Piet, S. J.; Gibson, P. L.; Joe, J. C.; Kerr, T. A.; Nitschke, R. L.; Dakins, M. E.
Hundreds of contaminated facilities and sites must be cleaned up. ''Cleanup'' includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done--some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period-from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept ''as is'' or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: (1) Knowledge: what is known about the problem and possible solutions? (2) Values: what is important to those affected by the decision? (3) Resources: what is available to implement possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases.
Piet, S. J.; Gibson, P. L.; Joe, J. C.; Kerr, T. A.; Nitschke, R. L.; Dakins, M. E.
Hundreds of contaminated facilities and sites must be cleaned up. ''Cleanup'' includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done--some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period-from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept ''as is'' or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: (1) Knowledge: what is known about the problem and possible solutions? (2) Values: what is important to those affected by the decision? (3) Resources: what is available to implement possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases
Piet, Steven James; Gibson, Patrick Lavern; Joe, Jeffrey Clark; Kerr, Thomas A; Nitschke, Robert Leon; Dakins, Maxine Ellen
Hundreds of contaminated facilities and sites must be cleaned up. “Cleanup” includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done - some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches, including: • New ways (mental model) to analyze and visualize the problem, • Awareness of the option to shift strategy or reframe from a single decision to an adaptable network of decisions, and • Improved tactical processes that account for several challenges. These include the following: • Stakeholder values are a more fundamental basis for decision making and keeping than “meeting regulations.” • Late-entry players and future generations will question decisions. • People may resist making “irreversible” decisions. • People need “compelling reasons” to take action in the face of uncertainties. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period—from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept “as is” or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: • Knowledge: what is known about the problem and possible solutions? • Values: what is important to those affected by the decision? • Resources: what is available to implement
Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to : lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data...
Chaudhry, Muhammad Shirjeel Riaz; Sidek, Mohmad Safhree
Approved for public release; distribution is unlimited This thesis proposes a decision-making model based on PESTEL (Political, Economic, Social, Technological, Environmental, and Legal) analysis, AHP (Analytical Hierarchical Process), and game theory. The case study used to demonstrate the concept is a 2013 Malaysian crisis wherein foreign intruders occupied a village in Sabah state. The Malaysian government, ultimately, launched a military operation to clear the area. The focus of our st...
Austin, L; Brodersen, John; Reventlow, Susanne
Historically, medical decisions have primarily involved diagnosis and treatment of symptomatic patients. Increasingly, medical decisions concern uncertain future health states in asymptomatic people. We construct a taxonomy of five medical decision situations that encompasses these wider...... possibilities. For each, we identify potential sources of uncertainty that should be considered when assessing the degree of belief that a person has, or will have, a condition. Decision trees illustrate the normative structure of each situation. The five decision situations involve: 1) assessing...
Power, Tara E; Swartzman, Leora C; Robinson, John W
Assistance for patients faced with medical decisions has largely focussed on the clarification of information and personal values. Our aim is to draw on the decision research describing the role of emotion in combination with health behaviour models to provide a framework for conceptualizing patient decisions. A review of the psychological and medical decision making literature concerned with the role of emotion/affect in decision making and health behaviours. Emotion plays an influential role in decision making. Both current and anticipated emotions play a motivational role in choice. Amalgamating these findings with that of Leventhal's (1970) SRM provide a framework for thinking about the influence of emotion on a patient medical decision. Our framework suggests that a patient must cope with four sets of elements. The first two relate to the need to manage the cognitive and emotional aspects of the health threat. The second set relate to the management of the cognitive and emotional elements of the decision, itself. The framework provides a way for practitioners and researchers to frame thinking about a patient medical decision in order to assist the patient in clarifying decisional priorities. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
Chinchilla, Nuria; Moragas, Maruja; Kim, Sowon
We introduce motivation theory as a way of understanding the decision-making process in the work and family context. We use core concepts from motivation theory - extrinsic, intrinsic and prosocial motivation - and link them to motivational learning to build our framework. We then propose a framework illustrating motivational factors that influence work-family decision-making and offer propositions focusing on the motivational consequences for individuals which will impact their future decisi...
philosophy so interesting for students ; it was always a pleasure to be in his class. We also owe our gratitude to Dr. William Fox who graciously...basically labourer in the palm oil industry. Among the social fallout of this crisis could be their forced deportation, as many of them are poor and... Inclusion in Bangsamoro Framework Agreement. Sultan was very concerned that the authority over the ancestral kingdom of Sulu and North Borneo was to be
Chaudry, Ajay; Henly, Julia; Meyers, Marcia
This working paper is one in a series of projects initiated by the Administration for Children and Families (ACF) to improve knowledge for child care researchers and policy makers about parental child care decision making. In this paper, the authors identify three distinct conceptual frameworks for understanding child care decisions--a rational…
Kim, B. S.; Kim, I. S.; Seo, M. S.; Sung, G. Y.
The RITS literature survey on regulatory requirements and current TS research status in Korea as well as in foreign countries has been performed. Based on this survey, the RITS decision-making framework for the licensee and regulator point-of-view, respectively, is introduced in this paper. The required documents for the licensee to prepare are suggested in a systematic approach; the decision-making process of regulators for evaluating the documents is recommended
Maes, Marc A.; Faber, Michael H.
A rational decision-making process does not exclude the possibility of decision makers expressing different preferences and disagreeing regarding the effects of consequences and optimal course of actions. This point of view is explored in depth in this paper. A framework is developed that includes several decision makers (instead of just one) and allows for the variability of preferences among these decision makers. The information provided by the varying opinions of decision makers can be used to optimize our own decision-making. To achieve this, likelihood functions are developed for stated preferences among both discrete and continuous alternatives, and stated preference rankings of alternatives. Two applications are pursued: the optimization of the lifecycle utility of a structural system subject to consequences of failure proportional to the intensity of hazards exceeding a variable threshold, and to follow-up consequences. Also, the problem of tight decisions or close calls is investigated in order to explore the efficiency of a Bayesian approach using stated preferences and stated rankings
Nurses' clinical decision-making is a complex process that holds potential to influence the quality of care provided and patient outcomes. The evolution of nurses' decision-making that occurs with experience has been well documented. In addition, literature includes numerous strategies and approaches purported to support development of nurses' clinical decision-making. There has been, however, significantly less attention given to the process of assessing nurses' clinical decision-making and novice clinical educators are often challenged with knowing how to best support nurses and nursing students in developing their clinical decision-making capacity. The Situated Clinical Decision-Making framework is presented for use by clinical educators: it provides a structured approach to analyzing nursing students' and novice nurses' decision-making in clinical nursing practice, assists educators in identifying specific issues within nurses' clinical decision-making, and guides selection of relevant strategies to support development of clinical decision-making. A series of questions is offered as a guide for clinical educators when assessing nurses' clinical decision-making. The discussion presents key considerations related to analysis of various decision-making components, including common sources of challenge and errors that may occur within nurses' clinical decision-making. An exemplar illustrates use of the framework and guiding questions. Implications of this approach for selection of strategies that support development of clinical decision-making are highlighted. Copyright © 2010 Elsevier Ltd. All rights reserved.
Full Text Available Team diversity scholars have called for examining cognitive variables (van Knippenberg & Schippers, 2007, such as cognitive style, in team dissimilarity research. However, due to the dearth of research on cognitive style diversity in teams, heeding these calls requires new theory. Therefore, we extended recent theoretical developments that suggested indirect relationships between diversity and performance by orienting cognitive style within the team diversity literature and by proposing cognitive style diversity’s effects on team processes in decision making teams. We also integrated the moderating role of team member perspective taking into the framework. We presented arguments and propositions for the combined effects of cognitive style diversity and perspective taking on task conflict, affective conflict, and the development of schema congruence. We offer suggestions for testing the proposed relationships in future research regarding variable measurement and multi-level data. Implications for and contributions to practice are also addressed.
Lange, Jane M; Trock, Bruce J; Gulati, Roman; Etzioni, Ruth
Of the 50,000 men in the US who elect for radical prostatectomy for prostate cancer, 24% to 40% will have a prostate-specific antigen (PSA) recurrence (PSA-R) within 10 years. Deciding whether to administer salvage therapy (ST) at PSA-R presents challenges, as treatment reduces the risk of progression to clinical metastasis but incurs unnecessary side effects should the man die before metastasis. We have developed a new harm-benefit framework using a clinical cohort to inform shared decision making between patients and physicians at PSA-R. Records of 1,045 Johns Hopkins University Hospital patients diagnosed between 1984 and 2013 who had PSA-R following radical prostatectomy were analyzed using marginal structural models to estimate the baseline risk of metastasis and the effect of ST (radiation therapy with or without hormone therapy) while accounting for selection into ST on the basis of PSA growth. The estimated model predicts the harm-benefit tradeoffs of ST within patient subgroups. The benefit of ST is the absolute reduction in the risk of metastasis within 10 years; the harm is the frequency of cancers that would not have metastasized in the patient's lifetime in the absence of ST (overtreatment). The adjusted hazard ratio associated with ST was 0.41 (95% CI, 0.31 to 0.55). Providing ST to all men at PSA-R reduced the risk of metastasis from 43% to 23% but led to 31% of men being overtreated (harm/benefit = 31/(43-23) = 1.6). Providing ST to men with Gleason score >7 reduced the risk of metastasis from 67% to 39%, with 13% of men being overtreated (harm/benefit = 13/(67-39) = 0.5). A quantitative framework that evaluates primary harms and benefits of ST after PSA-R will facilitate informed decision making. Immediate ST may be more appropriate in patient subgroups at elevated risk of metastasis.
Hansen, Zaza Nadja Lee; Ahmed-Kristensen, Saeema
of the organisation. The Global Decision-Making (GDM) framework described here is a decision-making framework for engineering offshoring decisions for product development activities. The framework proposes that risks in engineering offshoring can be reduced by connecting engineering operations to strategic management...
Sirvent, N; Bérard, E
One aim of the law promulgated in France on March 4, 2002 concerning patients' rights and the quality of the health care system was to reconsider the bases of the physician-patient relationship. The new legal framework recommends establishment of a true dialogue between the two protagonists, and it assigns decisional priority to the patient rather than to the physician or third parties. In the case of minors, the principle of parental authority requires that the physician consults the holders of this authority before making any medical decision. However, the law of March 4, 2002 also reinforced the participation of minors in medical decisions concerning them. The lawmaker explicitly envisaged the possibility of overruling the principle of parental authority. This new "balance of power" obliges the physician to inform the minor of his or her medical condition in a manner appropriate to the child's degree of maturity. The minor may even put forward the principle of medical secrecy to prevent the sharing of information with his or her parents. This new "autonomy" of minors gives rise to at least two reservations: i) the difficulty involved in assessment of a minor's degree of discernment; ii) the minor's vulnerability with respect to his or her entourage. Copyright (c) 2010 Elsevier Masson SAS. All rights reserved.
Valyrakis, Manousos; Koursari, Eftychia; Solley, Mark
The impacts of catastrophic flooding, have significantly increased over the last few decades. This is due to primarily the increased urbanisation in ever-expanding mega-cities as well as due to the intensification both in magnitude and frequency of extreme hydrologic events. Herein a novel conceptual framework is presented that incorporates the use of real-time information to inform and update low dimensionality hydraulic models, to allow for rapid decision making towards preventing loss of life and safeguarding critical infrastructure. In particular, a case study from the recent UK floods in the area of Whitesands (Dumfries), is presented to demonstrate the utility of this approach. It is demonstrated that effectively combining a wealth of readily available qualitative information (such as crowdsourced visual documentation or using live data from sensing techniques), with existing quantitative data, can help appropriately update hydraulic models and reduce modelling uncertainties in future flood risk assessments. This approach is even more useful in cases where hydraulic models are limited, do not exist or were not needed before unpredicted dynamic modifications to the river system took place (for example in the case of reduced or eliminated hydraulic capacity due to blockages). The low computational cost and rapid assessment this framework offers, render it promising for innovating in flood management.
The purpose of this document is to describe a Framework for conducting human health risk assessments that are responsive to the needs of decision‐making processes in the U.S. Environmental Protection Agency (EPA).
Full Text Available Abstract Background Scientists striving to unlock mysteries within complex biological systems face myriad barriers in effectively integrating available information to enhance their understanding. While experimental techniques and available data sources are rapidly evolving, useful information is dispersed across a variety of sources, and sources of the same information often do not use the same format or nomenclature. To harness these expanding resources, scientists need tools that bridge nomenclature differences and allow them to integrate, organize, and evaluate the quality of information without extensive computation. Results Sidekick, a genomic data driven analysis and decision making framework, is a web-based tool that provides a user-friendly intuitive solution to the problem of information inaccessibility. Sidekick enables scientists without training in computation and data management to pursue answers to research questions like "What are the mechanisms for disease X" or "Does the set of genes associated with disease X also influence other diseases." Sidekick enables the process of combining heterogeneous data, finding and maintaining the most up-to-date data, evaluating data sources, quantifying confidence in results based on evidence, and managing the multi-step research tasks needed to answer these questions. We demonstrate Sidekick's effectiveness by showing how to accomplish a complex published analysis in a fraction of the original time with no computational effort using Sidekick. Conclusions Sidekick is an easy-to-use web-based tool that organizes and facilitates complex genomic research, allowing scientists to explore genomic relationships and formulate hypotheses without computational effort. Possible analysis steps include gene list discovery, gene-pair list discovery, various enrichments for both types of lists, and convenient list manipulation. Further, Sidekick's ability to characterize pairs of genes offers new ways to
A structured framework and tool that can reflect local requirements, : practices, and operational conditions would greatly assist local : agencies in making consistent and defensible pavement treatment : selection decisions.
Wilczenski, Felicia L.; Cook, Amy L.
Virtue ethics focus on the motives that guide ethical decision making and action, and as such, are critical to the competent application of the counseling profession's ethical codes. Knowledge of virtue ethics deepens understanding of moral responsibilities and ethical reasoning in professional practice. This paper is an overview of virtue ethics…
The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...... improvement by statistical learning and information fusion; 5) the advantage of using combined methods....
The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...
Witt, J.; Elwyn, G.; Wood, F.; Brain, K.
OBJECTIVE: To develop a framework of decision making and coping in healthcare that describes the twin processes of appraisal and coping faced by patients making preference-sensitive healthcare decisions. METHODS: We briefly review the literature for decision making theories and coping theories
Wright, Stuart Anthony Lewis
draws attention to a potential development path, which the DCA process could take, based on an important guidance document on economics in the WFD (WATECO) and the AquaMoney project, a large neoclassical project established to produce guidelines for member states as to how to conduct DCA, essentially...... based on economic valuation methodologies, specifically contingent valuation and benefit transfer. The paper is critical of this potential approach based on a theoretical discussion, which concludes that deliberative approaches to decision-making appear to be more appropriate as they better fit...... the nature of environmental problems. The second part of the paper is an analysis of the decision-making process in the WFD. The WFD both introduces economic methodologies and public participation for river basin management. The paper concludes that the use of neoclassical methods, such as contingent...
Lynn, Spencer K.; Wormwood, Jolie B.; Barrett, Lisa F.; Quigley, Karen S.
Behavior is comprised of decisions made from moment to moment (i.e., to respond one way or another). Often, the decision maker cannot be certain of the value to be accrued from the decision (i.e., the outcome value). Decisions made under outcome value uncertainty form the basis of the economic framework of decision making. Behavior is also based on perception—perception of the external physical world and of the internal bodily milieu, which both provide cues that guide decision making. These perceptual signals are also often uncertain: another person's scowling facial expression may indicate threat or intense concentration, alternatives that require different responses from the perceiver. Decisions made under perceptual uncertainty form the basis of the signals framework of decision making. Traditional behavioral economic approaches to decision making focus on the uncertainty that comes from variability in possible outcome values, and typically ignore the influence of perceptual uncertainty. Conversely, traditional signal detection approaches to decision making focus on the uncertainty that arises from variability in perceptual signals and typically ignore the influence of outcome value uncertainty. Here, we compare and contrast the economic and signals frameworks that guide research in decision making, with the aim of promoting their integration. We show that an integrated framework can expand our ability to understand a wider variety of decision-making behaviors, in particular the complexly determined real-world decisions we all make every day. PMID:26217275
Depenbrock, Brett T.; Balint, Tibor S.; Sheehy, Jeffrey A.
Research and development organizations that push the innovation edge of technology frequently encounter challenges when attempting to identify an investment strategy and to accurately forecast the cost and schedule performance of selected projects. Fast moving and complex environments require managers to quickly analyze and diagnose the value of returns on investment versus allocated resources. Our Project Assessment Framework through Design (PAFTD) tool facilitates decision making for NASA senior leadership to enable more strategic and consistent technology development investment analysis, beginning at implementation and continuing through the project life cycle. The framework takes an integrated approach by leveraging design principles of useability, feasibility, and viability and aligns them with methods employed by NASA's Independent Program Assessment Office for project performance assessment. The need exists to periodically revisit the justification and prioritization of technology development investments as changes occur over project life cycles. The framework informs management rapidly and comprehensively about diagnosed internal and external root causes of project performance.
Khan, Mohammad Jamal; Chelliah, Shankar; Haron, Mahmod Sabri
Role of information source, perceived benefits and risks, and destination image has significantly been examined in travel and tourism literature; however, in medical tourism it is yet to be examined thoroughly. The concept discussed in this article is drawn form well established models in tourism literature. The purpose of this research was to identify the source of information, travel benefits and perceived risks related to movement of international patients and develop a conceptual model based on well-established theory. Thorough database search (Science Direct, utmj.org, nih.gov, nchu.edu.tw, palgrave-journals, medretreat, Biomedcentral) was performed to fulfill the objectives of the study. International patients always concern about benefits and risks related to travel. These benefits and risks form images of destination in the minds of international patients. Different sources of information make international patients acquaint about the associated benefits and risks, which later leads to development of intention to visit. This conceptual paper helps in establishing model for decision-making process of international patients in developing visit intention. Ample amount of literature is available detailing different factors involved in travel decision making of international patients; however literature explaining relationship between these factors is scarce.
KHAN, Mohammad Jamal; CHELLIAH, Shankar; HARON, Mahmod Sabri
Background: Role of information source, perceived benefits and risks, and destination image has significantly been examined in travel and tourism literature; however, in medical tourism it is yet to be examined thoroughly. The concept discussed in this article is drawn form well established models in tourism literature. Methods: The purpose of this research was to identify the source of information, travel benefits and perceived risks related to movement of international patients and develop a conceptual model based on well-established theory. Thorough database search (Science Direct, utmj.org, nih.gov, nchu.edu.tw, palgrave-journals, medretreat, Biomedcentral) was performed to fulfill the objectives of the study. Results: International patients always concern about benefits and risks related to travel. These benefits and risks form images of destination in the minds of international patients. Different sources of information make international patients acquaint about the associated benefits and risks, which later leads to development of intention to visit. This conceptual paper helps in establishing model for decision-making process of international patients in developing visit intention. Conclusion: Ample amount of literature is available detailing different factors involved in travel decision making of international patients; however literature explaining relationship between these factors is scarce. PMID:27114978
Li Yupeng; Lian Xiaozhen; Lu Cheng; Wang Zhaotong
Large group decision making considering multiple attributes is imperative in many decision areas. The weights of the decision makers (DMs) is difficult to obtain for the large number of DMs. To cope with this issue, an integrated multiple-attributes large group decision making framework is proposed in this article. The fuzziness and hesitation of the linguistic decision variables are described by interval-valued intuitionistic fuzzy sets. The weights of the DMs are optimized by constructing a...
Hogan, Dianna; Arthaud, Greg; Brookshire, David; Gunther, Tom; Pincetl, Stephanie; Shapiro, Carl; Van Horne, Bea
The routine and effective incorporation of ecosystem services information into resource management decisions requires a careful consideration of the value of goods and services provided by natural systems. A multidisciplinary workshop was held in October 2008 on "Developing an Institutional Framework to Incorporate Ecosystem Services into Decision Making." This report summarizes that workshop, which focused on examining the relationship between an institutional framework and consideration of ecosystem services in resource management decision making.
Ramoa, Augusto; Maia, Salomé; Lourenço, Anália
SAD_BaSe is a blood bank data analysis software, created to assist in the management of blood donations and the blood production chain in blood establishments. In particular, the system keeps track of several collection and production indicators, enables the definition of collection and production strategies, and the measurement of quality indicators required by the Quality Management System regulating the general operation of blood establishments. This paper describes the general scenario of blood establishments and its main requirements in terms of data management and analysis. It presents the architecture of SAD_BaSe and identifies its main contributions. Specifically, it brings forward the generation of customized reports driven by decision making needs and the use of data mining techniques in the analysis of donor suspensions and donation discards.
Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik
Fuzzy multi-criteria group decision making (FMCGDM) process is usually used when a group of decision-makers faces imprecise data or linguistic variables to solve the problems. However, this process contains many methods that require many time-consuming calculations depending on the number of criteria, alternatives and decision-makers in order to reach the optimal solution. In this study, a web-based FMCGDM framework that offers decision-makers a fast and reliable response service is proposed. The proposed framework includes commonly used tools for multi-criteria decision-making problems such as fuzzy Delphi, fuzzy AHP and fuzzy TOPSIS methods. The integration of these methods enables taking advantages of the strengths and complements each method's weakness. Finally, a case study of location selection for landfill waste in Morocco is performed to demonstrate how this framework can facilitate decision-making process. The results demonstrate that the proposed framework can successfully accomplish the goal of this study.
