly used lumped-parameter models, distributed models, while being more intuitive, are still data intensive, computationally expensive, and difficult to modify for scenario exploration. However, web technologies such as web GIS, web services, and cloud computing have made the data more accessible, provided an inexpensive means of high-performance computing, and created an environment for developing user-friendly apps for distributed modeling. Since many water authorities are primarily interested in the scenario exploration exercises with hydrologic models, we are creating a toolkit that facilitates the development of a series of apps for manipulating existing distributed models. There are a number of hurdles that cloud-based hydrologic modeling developers face. One of these is how to work with the geospatial data inherent with this class of models in a web environment. Supporting geospatial data in a website is beyond the capabilities of standard web frameworks and it

  17. ANALISIS IKLAN SIMPATI DENGAN MENGGUNAKAN CONSUMER DECISION MODEL

    Directory of Open Access Journals (Sweden)

    Reni Shinta Dewi

    2016-02-01

    Full Text Available In order that position of a brand always engage in the mind of consumers, the company does not only act positioning strategy, but they have to give the right information about their product, and advertising on the television is one of the most effective promotion media. The main reaction of advertisement is purchase, but it’s happened in the end of the long process before the consumer makes their decision. Usually the effect of advertising communication is to measure the awareness, knowledge, preference and confidence. One of model can be used to measure the advertising effectiveness is Consumer Decision Model (CMD by Howard, Shay and Green. The findings indicated that information, brand recognition, attitude, and confidence are identified as intervening variable which can strongly effect information to customer’s intention. Structural analysis seen that the biggest influence to intention shown by variable of advertisement message through attitude and confidence. The ability of advertisement to create attitude and confidence which supporting a product oftentimes hinging to consumer’s attitude and confidence to advertisement itself. The advertisement which evaluated better can yield positive attitude to product. Even sometimes, that unwelcome advertisement can succeed. This matter happens because the advertisement schema is salience in consumer’s view. The fact said that attitude developed by brand is more difficult than customer’s confidence. To create consumer’s attitude which is direct to consumer’s intention, continuity and intensity of commercials are recommended.

  18. Implementation of Dynamic Smart Decision Model for Vertical Handoff

    Science.gov (United States)

    Sahni, Nidhi

    2010-11-01

    International Mobile Telecommunications-Advanced (IMT Advanced), better known as 4G is the next level of evolution in the field of wireless communications. 4G Wireless networks enable users to access information anywhere, anytime, with a seamless connection to a wide range of information and services, and receiving a large volume of information, data, pictures, video and thus increasing the demand for High Bandwidth and Signal Strength. The mobility among various networks is achieved through Vertical Handoff. Vertical handoffs refer to the automatic failover from one technology to another in order to maintain communication. The heterogeneous co-existence of access technologies with largely different characteristics creates a decision problem of determining the "best" available network at "best" time for handoff. In this paper, we implemented the proposed Dynamic and Smart Decision model to decide the "best" network interface and "best" time moment to handoff. The proposed model implementation not only demonstrates the individual user needs but also improve the whole system performance i.e. Quality of Service by reducing the unnecessary handoffs and maintain mobility.

  19. A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn; Salling, Kim Bang; Leleur, Steen

    2007-01-01

    This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertaintie...

  20. Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree models.

    Science.gov (United States)

    Wang, Jing; Li, Man; Hu, Yun-tao; Zhu, Yu

    2009-09-14

    In recent years, artificial neural network is advocated in modeling complex multivariable relationships due to its ability of fault tolerance; while decision tree of data mining technique was recommended because of its richness of classification arithmetic rules and appeal of visibility. The aim of our research was to compare the performance of ANN and decision tree models in predicting hospital charges on gastric cancer patients. Data about hospital charges on 1008 gastric cancer patients and related demographic information were collected from the First Affiliated Hospital of Anhui Medical University from 2005 to 2007 and preprocessed firstly to select pertinent input variables. Then artificial neural network (ANN) and decision tree models, using same hospital charge output variable and same input variables, were applied to compare the predictive abilities in terms of mean absolute errors and linear correlation coefficients for the training and test datasets. The transfer function in ANN model was sigmoid with 1 hidden layer and three hidden nodes. After preprocess of the data, 12 variables were selected and used as input variables in two types of models. For both the training dataset and the test dataset, mean absolute errors of ANN model were lower than those of decision tree model (1819.197 vs. 2782.423, 1162.279 vs. 3424.608) and linear correlation coefficients of the former model were higher than those of the latter (0.955 vs. 0.866, 0.987 vs. 0.806). The predictive ability and adaptive capacity of ANN model were better than those of decision tree model. ANN model performed better in predicting hospital charges of gastric cancer patients of China than did decision tree model.

  1. Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree models

    Directory of Open Access Journals (Sweden)

    Hu Yun-tao

    2009-09-01

    Full Text Available Abstract Background In recent years, artificial neural network is advocated in modeling complex multivariable relationships due to its ability of fault tolerance; while decision tree of data mining technique was recommended because of its richness of classification arithmetic rules and appeal of visibility. The aim of our research was to compare the performance of ANN and decision tree models in predicting hospital charges on gastric cancer patients. Methods Data about hospital charges on 1008 gastric cancer patients and related demographic information were collected from the First Affiliated Hospital of Anhui Medical University from 2005 to 2007 and preprocessed firstly to select pertinent input variables. Then artificial neural network (ANN and decision tree models, using same hospital charge output variable and same input variables, were applied to compare the predictive abilities in terms of mean absolute errors and linear correlation coefficients for the training and test datasets. The transfer function in ANN model was sigmoid with 1 hidden layer and three hidden nodes. Results After preprocess of the data, 12 variables were selected and used as input variables in two types of models. For both the training dataset and the test dataset, mean absolute errors of ANN model were lower than those of decision tree model (1819.197 vs. 2782.423, 1162.279 vs. 3424.608 and linear correlation coefficients of the former model were higher than those of the latter (0.955 vs. 0.866, 0.987 vs. 0.806. The predictive ability and adaptive capacity of ANN model were better than those of decision tree model. Conclusion ANN model performed better in predicting hospital charges of gastric cancer patients of China than did decision tree model.

  2. A Hybrid Multiple Criteria Decision Making Model for Supplier Selection

    Directory of Open Access Journals (Sweden)

    Chung-Min Wu

    2013-01-01

    Full Text Available The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP is then used to obtain their weights. To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS is used to rank the alternatives. The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.

  3. Using Collaborative Modeling to Inform Policy Decisions in the Bow River Basin

    Science.gov (United States)

    Sheer, A. S.; Sheer, D. P.; Hill, D.

    2011-12-01

    The Bow River in Alberta, Canada serves a wide range of municipal, agricultural, recreational, and industrial purposes in the province. In 2006, the basin was deemed over-allocation and closed to new licenses. The Calgary region, however, continues to expand. In the next 60 to 70 years, population levels are expected to reach 2.8 million (more than double the current 1.2 million) with 800,000 new jobs. This increasing pressure led several stakeholders to work together in the development of a new management model to improve the management of the system as an integrated watershed. The major previous model of the system allowed only limited flexibility in management, focusing instead on strict license based operations. Over a 6 month period, with numerous multi-party meetings, the group developed the Bow River Operations Model (BROM). Based in OASIS software, this model integrated input from the major water users in the region to emulate the real-life decisions that are actually made on a daily bases, even when technically in violation of the strict license agreements (e.x. junior licensees receiving water despite senior priority due to exceedingly low volume requirements). Using historical records as forecasts, and performance measures developed with the best available science through expert opinion, participants jointly developed a new reservoir operation strategy. Even with such a short timeframe, the BROM exercise showed that there was substantial room for improvement. Utilizing a "Water Bank" of purchased storage, downstream flows could be significantly improved without affecting quality. Additional benefits included fishery improvement, new recreation opportunities, dissolved oxygen improvement during critical periods, and the ability to accommodate long-term demand forecasts for surrounding municipalities. This strategy has been presented to, and favorably received by, the Alberta Minister of Environment for guidance during negotiations with the local

  4. STakeholder-Objective Risk Model (STORM): Determiningthe aggregated risk of multiple contaminant hazards in groundwater well catchments

    DEFF Research Database (Denmark)

    Enzenhoefer, R.; Binning, Philip John; Nowak, W.

    2015-01-01

    point in time, which then affects the pumped quality upon transport through the aquifer. In such situations, estimating the overall risk is not trivial, and three key questions emerge: (1) How to aggregate the impacts from different contaminants and spill locations to an overall, cumulative impact......Risk is often defined as the product of probability, vulnerability and value. Drinking water supply from groundwater abstraction is often at risk due to multiple hazardous land use activities in the well catchment. Each hazard might or might not introduce contaminants into the subsurface at any...... by a German drinking water catchment. As one may expect, the results depend strongly on the chosen stakeholder objectives, but they are equally sensitive to different approaches for risk aggregation across different hazards, contaminant types, and over time....

  5. Stakeholder acceptance analysis: Tunable hybrid plasma

    International Nuclear Information System (INIS)

    Peterson, T.