Pinchevsky, Gillian M
This study fills a gap in the literature by exploring the utility of contemporary courtroom theoretical frameworks-uncertainty avoidance, causal attribution, and focal concerns-for explaining decision-making in specialized domestic violence courts. Using data from two specialized domestic violence courts, this study explores the predictors of prosecutorial and judicial decision-making and the extent to which these factors are congruent with theoretical frameworks often used in studies of court processing. Findings suggest that these theoretical frameworks only partially help explain decision-making in the courts under study. A discussion of the findings and implications for future research is provided. © The Author(s) 2016.
In support of the Environmentally Preferable Purchasing Program of the US EPA, the Systems Analysis Branch has developed a decision-making tool based on life cycle assessment. This tool, the Framework for Responsible Environmental Decision-making or FRED streamlines LCA by choosi...
Pier Luigi Baldi
Full Text Available This article points out some conditions which significantly exert an influence upon decision and compares decision making and problem solving as interconnected processes. Some strategies of decision making are also examined.
Hogan, Dianna; Arthaud, Greg; Pattison, Malka; Sayre, Roger G.; Shapiro, Carl
The analytical framework for understanding ecosystem services in conservation, resource management, and development decisions is multidisciplinary, encompassing a combination of the natural and social sciences. This report summarizes a workshop on 'Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making,' which focused on the analytical process and on identifying research priorities for assessing ecosystem services, their production and use, their spatial and temporal characteristics, their relationship with natural systems, and their interdependencies. Attendees discussed research directions and solutions to key challenges in developing the analytical framework. The discussion was divided into two sessions: (1) the measurement framework: quantities and values, and (2) the spatial framework: mapping and spatial relationships. This workshop was the second of three preconference workshops associated with ACES 2008 (A Conference on Ecosystem Services): Using Science for Decision Making in Dynamic Systems. These three workshops were designed to explore the ACES 2008 theme on decision making and how the concept of ecosystem services can be more effectively incorporated into conservation, restoration, resource management, and development decisions. Preconference workshop 1, 'Developing a Vision: Incorporating Ecosystem Services into Decision Making,' was held on April 15, 2008, in Cambridge, MA. In preconference workshop 1, participants addressed what would have to happen to make ecosystem services be used more routinely and effectively in conservation, restoration, resource management, and development decisions, and they identified some key challenges in developing the analytical framework. Preconference workshop 3, 'Developing an Institutional Framework: Incorporating Ecosystem Services into Decision Making,' was held on October 30, 2008, in Albuquerque, NM; participants examined the relationship between the institutional framework and
Witt, Jana; Elwyn, Glyn; Wood, Fiona; Brain, Kate
To develop a framework of decision making and coping in healthcare that describes the twin processes of appraisal and coping faced by patients making preference-sensitive healthcare decisions. We briefly review the literature for decision making theories and coping theories applicable to preference-sensitive decisions in healthcare settings. We describe first decision making, then coping and finally attempt to integrate these processes by building on current theory. Deliberation in healthcare may be described as a six step process, comprised of the presentation of a health threat, choice, options, preference construction, the decision itself and consolidation post-decision. Coping can be depicted in three stages, beginning with a threat, followed by primary and secondary appraisal and ultimately resulting in a coping effort. Drawing together concepts from prominent decision making theories and coping theories, we propose a multidimensional, interactive framework which integrates both processes and describes coping in deliberation. The proposed framework offers an insight into the complexity of decision making in preference-sensitive healthcare contexts from a patient perspective and may act as theoretical basis for decision support. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Tiffen, Jennifer; Corbridge, Susan J; Slimmer, Lynda
Clinical decision making is a term frequently used to describe the fundamental role of the nurse practitioner; however, other terms have been used interchangeably. The purpose of this article is to begin the process of developing a definition and framework of clinical decision making. The developed definition was "Clinical decision making is a contextual, continuous, and evolving process, where data are gathered, interpreted, and evaluated in order to select an evidence-based choice of action." A contiguous framework for clinical decision making specific for nurse practitioners is also proposed. Having a clear and unique understanding of clinical decision making will allow for consistent use of the term, which is relevant given the changing educational requirements for nurse practitioners and broadening scope of practice. Copyright © 2014 Elsevier Inc. All rights reserved.
A ‘multiple perspective’ framework for the grouping of nanomaterials Robert Landsiedel presenting the results of the ECETOC Nano Task Force (Josje H.E. Arts a, Mackenzie Hadi b, Athena M. Keene c, Reinhard Kreiling d, Delina Lyon e, Monika Maier f, Karin Michel g, Thomas Petry h, Ursula G. Sauer i, David Warheit j, Karin Wiench k, Robert Landsiedel k) a AkzoNobel, Technology and Engineering, Arnhem, Netherlands b Shell Health, Shell International B.V., The Hague, Netherlands...
that are supported by a methodology of both a systemic and a systematic type. Specific use is made of operational research methods such as critical systems heuristics, scenario technique, stakeholder analysis and multi‐attribute decision making (MADM). To deal with issues of complexity and ambiguity, planning......This article presents an integrated framework for multi‐attribute decision making named SCOPE (System for Combined Planning and Evaluation) that was developed to assess infrastructure policy initiatives—in complex decision environments. The framework comprises scanning as well as assessment issues...
Hargrave, C; Deegan, T; Gibbs, A; Poulsen, M; Moores, M; Harden, F; Mengersen, K
A decision-making framework for image-guided radiotherapy (IGRT) is being developed using a Bayesian Network (BN) to graphically describe, and probabilistically quantify, the many interacting factors that are involved in this complex clinical process. Outputs of the BN will provide decision-support for radiation therapists to assist them to make correct inferences relating to the likelihood of treatment delivery accuracy for a given image-guided set-up correction. The framework is being developed as a dynamic object-oriented BN, allowing for complex modelling with specific subregions, as well as representation of the sequential decision-making and belief updating associated with IGRT. A prototype graphic structure for the BN was developed by analysing IGRT practices at a local radiotherapy department and incorporating results obtained from a literature review. Clinical stakeholders reviewed the BN to validate its structure. The BN consists of a sub-network for evaluating the accuracy of IGRT practices and technology. The directed acyclic graph (DAG) contains nodes and directional arcs representing the causal relationship between the many interacting factors such as tumour site and its associated critical organs, technology and technique, and inter-user variability. The BN was extended to support on-line and off-line decision-making with respect to treatment plan compliance. Following conceptualisation of the framework, the BN will be quantified. It is anticipated that the finalised decision-making framework will provide a foundation to develop better decision-support strategies and automated correction algorithms for IGRT.
Hargrave, C.; Moores, M.; Deegan, T.; Gibbs, A.; Poulsen, M.; Harden, F.; Mengersen, K.
A decision-making framework for image-guided radiotherapy (IGRT) is being developed using a Bayesian Network (BN) to graphically describe, and probabilistically quantify, the many interacting factors that are involved in this complex clinical process. Outputs of the BN will provide decision-support for radiation therapists to assist them to make correct inferences relating to the likelihood of treatment delivery accuracy for a given image-guided set-up correction. The framework is being developed as a dynamic object-oriented BN, allowing for complex modelling with specific subregions, as well as representation of the sequential decision-making and belief updating associated with IGRT. A prototype graphic structure for the BN was developed by analysing IGRT practices at a local radiotherapy department and incorporating results obtained from a literature review. Clinical stakeholders reviewed the BN to validate its structure. The BN consists of a sub-network for evaluating the accuracy of IGRT practices and technology. The directed acyclic graph (DAG) contains nodes and directional arcs representing the causal relationship between the many interacting factors such as tumour site and its associated critical organs, technology and technique, and inter-user variability. The BN was extended to support on-line and off-line decision-making with respect to treatment plan compliance. Following conceptualisation of the framework, the BN will be quantified. It is anticipated that the finalised decision-making framework will provide a foundation to develop better decision-support strategies and automated correction algorithms for IGRT.
Kotalik, Jaro; Covino, Cathy; Doucette, Nadine; Henderson, Steve; Langlois, Michelle; McDaid, Karen; Pedri, Louisa M
The authors led the development of a framework for ethical decision-making for an Academic Health Sciences Centre. They understood the existing mission, vision, and values statement (MVVs) of the centre as a foundational assertion that embodies an ethical commitment of the institution. Reflecting the Patient and Family Centred Model of Care the institution is living, the MVVs is a suitable base on which to construct an ethics framework. The resultant framework consists of a set of questions for each of the MVVs. Users of the framework are expected to identify two or more possible decisions to address the issue at hand and then, by applying the provided sequence of questions to each, examine these options and determine the overall ethically preferable decision. The construction of such a framework requires the creative involvement of the institution's staff. Thus the development of the framework can represent a training process in ethical decision-making as well as advance the ethical atmosphere of the institution. This novel approach has the advantage of placing the MVVs on active duty, at the centre of ethical decision-making, and lifts it from its otherwise relative obscurity in most institutions.
Chambers, David W
A decision is a commitment of resources under conditions of risk in expectation of the best future outcome. The smart decision is always the strategy with the best overall expected value-the best combination of facts and values. Some of the special circumstances involved in decision making are discussed, including decisions where there are multiple goals, those where more than one person is involved in making the decision, using trigger points, framing decisions correctly, commitments to lost causes, and expert decision makers. A complex example of deciding about removal of asymptomatic third molars, with and without an EBD search, is discussed.
Kim, Beom Seock
The utility and the nuclear research institutes in Korea have conduct research for improving inefficient requirements in technical specifications using the results of probability risk assessments and information associated with risk. However, the guidance for reviewing the improved technical specifications has not been developed. Thus, the objective of this study is to develop a decision-making framework for investigating and reviewing the documents associated with the changes of technical specifications. This work has been done for helping the regulation agency to review the improved technical specifications as well as to make decisions whether the remedy is accepted or not. The contents of this study include: 1. Surveys on Technical Specification regulations in foreign countries as well as those in Korea 2. Surveys on the state- of- the- art methodology for Risk Informed Technical Specifications and their uses in Korea 3. Development of a decision-making framework in both the licensee and the regulation agency position 4. Development and applications of a decision-making framework using Influence Diagrams. The decision-making framework for RITS using Influence Diagrams are developed and applied to an example problem in this study. This work might contribute to developing the risk informed regulation guidance for improving the quality of the current technical specifications
Gibson Jennifer L
Full Text Available Abstract Background Planning for the next pandemic influenza outbreak is underway in hospitals across the world. The global SARS experience has taught us that ethical frameworks to guide decision-making may help to reduce collateral damage and increase trust and solidarity within and between health care organisations. Good pandemic planning requires reflection on values because science alone cannot tell us how to prepare for a public health crisis. Discussion In this paper, we present an ethical framework for pandemic influenza planning. The ethical framework was developed with expertise from clinical, organisational and public health ethics and validated through a stakeholder engagement process. The ethical framework includes both substantive and procedural elements for ethical pandemic influenza planning. The incorporation of ethics into pandemic planning can be helped by senior hospital administrators sponsoring its use, by having stakeholders vet the framework, and by designing or identifying decision review processes. We discuss the merits and limits of an applied ethical framework for hospital decision-making, as well as the robustness of the framework. Summary The need for reflection on the ethical issues raised by the spectre of a pandemic influenza outbreak is great. Our efforts to address the normative aspects of pandemic planning in hospitals have generated interest from other hospitals and from the governmental sector. The framework will require re-evaluation and refinement and we hope that this paper will generate feedback on how to make it even more robust.
Haralambopoulos, D.A.; Polatiidis, H. [UnIversity of the Aegean, Mytilene (Greece). Dept. of Environmental Studies
This paper describes an applicable group decision-making framework for assisting with multi-criteria analysis in renewable energy projects, utilizing the PROMETHEE II outranking method. The proposed framework is tested in a case study concerning the exploitation of a geothermal resource, located in the island of Chios, Greece. The presented structure provides a serial, decomposed agenda and enhances overall process transparency. Additional, innovatory elements are the incorporation of differing levels of resource exploitation within the decision framework and the direct determination of the PROMETHEE preference thresholds. The developed methodology provides a user-friendly approach, promotes the synergy between different actors, and could pave a way towards consensus. (Author)
Coteur, Ine, E-mail: firstname.lastname@example.org [Institute for Agricultural and Fisheries Research (ILVO)-Social sciences Unit, Burg. Van Gansberghelaan 115, box 2, 9820 Merelbeke (Belgium); Marchand, Fleur [Institute for Agricultural and Fisheries Research (ILVO)-Social sciences Unit, Burg. Van Gansberghelaan 115, box 2, 9820 Merelbeke (Belgium); University of Antwerp, Ecosystem Management Research Group and IMDO, Universiteitsplein 1, 2610 Wilrijk (Belgium); Debruyne, Lies; Dalemans, Floris [Institute for Agricultural and Fisheries Research (ILVO)-Social sciences Unit, Burg. Van Gansberghelaan 115, box 2, 9820 Merelbeke (Belgium); Lauwers, Ludwig [Institute for Agricultural and Fisheries Research (ILVO)-Social sciences Unit, Burg. Van Gansberghelaan 115, box 2, 9820 Merelbeke (Belgium); University of Ghent, Department of Agricultural Economics, Coupure Links 53, 9000 Ghent (Belgium)
Responding to future challenges and societal needs, various actions are taken in agriculture to evolve towards more sustainable farming practices. These actions imply strategic choices and suppose adequate sustainability assessments to identify, measure, evaluate and communicate sustainable development. However, literature is scarce on the link between strategic decision making and sustainability assessment. As questions emerge on how, what and when to measure, the objective of this paper is to construct a framework for guiding sustainability assessment and on-farm strategic decision making. Qualitative research on own experiences from the past and a recent project revealed four categories of actual needs farmers, advisors and experts have regarding sustainability assessment: context, flexibility, focus on farm and farmer and communication. These stakeholders' needs are then incorporated into a two-dimensional framework that marries the intrinsic complexity of sustainability assessment tools and the time frame of strategic decision making. The framework allows a farm-specific and flexible approach leading to harmonized actions towards sustainable farming. As this framework is mainly a procedural instrument to guide the use of sustainability assessment tools within strategic decision making, it fits to incorporate, even guide, future research on sustainability assessment tools themselves and on their adoption on farms. - Highlights: • How to link sustainability assessment and on-farm strategic decision making is unclear. • Two-dimensional framework incorporating stakeholders' needs regarding sustainability assessment • Linking complexity of sustainability assessment tools and the time frame of strategic decision making • Farm-specific and flexible approach to harmonize action towards sustainable farming.
Coteur, Ine; Marchand, Fleur; Debruyne, Lies; Dalemans, Floris; Lauwers, Ludwig
Responding to future challenges and societal needs, various actions are taken in agriculture to evolve towards more sustainable farming practices. These actions imply strategic choices and suppose adequate sustainability assessments to identify, measure, evaluate and communicate sustainable development. However, literature is scarce on the link between strategic decision making and sustainability assessment. As questions emerge on how, what and when to measure, the objective of this paper is to construct a framework for guiding sustainability assessment and on-farm strategic decision making. Qualitative research on own experiences from the past and a recent project revealed four categories of actual needs farmers, advisors and experts have regarding sustainability assessment: context, flexibility, focus on farm and farmer and communication. These stakeholders' needs are then incorporated into a two-dimensional framework that marries the intrinsic complexity of sustainability assessment tools and the time frame of strategic decision making. The framework allows a farm-specific and flexible approach leading to harmonized actions towards sustainable farming. As this framework is mainly a procedural instrument to guide the use of sustainability assessment tools within strategic decision making, it fits to incorporate, even guide, future research on sustainability assessment tools themselves and on their adoption on farms. - Highlights: • How to link sustainability assessment and on-farm strategic decision making is unclear. • Two-dimensional framework incorporating stakeholders' needs regarding sustainability assessment • Linking complexity of sustainability assessment tools and the time frame of strategic decision making • Farm-specific and flexible approach to harmonize action towards sustainable farming
Bennett, Casey C.; Hauser, Kris
In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to address these challenges. This serves two potential functions: 1) a simulation environment for expl...
Dorazio, R.M.; Johnson, F.A.
Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions. We illustrate these features using an example based on management of waterfowl habitat.
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...
This contribution describes the implementation of the conditional-value-at-risk (CVaR) metric to create a general multi-stakeholder decision-making framework. It is observed that stakeholder dissatisfactions (distance to their individual ideal solutions) can be interpreted as ran...
Hsiao, L.; Vorst, van der J.G.A.J.; Kemp, R.G.M.; Omta, S.W.F.
Purpose – The purpose of this paper is to present a decision-making framework for outsourcing levels of logistics activities. These are: execution level of basic activities (such as transportation, warehousing); value-added activities; planning and control level of activities (such as transportation
Liefbroer, A.C.; Klobas, J.E.; Philipov, D.; Azjen, I.; Philipov, D.; Liefbroer, A.C.; Klobas, J.E.
This chapter lays the theoretical and methodological foundation for the book, Reproductive decision-making in a macro-micro perspective. It introduces the issues addressed in the book and the European Commission Seventh Framework funded collaborative research project, REPRO, on which it is based. A
Bennett, Casey C; Hauser, Kris
In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to address these challenges. This framework serves two potential functions: (1) a simulation environment for exploring various healthcare policies, payment methodologies, etc., and (2) the basis for clinical artificial intelligence - an AI that can "think like a doctor". This approach combines Markov decision processes and dynamic decision networks to learn from clinical data and develop complex plans via simulation of alternative sequential decision paths while capturing the sometimes conflicting, sometimes synergistic interactions of various components in the healthcare system. It can operate in partially observable environments (in the case of missing observations or data) by maintaining belief states about patient health status and functions as an online agent that plans and re-plans as actions are performed and new observations are obtained. This framework was evaluated using real patient data from an electronic health record. The results demonstrate the feasibility of this approach; such an AI framework easily outperforms the current treatment-as-usual (TAU) case-rate/fee-for-service models of healthcare. The cost per unit of outcome change (CPUC) was $189 vs. $497 for AI vs. TAU (where lower is considered optimal) - while at the same time the AI approach could obtain a 30-35% increase in patient outcomes. Tweaking certain AI model parameters could further enhance this advantage, obtaining approximately 50% more improvement (outcome change) for roughly half the costs. Given careful design and problem formulation, an AI simulation framework can approximate optimal
Piet, Steven James; Dettmers, Dana Lee; Dakins, Maxine Ellen; Eide, Steven Arvid; Gibson, Patrick Lavern; Joe, Jeffrey Clark; Kerr, Thomas A; Nitschke, Robert Leon; Oswald, Kyle Blaine; Reisenauer, John Phillip
The effects of closure decisions for used nuclear facilities can extend centuries into the future. Yet, the longevity of decisions made over the past half century has been poor. Our goal is an improved decision framework for decommissioning, stewardship, and waste management. This paper describes our overall framework. Companion papers describe the underlying philosophy of the KONVERGENCE Model for Sustainable Decisions1 and implications for a class of intractable decision problems.2 Where knowledge, values, and resources converge (the K, V, and R in KONVERGENCE), you will find a sustainable decision – a decision that works over time. Our approach clarifies what is needed to make and keep decisions over relevant time periods. The process guides participants through establishing the real problem, understanding the universes of knowledge, values, resources, and generating alternatives. We explore three classes of alternatives – reusable (e.g. greenfield), closed (e.g. entombed structures), and adaptable. After testing for konvergence of alternatives among knowledge, values, resources, we offer suggestions to diagnose divergence, to reduce divergence by refining alternatives to address identified weaknesses, and to plan to keep konvergence over the life of the decision. We believe that decisions made via this method will better stand the test of time – because it will be either acceptable to keep them unchanged or possible to adapt them as knowledge, values, and resources change.
Full Text Available Large group decision making considering multiple attributes is imperative in many decision areas. The weights of the decision makers (DMs is difficult to obtain for the large number of DMs. To cope with this issue, an integrated multiple-attributes large group decision making framework is proposed in this article. The fuzziness and hesitation of the linguistic decision variables are described by interval-valued intuitionistic fuzzy sets. The weights of the DMs are optimized by constructing a non-linear programming model, in which the original decision matrices are aggregated by using the interval-valued intuitionistic fuzzy weighted average operator. By solving the non-linear programming model with MATLAB®, the weights of the DMs and the fuzzy comprehensive decision matrix are determined. Then the weights of the criteria are calculated based on the information entropy theory. At last, the TOPSIS framework is employed to establish the decision process. The divergence between interval-valued intuitionistic fuzzy numbers is calculated by interval-valued intuitionistic fuzzy cross entropy. A real-world case study is constructed to elaborate the feasibility and effectiveness of the proposed methodology.
Martin, J.; Runge, M.C.; Nichols, J.D.; Lubow, B.C.; Kendall, W.L.