    1995-12-01

    This report resents evaluations, recommendations, and requirements concerning Tunable Hybrid Plasma (THP) derived from a three-year program of stake holder involvement. THP destroys volatile organic compounds by directing a moderate energy electron beam into a flow of air containing organic contaminants. This report is for technology developers and for those responsible for making decisions about the use of technology to remediate contamination by volatile organic compounds. Stakeholders' perspectives help those responsible for technology deployment make good decisions concerning the acceptability and applicability of THP to the remediation problems the face. In addition, this report presents data requirements for the technology's field demonstration defined by stakeholders associated with the Hanford site in Washington State, as well as detailed comments on THP from stakeholders from four other sites throughout the western United States

  6. Encapsulation of a Decision-Making Model to Optimize Supplier Selection via Structural Equation Modeling (SEM)

    Science.gov (United States)

    Sahul Hameed, Ruzanna; Thiruchelvam, Sivadass; Nasharuddin Mustapha, Kamal; Che Muda, Zakaria; Mat Husin, Norhayati; Ezanee Rusli, Mohd; Yong, Lee Choon; Ghazali, Azrul; Itam, Zarina; Hakimie, Hazlinda; Beddu, Salmia; Liyana Mohd Kamal, Nur

    2016-03-01

    This paper proposes a conceptual framework to compare criteria/factor that influence the supplier selection. A mixed methods approach comprising qualitative and quantitative survey will be used. The study intend to identify and define the metrics that key stakeholders at Public Works Department (PWD) believed should be used for supplier. The outcomes would foresee the possible initiatives to bring procurement in PWD to a strategic level. The results will provide a deeper understanding of drivers for supplier’s selection in the construction industry. The obtained output will benefit many parties involved in the supplier selection decision-making. The findings provides useful information and greater understanding of the perceptions that PWD executives hold regarding supplier selection and the extent to which these perceptions are consistent with findings from prior studies. The findings from this paper can be utilized as input for policy makers to outline any changes in the current procurement code of practice in order to enhance the degree of transparency and integrity in decision-making.

  7. Utility Function for modeling Group Multicriteria Decision Making problems as games

    OpenAIRE

    Alexandre Bevilacqua Leoneti

    2016-01-01

    To assist in the decision making process, several multicriteria methods have been proposed. However, the existing methods assume a single decision-maker and do not consider decision under risk, which is better addressed by Game Theory. Hence, the aim of this research is to propose a Utility Function that makes it possible to model Group Multicriteria Decision Making problems as games. The advantage of using Game Theory for solving Group Multicriteria Decision Making problems is to evaluate th...

  8. Stakeholder engagement : Schiphol airport case : managing engagement with stakeholders when the interests are conflicting

    OpenAIRE

    Sokolova, Elizaveta

    2016-01-01

    Stakeholder engagement is the process by which an organization involves people who may be affected by the decisions it makes or can influence the implementation of its decisions. They may support or oppose the decisions, be influential in the organization or within the community in which it operates, hold relevant official positions or be affected in the long-term. Companies are becoming more aware of the environment they operate in, and acknowledge the need to care about susta...

  9. Development of a clinical decision model for thyroid nodules

    Directory of Open Access Journals (Sweden)

    Eberhardt John

    2009-08-01

    Full Text Available Abstract Background Thyroid nodules represent a common problem brought to medical attention. Four to seven percent of the United States adult population (10–18 million people has a palpable thyroid nodule, however the majority (>95% of thyroid nodules are benign. While, fine needle aspiration remains the most cost effective and accurate diagnostic tool for thyroid nodules in current practice, over 20% of patients undergoing FNA of a thyroid nodule have indeterminate cytology (follicular neoplasm with associated malignancy risk prevalence of 20–30%. These patients require thyroid lobectomy/isthmusectomy purely for the purpose of attaining a definitive diagnosis. Given that the majority (70–80% of these patients have benign surgical pathology, thyroidectomy in these patients is conducted principally with diagnostic intent. Clinical models predictive of malignancy risk are needed to support treatment decisions in patients with thyroid nodules in order to reduce morbidity associated with unnecessary diagnostic surgery. Methods Data were analyzed from a completed prospective cohort trial conducted over a 4-year period involving 216 patients with thyroid nodules undergoing ultrasound (US, electrical impedance scanning (EIS and fine needle aspiration cytology (FNA prior to thyroidectomy. A Bayesian model was designed to predict malignancy in thyroid nodules based on multivariate dependence relationships between independent covariates. Ten-fold cross-validation was performed to estimate classifier error wherein the data set was randomized into ten separate and unique train and test sets consisting of a training set (90% of records and a test set (10% of records. A receiver-operating-characteristics (ROC curve of these predictions and area under the curve (AUC were calculated to determine model robustness for predicting malignancy in thyroid nodules. Results Thyroid nodule size, FNA cytology, US and EIS characteristics were highly predictive of

  10. A queueing model of pilot decision making in a multi-task flight management situation

    Science.gov (United States)

    Walden, R. S.; Rouse, W. B.