Thresholds and their relevance to conservation have become a major topic of discussion in the ecological literature. Unfortunately, in many cases the lack of a clear conceptual framework for thinking about thresholds may have led to confusion in attempts to apply the concept of thresholds to conservation decisions. Here, we advocate a framework for thinking about thresholds in terms of a structured decision making process. The purpose of this framework is to promote a logical and transparent process for making informed decisions for conservation. Specification of such a framework leads naturally to consideration of definitions and roles of different kinds of thresholds in the process. We distinguish among three categories of thresholds. Ecological thresholds are values of system state variables at which small changes bring about substantial changes in system dynamics. Utility thresholds are components of management objectives (determined by human values) and are values of state or performance variables at which small changes yield substantial changes in the value of the management outcome. Decision thresholds are values of system state variables at which small changes prompt changes in management actions in order to reach specified management objectives. The approach that we present focuses directly on the objectives of management, with an aim to providing decisions that are optimal with respect to those objectives. This approach clearly distinguishes the components of the decision process that are inherently subjective (management objectives, potential management actions) from those that are more objective (system models, estimates of system state). Optimization based on these components then leads to decision matrices specifying optimal actions to be taken at various values of system state variables. Values of state variables separating different actions in such matrices are viewed as decision thresholds. Utility thresholds are included in the objectives
Full Text Available Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future bioclimatic and socioeconomic conditions, and the ways decisions are evaluated and made. We investigate the adaptive management process and develop a framework including these three aspects, thus providing a structured way to analyze the challenges and opportunities of managing forests in the face of climate change. We apply the framework for a range of case studies that differ in the way climate and its impacts are projected to change, the available management options, and how decision makers develop, update, and use their beliefs about climate change scenarios to select among adaptation options, each being optimal for a certain climate change scenario. We describe four stylized types of decision-making processes that differ in how they (1 take into account uncertainty and new information on the state and development of the climate and (2 evaluate alternative management decisions: the "no-change," the "reactive," the "trend-adaptive," and the "forward-looking adaptive" decision-making types. Accordingly, we evaluate the experiences with alternative management strategies and recent publications on using Bayesian optimization methods that account for different simulated learning schemes based on varying knowledge, belief, and information. Finally, our proposed framework for identifying adaptation strategies provides solutions for enhancing forest structure and diversity, biomass and timber production, and reducing climate change-induced damages. They are spatially heterogeneous, reflecting the diversity in growing conditions and socioeconomic settings within Europe.
Xue, Jie; Gui, Dongwei; Zhao, Ying; Lei, Jiaqiang; Zeng, Fanjiang; Feng, Xinlong; Mao, Donglei; Shareef, Muhammad
The competition for water resources between agricultural and natural oasis ecosystems has become an increasingly serious problem in oasis areas worldwide. Recently, the intensive extension of oasis farmland has led to excessive exploitation of water discharge, and consequently has resulted in a lack of water supply in natural oasis. To coordinate the conflicts, this paper provides a decision-making framework for modeling environmental flows in oasis areas using Bayesian networks (BNs). Three components are included in the framework: (1) assessment of agricultural economic loss due to meeting environmental flow requirements; (2) decision-making analysis using BNs; and (3) environmental flow decision-making under different water management scenarios. The decision-making criterion is determined based on intersection point analysis between the probability of large-level total agro-economic loss and the ratio of total to maximum agro-economic output by satisfying environmental flows. An application in the Qira oasis area of the Tarim Basin, Northwest China indicates that BNs can model environmental flow decision-making associated with agricultural economic loss effectively, as a powerful tool to coordinate water-use conflicts. In the case study, the environmental flow requirement is determined as 50.24%, 49.71% and 48.73% of the natural river flow in wet, normal and dry years, respectively. Without further agricultural economic loss, 1.93%, 0.66% and 0.43% of more river discharge can be allocated to eco-environmental water demands under the combined strategy in wet, normal and dry years, respectively. This work provides a valuable reference for environmental flow decision-making in any oasis area worldwide.
McCoy, E.D.; Berry, K.
Relocation is an increasingly prominent conservation tool for a variety of wildlife, but the technique also is controversial, even among conservation practitioners. An organized framework for addressing the moral dilemmas often accompanying conservation actions such as relocation has been lacking. Ecological ethics may provide such a framework and appears to be an important step forward in aiding ecological researchers and biodiversity managers to make difficult moral choices. A specific application of this framework can make the reasoning process more transparent and give more emphasis to the strong sentiments about non-human organisms held by many potential users. Providing an example of the application of the framework may also increase the appeal of the reasoning process to ecological researchers and biodiversity managers. Relocation as a conservation action can be accompanied by a variety of moral dilemmas that reflect the interconnection of values, ethical positions, and conservation decisions. A model that is designed to address moral dilemmas arising from relocation of humans provides/demonstrates/illustrates a possible way to apply the ecological ethics framework and to involve practicing conservationists in the overall decision-making process. ?? 2008 Springer Science+Business Media B.V.
McCoy, Earl D; Berry, Kristin
Relocation is an increasingly prominent conservation tool for a variety of wildlife, but the technique also is controversial, even among conservation practitioners. An organized framework for addressing the moral dilemmas often accompanying conservation actions such as relocation has been lacking. Ecological ethics may provide such a framework and appears to be an important step forward in aiding ecological researchers and biodiversity managers to make difficult moral choices. A specific application of this framework can make the reasoning process more transparent and give more emphasis to the strong sentiments about non-human organisms held by many potential users. Providing an example of the application of the framework may also increase the appeal of the reasoning process to ecological researchers and biodiversity managers. Relocation as a conservation action can be accompanied by a variety of moral dilemmas that reflect the interconnection of values, ethical positions, and conservation decisions. A model that is designed to address moral dilemmas arising from relocation of humans provides/demonstrates/illustrates a possible way to apply the ecological ethics framework and to involve practicing conservationists in the overall decision-making process.
Davis, Stephen H.
This article takes a critical look at administrative decision making in schools and the extent to which complex decisions conform to normative models and common expectations of rationality. An alternative framework for administrative decision making is presented that is informed, but not driven, by theories of rationality. The framework assumes…
Wang, Mingming; Sweetapple, Chris; Fu, Guangtao; Farmani, Raziyeh; Butler, David
This paper presents a new framework for decision making in sustainable drainage system (SuDS) scheme design. It integrates resilience, hydraulic performance, pollution control, rainwater usage, energy analysis, greenhouse gas (GHG) emissions and costs, and has 12 indicators. The multi-criteria analysis methods of entropy weight and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were selected to support SuDS scheme selection. The effectiveness of the framework is demonstrated with a SuDS case in China. Indicators used include flood volume, flood duration, a hydraulic performance indicator, cost and resilience. Resilience is an important design consideration, and it supports scheme selection in the case study. The proposed framework will help a decision maker to choose an appropriate design scheme for implementation without subjectivity. Copyright © 2017 Elsevier Ltd. All rights reserved.
Full Text Available Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.
Rajavel, Rajkumar; Thangarathinam, Mala
Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.
UDIAS MOINELO ANGEL; MALAGO ANNA; REYNAUD ARNAUD; PASTORI MARCO; VIGIAK OLGA; BOURAOUI Faycal
The work presents and illustrates the application of R-SWAT-DM, a new R framework designed for Decision Making (DM), related to the implementation of Best Management Practices (BMPs), for restoring and protecting the good ecological status of freshwater bodies. R-SWAT-DM combines the use of the SWAT watershed model, the spatial representation of BMPs and an economic component. The SWAT model served as the nonpoint source pollution estimator for current conditions (base line) as well as for sc...
As part of its day to day business NDA must be able to demonstrate that it is delivering value for money across its entire estate, as this is essential to securing funding from government and demonstrating to stakeholders that NDA is delivering on its mission. Value comes in many forms such as an improved environment, hazard reduction, changes in sky line, social amenities, money, employment etc. Depending on the perspective of the receiver, and their closeness to the affected area, the relative weighting they place on the different aspects of value will vary. Therefore the challenge to NDA has been how to get a consistent approach to measuring value that is broadly acceptable to stakeholders and allows the different aspects of value to be compared and decisions made on a national basis. This paper describes the work undertaken by NDA to develop a Value Framework to support decision making at both the strategic and tactical level and addresses the following topics: - The relationship between the value framework and UK government guidance on business case development and options appraisal - The development of the value framework tool kit including previous work on the NDA prioritisation process and the derivation of Safety and Environmental Detriment scores - How NDA uses the value framework in its decision making processes. (author)
Full Text Available Background Sensor technologies are designed to assist independent living of older adults. However, it is often difficult for older adults to make an informed decision about adopting sensor technologies.Objective To explore Bruce’s framework of informed decision making (IDM for in-home use of sensor technologies in community-dwelling elders.Method The IDM framework guided development of a semi-structured interview. A theory-driven coding approach was used for analysis.Results Participants supported most of the elements of the framework, but not all aspects of each element were addressed. Perceived usefulness of technologies was identified as an area for framework extension.Conclusion This paper provides useful information for health care professionals to consider how to enhance IDM of older adults regarding the use of sensor technologies. The results also illuminate elements of the IDM framework that may be critical to facilitating independent living for older adults.
Voglmayr, Elisabeth; Widder, Joachim
By means of a case report on a 44-year-old female patient, we show how, with changing personnel and places of care, decisions as well as the kind of decision-making during illness influence the quality of care. The patient was receiving immunosuppressive therapy after kidney transplantation and then suffered from a carcinomatous ovary. At first she refused postoperative chemotherapy, but then returned with a very advanced state of metastatic growth. The lack of continuity, a missing overall interdisciplinary concept of medical case, as well as the failure to document decision processes and the patient's attitude to life and suffering made it difficult for the caring team to accompany her in the last weeks of life. A possible solution to such a complex problem will be the introduction of ethical case deliberation.
Yang, Yueran; Guyll, Max; Madon, Stephanie
This article presents a new model of confessions referred to as the interrogation decision-making model . This model provides a theoretical umbrella with which to understand and analyze suspects' decisions to deny or confess guilt in the context of a custodial interrogation. The model draws upon expected utility theory to propose a mathematical account of the psychological mechanisms that not only underlie suspects' decisions to deny or confess guilt at any specific point during an interrogation, but also how confession decisions can change over time. Findings from the extant literature pertaining to confessions are considered to demonstrate how the model offers a comprehensive and integrative framework for organizing a range of effects within a limited set of model parameters. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Grill, Kalle; Dawson, Angus
A number of ethical frameworks have been proposed to support decision-making in public health and the evaluation of public health policy and practice. This is encouraging, since ethical considerations are of paramount importance in health policy. However, these frameworks have various deficiencies, in part because they incorporate substantial ethical positions. In this article, we discuss and criticise a framework developed by James Childress and Ruth Bernheim, which we consider to be the state of the art in the field. Their framework distinguishes aims, such as the promotion of public health, from constraints on the pursuit of those aims, such as the requirement to avoid limitations to liberty, or the requirement to be impartial. We show how this structure creates both theoretical and practical problems. We then go on to present and defend a more practical framework, one that is neutral in avoiding precommitment to particular values and how they ought to be weighted. We believe ethics is at the very heart of such weightings and our framework is developed to reflect this belief. It is therefore both pluralist and value-based. We compare our new framework to Childress and Bernheim's and outline its advantages. It is justified by its impetus to consider a wide range of alternatives and its tendency to direct decisions towards the best alternatives, as well as by the information provided by the ranking of alternatives and transparent explication of the judgements that motivate this ranking. The new framework presented should be useful to decision-makers in public health, as well as being a means to stimulate further reflection on the role of ethics in public health.
Piegorsch, Karen M; Watkins, Ken W; Piegorsch, Walter W; Reininger, Belinda; Corwin, Sara J; Valois, Robert F
Ergonomists play an important role in preventing and controlling work-related injuries and illnesses, yet little is known about the decision-making processes that lead to their recommendations. This study (1) generated a data-grounded conceptual framework, based on schema theory, for ergonomic decision-making by experienced practitioners in the USA and (2) assessed the adequacy of that framework for describing the decision-making of ergonomics practitioners from backgrounds in industrial engineering (IE) and physical therapy (PT). A combination of qualitative and quantitative analyses, within and across 54 decision-making situations derived from in-depth interviews with 21 practitioners, indicated that a single framework adequately describes the decision-making of experienced practitioners from these backgrounds. Results indicate that demands of the practitioner environment and practitioner factors such as personality more strongly influence the decision-making of experienced ergonomics practitioners than does practitioner background in IE or PT.
Brewer, Jeffrey D.
The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate the wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system
Nicolini, Marie; Vandenberghe, Joris; Gastmans, Chris
In the era of deinstitutionalisation of psychiatric patients, steady or even increasing rates of compulsory commitment to care (CCC) are an intriguing phenomenon to analyse. From a clinical, legal and ethical perspective, CCC continues to be a controversial practice in psychiatry, and perhaps even more so when applied to patients with severe substance use disorder (SUD). Several reasons make it controversial. The lack of consensus about the benefits of CCC and professional disagreement about what mental illness and autonomy mean in the case of SUD make it difficult to apply ethically sound clinical decision-making in CCC. Also, the medico-legal framework underlying CCC use sometimes appears to foster the use of reductionist clinical evaluation. Layered on top of these issues is how stakeholders view coercion. There is a discrepancy between clinicians' and patients' perception of coercion, which leads to clinician-patient differences on whether CCC is necessary. Moreover, the way in which the evaluation is typically carried out influences patients' perception of coercion and subsequently their motivation for participating fully in treatment. In this article, we explore the value of care ethics, often applied to care practices such as nursing, when applied to more procedural medical practices, such as decision-making regarding CCC. The care-ethical approach views decision-making as part of a dynamic care process, within which the lived experience, interpretative dialogue and promotion of dignity are core features. Embracing this new framework means a paradigm shift in when the therapeutic relationship begins, namely, investing in it occurs while conducting an evaluation for a possible CCC procedure. Unlike in current typical evaluations, early cultivation of the therapeutic relationship enables the patient to participate in the definition of his needs, reduces perceived coercion and negative emotions and enhances treatment motivation. Finally, implications of this
Operators and regulators of nuclear power plants agree on the importance of maintaining safety and controlling accident risks. Effective safety and risk management requires treatment of both technical and organizational components. Probabilistic Risk Assessment (PRA) provides tools for technical risk management. However, organizational factors are not treated in PRA, but are addressed using different approaches. To bring both components together, a framework of Risk Informed Decision Making (RIDM) is needed. The objective tree structure of the International Atomic Energy Agency (IAEA) is a promising approach to combine both elements. Effective collaboration involving regulatory and industry groups is needed to accomplish the integration. (author)
Rast, W.; Holland, M.
The development of management strategies for the protection of environmental quality usually involves consideration both of technical and nontechnical issues. A logical, step-by-step framework for development of such strategies is provided. Its application to the control of cultured eutrophication of lakes and reservoirs illustrates its potential usefulness. From the perspective of the policymaker, the main consideration is that the eutrophication-related water quality of a lake or reservoir can be managed for given water uses. The approach presented here allows the rational assessment of relevant water-quality parameters and establishment of water-quality goals, consideration of social and other nontechnical issues, the possibilities of public involvement in the decision-making process, and a reasonable economic analysis within a management framework.
Mellers, B A; Schwartz, A; Cooke, A D
For many decades, research in judgment and decision making has examined behavioral violations of rational choice theory. In that framework, rationality is expressed as a single correct decision shared by experimenters and subjects that satisfies internal coherence within a set of preferences and beliefs. Outside of psychology, social scientists are now debating the need to modify rational choice theory with behavioral assumptions. Within psychology, researchers are debating assumptions about errors for many different definitions of rationality. Alternative frameworks are being proposed. These frameworks view decisions as more reasonable and adaptive that previously thought. For example, "rule following." Rule following, which occurs when a rule or norm is applied to a situation, often minimizes effort and provides satisfying solutions that are "good enough," though not necessarily the best. When rules are ambiguous, people look for reasons to guide their decisions. They may also let their emotions take charge. This chapter presents recent research on judgment and decision making from traditional and alternative frameworks.
Approved for public release; distribution is unlimited This thesis develops a heuristic approach to organizational decision-making by synthesizing the classical, neo-classical and contingency approaches to organization theory. The conceptual framework developed also integrates the rational and cybernetic approaches with cognitive processes underlying the decision-making process. The components of the approach address the role of environment in organizational decision-maki...
Tobler, P.N.; Kalis, A.; Kalenscher, T.
What decisions should we make? Moral values, rules, and virtues provide standards for morally acceptable decisions, without prescribing how we should reach them. However, moral theories do assume that we are, at least in principle, capable of making the right decisions. Consequently, an empirical
This study examines strategic decision-making at the college level in relation to seven theoretical frames. Strategic decisions are those made by top executives, have wide-ranging influence throughout the organization, affect the long-term future of the organization, and are connected to the external environment. The seven decision-making frames…
Ruohonen, Toni; Ennejmy, Mohammed
Making reliable and justified operational and strategic decisions is a really challenging task in the health care domain. So far, the decisions have been made based on the experience of managers and staff, or they are evaluated with traditional methods, using inadequate data. As a result of this kind of decision-making process, attempts to improve operations usually have failed or led to only local improvements. Health care organizations have a lot of operational data, in addition to clinical data, which is the key element for making reliable and justified decisions. However, it is progressively problematic to access it and make usage of it. In this paper we discuss about the possibilities how to exploit operational data in the most efficient way in the decision-making process. We'll share our future visions and propose a conceptual framework for automating the decision-making process.
Daemi, Mehdi; Harris, Laurence R; Crawford, J Douglas
Animals try to make sense of sensory information from multiple modalities by categorizing them into perceptions of individual or multiple external objects or internal concepts. For example, the brain constructs sensory, spatial representations of the locations of visual and auditory stimuli in the visual and auditory cortices based on retinal and cochlear stimulations. Currently, it is not known how the brain compares the temporal and spatial features of these sensory representations to decide whether they originate from the same or separate sources in space. Here, we propose a computational model of how the brain might solve such a task. We reduce the visual and auditory information to time-varying, finite-dimensional signals. We introduce controlled, leaky integrators as working memory that retains the sensory information for the limited time-course of task implementation. We propose our model within an evidence-based, decision-making framework, where the alternative plan units are saliency maps of space. A spatiotemporal similarity measure, computed directly from the unimodal signals, is suggested as the criterion to infer common or separate causes. We provide simulations that (1) validate our model against behavioral, experimental results in tasks where the participants were asked to report common or separate causes for cross-modal stimuli presented with arbitrary spatial and temporal disparities. (2) Predict the behavior in novel experiments where stimuli have different combinations of spatial, temporal, and reliability features. (3) Illustrate the dynamics of the proposed internal system. These results confirm our spatiotemporal similarity measure as a viable criterion for causal inference, and our decision-making framework as a viable mechanism for target selection, which may be used by the brain in cross-modal situations. Further, we suggest that a similar approach can be extended to other cognitive problems where working memory is a limiting factor, such
Robin C. van den Honert
Full Text Available Economic losses from natural disasters pose significant challenges to communities and to the insurance industry. Natural disaster mitigation aims to reduce the threat to people and assets from natural perils. Good decisions relating to hazard risk mitigation require judgments both about the scientific and financial issues involved, i.e., the efficacy of some intervention, and the ethical or value principles to adopt in allocating resources. A framework for selecting a set of mitigation options within a limited budget is developed. Project selection about natural disaster mitigation options needs to trade off benefits offered by alternative investments (e.g., fatalities and injuries avoided, potential property and infrastructure losses prevented, safety concerns of citizens, etc. against the costs of investment. Such costs include capital and on-going operational costs, as well as intangible costs, such as the impact of the project on the visual landscape or the loss of societal cohesion in the event of the relocation of part of a community. Furthermore, dollar costs of any potential project will need to be defined within some prescribed budget and time frame. Taking all of these factors into account, this paper develops a framework for good natural hazard mitigation decision making and selection.
King, Russel J.
This qualitative study, using a modified Delphi method, was conducted to develop a decision-making framework for the total ownership cost management of complex systems in the aerospace industry. The primary focus of total ownership cost is to look beyond the purchase price when evaluating complex system life cycle alternatives. A thorough literature review and the opinions of a group of qualified experts resulted in a compilation of total ownership cost best practices, cost drivers, key performance factors, applicable assessment methods, practitioner credentials and potential barriers to effective implementation. The expert panel provided responses to the study questions using a 5-point Likert-type scale. Data were analyzed and provided to the panel members for review and discussion with the intent to achieve group consensus. As a result of the study, the experts agreed that a total ownership cost analysis should (a) be as simple as possible using historical data; (b) establish cost targets, metrics, and penalties early in the program; (c) monitor the targets throughout the product lifecycle and revise them as applicable historical data becomes available; and (d) directly link total ownership cost elements with other success factors during program development. The resultant study framework provides the business leader with incentives and methods to develop and implement strategies for controlling and reducing total ownership cost over the entire product life cycle when balancing cost, schedule, and performance decisions.
Manap, Norpadzlihatun; Voulvoulis, Nikolaos
The aim of this study was to develop a risk-based decision-making framework for the selection of sediment dredging option. Descriptions using case studies of the newly integrated, holistic and staged framework were followed. The first stage utilized the historical dredging monitoring data and the contamination level in media data into Ecological Risk Assessment phases, which have been altered for benefits in cost, time and simplicity. How Multi-Criteria Decision Analysis (MCDA) can be used to analyze and prioritize dredging areas based on environmental, socio-economic and managerial criteria was described for the next stage. The results from MCDA will be integrated into Ecological Risk Assessment to characterize the degree of contamination in the prioritized areas. The last stage was later described using these findings and analyzed using MCDA, in order to identify the best sediment dredging option, accounting for the economic, environmental and technical aspects of dredging, which is beneficial for dredging and sediment management industries. Copyright © 2014 Elsevier B.V. All rights reserved.
The protection of process plants from external events is mandatory in the Seveso Directive. Among these events figures the possibility of inundation of a plant, which may cause a hazard by disabling technical components and obviating operator interventions. A methodological framework for dealing with hazards from potential flooding events is presented. It combines an extension of the fault tree method with generic properties of flooding events in rivers and of dikes, which should be adapted to site-specific characteristics in a concrete case. Thus, a rational basis for deciding whether upgrading is required or not and which of the components should be upgraded is provided. Both the deterministic and the probabilistic approaches are compared. Preference is given to the probabilistic one. The conclusions drawn naturally depend on the scope and detail of the model calculations and the decision criterion adopted. The latter has to be supplied from outside the analysis, e.g. by the analyst himself, the plant operator or the competent authority. It turns out that decision-making is only viable if the boundary conditions for both the procedure of analysis and the decision criterion are clear.
Tanner-McAllister, Sherri L; Rhodes, Jonathan; Hockings, Marc
Current protected area management is becoming more challenging with advancing climate change and current park management techniques may not be adequate to adapt for effective management into the future. The framework presented here provides an adaptive management decision making process to assist protected area managers with adapting on-park management to climate change. The framework sets out a 4 step process. One, a good understanding of the park's context within climate change. Secondly, a thorough understanding of the park management systems including governance, planning and management systems. Thirdly, a series of management options set out as an accept/prevent change style structure, including a systematic assessment of those options. The adaptive approaches are defined as acceptance of anthropogenic climate change impact and attempt to adapt to a new climatic environment or prevention of change and attempt to maintain current systems under new climatic variations. Last, implementation and monitoring of long term trends in response to ecological responses to management interventions and assessing management effectiveness. The framework addresses many issues currently with park management in dealing with climate change including the considerable amount of research focussing on 'off-reserve' strategies, and threats and stress focused in situ park management. Copyright © 2017 Elsevier Ltd. All rights reserved.
Matlock, Daniel D; Jones, Jacqueline; Nowels, Carolyn T; Jenkins, Amy; Allen, Larry A; Kutner, Jean S
Studies have demonstrated that patients with primary prevention implantable cardioverter-defibrillators (ICDs) often misunderstand the ICD. Advances in behavioral economics demonstrate that some misunderstandings may be due to cognitive biases. We aimed to explore the influence of cognitive bias on ICD decision making. We used a qualitative framework analysis including 9 cognitive biases: affect heuristic, affective forecasting, anchoring, availability, default effects, halo effects, optimism bias, framing effects, and state dependence. We interviewed 48 patients from 4 settings in Denver. The majority were male (n = 32). Overall median age was 61 years. We found frequent evidence for framing, default, and halo effects; some evidence of optimism bias, affect heuristic, state dependence, anchoring and availability bias; and little or no evidence of affective forecasting. Framing effects were apparent in overestimation of benefits and downplaying or omitting potential harms. We found evidence of cognitive bias in decision making for ICD implantation. The majority of these biases appeared to encourage ICD treatment. Published by Elsevier Inc.
Mahmoud, M.; Liu, Yajing; Hartmann, H.; Stewart, S.; Wagener, T.; Semmens, D.; Stewart, R.; Gupta, H.; Dominguez, D.; Dominguez, F.; Hulse, D.; Letcher, R.; Rashleigh, Brenda; Smith, C.; Street, R.; Ticehurst, J.; Twery, M.; van, Delden H.; Waldick, R.; White, D.; Winter, L.
Scenarios are possible future states of the world that represent alternative plausible conditions under different assumptions. Often, scenarios are developed in a context relevant to stakeholders involved in their applications since the evaluation of scenario outcomes and implications can enhance decision-making activities. This paper reviews the state-of-the-art of scenario development and proposes a formal approach to scenario development in environmental decision-making. The discussion of current issues in scenario studies includes advantages and obstacles in utilizing a formal scenario development framework, and the different forms of uncertainty inherent in scenario development, as well as how they should be treated. An appendix for common scenario terminology has been attached for clarity. Major recommendations for future research in this area include proper consideration of uncertainty in scenario studies in particular in relation to stakeholder relevant information, construction of scenarios that are more diverse in nature, and sharing of information and resources among the scenario development research community. ?? 2008 Elsevier Ltd.
Brewer, Jeffrey D.
The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate the wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.
Smith, David R.; McGowan, Conor P.; Daily, Jonathan P.; Nichols, James D.; Sweka, John A.; Lyons, James E.
Application of adaptive management to complex natural resource systems requires careful evaluation to ensure that the process leads to improved decision-making. As part of that evaluation, adaptive policies can be compared with alternative nonadaptive management scenarios. Also, the value of reducing structural (ecological) uncertainty to achieving management objectives can be quantified.A multispecies adaptive management framework was recently adopted by the Atlantic States Marine Fisheries Commission for sustainable harvest of Delaware Bay horseshoe crabs Limulus polyphemus, while maintaining adequate stopover habitat for migrating red knots Calidris canutus rufa, the focal shorebird species. The predictive model set encompassed the structural uncertainty in the relationships between horseshoe crab spawning, red knot weight gain and red knot vital rates. Stochastic dynamic programming was used to generate a state-dependent strategy for harvest decisions given that uncertainty. In this paper, we employed a management strategy evaluation approach to evaluate the performance of this adaptive management framework. Active adaptive management was used by including model weights as state variables in the optimization and reducing structural uncertainty by model weight updating.We found that the value of information for reducing structural uncertainty is expected to be low, because the uncertainty does not appear to impede effective management. Harvest policy responded to abundance levels of both species regardless of uncertainty in the specific relationship that generated those abundances. Thus, the expected horseshoe crab harvest and red knot abundance were similar when the population generating model was uncertain or known, and harvest policy was robust to structural uncertainty as specified.Synthesis and applications. The combination of management strategy evaluation with state-dependent strategies from stochastic dynamic programming was an informative approach to
Humanitarian NGOs face difficult choices about whom to help and whom not on a daily basis. The research question in this article is how humanitarian NGOs make these difficult decisions and why in a particular way. March's study on consequential and appropriate decision-making processes is used to
Loyens, Kim|info:eu-repo/dai/nl/370525086; Maesschalck, Jeroen
Much research has been done on the way in which individuals in organizations deal with their discretion. This article focuses on the literature on street-level bureaucracy and the literature on ethical decision making. Despite their shared attempt to explain individual behavior and decision making,
Eling, K.; Griffin, A.; Langerak, F.
The goal of decision-making during the execution of the fuzzy front end (FFE) is to develop a creative new product concept. Although intuitive decision-making has been found to increase new product creativity, the theoretical knowledge base as to why and under which conditions intuition use during
Liefbroer, A.C.; Klobas, J.; Philipov, D.; Ajzen, I.; Philipov, D.; Liefbroer, A.C.; Klobas, J.E.
This book provides new insights into the significant gap that currently exists between desired and actual fertility in Europe. It examines how people make decisions about having children and demonstrates how the macro-level environment affects micro-level decision-making. Written by an international
Dragičević-Radičević, Tatjana; Mitrović, Ranka; Mikuljević, Milica
For the purpose of effective and efficient decision-making participation of employees in decision-making on important influences raise employee motivation, encouraging the creative potential of people and overall, improve the quality of decisions, and thus on the overall organizational performance. In order to meet this requirement that employees must have the relevant information regarding the status and position of the company they work for and that they know the proper usage. That's why pa...
Tobler, Philippe N; Kalis, Annemarie; Kalenscher, Tobias
What decisions should we make? Moral values, rules, and virtues provide standards for morally acceptable decisions, without prescribing how we should reach them. However, moral theories do assume that we are, at least in principle, capable of making the right decisions. Consequently, an empirical investigation of the methods and resources we use for making moral decisions becomes relevant. We consider theoretical parallels of economic decision theory and moral utilitarianism and suggest that moral decision making may tap into mechanisms and processes that have originally evolved for nonmoral decision making. For example, the computation of reward value occurs through the combination of probability and magnitude; similar computation might also be used for determining utilitarian moral value. Both nonmoral and moral decisions may resort to intuitions and heuristics. Learning mechanisms implicated in the assignment of reward value to stimuli, actions, and outcomes may also enable us to determine moral value and assign it to stimuli, actions, and outcomes. In conclusion, we suggest that moral capabilities can employ and benefit from a variety of nonmoral decision-making and learning mechanisms.
The National Transportation System (NTS) is undoubtedly a complex system-of-systems---a collection of diverse 'things' that evolve over time, organized at multiple levels, to achieve a range of possibly conflicting objectives, and never quite behaving as planned. The purpose of this research is to develop a virtual transportation architecture for the ultimate goal of formulating an integrated decision-making framework. The foundational endeavor begins with creating an abstraction of the NTS with the belief that a holistic frame of reference is required to properly study such a multi-disciplinary, trans-domain system. The culmination of the effort produces the Transportation Architecture Field (TAF) as a mental model of the NTS, in which the relationships between four basic entity groups are identified and articulated. This entity-centric abstraction framework underpins the construction of a virtual NTS couched in the form of an agent-based model. The transportation consumers and the service providers are identified as adaptive agents that apply a set of preprogrammed behavioral rules to achieve their respective goals. The transportation infrastructure and multitude of exogenous entities (disruptors and drivers) in the whole system can also be represented without resorting to an extremely complicated structure. The outcome is a flexible, scalable, computational model that allows for examination of numerous scenarios which involve the cascade of interrelated effects of aviation technology, infrastructure, and socioeconomic changes throughout the entire system.
Chahine, Saad; Cristancho, Sayra; Padgett, Jessica; Lingard, Lorelei
In the competency-based medical education (CBME) approach, clinical competency committees are responsible for making decisions about trainees' competence. However, we currently lack a theoretical model for group decision-making to inform this emerging assessment phenomenon. This paper proposes an organizing framework to study and guide the decision-making processes of clinical competency committees.This is an explanatory, non-exhaustive review, tailored to identify relevant theoretical and evidence-based papers related to small group decision-making. The search was conducted using Google Scholar, Web of Science, MEDLINE, ERIC, and PsycINFO for relevant literature. Using a thematic analysis, two researchers (SC & JP) met four times between April-June 2016 to consolidate the literature included in this review.Three theoretical orientations towards group decision-making emerged from the review: schema, constructivist, and social influence. Schema orientations focus on how groups use algorithms for decision-making. Constructivist orientations focus on how groups construct their shared understanding. Social influence orientations focus on how individual members influence the group's perspective on a decision. Moderators of decision-making relevant to all orientations include: guidelines, stressors, authority, and leadership.Clinical competency committees are the mechanisms by which groups of clinicians will be in charge of interpreting multiple assessment data points and coming to a shared decision about trainee competence. The way in which these committees make decisions can have huge implications for trainee progression and, ultimately, patient care. Therefore, there is a pressing need to build the science of how such group decision-making works in practice. This synthesis suggests a preliminary organizing framework that can be used in the implementation and study of clinical competency committees.
Davidson, Gavin; Brophy, Lisa; Campbell, Jim; Farrell, Susan J; Gooding, Piers; O'Brien, Ann-Marie
There have been important recent developments in law, research, policy and practice relating to supporting people with decision-making impairments, in particular when a person's wishes and preferences are unclear or inaccessible. A driver in this respect is the United Nations Convention on the Rights of Persons with Disabilities (CRPD); the implications of the CRPD for policy and professional practices are currently debated. This article reviews and compares four legal frameworks for supported and substitute decision-making for people whose decision-making ability is impaired. In particular, it explores how these frameworks may apply to people with mental health problems. The four jurisdictions are: Ontario, Canada; Victoria, Australia; England and Wales, United Kingdom (UK); and Northern Ireland, UK. Comparisons and contrasts are made in the key areas of: the legal framework for supported and substitute decision-making; the criteria for intervention; the assessment process; the safeguards; and issues in practice. Thus Ontario has developed a relatively comprehensive, progressive and influential legal framework over the past 30 years but there remain concerns about the standardisation of decision-making ability assessments and how the laws work together. In Australia, the Victorian Law Reform Commission (2012) has recommended that the six different types of substitute decision-making under the three laws in that jurisdiction, need to be simplified, and integrated into a spectrum that includes supported decision-making. In England and Wales the Mental Capacity Act 2005 has a complex interface with mental health law. In Northern Ireland it is proposed to introduce a new Mental Capacity (Health, Welfare and Finance) Bill that will provide a unified structure for all substitute decision-making. The discussion will consider the key strengths and limitations of the approaches in each jurisdiction and identify possible ways that further progress can be made in law, policy
Manson, Helen M
Ethical analysis frameworks can help to identify the ethical dimensions to clinical care and provide a method for justifying clinical decisions. Published frameworks, however, have some limitations to easy, practical use. The aim was to identify a comprehensive yet easy-to-use framework that clarifies ethical decision-making, suitable for use by medical learners and clinical educators. A literature search identified published frameworks that define the components of ethical clinical decision-making. On this basis, a new framework, the 'CoRE-Values Compass and Grid' was constructed. This was formally evaluated during a medical school interprofessional teaching session. For 88% of 228 medical and nursing students, the new framework was easy to understand; 85% reported it as easy to use. The framework improved awareness of the ethical dimensions to a clinical scenario for 97% of students and the ability to systematically identify ethical aspects for 83%. Students and instructors reported that the framework helped to link ethics theory with clinical practice. The framework was described as a useful educational tool by 85% of students and 95% of instructors. The 'CoRE-Values Compass and Grid' is a new framework, shown to aid the systematic identification and consideration of ethical aspects to clinical cases.
Han-hui LIU; Yan-yan AN; Hui-min LI; Zhen WEI; Xing-ting ZHU; Hui-jie LI
Background Humans often display irrational choice and decision-making due to the frame effect. However, it is unclear whether this irrational choice and decision-making will increase during the aging process. Methods The present research explored development and aging of risky-seeking and rational decision-making with 232 younger adults and 120 older adults. The experiment was a 2 (Age:younger adult and old adult) × 2 (Frame: positive and negative) × 2 (Relevance: lower level and higher level...
Azadeh, Ali; Zarrin, Mansour; Hamid, Mehdi
Road accidents can be caused by different factors such as human factors. Quality of the decision-making process of drivers could have a considerable impact on preventing disasters. The main objective of this study is the analysis of factors affecting road accidents by considering the severity of accidents and decision-making styles of drivers. To this end, a novel framework is proposed based on data envelopment analysis (DEA) and statistical methods (SMs) to assess the factors affecting road accidents. In this study, for the first time, dominant decision-making styles of drivers with respect to severity of injuries are identified. To show the applicability of the proposed framework, this research employs actual data of more than 500 samples in Tehran, Iran. The empirical results indicate that the flexible decision style is the dominant style for both minor and severe levels of accident injuries. Copyright © 2015 Elsevier Ltd. All rights reserved.
Yousefpour, Rasoul; Temperli, Christian; Jacobsen, Jette Bredahl
optimal for a certain climate change scenario. We describe four stylized types of decision-making processes that differ in how they (1) take into account uncertainty and new information on the state and development of the climate and (2) evaluate alternative management decisions: the “no......-change,” the “reactive,” the “trend-adaptive,” and the “forward-looking adaptive” decision-making types. Accordingly, we evaluate the experiences with alternative management strategies and recent publications on using Bayesian optimization methods that account for different simulated learning schemes based on varying......Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future...
National Aeronautics and Space Administration — The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in...
Hozien, Wafa Ismail
The purpose of this study is to explore and describe individual Pennsylvania rural elementary principals' experiences of ethical decision-making in a complex era. Ethical dilemma, in this case, is the term used to depict an incident which calls for a decision to be made when moral values or ethical principles were in conflict. Also, to learn how…
Harputlugil, T.; Prins, M.; Tanju Gültekin, A.; Ilker Topçu, Y.
Architectural design can be considered as a process influenced by many stakeholders, each of which has different decision power. Each stakeholder might have his/her own criteria and weightings depending on his/her own perspective and role. Hence design can be seen as a multi-criteria decision making
Hartpulugil, T.; Prins, M.; Gultekin, A.T.; Topcu, Y.L.
Architectural design can be considered as a process influenced by many stakeholders, each of which has different decision power. Each stakeholder might have his/her own criteria and weightings depending on his/her own perspective and role. Hence design can be seen as a multi-criteria decision making
Yousefpour, Rasoul; Temperli, Christian; Jacobsen, Jette Bredahl; Thorsen, Bo Jellesmark; Meilby, Henrik; Lexer, Manfred J.; Lindner, Marcus; Bugmann, Harald; Borges, Jose G.; Palma, João H.N.; Ray, Duncan; Zimmermann, Niklaus E.; Delzon, Sylvain; Kremer, Antoine; Kramer, Koen; Reyer, Christopher P.O.; Lasch-Born, Petra; Garcia-Gonzalo, Jordi; Hanewinkel, Marc
Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future
Norrie, S.J.; Fang, L. [Ryerson Polytechnic Univ., Toronto, ON (Canada). Environmental Applied Science and Management Graduate Program
This paper proposed a framework for the consideration of multiple objectives in the long-term planning of electricity generation systems. The framework was comprised of 3 components: (1) information based on life-cycle inventories of electricity generation technologies; (2) a set of alternative scenarios to be evaluated and ranked using the framework; and (3) stakeholder values for decision objectives. Scenarios were developed to represent a set of future conditions, and values were derived through the use of questionnaires. Planning for electricity generation in Ontario was selected as a test case for the DM framework. Three scenarios were presented: (1) a business as usual scenario characterized by large, central power plants; (2) a mix of central power plants, distributed generation, and advanced conventional fuel technologies; and (3) small-scale distributed and renewable energy sources and aggressive demand-side management. The life-cycle based information from the scenario evaluation was used to estimate the performance of each scenario on the established decision criteria. Results showed that scenario 3 was the closest to achieving the fundamental objectives according to the decision criteria. It was concluded that the DM framework showed that the use of holistic environmental information and preferential information for multiple objectives can be integrated into a framework that openly and consistently evaluates a set of alternative scenarios. 31 refs., 7 tabs., 4 figs.
Uritskaya, O.; Robinson, R. M.; Pulkkinen, A. A.
Extreme Space Weather events (ESWE) are in the spotlight nowadays because they can produce a significant impact not only due to their intensity and broad geographical scope, but also because of the widespread levels and the multiple sectors of the economy that could be involved. In the task of evaluation of the ESWE consequences, the most problematic and vulnerable aspect is the determination and calculation of the probability of statistically infrequent events and the subsequent assessment of the economic risks. In this work, we conduct a detailed analysis of the available frameworks of the general Decision-Making Theory in the presence of uncertainty, in the context of their applicability for the numerical estimation of the risks and losses associated with ESWE. The results of our study demonstrate that, unlike the Multiple-criteria decision analysis or Minimax approach to modeling of the possible scenarios for the ESWE effects, which prevail in the literature, the most suitable concept is the Games Against Nature (GAN). It enables an evaluation of every economically relevant aspect of space weather conditions and obtain more detailed results. Choosing the appropriate methods for solving GAN models, i.e. determining the most optimal strategy with a given level of uncertainty, requires estimating the conditional probabilities of Space Weather events for each outcome of possible scenarios of this natural disaster. Due to the specifics of complex natural and economic systems, with which we are dealing in this case, this problem remains unsolved, mainly because of inevitable loss of information at every stage of the decision-making process. The analysis is illustrated by deregulated electricity markets of the USA and Canada, whose power grid systems are known to be perceptive to ESWE. The GAN model is more appropriate in identifying potential risks in economic systems. The proposed approach, when applied to the existing database of Space Weather observations and
Godoy, David R.; Pascual, Rodrigo; Knights, Peter
Maintenance outsourcing is a strategic driver for asset intensive industries pursuing to enhance supply chain performance. Spare parts management plays a relevant role in this premise since its significant impact on equipment availability, and hence on business success. Designing critical spares policies might therefore seriously affect maintenance contracts profitability, yet service receivers and external providers traditionally attempt to benefit separately. To coordinate both chain parties, we investigated whether the spare components pool should be managed in-house or contracted out. This paper provides a decision-making framework to efficiently integrate contractual conditions with critical spares stockholding. Using an imperfect maintenance strategy over a finite horizon, the scheme maximizes chain returns whilst evaluating the impact of an additional part to stock. As result, an original joint value – preventive interval and stock level – sets the optimal agreement to profitably allocate the components pool within the service contract. Subsidization bonuses on preventive interventions and pooling costs are also estimated to induce the service provider to adjust its policy when needed. The proposed contractual conditions motivate stakeholders to continuously improve maintenance performance and supply practices, thus obtaining higher joint benefits
The sport medicine clinician is faced with return-to-play (RTP) decisions for every patient who wants to return to activity. The complex interaction of factors related to history, physical examination, testing, activity and baseline characteristics can make RTP decision-making challenging. Further, when reasoning is not explicit, unnecessary conflict can arise among clinicians themselves, or among clinicians and patients. This conflict can have negative health consequences for the patient. In 2010, a transparent framework for RTP decisions was proposed. However, some have identified limitations to the framework and found difficulties in its implementation. This paper presents a revised framework that addresses the limitations, and provides concrete examples of how to apply it in simple and complex cases. 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.