    1977-01-01

    Allocation of decision making responsibility between pilot and computer is considered and a flight management task, designed for the study of pilot-computer interaction, is discussed. A queueing theory model of pilot decision making in this multi-task, control and monitoring situation is presented. An experimental investigation of pilot decision making and the resulting model parameters are discussed.

  11. Personnel Recovery: Using Game Theory to Model Strategic Decision Making in the Contemporary Operating Environment

    Science.gov (United States)

    2005-06-17

    PERSONNEL RECOVERY: USING GAME THEORY TO MODEL STRATEGIC DECISION MAKING IN THE CONTEMPORARY OPERATING ENVIRONMENT A thesis...Personnel Recovery: Using Game Theory to Model Strategic Decision Making in the Contemporary Operating Environment 5c. PROGRAM ELEMENT NUMBER...As a flexible and adaptive strategic decision-making tool, game theory offers a logical way to graphically represent and compare all strategy

  12. Qualitative modeling of the decision-making process using electrooculography.

    Science.gov (United States)

    Zargari Marandi, Ramtin; Sabzpoushan, S H

    2015-12-01

    A novel method based on electrooculography (EOG) has been introduced in this work to study the decision-making process. An experiment was designed and implemented wherein subjects were asked to choose between two items from the same category that were presented within a limited time. The EOG and voice signals of the subjects were recorded during the experiment. A calibration task was performed to map the EOG signals to their corresponding gaze positions on the screen by using an artificial neural network. To analyze the data, 16 parameters were extracted from the response time and EOG signals of the subjects. Evaluation and comparison of the parameters, together with subjects' choices, revealed functional information. On the basis of this information, subjects switched their eye gazes between items about three times on average. We also found, according to statistical hypothesis testing-that is, a t test, t(10) = 71.62, SE = 1.25, p < .0001-that the correspondence rate of a subjects' gaze at the moment of selection with the selected item was significant. Ultimately, on the basis of these results, we propose a qualitative choice model for the decision-making task.

  13. Stakeholder approach for evaluating organizational change projects.

    Science.gov (United States)

    Peltokorpi, Antti; Alho, Antti; Kujala, Jaakko; Aitamurto, Johanna; Parvinen, Petri

    2008-01-01

    This paper aims to create a model for evaluating organizational change initiatives from a stakeholder resistance viewpoint. The paper presents a model to evaluate change projects and their expected benefits. Factors affecting the challenge to implement change were defined based on stakeholder theory literature. The authors test the model's practical validity for screening change initiatives to improve operating room productivity. Change initiatives can be evaluated using six factors: the effect of the planned intervention on stakeholders' actions and position; stakeholders' capability to influence the project's implementation; motivation to participate; capability to change; change complexity; and management capability. The presented model's generalizability should be explored by filtering presented factors through a larger number of historical cases operating in different healthcare contexts. The link between stakeholders, the change challenge and the outcomes of change projects needs to be empirically tested. The proposed model can be used to prioritize change projects, manage stakeholder resistance and establish a better organizational and professional competence for managing healthcare organization change projects. New insights into existing stakeholder-related understanding of change project successes are provided.

  14. Pharmaceutical expenditure forecast model to support health policy decision making

    Science.gov (United States)

    Rémuzat, Cécile; Urbinati, Duccio; Kornfeld, Åsa; Vataire, Anne-Lise; Cetinsoy, Laurent; Aballéa, Samuel; Mzoughi, Olfa; Toumi, Mondher

    2014-01-01

    Background and objective With constant incentives for healthcare payers to contain their pharmaceutical budgets, modelling policy decision impact became critical. The objective of this project was to test the impact of various policy decisions on pharmaceutical budget (developed for the European Commission for the project ‘European Union (EU) Pharmaceutical expenditure forecast’ – http://ec.europa.eu/health/healthcare/key_documents/index_en.htm). Methods A model was built to assess policy scenarios’ impact on the pharmaceutical budgets of seven member states of the EU, namely France, Germany, Greece, Hungary, Poland, Portugal, and the United Kingdom. The following scenarios were tested: expanding the UK policies to EU, changing time to market access, modifying generic price and penetration, shifting the distribution chain of biosimilars (retail/hospital). Results Applying the UK policy resulted in dramatic savings for Germany (10 times the base case forecast) and substantial additional savings for France and Portugal (2 and 4 times the base case forecast, respectively). Delaying time to market was found be to a very powerful tool to reduce pharmaceutical expenditure. Applying the EU transparency directive (6-month process for pricing and reimbursement) increased pharmaceutical expenditure for all countries (from 1.1 to 4 times the base case forecast), except in Germany (additional savings). Decreasing the price of generics and boosting the penetration rate, as well as shifting distribution of biosimilars through hospital chain were also key methods to reduce pharmaceutical expenditure. Change in the level of reimbursement rate to 100% in all countries led to an important increase in the pharmaceutical budget. Conclusions Forecasting pharmaceutical expenditure is a critical exercise to inform policy decision makers. The most important leverages identified by the model on pharmaceutical budget were driven by generic and biosimilar prices, penetration rate