Full Text Available Background Humans often display irrational choice and decision-making due to the frame effect. However, it is unclear whether this irrational choice and decision-making will increase during the aging process. Methods The present research explored development and aging of risky-seeking and rational decision-making with 232 younger adults and 120 older adults. The experiment was a 2 (Age:younger adult and old adult × 2 (Frame: positive and negative × 2 (Relevance: lower level and higher level, with the risky probability as a control variable and the decision-making scores as dependent variables. Results The results revealed that older adults demonstrated much more irrational decision-making (framing effect. In the detail, the risky decision-making score of the older adults in the positive framing was 5.13 ± 2.12, and 6.55 ± 1.05 in the negative framing [F (1, 118 = 21.470, P = 0.000; η2 = 0.156], while the risky decision-making score of the younger adults in the positive framing was 3.18 ± 2.49, and 5.00 ± 2.41 in the negative framing [F (1, 230 = 31.260, P = 0.000; η 2 = 0.121]. Meanwhile, the older adults showed risk seeking for the life-death scenario [F (1, 350 = 4.820, P = 0.029]. Conclusions These results suggested that the hypofunction in orbital and medial prefrontal cortex and amygdale in older adults might be the underlying mechanisms. Furthermore, the susceptibility to expected value (EV of the older adults might decrease although their scores in risky probability understanding were not significantly different from the younger adults. doi: 10.3969/j.issn.1672-6731.2014.03.008
Frize, Monique; Yang, Lan; Walker, Robin C; O'Connor, Annette M
This research is built on the belief that artificial intelligence estimations need to be integrated into clinical social context to create value for health-care decisions. In sophisticated neonatal intensive care units (NICUs), decisions to continue or discontinue aggressive treatment are an integral part of clinical practice. High-quality evidence supports clinical decision-making, and a decision-aid tool based on specific outcome information for individual NICU patients will provide significant support for parents and caregivers in making difficult "ethical" treatment decisions. In our approach, information on a newborn patient's likely outcomes is integrated with the physician's interpretation and parents' perspectives into codified knowledge. Context-sensitive content adaptation delivers personalized and customized information to a variety of users, from physicians to parents. The system provides structuralized knowledge translation and exchange between all participants in the decision, facilitating collaborative decision-making that involves parents at every stage on whether to initiate, continue, limit, or terminate intensive care for their infant.
Radin Umar, Radin Zaid; Sommerich, Carolyn M; Lavender, Steve A; Sanders, Elizabeth; Evans, Kevin D
Sound workplace ergonomics and safety-related interventions may be resisted by employees, and this may be detrimental to multiple stakeholders. Understanding fundamental aspects of decision making, behavioral change, and learning cycles may provide insights into pathways influencing employees' acceptance of interventions. This manuscript reviews published literature on thinking processes and other topics relevant to decision making and incorporates the findings into two new conceptual frameworks of the workplace change adoption process. Such frameworks are useful for thinking about adoption in different ways and testing changes to traditional intervention implementation processes. Moving forward, it is recommended that future research focuses on systematic exploration of implementation process activities that integrate principles from the research literature on sensemaking, decision making, and learning processes. Such exploration may provide the groundwork for development of specific implementation strategies that are theoretically grounded and provide a revised understanding of how successful intervention adoption processes work.
National Research Council Staff; Space Studies Board; Division on Engineering and Physical Sciences; National Research Council; National Academy of Sciences
... from Planetary Satellites and Small Solar System Bodies Framework for Decision Making Task Group on Sample Return from Small Solar System Bodies Space Studies Board Commission on Physical Sciences, Mathematics, and Applications National Research Council NATIONAL ACADEMY PRESS Washington, D.C. 1998 i Copyrightthe true use are Please breaks...
Ricci, Paolo F; Cox, Louis A; MacDonald, Thomas R
Fundamental principles of precaution are legal maxims that ask for preventive actions, perhaps as contingent interim measures while relevant information about causality and harm remains unavailable, to minimize the societal impact of potentially severe or irreversible outcomes. Such principles do not explain how to make choices or how to identify what is protective when incomplete and inconsistent scientific evidence of causation characterizes the potential hazards. Rather, they entrust lower jurisdictions, such as agencies or authorities, to make current decisions while recognizing that future information can contradict the scientific basis that supported the initial decision. After reviewing and synthesizing national and international legal aspects of precautionary principles, this paper addresses the key question: How can society manage potentially severe, irreversible or serious environmental outcomes when variability, uncertainty, and limited causal knowledge characterize their decision-making? A decision-analytic solution is outlined that focuses on risky decisions and accounts for prior states of information and scientific beliefs that can be updated as subsequent information becomes available. As a practical and established approach to causal reasoning and decision-making under risk, inherent to precautionary decision-making, these (Bayesian) methods help decision-makers and stakeholders because they formally account for probabilistic outcomes, new information, and are consistent and replicable. Rational choice of an action from among various alternatives--defined as a choice that makes preferred consequences more likely--requires accounting for costs, benefits and the change in risks associated with each candidate action. Decisions under any form of the precautionary principle reviewed must account for the contingent nature of scientific information, creating a link to the decision-analytic principle of expected value of information (VOI), to show the
Garnett, Kenisha; Cooper, Tim; Longhurst, Philip; Jude, Simon; Tyrrel, Sean
The technical expertise that politicians relied on in the past to produce cost-effective and environmentally sound solutions no longer provides sufficient justification to approve waste facilities. Local authorities need to find more effective ways to involve stakeholders and communities in decision-making since public acceptance of municipal waste facilities is integral to delivering effective waste strategies. This paper presents findings from a research project that explored attitudes towards greater levels of public involvement in UK waste management decision-making. The study addressed questions of perception, interests, the decision context, the means of engagement and the necessary resources and capacity for adopting a participatory decision process. Adopting a mixed methods approach, the research produced an empirical framework for negotiating the mode and level of public involvement in waste management decision-making. The framework captures and builds on theories of public involvement and the experiences of practitioners, and offers guidance for integrating analysis and deliberation with public groups in different waste management decision contexts. Principles in the framework operate on the premise that the decision about 'more' and 'better' forms of public involvement can be negotiated, based on the nature of the waste problem and wider social context of decision-making. The collection of opinions from the wide range of stakeholders involved in the study has produced new insights for the design of public engagement processes that are context-dependent and 'fit-for-purpose'; these suggest a need for greater inclusivity in the case of contentious technologies and high levels of uncertainty regarding decision outcomes. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
Magid, Molly; McIlvennan, Colleen K; Jones, Jaqueline; Nowels, Carolyn T; Allen, Larry A; Thompson, Jocelyn S; Matlock, Dan
Cognitive biases are psychological influences, which cause humans to make decisions, which do not seemingly maximize utility. For people with heart failure, the left ventricular assist device (LVAD) is a surgically implantable device with complex tradeoffs. As such, it represents an excellent model within which to explore cognitive bias in a real-world decision. We conducted a framework analysis to examine for evidence of cognitive bias among people deciding whether or not to get an LVAD. The aim of this study was to explore the influence of cognitive bias on the LVAD decision-making process. We analyzed previously conducted interviews of patients who had either accepted or declined an LVAD using a deductive, predetermined framework of cognitive biases. We coded and analyzed the interviews using an inductive-deductive framework approach, which also allowed for other themes to emerge. We interviewed a total of 22 heart failure patients who had gone through destination therapy LVAD decision making (15 who had accepted the LVAD and 7 who had declined). All patients appeared influenced by state dependence, where both groups described high current state of suffering, but the groups differed in whether they believed LVAD would relieve suffering or not. We found evidence of cognitive bias that appeared to influence decision making in both patient groups, but groups differed in terms of which cognitive biases were present. Among accepters, we found evidence of anchoring bias, availability bias, optimism bias, and affective forecasting. Among decliners, we found evidence of errors in affective forecasting. Medical decision making is often a complicated and multifaceted process that includes cognitive bias as well as other influences. It is important for clinicians to recognize that patients can be affected by cognitive bias, so they can better understand and improve the decision-making process to ensure that patients are fully informed. Published by Elsevier Inc.
Artificial intelligence (AI) systems depend heavily upon the ability to make decisions. Decisions require knowledge, yet there is no knowledge-based theory of decision making. To the extent that AI uses a theory of decision-making it adopts components of the traditional statistical view in which choices are made by maximizing some function of the probabilities of decision options. A knowledge-based scheme for reasoning about uncertainty is proposed, which extends the traditional framework but is compatible with it
Smith, Grace L; Smith, Benjamin D
In older patients, radiation treatment plays a vital role in curative and palliative cancer therapy. Radiation treatment recommendations should be informed by a comprehensive, personalized risk-benefit assessment that evaluates treatment efficacy and toxicity. We review several clinical factors that distinctly affect efficacy and toxicity of radiation treatment in older patients. First, locoregional tumor behavior may be more indolent in older patients for some disease sites but more aggressive for other sites. Assessment of expected locoregional relapse risk informs the magnitude and timeframe of expected radiation treatment benefits. Second, assessment of the competing cancer versus noncancer mortality and morbidity risks contextualizes cancer treatment priorities holistically within patients' entire spectrum and time course of health needs. Third, assessment of functional reserve helps predict patients' acute treatment tolerance, differentiating those patients who are unlikely to benefit from treatment or who are at high risk for treatment complications. Potential radiation treatment options include immediate curative treatment, delayed curative treatment, and no treatment, with additional consideration given to altered radiation target, dose, or sequencing with chemotherapy and/or surgery. Finally, when cure is not feasible, palliative radiation therapy remains valuable for managing symptoms and achieving meaningful quality-of-life improvements. Our proposed decision-making framework integrates these factors to help radiation oncologists formulate strategic treatment recommendations within a multidisciplinary context. Future research is still needed to identify how advanced technologies can be judiciously applied in curative and palliative settings to enhance risk-benefit profiles of radiation treatment in older patients and more accurately quantify treatment efficacy in this group. © 2014 by American Society of Clinical Oncology.
Nazari, R.; Miller, K.; Hurler, C.
Coastal and inland flooding has been a problematic occurrence, specifically over the past century. Global warming has caused an 8 inch sea level rise since 1990, which made the coastal flood zone wider, deeper and more damaging. Additionally, riverine flooding is extremely damaging to the country's substructure and economy as well which causes river banks to overflow, inundating low-lying areas. New Jersey and New York are two areas at severe risk for flood hazard, sea level rise, land depletion and economic loss which are the main study area of this work. A decision making framework is being built to help mitigate the impacts of the environmental and economical dangers of storm surges, sea level rise, flashfloods and inland flooding. With vigorous research and the use of innovative hydrologic modeling software, this tool can be built and utilized to form resiliency for coastal communities. This will allow the individuals living in a coastal community to understand the details of climatic hazards in their area and risks associated to their communities. This tool will also suggest the best solution for the problem each community faces. Atlantic City and New York City has been modeled and compared using potential storm events and the outcomes have been analyzed. The tool offers all the possible solutions for the type of flooding that occurs. Green infrastructure such as rain gardens, detention basins and green roofs can be used as small scale solutions. Greater scale solutions such as removable flood barriers, concrete walls and height adjustable walls will also be displayed if that poses as the best solution. The results and benefits from the simulation and modeling techniques, will allow coastal communities to choose the most appropriate method for building a long lasting and sustainable resilience plan in the future.
Full Text Available Abstract Background Shared decision making (SDM is fundamental to informed consent and client-centered care. So far, SDM frameworks have been limited to the client-physician dyad, even though care is increasingly delivered by interprofessional (IP teams. IP collaboration is especially essential in home care, one of health care's most rapidly growing areas. This study will assess whether it is possible to practice SDM in IP home care. Methods/Design We will use a qualitative case study and a quantitative survey to capture the macro, meso and micro levels of stakeholders in home care. The case study will follow the knowledge-to-action process framework to evaluate the work of an IP home care team at a Quebec City health center. Sources of data will include one-on-one interviews with patients, family caregivers or surrogates and significant others, and administrators; a focus group of home care health professionals; organizational documents; and government policies and standards. The interview guide for the interviews and the focus group will explore current practices and clinical problems addressed in home care; factors that could influence the implementation of the proposed IP approach to SDM; the face and content validity of the approach; and interventions to facilitate the implementation and evaluation of the approach. The survey will ask 300 health professionals working in home care at the health center to complete a questionnaire based on the Theory of Planned Behaviour that measures their intentions to engage in an IP approach to SDM. We will use our analysis of the individual interviews, the focus group and the survey to elaborate a toolkit for implementing an IP approach to SDM in home care. Finally, we will conduct a pilot study in Alberta to assess the transferability of our findings. Discussion We believe that developing tools to implement IP SDM in home care is essential to strengthening Canada's healthcare system and furthering
Alden, Dana L; Friend, John; Schapira, Marilyn; Stiggelbout, Anne
Patient decision aids are known to positively impact outcomes critical to shared decision making (SDM), such as gist knowledge and decision preparedness. However, research on the potential improvement of these and other important outcomes through cultural targeting and tailoring of decision aids is very limited. This is the case despite extensive evidence supporting use of cultural targeting and tailoring to improve the effectiveness of health communications. Building on prominent psychological theory, we propose a two-stage framework incorporating cultural concepts into the design process for screening and treatment decision aids. The first phase recommends use of cultural constructs, such as collectivism and individualism, to differentially target patients whose cultures are known to vary on these dimensions. Decision aid targeting is operationalized through use of symbols and values that appeal to members of the given culture. Content dimensions within decision aids that appear particularly appropriate for targeting include surface level visual characteristics, language, beliefs, attitudes and values. The second phase of the framework is based on evidence that individuals vary in terms of how strongly cultural norms influence their approach to problem solving and decision making. In particular, the framework hypothesizes that differences in terms of access to cultural mindsets (e.g., access to interdependent versus independent self) can be measured up front and used to tailor decision aids. Thus, the second phase in the framework emphasizes the importance of not only targeting decision aid content, but also tailoring the information to the individual based on measurement of how strongly he/she is connected to dominant cultural mindsets. Overall, the framework provides a theory-based guide for researchers and practitioners who are interested in using cultural targeting and tailoring to develop and test decision aids that move beyond a "one-size fits all" approach
Zee, van der D.J.; Vorst, van der J.G.A.J.
Owing to its inherent modeling flexibility, simulation is often regarded as the proper means for supporting decision making on supply chain design. The ultimate success of supply chain simulation, however, is determined by a combination of the analyst's skills, the chain members' involvement, and
Catacutan, Maria Rosario G.; de Guzman, Allan B.
Ethical decision-making in school administration has received considerable attention in educational leadership literature. However, most research has focused on principals working in secondary school settings while studies that explore ethical reasoning processes of academic deans have been significantly few. This qualitative study aims to…
McCready, John W.
The purpose of this study was to examine use of decision-making tools and feedback in strategic planning in order to develop a rigorous process that would promote the efficiency of strategic planning for acquisitions in the United States Coast Guard (USCG). Strategic planning is critical to agencies such as the USCG in order to be effective…
van der Zee, D.J.; van der Vorst, J.G.A.J.
Owing to its inherent modeling flexibility, simulation is often regarded as the proper means for supporting decision making on supply chain design. The ultimate success of supply chain simulation, however, is determined by a combination of the analyst's skills, the chain members' involvement, and
Full Text Available T-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight...
Gilabert-Perramon, Antoni; Torrent-Farnell, Josep; Catalan, Arancha; Prat, Alba; Fontanet, Manel; Puig-Peiró, Ruth; Merino-Montero, Sandra; Khoury, Hanane; Goetghebeur, Mireille M; Badia, Xavier
The aim of this study was to adapt and assess the value of a Multi-Criteria Decision Analysis (MCDA) framework (EVIDEM) for the evaluation of Orphan drugs in Catalonia (Catalan Health Service). The standard evaluation and decision-making procedures of CatSalut were compared with the EVIDEM methodology and contents. The EVIDEM framework was adapted to the Catalan context, focusing on the evaluation of Orphan drugs (PASFTAC program), during a Workshop with sixteen PASFTAC members. The criteria weighting was done using two different techniques (nonhierarchical and hierarchical). Reliability was assessed by re-test. The EVIDEM framework and methodology was found useful and feasible for Orphan drugs evaluation and decision making in Catalonia. All the criteria considered for the development of the CatSalut Technical Reports and decision making were considered in the framework. Nevertheless, the framework could improve the reporting of some of these criteria (i.e., "unmet needs" or "nonmedical costs"). Some Contextual criteria were removed (i.e., "Mandate and scope of healthcare system", "Environmental impact") or adapted ("population priorities and access") for CatSalut purposes. Independently of the weighting technique considered, the most important evaluation criteria identified for orphan drugs were: "disease severity", "unmet needs" and "comparative effectiveness", while the "size of the population" had the lowest relevance for decision making. Test-retest analysis showed weight consistency among techniques, supporting reliability overtime. MCDA (EVIDEM framework) could be a useful tool to complement the current evaluation methods of CatSalut, contributing to standardization and pragmatism, providing a method to tackle ethical dilemmas and facilitating discussions related to decision making.
Wieland, Patricia; Almeida, Ivan Pedro Salati de
The scientific considerations upon which the nuclear regulations are based provide objective criteria for decisions on nuclear safety matters. However, the decisions that a regulatory agency takes go far beyond granting or not an operating license based on assessment of compliance. It may involve decisions about hiring experts or research, appeals, responses to other government agencies, international agreements, etc.. In all cases, top management of the regulatory agency should hear and decide the best balance between the benefits of regulatory action and undue risks and other associated impacts that may arise, including issues of credibility and reputation. The establishment of a decision framework based on well established principles and criteria ensures performance stability and consistency, preventing individual subjectivity. This article analyzes the challenges to the decision-making by regulatory agencies to ensure coherence and consistency in decisions, even in situations where there is uncertainty, lack of reliable information and even divergence of opinions among experts. The article explores the basic elements for a framework for regulatory decision-making. (author)
... page: //medlineplus.gov/ency/patientinstructions/000877.htm Shared decision making To use the sharing features on this page, ... treatment you both support. When to use Shared Decision Making Shared decision making is often used when you ...
Young, Diana L.; Goodie, Adam S.; Hall, Daniel B.; Wu, Eric
The current research examines the effects of time pressure on decision behavior based on a prospect theory framework. In Experiments 1 and 2, participants estimated certainty equivalents for binary gains-only bets in the presence or absence of time pressure. In Experiment 3, participants assessed comparable bets that were framed as losses. Data were modeled to establish psychological mechanisms underlying decision behavior. In Experiments 1 and 2, time pressure led to increased risk attractiveness, but no significant differences emerged in either probability discriminability or outcome utility. In Experiment 3, time pressure reduced probability discriminability, which was coupled with severe risk-seeking behavior for both conditions in the domain of losses. No significant effects of control over outcomes were observed. Results provide qualified support for theories that suggest increased risk-seeking for gains under time pressure. PMID:22711977
Young, Diana L; Goodie, Adam S; Hall, Daniel B; Wu, Eric
The current research examines the effects of time pressure on decision behavior based on a prospect theory framework. In Experiments 1 and 2, participants estimated certainty equivalents for binary gains-only bets in the presence or absence of time pressure. In Experiment 3, participants assessed comparable bets that were framed as losses. Data were modeled to establish psychological mechanisms underlying decision behavior. In Experiments 1 and 2, time pressure led to increased risk attractiveness, but no significant differences emerged in either probability discriminability or outcome utility. In Experiment 3, time pressure reduced probability discriminability, which was coupled with severe risk-seeking behavior for both conditions in the domain of losses. No significant effects of control over outcomes were observed. Results provide qualified support for theories that suggest increased risk-seeking for gains under time pressure.
The digital world of the 21st century is increasingly the world of automatic decision making. In such a world, an ever larger number of tasks are relegated to computers which gather and process data as well as suggest or make decisions silently and with little supervision. This situation has been...... made possible by a transfer of a staggering portion of our daily lives from the offline world to the Internet. It is a truism that automation would be impossible without our willing participation on the Internet. We freely take part in social networks, post on blogs, and send our emails. On the other...... hand, it is equally true that we are increasingly monitored by the state, by profit‐maximizing corporations and by our fellow citizens and that these methods of monitoring are becoming smarter. Vast amounts of data which have become available and which we contribute, form what we today call “big data...
The study of judgment and decision making entails three interrelated forms of research: (1) normative analysis, identifying the best courses of action, given decision makers' values; (2) descriptive studies, examining actual behavior in terms comparable to the normative analyses; and (3) prescriptive interventions, helping individuals to make better choices, bridging the gap between the normative ideal and the descriptive reality. The research is grounded in analytical foundations shared by economics, psychology, philosophy, and management science. Those foundations provide a framework for accommodating affective and social factors that shape and complement the cognitive processes of decision making. The decision sciences have grown through applications requiring collaboration with subject matter experts, familiar with the substance of the choices and the opportunities for interventions. Over the past half century, the field has shifted its emphasis from predicting choices, which can be successful without theoretical insight, to understanding the processes shaping them. Those processes are often revealed through biases that suggest non-normative processes. The practical importance of these biases depends on the sensitivity of specific decisions and the support that individuals have in making them. As a result, the field offers no simple summary of individuals' competence as decision makers, but a suite of theories and methods suited to capturing these sensitivities. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
The role of decision-making in learning performance has been an occasional topic in the research literature in science education, but rarely has it been a central issue in the field. Nonetheless, recent studies regarding the topic in several fields other than education, such as cognitive neuroscience and social choice theory, indicate the fundamental importance(s) of the topic. This study focuses on a possible role of decision-making in science learning. Initially the study was designed to probe the decision-making ability of elementary school children with a modified version of the Iowa Gambling Task (IGT). The experiment involved six Montessori 3rd and 4th grade students as the experimental group and eight public school 3rd and 4th grade students as the control group. The result of the modified IGT revealed a tendency in choice trajectories favoring children at the Montessori school. However, the probabilistic value went below the statistically significant level set by the U test. A further study focused on the impact of better decision-making ability revealed in the first experiment on performances with a science learning module that emphasized collective reasoning. The instruction was based on a set of worksheets with multiple choices on which students were asked to make predictions with and to provide supportive arguments regarding outcomes of experiments introduced in the worksheet. Then the whole class was involved with a real experiment to see which choice was correct. The findings in the study indicated that the Montessori students often obtained higher scores than non-Montessori students in making decision with a tendency of consistency in terms of their choices of the alternatives on the worksheets. The findings of the experiments were supported by a correlational analysis that was performed at the end of study. Although no statistically significant correlations were found, there was a tendency for positively associative shifts between the scores of the
Reyna, Valerie F.; Nelson, Wendy L.; Han, Paul K.; Pignone, Michael P.
We review decision-making along the cancer continuum in the contemporary context of informed and shared decision making, in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cogni...
The fundamental objective of all nuclear safety regulatory bodies is to ensure that nuclear utilities operate their plants at all times in an acceptably safe manner. In meeting this objective, the regulatory body should strive to ensure that its regulatory decisions are technically sound, consistent from case to case, and timely. In addition, the regulator must be aware that its decisions and the circumstances surrounding those decisions can affect how its stakeholders, such as government policy makers, the industry it regulates, and the public, view it as an effective and credible regulator. In order to maintain the confidence of those stakeholders, the regulator should make sure that its decisions are transparent, have a clear basis in law and regulations, and are seen by impartial observers to be fair to all parties. Based on the work of a Nuclear Energy Agency (NEA) expert group, this report discusses some of the basic principles and criteria that a regulatory body should consider in making decisions and describes the elements of an integrated framework for regulatory decision making. (author)
Stiggelbout, A.M.; Vries, M. de; Scherer, L.; Keren, G.; Wu, G.
This chapter presents an overview of the field of medical decision making. It distinguishes the levels of decision making seen in health-care practice and shows how research in judgment and decision making support or improve decision making. Most of the research has been done at the micro level,
Hamlin, Robert P
This article examines the processes that occur within the consumer's head as they make a choice between alternative market offers at a low level of involvement. It discusses recent research that indicates that the Theory of Planned Behaviour and its derivatives have restricted validity as a predictor of food consumers' evaluations and purchase patterns. This has significant implications as Planned Behaviour is the dominant paradigm within food industry research. The article demonstrates that Planned Behaviour has acquired this status more by default than by proven merit. The specific reasons for the failure of Planned Behaviour are discussed. An alternative paradigm, Cue-Based Decision Making is developed from an existing literature, and is proposed as a basis for increasing our understanding of the uninvolved food consumer in order to predict and influence their behaviour. 2010 Elsevier Ltd. All rights reserved.
Rashidizadeh-Kermani, Homa; Najafi, Hamid Reza; Anvari-Moghaddam, Amjad
An electric vehicle (EV) aggregator, as an agent between power producers and EV owners, participates in the future and pool market to supply EVs’ requirement. Because of uncertain nature of pool prices and EVs’ behavior, this paper proposed a two stage scenario-based model to obtain optimal decis...... electricity markets, a sensitivity analysis over risk factor is performed. The numerical results demonstrate that with the application of the proposed model, the aggregator can supply EVs with lower purchases from markets....... decision making of an EV aggregator. To deal with mentioned uncertainties, the aggregator’s risk aversion is applied using conditional value at risk (CVaR) method in the proposed model. The proposed two stage risk-constrained decision making problem is applied to maximize EV aggregator’s expected profit...... in an uncertain environment. The aggregator can participate in the future and pool market to buy required energy of EVs and offer optimal charge/discharge prices to the EV owners. In this model, in order to assess the effects of EVs owners’ reaction to the aggregator’s offered prices on the purchases from...
Maria L. Alva
Full Text Available This paper selectively reviews the economic research on individual (i.e., diabetes prevention programs and financial rewards for weight loss and population-wide based diabetes prevention interventions (such as food taxes, nutritional labeling, and worksite wellness programs that demonstrate a direct reduction in diabetes incidence or improvements in diabetes risk factors such as weight, glucose or glycated hemoglobin. The paper suggests a framework to guide decision makers on how to use the available evidence to determine the optimal allocation of resources across population-wide and individual-based interventions. This framework should also assist in the discussion of what parameters are needed from research to inform decision-making on what might be the optimal mix of strategies to reduce diabetes prevalence.
Alva, Maria L
This paper selectively reviews the economic research on individual (i.e., diabetes prevention programs and financial rewards for weight loss) and population-wide based diabetes prevention interventions (such as food taxes, nutritional labeling, and worksite wellness programs) that demonstrate a direct reduction in diabetes incidence or improvements in diabetes risk factors such as weight, glucose or glycated hemoglobin. The paper suggests a framework to guide decision makers on how to use the available evidence to determine the optimal allocation of resources across population-wide and individual-based interventions. This framework should also assist in the discussion of what parameters are needed from research to inform decision-making on what might be the optimal mix of strategies to reduce diabetes prevalence.
Teeguarden, Justin G; Tan, Yu-Mei; Edwards, Stephen W; Leonard, Jeremy A; Anderson, Kim A; Corley, Richard A; Kile, Molly L; Simonich, Staci M; Stone, David; Tanguay, Robert L; Waters, Katrina M; Harper, Stacey L; Williams, David E
Driven by major scientific advances in analytical methods, biomonitoring, computation, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the "systems approaches" used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) concept in the toxicological sciences. Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more meaningful integration of exposure assessment and hazard identification. Together, the two frameworks form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making.
There is general international agreement, as reflected in various IAEA Safety Standards on nuclear reactor design and operation, that both deterministic and probabilistic analyses contribute to reactor safety by providing insights, perspective, comprehension and balance. Accordingly, the integration of deterministic and probabilistic analyses is increasing to support design, safety evaluation and operations. Additionally, application of these approaches to physical security is now being considered by several Member States. Deterministic and probabilistic analyses yield outputs that are complementary to each other. There is thus a need to use a structured framework for consideration of deterministic and probabilistic techniques and findings. In this process, it is appropriate to encourage a balance between deterministic approaches, probabilistic analyses and other factors (see Section 3) in order to achieve an integrated decision making process that serves in an optimal fashion to ensure nuclear reactor safety. This report presents such a framework - a framework that is termed 'integrated risk informed decision making' (IRIDM). While the details of IRIDM methods may change with better understanding of the subject, the framework presented in this report is expected to apply for the foreseeable future. IRIDM depends on the integration of a wide variety of information, insights and perspectives, as well as the commitment of designers, operators and regulatory authorities to use risk information in their decisions. This report thus focuses on key IRIDM aspects, as well considerations that bear on their application which should be taken into account in order to arrive at sound risk informed decisions. This report is intended to be in harmony with the IAEA Safety Standards and various INSAG reports relating to safety assessment and verification, and seeks to convey an appropriate approach to enhance nuclear reactor safety
There is general international agreement, as reflected in various IAEA Safety Standards on nuclear reactor design and operation, that both deterministic and probabilistic analyses contribute to reactor safety by providing insights, perspective, comprehension and balance. Accordingly, the integration of deterministic and probabilistic analyses is increasing to support design, safety evaluation and operations. Additionally, application of these approaches to physical security is now being considered by several Member States. Deterministic and probabilistic analyses yield outputs that are complementary to each other. There is thus a need to use a structured framework for consideration of deterministic and probabilistic techniques and findings. In this process, it is appropriate to encourage a balance between deterministic approaches, probabilistic analyses and other factors (see Section 3) in order to achieve an integrated decision making process that serves in an optimal fashion to ensure nuclear reactor safety. This report presents such a framework - a framework that is termed 'integrated risk informed decision making' (IRIDM). While the details of IRIDM methods may change with better understanding of the subject, the framework presented in this report is expected to apply for the foreseeable future. IRIDM depends on the integration of a wide variety of information, insights and perspectives, as well as the commitment of designers, operators and regulatory authorities ers, operators and regulatory authorities to use risk information in their decisions. This report thus focuses on key IRIDM aspects, as well considerations that bear on their application which should be taken into account in order to arrive at sound risk informed decisions. This report is intended to be in harmony with the IAEA Safety Standards and various INSAG reports relating to safety assessment and verification, and seeks to convey an appropriate approach to enhance nuclear reactor safety
Bess, Kimberly D; Perkins, Douglas D; Cooper, Daniel G; Jones, Diana L
This paper explores the role of member participation in decision-making (PDM) from an organizational learning (OL) perspective. Community-based organizations (CBOs) serve as mediators between the individual and the local community, often providing the means for community member participation and benefiting organizationally from members' input. Community psychologists have recognized these benefits; however, the field has paid less attention to the role participation plays in increasing CBOs' capacity to meet community needs. We present a framework for exploring how CBO contextual factors influence the use of participatory decision-making structures and practices, and how these affect OL. We then use the framework to examine PDM in qualitative case study analysis of four CBOs: a youth development organization, a faith-based social action coalition, a low-income neighborhood organization, and a large human service agency. We found that organizational form, energy, and culture each had a differential impact on participation in decision making within CBOs. We highlight how OL is constrained in CBOs and document how civic aims and voluntary membership enhanced participation and learning.
Laidsaar-Powell, Rebekah; Butow, Phyllis; Charles, Cathy; Gafni, Amiram; Entwistle, Vikki; Epstein, Ronald; Juraskova, Ilona
Family caregivers are regularly involved in cancer consultations and treatment decision-making (DM). Yet there is limited conceptual description of caregiver influence/involvement in DM. To address this, an empirically-grounded conceptual framework of triadic DM (TRIO Framework) and corresponding graphical aid (TRIO Triangle) were developed. Jabareen's model for conceptual framework development informed multiple phases of development/validation, incorporation of empirical research and theory, and iterative revisions by an expert advisory group. Findings coalesced into six empirically-grounded conceptual insights: i) Caregiver influence over a decision is variable amongst different groups; ii) Caregiver influence is variable within the one triad over time; iii) Caregivers are involved in various ways in the wider DM process; iv) DM is not only amongst three, but can occur among wider social networks; v) Many factors may affect the form and extent of caregiver involvement in DM; vi) Caregiver influence over, and involvement in, DM is linked to their everyday involvement in illness care/management. The TRIO Framework/Triangle may serve as a useful guide for future empirical, ethical and/or theoretical work. This Framework can deepen clinicians's and researcher's understanding of the diverse and varying scope of caregiver involvement and influence in DM. Copyright © 2017 Elsevier B.V. All rights reserved.
Verdonschot, E.H.A.M.; Liem, S.L.; Palenstein Helderman, W.H. van
By conducting an oral examination, during radiographic examination and in treatment planning procedures dentists make numerous decisions. A dentist will be required to make his decisions explicit. Decision trees and decision analyses may play an important role. In a decision analysis, the
Sokolova, Marina V
The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to mod...
Van den Bulcke, Bo; Piers, Ruth; Jensen, Hanne Irene; Malmgren, Johan; Metaxa, Victoria; Reyners, Anna K; Darmon, Michael; Rusinova, Katerina; Talmor, Daniel; Meert, Anne-Pascale; Cancelliere, Laura; Zubek, Làszló; Maia, Paolo; Michalsen, Andrej; Decruyenaere, Johan; Kompanje, Erwin J O; Azoulay, Elie; Meganck, Reitske; Van de Sompel, Ariëlla; Vansteelandt, Stijn; Vlerick, Peter; Vanheule, Stijn; Benoit, Dominique D
Literature depicts differences in ethical decision-making (EDM) between countries and intensive care units (ICU). To better conceptualise EDM climate in the ICU and to validate a tool to assess EDM climates. Using a modified Delphi method, we built a theoretical framework and a self-assessment instrument consisting of 35 statements. This Ethical Decision-Making Climate Questionnaire (EDMCQ) was developed to capture three EDM domains in healthcare: interdisciplinary collaboration and communication; leadership by physicians; and ethical environment. This instrument was subsequently validated among clinicians working in 68 adult ICUs in 13 European countries and the USA. Exploratory and confirmatory factor analysis was used to determine the structure of the EDM climate as perceived by clinicians. Measurement invariance was tested to make sure that variables used in the analysis were comparable constructs across different groups. Of 3610 nurses and 1137 physicians providing ICU bedside care, 2275 (63.1%) and 717 (62.9%) participated respectively. Statistical analyses revealed that a shortened 32-item version of the EDMCQ scale provides a factorial valid measurement of seven facets of the extent to which clinicians perceive an EDM climate: self-reflective and empowering leadership by physicians; practice and culture of open interdisciplinary reflection; culture of not avoiding end-of-life decisions; culture of mutual respect within the interdisciplinary team; active involvement of nurses in end-of-life care and decision-making; active decision-making by physicians; and practice and culture of ethical awareness. Measurement invariance of the EDMCQ across occupational groups was shown, reflecting that nurses and physicians interpret the EDMCQ items in a similar manner. The 32-item version of the EDMCQ might enrich the EDM climate measurement, clinicians' behaviour and the performance of healthcare organisations. This instrument offers opportunities to develop tailored ICU
Malekpour, Shirin; Langeveld, Jeroen; Letema, Sammy; Clemens, François; van Lier, Jules B
This paper introduces the probabilistic evaluation framework, to enable transparent and objective decision-making in technology selection for sanitation solutions in low-income countries. The probabilistic framework recognizes the often poor quality of the available data for evaluations. Within this framework, the evaluations will be done based on the probabilities that the expected outcomes occur in practice, considering the uncertainties in evaluation parameters. Consequently, the outcome of evaluations will not be single point estimates; but there exists a range of possible outcomes. A first trial application of this framework for evaluation of sanitation options in the Nyalenda settlement in Kisumu, Kenya, showed how the range of values that an evaluation parameter may obtain in practice would influence the evaluation outcomes. In addition, as the probabilistic evaluation requires various site-specific data, sensitivity analysis was performed to determine the influence of each data set quality on the evaluation outcomes. Based on that, data collection activities could be (re)directed, in a trade-off between the required investments in those activities and the resolution of the decisions that are to be made. Copyright © 2013 Elsevier Ltd. All rights reserved.
Fourie, Cornelius Jacobus
Full Text Available In this paper, a life cycle costing (LCC framework for effective maintenance management is investigated and developed for use in a railway rolling stock environment. The framework consists of combining typical mission-critical components together with their failure and maintenance history. All costs related to the operation and maintenance of these components throughout their life cycle are also determined. The next step involves considering different scenarios under which the components can be used in relation to operations, maintenance, and replacements. The decision about which scenario to take is based on the one with the most favourable net present value after life cycle costing is performed over a specified period of time. A typical railway rolling-stock maintenance organisation in South Africa was used to highlight the practical implications of such a framework and how the company could make informed and appropriate decisions. The conclusion of this study is that such a framework is useful, and that it can be used as a basis for estimating LCC across a spectrum of critical assets found in the rolling stock environment.
Mendoza P. Sara
Full Text Available Objetivo: Realizar un análisis del Modelo de Toma de Decisiones en Salud de Ottawa, planteado por la enfermera canadiense Annette M. O’Connors, como una estrategia para resolver conflictos decisionales en salud. Se plantea su utilidad en la intervención que hace enfermería en la comunidad y la familia. Se concluye que el conflicto decisional surge frente a la toma de decisiones y los profesionales de la salud deben adoptar un rol protagónico en él, desarrollando habilidades para apoyar a sus pacientes o usuarios en los conflictos que deben enfrentar, teniendo el Modelo de toma de decisiones de Ottawa como un referencial útil para ayudarles, especialmente a las mujeres, a asumir un rol más activo en las decisiones que afectan su propia salud.This article analyses the Ottawa Decision-support Framework proponed by the Canadian nurse Annette M. O´Connors to help strategic decision-making in Health and its usefulness in the nurses´intervention in the family and the community. When conflicting opinions have to be considered before making a decision, the nursing professionals should assume a protagonist part. Therefore they have to develop abilities to support their patients when they face conflicts. The Ottawa Decision Support Framework is a very useful reference to help people, especially women, when they should assume a more active part in decisions that affect their health.
A sound approach to rational decision making requires a decision maker to establish decision objectives, identify alternatives, and evaluate those...often violate the axioms of rationality when making decisions under uncertainty. The systematic description of such observations may lead to the...which leads to “anchoring” on the initial value. The fact that individuals have been shown to deviate from rationality when making decisions
Seger, Carol A; Peterson, Erik J.
We rarely, if ever, repeatedly encounter exactly the same situation. This makes generalization crucial for real world decision making. We argue that categorization, the study of generalizable representations, is a type of decision making, and that categorization learning research would benefit from approaches developed to study the neuroscience of decision making. Similarly, methods developed to examine generalization and learning within the field of categorization may enhance decision making research. We first discuss perceptual information processing and integration, with an emphasis on accumulator models. We then examine learning the value of different decision making choices via experience, emphasizing reinforcement learning modeling approaches. Next we discuss how value is combined with other factors in decision making, emphasizing the effects of uncertainty. Finally, we describe how a final decision is selected via thresholding processes implemented by the basal ganglia and related regions. We also consider how memory related functions in the hippocampus may be integrated with decision making mechanisms and contribute to categorization. PMID:23548891
Palazzo, Salvatore; Filice, Aldo; Mastroianni, Candida; Biamonte, Rosalbino; Conforti, Serafino; Liguori, Virginia; Turano, Salvatore; De Simone, Rosanna; Rovito, Antonio; Manfredi, Caterina; Minardi, Stefano; Vilardo, Emmanuelle; Loizzo, Monica; Oriolo, Carmela
Clinical decision making in oncology is based so far on the evidence of efficacy from high-quality clinical research. Data collection and analysis from experimental studies provide valuable insight into response rates and progression-free or overall survival. Data processing generates valuable information for medical professionals involved in cancer patient care, enabling them to make objective and unbiased choices. The increased attention of many scientific associations toward a more rational resource consumption in clinical decision making is mirrored in the Choosing Wisely campaign against the overuse or misuse of exams and procedures of little or no benefit for the patient. This cultural movement has been actively promoting care solutions based on the concept of "value". As a result, the value-based decision-making process for cancer care should not be dissociated from economic sustainability and from ethics of the affordability, also given the growing average cost of the most recent cancer drugs. In support of this orientation, the National Comprehensive Cancer Network (NCCN) has developed innovative and "complex" guidelines based on values, defined as "evidence blocks", with the aim of assisting the medical community in making overall sustainable choices.
Horita, Flávio E.A.; Albuquerque, João Porto de; Marchezini, Victor; Mendiondo, Eduardo M.
With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN +, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that t...
Isnawati, Ida; Saukah, Ali
This study investigated teachers' grading decision making, focusing on their beliefs underlying their grading decision making, their grading practices and assessment types, and factors they considered in grading decision making. Two teachers from two junior high schools applying different curriculum policies in grade reporting in Indonesian…
Leonardo Yuji Tamura
Full Text Available Quantum Electronics was a Brazilian startup in the 1990's that was acquired by an American equity fund in 2012. They are currently the largest manufacturer of vehicle tracking and infotainment systems. The company was founded by three college friends, who are currently executives at the company: Camilo Santos, Pedro Barbosa and Luana Correa. Edward Hutter was sent by the equity fund to take over the company’s finances, but is having trouble making organizational decisions with his colleagues. As a consultant, I was called to help them improve their decision making process and project prioritization. I adapted and deployed our firm's methodology, but, in the end, its adequacy is shown to be very much in question. The author of this case study intends to explore how actual organizational decisions rely on different decision models and their assumptions, .as well as demonstrate that a decision model is neither absolutely good nor bad as its quality is context dependent.
Schildkamp, Kim; Lai, M.K.; Schildkamp, K.; Lai, M.K.; Earl, L.