  15. The Need for Systematic Identification of Stakeholders for Public Engagement with Environmental Research

    Science.gov (United States)

    Despite the increasing promotion of stakeholder engagement in science contributing to environmental decision making, the mechanisms for identifying which stakeholders should be included are rarely strategic or documented. When documented, many of these efforts use ad hoc and/or ...

  16. Stakeholders and Radiation Protection in Today's World

    Energy Technology Data Exchange (ETDEWEB)

    Rick Jones, C. [Retired US DOE (United States); Lochard, J. [Centre d' Etude sur l' Evaluation de la Protection dans le Domaine Nucleaire, 92 - Fontenay aux Roses (France); Lazo, T. [OECD/NEA - Organisation for Economic Co-Operation and Development, Nuclear Energy Agency (OECD/NEA) 75 - Paris (France)

    2006-07-01

    In looking forward the C.R.P.P.H.(Nea 's Committee on radiation protection and public health) identified three influences that will condition the way we address emerging issues, and will alter how we address ongoing issues. These are the involvement of stakeholders in decision making processes, the evolution of radiological protection science and its changing place in risk assessment and management, and the experience gained in implementing the current system of radiological protection. First among there is the growing importance of stakeholder involvement in radiation protection decision making. This has affected the way that the principles of justification, optimization and limitation are viewed, the way the role of the radiation protection professional in risk assessment and management is viewed, and the relative importance of case specific circumstances in relation to harmonized, internationally accepted criteria. In the wake of this change, the international system of radiological protection is being updated by the ICRP, and discussions of the most appropriate direction to take are nearing their end. Second, radiological protection science continues to identify specific aspects that do not fit the conventional linear non threshold model, and which us to consider that, at the very least, the risks from different exposures and exposure situations may not be as simply and universally comparable assumed. This will affect the way that risks are managed, and all relevant stakeholder involvement processes. In addition, decisions relating to public, worker and environmental health and safety are increasingly seen as judgement social choices. Although such choices must be guided by an understanding of state-of-the-art scientific and its uncertainties, the final, choice will generally be made by society, not scientists. Third, since the issuance of ICRP Publication 60 in 1990, and the International Basic Safety Standards in 1996, extensive experience has been

  17. Stakeholder Attitudes EBM

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Fisheries Service (NMFS) conducted a survey of fisheries stakeholders on the Gulf and East Coasts of the United States seeking their views on...

  18. Using interactive 3D visualisation to educate stakeholders in urban sustainability

    Science.gov (United States)

    Falconer, Ruth; Isaacs, John; Blackwood, David

    2010-05-01

    Sustainable decision making in urban design is a complex and non-linear process, which requires the education and interaction of wide variety of stakeholders. A number of sustainable decision support tools have been developed but previous research by the authors has demonstrated that a major barrier to the implementation of tools is the complexity of the environment in which decision are made. In particular, engagement with the general public throughout the decision making process presents challenges in communicating the complex and interdependent facets of sustainability in decisions and also in providing an understanding to stakeholders of the short and long term implications of alternative courses of action. S-City VT, a prototype simulation and visualisation tool, demonstrates the underlying concepts that allow a wider range of stakeholders to understand, interact with and influence decisions regarding sustainability of urban design. Using the Dundee Waterfront Development Project as a case study, S-City VT takes the unique approach of combining computer game technology with computer modelling to present the stakeholder with an interactive virtual development. The virtual development is completely interactive allowing users to change the underlying models as well as the external appearance and location of buildings and other structures within the development. This provides a more interactive experience by allowing the user a one to one relationship with the environment they are interacting with, as opposed to existing off the shelf solutions, such as CAD or BIM, that lack in real time interactivity. S-City VT utilises existing games technology research to allow the rendering of virtual environment on consumer hardware opening up its use to a wider range of participants and venues by not relying on specialist hardware. The visualisation tool employs a number of different methods to display the multivariate sustainability data to the stakeholders. These methods