In this chapter, the results of all the studies presented in this book are summarized. What are the lessons learned? Based on the lessons learned, we developed a data use framework. In this framework, data use is influenced by several enablers and barriers (e.g., the school organization context,
Full Text Available Stormwater drainage systems in urban areas located in arid environmental regions generally consist of storm-sewer networks and man-made ponds for the collection and disposal of runoff, respectively. Due to expansion in cities’ boundaries as a result of population growth, the capacity of existing drainage systems has been exhausted. Therefore, such systems overflow even during the smaller (than the design return period floods. At the same time, changing rainfall patterns and flash floods due to climate change are other phenomena that need appropriate attention. Consequently, the municipalities in arid environmental regions are facing challenges for effective decision-making concerning (i improvement needs for drainage networks for safe collection of stormwater, (ii selection of most feasible locations for additional ponds, and (iii evaluation of other suitable options, such as micro-tunneling. In this research, a framework has been developed to evaluate different stormwater drainage options for urban areas of arid regions. Rainfall-runoff modeling was performed with the help of Hydrological-Engineering-Centre, Hydrological-Modelling-System (HEC-HMS. To evaluate the efficacy of each option for handling a given design flood, hydraulic-modeling was performed using SewerGEMS. Meteorological and topographical data was gathered from the Municipality of Buraydah and processed to generate different inputs required for hydraulic modeling. Finally, multicriteria decision-making (MCDM was performed to evaluate all the options on the basis of four sustainability criteria, i.e., flood risk, economic viability, environmental impacts, and technical constraints. Criteria weights were established through group decision-making using the Analytic Hierarchy Process (AHP. Preference-Ranking-Organization-Method for Enrichment-Evaluation (PROMETHEE II was used for final ranking of stormwater drainage options. The proposed framework has been implemented on a case of
Full Text Available Paule Poulin,1 Lea Austen,1 Catherine M Scott,2 Michelle Poulin,1 Nadine Gall,2 Judy Seidel,3 René Lafrenière1 1Department of Surgery, 2Knowledge Management, 3Public Health Innovation and Decision Support, Alberta Health Services, Calgary, AB, Canada Purpose: Introducing new health technologies, including medical devices, into a local setting in a safe, effective, and transparent manner is a complex process, involving many disciplines and players within an organization. Decision making should be systematic, consistent, and transparent. It should involve translating and integrating scientific evidence, such as health technology assessment (HTA reports, with context-sensitive evidence to develop recommendations on whether and under what conditions a new technology will be introduced. However, the development of a program to support such decision making can require considerable time and resources. An alternative is to adapt a preexisting program to the new setting. Materials and methods: We describe a framework for adapting the Local HTA Decision Support Program, originally developed by the Department of Surgery and Surgical Services (Calgary, AB, Canada, for use by other departments. The framework consists of six steps: 1 development of a program review and adaptation manual, 2 education and readiness assessment of interested departments, 3 evaluation of the program by individual departments, 4 joint evaluation via retreats, 5 synthesis of feedback and program revision, and 6 evaluation of the adaptation process. Results: Nine departments revised the Local HTA Decision Support Program and expressed strong satisfaction with the adaptation process. Key elements for success were identified. Conclusion: Adaptation of a preexisting program may reduce duplication of effort, save resources, raise the health care providers' awareness of HTA, and foster constructive stakeholder engagement, which enhances the legitimacy of evidence
Rangel, Erica Cavalcanti; Pereira, Andre; Cavalcante, Tania Maria; Oliveira, Egléubia Andrade; Silva, Vera Luiza da Costa E
Tobacco consumption is a leading cause of various types of cancer and other tobacco-related diseases. In 2003, the World Health Assembly adopted the World Health Organization Framework Convention on Tobacco Control (WHO-FCTC), which aims to protect citizens from the health, social, environmental, and economic consequences of tobacco consumption and exposure to tobacco smoke. The Convention was to be ratified by the Member States of the WHO; in Brazil's case, ratification involved the National Congress, which held public hearings in the country's leading tobacco growing communities (municipalities). The current study analyzes this decision-making process according to the different interests, positions, and stakeholders. In methodological terms, this is a qualitative study based on document research, drawing primarily on the shorthand notes from the public hearings. We analyze the interests and arguments for and against ratification. The article shows that although preceded by intense debates, the final decision in favor of ratification was made by a limited group of government stakeholders, characterizing a decision-making process similar to a funnel.
Enrique Benjamín Franklin Fincowsky
Full Text Available People and organizations make better or get wrong as consequence of making decisions. Sometimes making decisions is just a trial and error process. Some others, decisions are good and the results profitable with a few of mistakes, most of the time because it’s considered the experience and the control of a specific field or the good intention of who makes them. Actually, all kinds of decisions bring learning. What is important is the intention, the attitude and the values considered in this process. People from different scenes face many facts and circumstances—almost always out of control—that affect the making decisions process. There is not a unique way to make decisions for all companies in many settings. The person who makes a decision should identify the problem, to solve it later using alternatives and solutions. Even though, follow all the steps it’s not easy as it seems. Looking back the conditions related to the decisions, we can mention the followings: uncertainty, risk and certainty. When people identify circumstances and facts, as well as its effects in a possible situation, they will make decisions with certainty. As long as the information decreases and it becomes ambiguous the risk becomes an important factor in the making decisions process because they are connected to probable objectives (clear or subjective (opinion judgment or intuition. To finish, uncertainty, involves people that make a decision with no or little information about circumstances or criteria with basis
Poulin, Paule; Austen, Lea; Scott, Catherine M; Poulin, Michelle; Gall, Nadine; Seidel, Judy; Lafrenière, René
Introducing new health technologies, including medical devices, into a local setting in a safe, effective, and transparent manner is a complex process, involving many disciplines and players within an organization. Decision making should be systematic, consistent, and transparent. It should involve translating and integrating scientific evidence, such as health technology assessment (HTA) reports, with context-sensitive evidence to develop recommendations on whether and under what conditions a new technology will be introduced. However, the development of a program to support such decision making can require considerable time and resources. An alternative is to adapt a preexisting program to the new setting. We describe a framework for adapting the Local HTA Decision Support Program, originally developed by the Department of Surgery and Surgical Services (Calgary, AB, Canada), for use by other departments. The framework consists of six steps: 1) development of a program review and adaptation manual, 2) education and readiness assessment of interested departments, 3) evaluation of the program by individual departments, 4) joint evaluation via retreats, 5) synthesis of feedback and program revision, and 6) evaluation of the adaptation process. Nine departments revised the Local HTA Decision Support Program and expressed strong satisfaction with the adaptation process. Key elements for success were identified. Adaptation of a preexisting program may reduce duplication of effort, save resources, raise the health care providers' awareness of HTA, and foster constructive stakeholder engagement, which enhances the legitimacy of evidence-informed recommendations for introducing new health technologies. We encourage others to use this framework for program adaptation and to report their experiences.
Waldeck, A Reginald; Botteman, Marc F; White, Richard E; van Hout, Ben A
The debate around value in oncology drug selection has been prominent in recent years, and several professional bodies have furthered this debate by advocating for so-called value frameworks. Herein, we provide a viewpoint on these value frameworks, emphasizing the need to consider 4 key aspects: (1) the economic underpinnings of value; (2) the importance of the perspective adopted in the valuation; (3) the importance of the difference between absolute and relative measures of risk and measuring patient preferences; and (4) the recognition of multiple quality-of-life (QoL) domains, and the aggregation and valuation of those domains, through utilities within a multicriteria decision analysis, may allow prioritization of QoL above the tallying of safety events, particularly in a value framework focusing on the individual patient. While several frameworks exist, they incorporate different attributes and-importantly-assess value from alternative perspectives, including those of patients, regulators, payers, and society. The various perspectives necessarily lead to potentially different, if not sometimes divergent, conclusions about the valuation. We show that the perspective of the valuation affects the framing of the risk/benefit question and the methodology to measure the individual patient choice, or preference, as opposed to the collective, or population, choice. We focus specifically on the American Society of Clinical Oncology (ASCO) Value Framework. We argue that its laudable intent to assist in shared clinician-patient decision making can be augmented by more formally adopting methodology underpinned by micro- and health economic concepts, as well as application of formal quantitative approaches. Our recommendations for value frameworks focusing on the individual patient, such as the ASCO Value Framework, are 3-fold: (1) ensure that stakeholders understand the importance of the adopted (economic) perspective; (2) consider using exclusively absolute measures of
Waldrop, Deborah P; Meeker, Mary Ann
This study explored the process of decision making about hospice enrollment and identified factors that influence the timing of that decision. This study employed an exploratory, descriptive, cross-sectional design and was conducted using qualitative methods. In-depth in-person semistructured interviews were conducted with 36 hospice patients and 55 caregivers after 2 weeks of hospice care. The study was guided by Janis and Mann's conflict theory model (CTM) of decision making. Qualitative data analysis involved a directed content analysis using concepts from the CTM. A model of hospice enrollment decision making is presented. Concepts from the CTM (appraisal, surveying and weighing the alternatives, deliberations, adherence) were used as an organizing framework to illustrate the dynamics. Distinct differences were found by diagnosis (cancer vs. other chronic illness, e.g., heart and lung diseases) during the pre-encounter phase or before the hospice referral but no differences emerged during the post-encounter phase. Differences in decision making by diagnosis suggest the need for research about effective means for tailored communication in end-of-life decision making by type of illness. Recognition that decision making about hospice admission varies is important for clinicians who aim to provide person-centered and family-focused care.
Basias, Nikolaus; Themistocleous, Marinos; Morabito, Vincenzo
E-banking grows rapidly due to the numerous potential benefits associated with it and integration is one of the most important challenges for e-banking success. In addressing integration issues, SOA has emerged and adopted by many banks. Nevertheless, numerous banks fail to achieve successful SOA adoption for various reasons. One of the main reasons is attributed to the lack of a methodological framework that would (a) explain factors affecting SOA adoption in e-banking and (b) define the SOA...
Full Text Available This paper investigates interactions between game theoretical strategies and social relationships in real-time decision-making and rewarding environments. We propose an experimental framework based on techniques of web-based multiplayer online games for this purpose. In our framework, multiple human players, represented as particles in a two-dimensional space of social interactions, can modify their positions and game strategies for the prisoner's dilemma in real time, and receive benefit or cost emerging from both game theoretical and social relationships with neighboring players. We report on experiments with human participants in different conditions of the payoff matrix, which reflects game structures, and the speed of each player, which reflects the ability to change her social relationship. We show that cooperative relationships emerge in real human groups regardless of experimental settings, and show their basic behavioral patterns. We further discuss relationships between behavioral characters of participants in the experiments and their psychological characters to see how their personalities can be reflected in their behavior in such a game theoretical framework, and show that a few psychological characters of participants might reflect their behavioral characters at least in part, but there were variations in these relationships between experimental groups.
Yadav, Prashant; Lydon, Patrick; Oswald, Julianna; Dicko, Modibo; Zaffran, Michel
One of the primary objectives of National Immunization Programs is to strengthen and optimize immunization supply chains so that vaccines are delivered to the end recipients effectively, efficiently and sustainably. As a result of larger investments in global health and a wider portfolio of vaccines, global agencies are recognizing the need for vaccine supply chains to operate at their most optimal levels. Integration with other supply chains is often presented as a strategy to improve efficiency. However, it remains unclear if the proposed benefits from integration of vaccine supply chains with other supply chains will outweigh the costs. This paper provides a framework for deciding where such integration offers the most significant benefits. It also cautions about the pitfalls of integration as a one size fits all strategy. It also highlights the need for systematic collection of cost and efficiency data in order to understand the value of integration and other such initiatives. Copyright © 2014 Elsevier Ltd. All rights reserved.
Gin-Rong Liu Peiwen Lu
Full Text Available We live in challenging times with a heightened sense of uncertainty and unpredictability. Climate change, with its impact on disruptive events as well as gradual trends, has been addressed in scientific studies and become increasingly important in policymaking. This rises up a great need on scientific integration and knowledge transformation. The Taiwan Integrated Research Programme on Climate Change Adaptation Technology (TaiCCAT is formed under this concern. Directing by the Ministry of Science and Technology (MOST, it carries a strong intention to explore and to conduct adequate knowledge of climate change and adaptation strategies for decision-making supports. The TaiCCAT highly recommends the approach of cross-disciplinary collaboration from environmental studies to adaptation governance. The result can therefore be more contributive to reflect the complexity of the changing world.
Dall, Sasha R. X.; Gosling, Samuel; Gordon D.A., Brown,; Dingemanse, Niels; Ido, Erev,; Martin, Kocher,; Laura, Schulz,; Todd, Peter M; Weissing, Franz; Wolf, Max; Hammerstein, Peter; Stevens, Jeffrey R.
Variation in how organisms allocate their behavior over their lifetimes is key to determining Darwinian fitness., and thus the evolution of human and nonhuman decision making. This chapter explores how decision making varies across biologically and societally significant scales and what role such
Advises directors of ways to include day care workers in the decision-making process. Enumerates benefits of using staff to help focus and direct changes in the day care center and discusses possible pitfalls in implementation of a collective decision-making approach to management. (NH)
Full Text Available Sustainability is probably the ultimate goal of any entrepreneur when initiating or developing a business. As it involves competitiveness, companies aim to produce differentiated economic offerings by reusing and sharing processes, components, information and knowledge ‒ many times from different domains. However, to be effective, this should be envisaged already when developing the entrepreneurial plan or when assessing the opportunity of extending the business – therefore the need for planning / implementing / integrating several business lines (from various domains. As many of them may look attractive, an effective decision of starting one business line or another should be supported by some tool that allows a systematic assessment of the opportunity of implementing them. This paper proposes an algorithm that supports entrepreneurs in this respect. The opportunity of developing new business lines is assessed by estimating the mutual impact between them and existing business lines, their impact on organizational performance, and additional indicators such as financial effort, the estimated return on investment, technical and organizational difficulty, risk level or domain financing opportunities. An application example is presented in which an SME in an interdisciplinary domain (covering IT and life-sciences assesses the opportunity of opening two new business lines.
Abramoff, Rose; Harden, Jennifer; Georgiou, Katerina; Tang, Jinyun; Torn, Margaret; Riley, William
In order to plan for responsible soil carbon (C) management, it is important to know how site factors will affect C stabilization. For example, is mineral-associated C vulnerable to climate change, and how do management practices that modify plant inputs affect mineral-associated C? We applied a soil organic carbon (SOC) decomposition model that represents microbial physiology and mineral sorption. The model was able to reproduce large spatial gradients in SOC stocks; model predictions of SOC were highly correlated with SOC observations across an 4000 km transect (R2 > 0.9). We also used a Random Forest algorithm to compare our model predictions with transect data. We applied this model to explore expected changes to SOC across a range of mineral surface properties, mean annual temperature (MAT), and plant input rates. We found that SOC generally increased after plant amendments. Furthermore, the type of amendment (i.e., high vs. low lignin content), soil mineralogy, and climate all affected the sign and magnitude of SOC change over time. In particular, cold sites with low mineral surface availability were most vulnerable to SOC loss, and may benefit most from plant amendments. At all sites, mineral surface saturation reduced the SOC pool's sensitivity to changes in plant inputs. Saturated soils lost a smaller fraction of initial mineral-associated C following warming. We encourage the use of soil carbon models as frameworks to evaluate how particular sites may respond to changes in management and/or climate.
Alonso-Coello, Pablo; Schünemann, Holger J; Moberg, Jenny; Brignardello-Petersen, Romina; Akl, Elie A; Davoli, Marina; Treweek, Shaun; Mustafa, Reem A; Rada, Gabriel; Rosenbaum, Sarah; Morelli, Angela; Guyatt, Gordon H; Oxman, Andrew D
Clinicians, guideline developers, and policymakers sometimes neglect important criteria, give undue weight to criteria, and do not use the best available evidence to inform their judgments. Explicit and transparent systems for decision making can help to ensure that all important criteria are considered and that decisions are informed by the best available research evidence. The GRADE Working Group has developed Evidence to Decision (EtD) frameworks for the different type of recommendations or decisions. The purpose of EtD frameworks is to help people use evidence in a structured and transparent way to inform decisions in the context of clinical recommendations, coverage decisions, and health system or public health recommendations and decisions. EtD frameworks have a common structure that includes formulation of the question, an assessment of the evidence, and drawing conclusions, though there are some differences between frameworks for each type of decision. EtD frameworks inform users about the judgments that were made and the evidence supporting those judgments by making the basis for decisions transparent to target audiences. EtD frameworks also facilitate dissemination of recommendations and enable decision makers in other jurisdictions to adopt recommendations or decisions, or adapt them to their context. This article is a translation of the original article published in British Medical Journal. The EtD frameworks are currently used in the Clinical Practice Guideline Programme of the Spanish National Health System, co-ordinated by GuíaSalud. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.
Roth, N; Ciffroy, P
Considerable efforts have been invested so far to evaluate and rank the quality and relevance of (eco)toxicity data for their use in regulatory risk assessment to assess chemical hazards. Many frameworks have been developed to improve robustness and transparency in the evaluation of reliability and relevance of individual tests, but these frameworks typically focus on either environmental risk assessment (ERA) or human health risk assessment (HHRA), and there is little cross talk between them. There is a need to develop a common approach that would support a more consistent, transparent and robust evaluation and weighting of the evidence across ERA and HHRA. This paper explores the applicability of existing Data Quality Assessment (DQA) frameworks for integrating environmental toxicity hazard data into human health assessments and vice versa. We performed a comparative analysis of the strengths and weaknesses of eleven frameworks for evaluating reliability and/or relevance of toxicity and ecotoxicity hazard data. We found that a frequent shortcoming is the lack of a clear separation between reliability and relevance criteria. A further gaps and needs analysis revealed that none of the reviewed frameworks satisfy the needs of a common eco-human DQA system. Based on our analysis, some key characteristics, perspectives and recommendations are identified and discussed for building a common DQA system as part of a future integrated eco-human decision-making framework. This work lays the basis for developing a common DQA system to support the further development and promotion of Integrated Risk Assessment. Copyright © 2016 Elsevier Ltd. All rights reserved.
Deregulation, with concurrent pressure on electricity utilities, has fundamentally changed the once-"closed" radioactive waste management system controlled by the so-called "nuclear establishment." Advocacy coalitions may change-who knows in which direction-but policy learning may also take place. This article presents a framework to evaluate the management options for a specified concept of "sustainability." When weighing the different objectives in view of the long-lasting potential danger of radiotoxic substances, the overall goal of a sound waste management system is to demonstrate safety. The first-priority objective of a disposal system, therefore, is its stability so that it can comply with the protection goal, that is, the long-term protection of humans and the environment from ionizing radiation. The complementary objective is flexibility, defined here as intervention potential. Because trade-offs within the "sustainability triangle" of ecology, economy, and society are unavoidable, the concept of "integral robustness"-both technical and societal-is introduced into radioactive waste management. A system is robust if it is not sensitive to significant parameter changes. In the present case, it has to have a conservative, passively stable design with built-in control and intervention mechanisms. With regard to technical implementation, a concept called "monitored long-term geological disposal" is presented. Such an "extended" final disposal concept emphasizes technical robustness, recognizes evaluation demands (for a potential break-off of a project), and enhances process-based transparency. This open approach admittedly sets high challenges with regard to technicalities as well as the institutional setting and the management process. It requires "mutual learning" by and from all stakeholders to achieve a truly sustainable radioactive waste management system.
Reyna, Valerie F; Nelson, Wendy L; Han, Paul K; Pignone, Michael P
We review decision making along the cancer continuum in the contemporary context of informed and shared decision making in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PsycINFO Database Record (c) 2015 APA, all rights reserved.
Orasanu, Judith; Statler, Irving C. (Technical Monitor)
The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and 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. Effective crew decision making and overall performance are mediated by crew communication. Communication
Race, Margaret S.; Randolph, Richard O.
While formal principles have been adopted for the eventuality of detecting intelligent life in our galaxy (SETI Principles), no such guidelines exist for the discovery of non-intelligent extraterrestrial life within the solar system. Current scientifically based planetary protection policies for solar system exploration address how to undertake exploration, but do not provide clear guidance on what to do if and when life is detected. Considering that martian life could be detected under several different robotic and human exploration scenarios in the coming decades, it is appropriate to anticipate how detection of non-intelligent, microbial life could impact future exploration missions and activities, especially on Mars. This paper discusses a proposed set of interim guidelines based loosely on the SETI Principles and addresses issues extending from the time of discovery through future handling and treatment of extraterrestrial life on Mars or elsewhere. Based on an analysis of both scientific and ethical considerations, there is a clear need for developing operating protocols applicable at the time of discovery and a decision making framework that anticipates future missions and activities, both robotic and human. There is growing scientific confidence that the discovery of extraterrestrial life in some form is nearly inevitable. If and when life is discovered beyond Earth, non-scientific dimensions may strongly influence decisions about the nature and scope of future missions and activities. It is appropriate to encourage international discussion and consideration of the issues prior to an event of such historical significance.
Full Text Available A fundamental concern for the investor community is to identify techniques which would allow them to evaluate and highlight the most probable financial risks that could affect the value of their asset portfolio. Traditional techniques primarily focus on estimating certain conventional social-economic factors and many fail to cover an array of climate change risks. A limited number of institutional documents present, to a somewhat limited extent, some general-defined types of business climate change risks, which are deemed most likely to influence the value of an investors’ portfolio. However, it is crucial that stakeholders of businesses and scholars consider a wider range of information so as to assist investors in their decision making. This paper aims at establishing a new framework to operationalize and quantify an array of business climate change risks to provide more comprehensive and tangible information on non-traditional risks. This framework relies on the benchmarking – scoring systems and Global Reporting Initiative (GRI guidelines, and is applied to various Greek businesses that are certified by Environmental Management and Audit Scheme (EMAS.
Full Text Available Price decision making in a marketing program framework creatings is a complicated and delicated part of marketing management, especially to keep in sight culminating of mass external factors. In a market economies price policy as a marketing mix instrument rarely is regulated by the law, which opening the ethical aspect questions of price decision making process. The ethics in the price decision making means consideration of the inner law of the individual (marketing managers and/or consumers, whose irreverence does not entail any juridical sanctions, rather its application is sanctioned by the self - awareness. The acception and stability of the ethical aspect price decision making are determined by the characteristic of selected marketing environment.