  19. A decision-making model based on a spiking neural circuit and synaptic plasticity.

    Science.gov (United States)

    Wei, Hui; Bu, Yijie; Dai, Dawei

    2017-10-01

    To adapt to the environment and survive, most animals can control their behaviors by making decisions. The process of decision-making and responding according to cues in the environment is stable, sustainable, and learnable. Understanding how behaviors are regulated by neural circuits and the encoding and decoding mechanisms from stimuli to responses are important goals in neuroscience. From results observed in Drosophila experiments, the underlying decision-making process is discussed, and a neural circuit that implements a two-choice decision-making model is proposed to explain and reproduce the observations. Compared with previous two-choice decision making models, our model uses synaptic plasticity to explain changes in decision output given the same environment. Moreover, biological meanings of parameters of our decision-making model are discussed. In this paper, we explain at the micro-level (i.e., neurons and synapses) how observable decision-making behavior at the macro-level is acquired and achieved.

  20. Developing a Decision Model for Joint Improvised Explosive Device Defeat Organization (JIEDDO) Proposal Selection

    National Research Council Canada - National Science Library

    Dawley, Lyle M; Marentette, Lenore A; Long, A. M

    2008-01-01

    This research uses decision analysis to develop a structured, repeatable and most importantly defensible decision model for the evaluation of proposed IED defeat solutions submitted to the Joint IED Defeat Organization (JIEDDO...

  1. Selection of Representative Models for Decision Analysis Under Uncertainty

    Science.gov (United States)

    Meira, Luis A. A.; Coelho, Guilherme P.; Santos, Antonio Alberto S.; Schiozer, Denis J.

    2016-03-01

    The decision-making process in oil fields includes a step of risk analysis associated with the uncertainties present in the variables of the problem. Such uncertainties lead to hundreds, even thousands, of possible scenarios that are supposed to be analyzed so an effective production strategy can be selected. Given this high number of scenarios, a technique to reduce this set to a smaller, feasible subset of representative scenarios is imperative. The selected scenarios must be representative of the original set and also free of optimistic and pessimistic bias. This paper is devoted to propose an assisted methodology to identify representative models in oil fields. To do so, first a mathematical function was developed to model the representativeness of a subset of models with respect to the full set that characterizes the problem. Then, an optimization tool was implemented to identify the representative models of any problem, considering not only the cross-plots of the main output variables, but also the risk curves and the probability distribution of the attribute-levels of the problem. The proposed technique was applied to two benchmark cases and the results, evaluated by experts in the field, indicate that the obtained solutions are richer than those identified by previously adopted manual approaches. The program bytecode is available under request.

  2. Crisis Decision Making Through a Shared Integrative Negotiation Mental Model

    NARCIS (Netherlands)

    Van Santen, W.; Jonker, C.M.; Wijngaards, N.

    2009-01-01

    Decision making during crises takes place in (multi-agency) teams, in a bureaucratic political context. As a result, the common notion that during crises decision making should be done in line with a Command & Control structure is invalid. This paper shows that the best way for crisis decision

  3. Stakeholders: theory and practice

    National Research Council Canada - National Science Library

    Friedman, Andrew L; Miles, Samantha

    2006-01-01

    ... of the concept on practice and policy. However, as the concept has become more popular, the path has become tangled with the many different ways the concept has been used. For example, different practices have come to be called stakeholder activities, particularly by those seeking to use the label to legitimize their actions. Also, a range of different definitions as to what a stakeholder is has emerged. Concentrating on these issues encourages a view of a second future path of the stake...

  4. Introducing Complex Decision Models to the Decision Maker with Computer Software - The Profile Distance Method (PDM

    Directory of Open Access Journals (Sweden)

    Edward Bernroider

    2010-06-01

    Full Text Available In this paper we demonstrate how the profile distance method was transformed into a software environment enabling the decision maker to utilize a complex decision making tool without any advanced knowledge of the underlying mathematical and technical features. We present theoretical and technical aspects as well as contextual and usage related information from the viewpoint of the decision maker. Preliminary empirical results suggest that the developed software component is effective in terms of platform independence, usability and intuitive interface design. The data showed a good rating for usefulness, which, however, was targeted as the main goal for further development.

  5. Modeling integrated water user decisions in intermittent supply systems

    Science.gov (United States)

    Rosenberg, David E.; Tarawneh, Tarek; Abdel-Khaleq, Rania; Lund, Jay R.

    2007-07-01

    We apply systems analysis to estimate household water use in an intermittent supply system considering numerous interdependent water user behaviors. Some 39 household actions include conservation; improving local storage or water quality; and accessing sources having variable costs, availabilities, reliabilities, and qualities. A stochastic optimization program with recourse decisions identifies the infrastructure investments and short-term coping actions a customer can adopt to cost-effectively respond to a probability distribution of piped water availability. Monte Carlo simulations show effects for a population of customers. Model calibration reproduces the distribution of billed residential water use in Amman, Jordan. Parametric analyses suggest economic and demand responses to increased availability and alternative pricing. It also suggests potential market penetration for conservation actions, associated water savings, and subsidies to entice further adoption. We discuss new insights to size, target, and finance conservation.

  6. Addressing issues raised by stakeholders: experiences of eight organisations

    International Nuclear Information System (INIS)

    Vari, Anna

    2004-01-01

    Demand for stakeholder involvement has become imperative in the field of radioactive waste management. Providing for fair and competent stakeholder involvement, however, raises several questions of practice, for example: How to address issues raised by stakeholders? How to take stakeholders' views into consideration if they are divergent or conflicting? This paper reviews eight case studies prepared for the Topical Session on Addressing Issues Raised by Stakeholders, aimed at analysing the impacts of stakeholder involvement on decisions in RWM organisations. The studies outline the experiences of the following organisations: Canadian Nuclear Safety Commission (CNSC); Canadian Nuclear Waste Management Organization (NWMO); Nuclear Waste Management Organisation of Japan (NUMO); Posiva, Finland; Radioactive Waste Repository Authority, Czech Republic (RAWRA); Swedish Radiation Protection Authority (SSI); United Kingdom Environment Agency; United States Environmental Protection Agency (EPA). Case study reports are included in the Annex of this volume. The paper outlines the main trends and lessons learned from the above case studies. The first section focuses on impacts of stakeholder involvement on specific RWM decisions regarding policy and process. Examples presented in the second section illustrate how stakeholders' concerns may influence general decision-making practices and organisational behaviour. In the third section various approaches to handling divergent stakeholder views are introduced. The paper concludes with recommendations extracted and derived from the eight reports. (author)

  7. The influence of age and educational qualification on stakeholders ...

    African Journals Online (AJOL)

    Policy makers, teachers, students and members of the society are normally referred to as major stakeholders in education. The role of stakeholders in facilitating decisions that affect educational policies cannot be undermined. Although technology is considered a veritable platform for enhancing the teaching-learning ...

  8. An Integrated Decision-Making Model for Categorizing Weather Products and Decision Aids

    Science.gov (United States)

    Elgin, Peter D.; Thomas, Rickey P.

    2004-01-01

    The National Airspace System s capacity will experience considerable growth in the next few decades. Weather adversely affects safe air travel. The FAA and NASA are working to develop new technologies that display weather information to support situation awareness and optimize pilot decision-making in avoiding hazardous weather. Understanding situation awareness and naturalistic decision-making is an important step in achieving this goal. Information representation and situation time stress greatly influence attentional resource allocation and working memory capacity, potentially obstructing accurate situation awareness assessments. Three naturalistic decision-making theories were integrated to provide an understanding of the levels of decision making incorporated in three operational situations and two conditions. The task characteristics associated with each phase of flight govern the level of situation awareness attained and the decision making processes utilized. Weather product s attributes and situation task characteristics combine to classify weather products according to the decision-making processes best supported. In addition, a graphical interface is described that affords intuitive selection of the appropriate weather product relative to the pilot s current flight situation.

  9. An optimal decision making model for supporting week hospital management.

    Science.gov (United States)

    Conforti, Domenico; Guerriero, Francesca; Guido, Rosita; Cerinic, Marco Matucci; Conforti, Maria Letizia

    2011-03-01

    Week Hospital is an innovative inpatient health care organization and management, by which hospital stay services are planned in advance and delivered on week-time basis to elective patients. In this context, a strategic decision is the optimal clinical management of patients, and, in particular, devising efficient and effective admission and scheduling procedures, by tackling different requirements such as beds' availability, diagnostic resources, and treatment capabilities. The main aim is to maximize the patient flow, by ensuring the delivery of all clinical services during the week. In this paper, the optimal management of Week Hospital patients is considered. We have developed and validated an innovative integer programming model, based on clinical resources allocation and beds utilization. In particular, the model aims at scheduling Week Hospital patients' admission/discharge, possibly reducing the length of stay on the basis of an available timetable of clinical services. The performance of the model has been evaluated, in terms of efficiency and robustness, by considering real data coming from a Week Hospital Rheumatology Division. The experimental results have been satisfactory and demonstrate the effectiveness of the proposed approach.

  10. Stakeholder involvement in Swedish nuclear waste management

    Energy Technology Data Exchange (ETDEWEB)

    Elam, Mark; Sundqvist, Goeran [Goeteborg Univ. (Sweden). Section for Science and Technology Studies

    2006-09-15

    This report concerning Swedish nuclear waste management has been produced as part of a cross national research project: CARL - A Social Science Research Project into the Effects of Stakeholder involvement on Decision-Making in Radioactive Waste Management. Besides Sweden, the participating countries are Belgium, Canada, Finland, Slovenia and United Kingdom. A social science research team, working for three years, is in the first phase conducting research in their own countries in order to produce 6 country reports. During the next years the focus will shift to comparisons of stakeholder involvement practices in the participating countries. The report addresses current practices of Swedish nuclear waste management and their historical development. The main focus is on past, current and emerging patterns of stakeholder involvement in the siting of a deep repository for the final disposal of Sweden's spent nuclear fuel. The general questions attended to in the report are: Who are the main stakeholders, and how have they emerged and gained recognition as such? What are the issues currently subject to stakeholder involvement and how have these been decided upon? How is stakeholder involvement organized locally and nationally and how has this changed over time? How has stakeholder involvement gained acceptance as an activity of value in the siting of major waste facilities? The report have attempted to show the development of stakeholder involvement in the siting of a final repository for Sweden's spent nuclear fuel as resembling something other than a straightforward linear process of improvement and refinement. Stakeholder involvement has developed, over the past 15 years or so, into something more like a patchwork of different shapes and forms. Some of the forces that may well contribute to the further elaboration of the patchwork of stakeholder involvement have been pointed out, contingently modifying once more its overall colour and orientation. Questions

  11. Stakeholder involvement in Swedish nuclear waste management

    International Nuclear Information System (INIS)

    Elam, Mark; Sundqvist, Goeran

    2006-09-01

    This report concerning Swedish nuclear waste management has been produced as part of a cross national research project: CARL - A Social Science Research Project into the Effects of Stakeholder involvement on Decision-Making in Radioactive Waste Management. Besides Sweden, the participating countries are Belgium, Canada, Finland, Slovenia and United Kingdom. A social science research team, working for three years, is in the first phase conducting research in their own countries in order to produce 6 country reports. During the next years the focus will shift to comparisons of stakeholder involvement practices in the participating countries. The report addresses current practices of Swedish nuclear waste management and their historical development. The main focus is on past, current and emerging patterns of stakeholder involvement in the siting of a deep repository for the final disposal of Sweden's spent nuclear fuel. The general questions attended to in the report are: Who are the main stakeholders, and how have they emerged and gained recognition as such? What are the issues currently subject to stakeholder involvement and how have these been decided upon? How is stakeholder involvement organized locally and nationally and how has this changed over time? How has stakeholder involvement gained acceptance as an activity of value in the siting of major waste facilities? The report have attempted to show the development of stakeholder involvement in the siting of a final repository for Sweden's spent nuclear fuel as resembling something other than a straightforward linear process of improvement and refinement. Stakeholder involvement has developed, over the past 15 years or so, into something more like a patchwork of different shapes and forms. Some of the forces that may well contribute to the further elaboration of the patchwork of stakeholder involvement have been pointed out, contingently modifying once more its overall colour and orientation. Questions have been

  12. Models and theories of prescribing decisions: A review and suggested a new model.

    Science.gov (United States)

    Murshid, Mohsen Ali; Mohaidin, Zurina

    2017-01-01

    To date, research on the prescribing decisions of physician lacks sound theoretical foundations. In fact, drug prescribing by doctors is a complex phenomenon influenced by various factors. Most of the existing studies in the area of drug prescription explain the process of decision-making by physicians via the exploratory approach rather than theoretical. Therefore, this review is an attempt to suggest a value conceptual model that explains the theoretical linkages existing between marketing efforts, patient and pharmacist and physician decision to prescribe the drugs. The paper follows an inclusive review approach and applies the previous theoretical models of prescribing behaviour to identify the relational factors. More specifically, the report identifies and uses several valuable perspectives such as the 'persuasion theory - elaboration likelihood model', the stimuli-response marketing model', the 'agency theory', the theory of planned behaviour,' and 'social power theory,' in developing an innovative conceptual paradigm. Based on the combination of existing methods and previous models, this paper suggests a new conceptual model of the physician decision-making process. This unique model has the potential for use in further research.

  13. Models for Editorial Decision Making: The Benefits of Semi-Formality

    Science.gov (United States)

    Meyer, Philip

    1978-01-01

    Examines two common informal models for editorial decision making-- the referendum model and the target group model--and suggests a prioritization model that offers greater precision at the price of a modest increase in formality. (GW)