Callon, Wynne; Beach, Mary Catherine; Links, Anne R; Wasserman, Carly; Boss, Emily F
We aimed to develop a comprehensive, descriptive framework to measure shared decision making (SDM) in clinical encounters. We combined a top-down (theoretical) approach with a bottom-up approach based on audio-recorded dialogue to identify all communication processes related to decision making. We coded 55 pediatric otolaryngology visits using the framework and report interrater reliability. We identified 14 clinician behaviors and 5 patient behaviors that have not been previously described, and developed a new SDM framework that is descriptive (what does happen) rather than normative (what should happen). Through the bottom-up approach we identified three broad domains not present in other SDM frameworks: socioemotional support, understandability of clinician dialogue, and recommendation-giving. We also specify the ways in which decision-making roles are assumed implicitly rather than discussed explicitly. Interrater reliability was >75% for 92% of the coded behaviors. This SDM framework allows for a more expansive understanding and analysis of how decision making takes place in clinical encounters, including new domains and behaviors not present in existing measures. We hope that this new framework will bring attention to a broader conception of SDM and allow researchers to further explore the new domains and behaviors identified. Copyright © 2018. Published by Elsevier B.V.
Kennedy, Catriona; O'Reilly, Pauline; Fealy, Gerard; Casey, Mary; Brady, Anne-Marie; McNamara, Martin; Prizeman, Geraldine; Rohde, Daniela; Hegarty, Josephine
To review, discuss and compare nursing and midwifery regulatory and professional bodies' scope of practice and associated decision-making frameworks. Scope of practice in professional nursing and midwifery is an evolving process which needs to be responsive to clinical, service, societal, demographic and fiscal changes. Codes and frameworks offer a system of rules and principles by which the nursing and midwifery professions are expected to regulate members and demonstrate responsibility to society. Discussion paper. Twelve scope of practice and associated decision-making frameworks (January 2000-March 2014). Two main approaches to the regulation of the scope of practice and associated decision-making frameworks exist internationally. The first approach is policy and regulation driven and behaviour oriented. The second approach is based on notions of autonomous decision-making, professionalism and accountability. The two approaches are not mutually exclusive, but have similar elements with a different emphasis. Both approaches lack explicit recognition of the aesthetic aspects of care and patient choice, which is a fundamental principle of evidence-based practice. Nursing organizations, regulatory authorities and nurses should recognize that scope of practice and the associated responsibility for decision-making provides a very public statement about the status of nursing in a given jurisdiction. © 2015 John Wiley & Sons Ltd.
The self-centeredness of modern organizations leads to environmental destruction and human deprivation. The principle of responsibility developed by Hans Jonas requires caring for the beings affected by our decisions and actions. Ethical decision-making creates a synthesis of reverence for ethical norms, rationality in goal achievement, and respect for the stakeholders. The maximin rule selects the "least worst alternative" in the multidimensional decision space of deontologica...
Jain, Lakhmi C
The present "Volume 1: Techniques and Applications" of the "Handbook on Decision Making" presents a useful collection of AI techniques, as well as other complementary methodologies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different domains, such as business, management, manufacturing, transportation and food industries, and biomedicine, are presented. The handbook includes twenty condensed c
Stokman, Frans N.; Assen, Marcel A.L.M. van; Knoop, Jelle van der; Oosten, Reinier C.H. van
This paper introduces a methodology for strategic intervention in collective decision making.The methodology is based on (1) a decomposition of the problem into a few main controversial issues, (2) systematic interviews of subject area specialists to obtain a specification of the decision
Hagmayer, York; Meder, Bjorn
Many of our decisions refer to actions that have a causal impact on the external environment. Such actions may not only allow for the mere learning of expected values or utilities but also for acquiring knowledge about the causal structure of our world. We used a repeated decision-making paradigm to examine what kind of knowledge people acquire in…
Jonassen, David H.
Decision making is the most common kind of problem solving. It is also an important component skill in other more ill-structured and complex kinds of problem solving, including policy problems and design problems. There are different kinds of decisions, including choices, acceptances, evaluations, and constructions. After describing the centrality…
Lerner, Jennifer S; Li, Ye; Valdesolo, Piercarlo; Kassam, Karim S
A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across different domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and decision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.
Lauesen, Linne Marie
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...... 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...
David C. Calkin; Mark A. Finney; Alan A. Ager; Matthew P. Thompson; Krista M. Gebert
In this paper we review progress towards the implementation of a riskmanagement framework for US federal wildland fire policy and operations. We first describe new developments in wildfire simulation technology that catalyzed the development of risk-based decision support systems for strategic wildfire management. These systems include new analytical methods to measure...
Esteves, L. S.; Foord, J.; Draux, H.
A strong and evidence-based environmental legislation contributes to reduce the generalised degradation of natural and semi-natural environments. However, the wide range of coastal settings and the complexity of interactions between physical, biological and socio-economic factors prevent the development of very specific guidelines at national and regional levels. Often coastal management decisions are taken locally as local governments are better placed to engage with local community. However, they can also be more influenced by stronger local sectors and suffer from lack of expertise, experience and funding. Significant conflicts might arise between sectoral interests, especially in multi-functional coastal areas. Reaching a consensus on which function is more important is a difficult task. Here a methodological framework is suggested to support decision-making in (1) the identification of priority objectives (e.g. which function should be preserved; how much loss is acceptable etc.); (2) the selection of measurable indicators to assess environmental damage (e.g. loss of habitats, services etc.) and (3) assessment of habitat/service compensation. Amongst the initial decisions, it is necessary to (a) determine at which scales (temporal and spatial) the objectives will be defined and (b) the sensitivity of each step to conflicts between experts' opinion (what is scientifically more adequate) and local needs (what the local community expects). The framework is applied to address conflicts identified in the management of Farlington Marshes (Langstone Harbour, Portsmouth, southern England) between habitat conservation, management of flood risk and provision of recreational grounds/green areas. Langstone Harbour is a designated conservation area of national, European and international importance. The North Solent Shoreline Management Plan (2011) indicates that 'hold-the-line' is the most adequate approach to be implemented along most of Langstone Harbour's shoreline in
Hagmayer, York; Meder, Björn
Many of our decisions refer to actions that have a causal impact on the external environment. Such actions may not only allow for the mere learning of expected values or utilities but also for acquiring knowledge about the causal structure of our world. We used a repeated decision-making paradigm to examine what kind of knowledge people acquire in such situations and how they use their knowledge to adapt to changes in the decision context. Our studies show that decision makers' behavior is strongly contingent on their causal beliefs and that people exploit their causal knowledge to assess the consequences of changes in the decision problem. A high consistency between hypotheses about causal structure, causally expected values, and actual choices was observed. The experiments show that (a) existing causal hypotheses guide the interpretation of decision feedback, (b) consequences of decisions are used to revise existing causal beliefs, and (c) decision makers use the experienced feedback to induce a causal model of the choice situation even when they have no initial causal hypotheses, which (d) enables them to adapt their choices to changes of the decision problem. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
Stokman, Frans N.; Assen, Marcel A.L.M. van; Knoop, Jelle van der; Oosten, Reinier C.H. van
This paper introduces a methodology for strategic intervention in collective decision making.The methodology is based on (1) a decomposition of the problem into a few main controversial issues, (2) systematic interviews of subject area specialists to obtain a specification of the decision setting,consisting of a list of stakeholders with their capabilities, positions, and salience on each of the issues; (3) computer simulation. The computer simulation models incorporate only the main processe...
This article presents evidence that the potential loss of control of events by officials who must operate under conditions that generate substantial stress is one of the central problems of crisis decision making. Examples of U.S. crises management and alliance management are reviewed, and possible tools for improving crisis management decisions are discussed. This article particularly focuses on crises which may lead to nuclear war
Full Text Available One of the primary managerial decisions for manufacturing units is to find out which activity must be outsourced. A good outsourcing decision is normally involved with different criteria such as opportunity costs, cost saving, etc. In this paper, we present a multi criteria decision-making method to find a suitable solution for outsourcing activities called preference ranking organization method for enrichment evaluations (PROMETHEE. The proposed model of this paper uses fuzzy numbers to determine the relative importance of different criteria and it is implemented for a real-world case study of aerospace industry.
Karny, Miroslav; Wolpert, David
Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: · how a crowd of imperfect decision makers outperforms experts' decisions; · how to decrease decision makers' imperfection by reducing knowledge available; ...
Maite Sara Mashego
Consensus decision making, concerns group members make decisions together with the requirement of reaching a consensus that is all members abiding by the decision outcome. Lone ranging worked for sometime in a autocratic environment. Researchers are now pointing to consensus decision-making in organizations bringing dividend to many organizations. This article used a descriptive analysis to compare the goodness of consensus decision making and making lone ranging decision management. This art...
Landsiedel, Robert; Ma-Hock, Lan; Wiench, Karin; Wohlleben, Wendel; Sauer, Ursula G.
As presented at the 2016 TechConnect World Innovation Conference on 22-25 May 2016 in Washington DC, USA, the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) `Nano Task Force' proposes a Decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping) consisting of three tiers to assign nanomaterials to four main groups with possible further subgrouping to refine specific information needs. The DF4nanoGrouping covers all relevant aspects of a nanomaterial's life cycle and biological pathways: intrinsic material properties and system-dependent properties (that depend upon the nanomaterial's respective surroundings), biopersistence, uptake and biodistribution, and cellular and apical toxic effects. Use, release, and exposure route may be applied as `qualifiers' to determine if, e.g., nanomaterials cannot be released from products, which may justify waiving of testing. The four main groups encompass (1) soluble, (2) biopersistent high aspect ratio, (3) passive, and (4) active nanomaterials. The DF4nanoGrouping foresees a stepwise evaluation of nanomaterial properties and effects with increasing biological complexity. In case studies covering carbonaceous nanomaterials, metal oxide, and metal sulfate nanomaterials, amorphous silica and organic pigments (all nanomaterials having primary particle sizes below 100 nm), the usefulness of the DF4nanoGrouping for nanomaterial hazard assessment was confirmed. The DF4nanoGrouping facilitates grouping and targeted testing of nanomaterials. It ensures that sufficient data for the risk assessment of a nanomaterial are available, and it fosters the use of non-animal methods. No studies are performed that do not provide crucial data. Thereby, the DF4nanoGrouping serves to save both animals and resources.
Arts, Josje H E; Hadi, Mackenzie; Irfan, Muhammad-Adeel; Keene, Athena M; Kreiling, Reinhard; Lyon, Delina; Maier, Monika; Michel, Karin; Petry, Thomas; Sauer, Ursula G; Warheit, David; Wiench, Karin; Wohlleben, Wendel; Landsiedel, Robert
The European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) 'Nano Task Force' proposes a Decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping) that consists of 3 tiers to assign nanomaterials to 4 main groups, to perform sub-grouping within the main groups and to determine and refine specific information needs. The DF4nanoGrouping covers all relevant aspects of a nanomaterial's life cycle and biological pathways, i.e. intrinsic material and system-dependent properties, biopersistence, uptake and biodistribution, cellular and apical toxic effects. Use (including manufacture), release and route of exposure are applied as 'qualifiers' within the DF4nanoGrouping to determine if, e.g. nanomaterials cannot be released from a product matrix, which may justify the waiving of testing. The four main groups encompass (1) soluble nanomaterials, (2) biopersistent high aspect ratio nanomaterials, (3) passive nanomaterials, and (4) active nanomaterials. The DF4nanoGrouping aims to group nanomaterials by their specific mode-of-action that results in an apical toxic effect. This is eventually directed by a nanomaterial's intrinsic properties. However, since the exact correlation of intrinsic material properties and apical toxic effect is not yet established, the DF4nanoGrouping uses the 'functionality' of nanomaterials for grouping rather than relying on intrinsic material properties alone. Such functionalities include system-dependent material properties (such as dissolution rate in biologically relevant media), bio-physical interactions, in vitro effects and release and exposure. The DF4nanoGrouping is a hazard and risk assessment tool that applies modern toxicology and contributes to the sustainable development of nanotechnological products. It ensures that no studies are performed that do not provide crucial data and therefore saves animals and resources. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights
Jacobs, Patricia A.
This report supplies references and comments on literature that identifies human factors influencing decision making, particularly military decision making. The literature has been classified as follows (the classes are not mutually exclusive): features of human information processing; decision making models which are not mathematical models but rather are descriptive; non- personality factors influencing decision making; national characteristics influencing decision makin...
Chang, Ai-Mei; And Others
Presents a hyperknowledge framework of decision support systems (DSS). This framework formalizes specifics about system functionality, representation of knowledge, navigation of the knowledge system, and user-interface traits as elements of a DSS environment that conforms closely to human cognitive processes in decision making. (Contains 52…
HENDRIKS, MMWB; DEBOER, JH; SMILDE, AK; DOORNBOS, DA
Interest is growing in multicriteria decision making (MCDM) techniques and a large number of these techniques are now available. The purpose of this tutorial is to give a theoretical description of some of the MCDM techniques. Besides this we will give an overview of the differences and similarities
Tunney, Richard J; Ziegler, Fenja V
In everyday life, many of the decisions that we make are made on behalf of other people. A growing body of research suggests that we often, but not always, make different decisions on behalf of other people than the other person would choose. This is problematic in the practical case of legally designated surrogate decision makers, who may not meet the substituted judgment standard. Here, we review evidence from studies of surrogate decision making and examine the extent to which surrogate decision making accurately predicts the recipient's wishes, or if it is an incomplete or distorted application of the surrogate's own decision-making processes. We find no existing domain-general model of surrogate decision making. We propose a framework by which surrogate decision making can be assessed and a novel domain-general theory as a unifying explanatory concept for surrogate decisions. © The Author(s) 2015.
This paper reports that the oil and gas business is undergoing a significant restructuring. In order to maintain control of our own destiny and succeed in an increasingly competitive business environment, the industry must set goals which are consistent with its continued success and focus on those goals in every aspect of its strategic management. By applying an approach to decision making which focuses on the achievement of the key goals required for success at every decision point and systematic follow-up, a firm can greatly increase its ability to succeed in the business environment of the future
Pedersen, Carsten Lund; Andersen, Torben Juul
, the aim of this study is to gain deeper insights into the complex and multifaceted decision processes that take place in large complex organizations operating in dynamic high-velocity markets. It is proposed that the ability to obtain faster, more accurate and updated insights about ongoing environmental......Strategic decision making remains a focal point in the strategy field, but despite decades of rich conceptual and empirical research we still seem distant from a level of understanding that can guide corporate practices effectively under turbulent and unpredictable environmental conditions. Hence...
Shared decision-making has been called the crux of patient-centred care and identified as a key part of change for improved quality and safety in healthcare. However, it rarely happens, is hard to do and is not taught - for many reasons. Talking with patients about options is not embedded in the attitudes or communication skills training of most healthcare professionals. Information tools such as patient decision aids, personal health records and the Internet will help to shift this state, as will policy that drives patient and public involvement in healthcare delivery and training.
Chambers, Duncan; Wilson, Paul
We have developed a framework for translating existing sources of synthesized and quality-assessed evidence, primarily systematic reviews, into actionable messages in the form of short accessible briefings. The service aims to address real-life problems in response to requests from decision-makers.Development of the framework was based on a scoping review of existing resources and our initial experience with two briefing topics, including models of service provision for young people with eating disorders. We also drew on previous experience in dissemination research and practice. Where appropriate, we made use of the SUPporting POlicy relevant Reviews and Trials (SUPPORT) tools for evidence-informed policymaking. To produce a product that it is fit for this purpose it has been necessary to go beyond a traditional summary of the available evidence relating to effectiveness. Briefings have, therefore, included consideration of cost effectiveness, local applicability, implications relating to local service delivery, budgets, implementation and equity. Our first evidence briefings produced under this framework cover diagnostic endoscopy by specialist nurses and integrated care pathways in mental healthcare settings. The framework will enable researchers to present and contextualize evidence from systematic reviews and other sources of synthesized and quality-assessed evidence. The approach is designed to address the wide range of questions of interest to decision-makers, especially those commissioning services or managing service delivery and organization in primary or secondary care. Evaluation of the use and usefulness of the evidence briefings we produce is an integral part of the framework and will help to fill a gap in the literature.
Full Text Available Abstract Background We have developed a framework for translating existing sources of synthesized and quality-assessed evidence, primarily systematic reviews, into actionable messages in the form of short accessible briefings. The service aims to address real-life problems in response to requests from decision-makers. Development of the framework was based on a scoping review of existing resources and our initial experience with two briefing topics, including models of service provision for young people with eating disorders. We also drew on previous experience in dissemination research and practice. Where appropriate, we made use of the SUPporting POlicy relevant Reviews and Trials (SUPPORT tools for evidence-informed policymaking. Findings To produce a product that it is fit for this purpose it has been necessary to go beyond a traditional summary of the available evidence relating to effectiveness. Briefings have, therefore, included consideration of cost effectiveness, local applicability, implications relating to local service delivery, budgets, implementation and equity. Our first evidence briefings produced under this framework cover diagnostic endoscopy by specialist nurses and integrated care pathways in mental healthcare settings. Conclusions The framework will enable researchers to present and contextualize evidence from systematic reviews and other sources of synthesized and quality-assessed evidence. The approach is designed to address the wide range of questions of interest to decision-makers, especially those commissioning services or managing service delivery and organization in primary or secondary care. Evaluation of the use and usefulness of the evidence briefings we produce is an integral part of the framework and will help to fill a gap in the literature.
This paper reports on ways of improving the reliability of products and systems in this country if we are to survive as a first-rate industrial power. The use of statistical techniques have, since the 1920s, been viewed as one of the methods for testing quality and estimating the level of quality in a universe of output. Statistical quality control is not relevant, generally, to improving systems in an industry like yours, but certainly the use of probability concepts is of significance. In addition, when it is recognized that part of the problem involves making decisions under uncertainty, it becomes clear that techniques such as sequential decision making and Bayesian analysis become major methodological approaches that must be utilized
Mummaneni, Praveen V; Shaffrey, Christopher I; Lenke, Lawrence G; Park, Paul; Wang, Michael Y; La Marca, Frank; Smith, Justin S; Mundis, Gregory M; Okonkwo, David O; Moal, Bertrand; Fessler, Richard G; Anand, Neel; Uribe, Juan S; Kanter, Adam S; Akbarnia, Behrooz; Fu, Kai-Ming G
Minimally invasive surgery (MIS) is an alternative to open deformity surgery for the treatment of patients with adult spinal deformity. However, at this time MIS techniques are not as versatile as open deformity techniques, and MIS techniques have been reported to result in suboptimal sagittal plane correction or pseudarthrosis when used for severe deformities. The minimally invasive spinal deformity surgery (MISDEF) algorithm was created to provide a framework for rational decision making for surgeons who are considering MIS versus open spine surgery. A team of experienced spinal deformity surgeons developed the MISDEF algorithm that incorporates a patient's preoperative radiographic parameters and leads to one of 3 general plans ranging from MIS direct or indirect decompression to open deformity surgery with osteotomies. The authors surveyed fellowship-trained spine surgeons experienced with spinal deformity surgery to validate the algorithm using a set of 20 cases to establish interobserver reliability. They then resurveyed the same surgeons 2 months later with the same cases presented in a different sequence to establish intraobserver reliability. Responses were collected and tabulated. Fleiss' analysis was performed using MATLAB software. Over a 3-month period, 11 surgeons completed the surveys. Responses for MISDEF algorithm case review demonstrated an interobserver kappa of 0.58 for the first round of surveys and an interobserver kappa of 0.69 for the second round of surveys, consistent with substantial agreement. In at least 10 cases there was perfect agreement between the reviewing surgeons. The mean intraobserver kappa for the 2 surveys was 0.86 ± 0.15 (± SD) and ranged from 0.62 to 1. The use of the MISDEF algorithm provides consistent and straightforward guidance for surgeons who are considering either an MIS or an open approach for the treatment of patients with adult spinal deformity. The MISDEF algorithm was found to have substantial inter- and
Paterlini, G; Tagliabue, P
The field of neonatology presents a fascinating context in which hugely important decisions have to be made on the basis of physicians' assessments of the long term consequences of various possible choices. In many cases such assessments cannot be derived from a consensual professional opinion; the situation is characterized by a high level of uncertainty. A sample of neonatologists in different countries received a questionnaire including vignette cases for which no clear consensus exists regarding the (probabilistic) prognosis. They were asked to (I) assess the probability of various outcomes (death, severe impairment) and (II) choose a treatment to be offered to the parents. Information on the physicians' professional and socio-demographic characteristics and their ethical "values" was also collected. The goal of this international survey is to understand the prognosis and to analyze decision making by professionals in the context of life and death in medicine. The availability of an identical technology in different social and institutional contexts should help identifying the convergences and differences under consideration. Seventy percent of those invited responded to the questionnaire (International 60-80%). Italian neonatologists seem to be quite pessimistic about the prognosis of infants at high risk of death or long term disabilities, they show a pro-life attitude, but in a certain proportion are willing to change their minds if requested by parents. Furthermore personal opinions predominate in the decision-making process and the contribution of team meeting and/or ethic consultation seem not significantly modify the decisions.
Full Text Available The aim of the present study was to determine the extent to which employees would like to participate in decision making concerning various organisational issues, especially those concerning: the work itself, working conditions, human resources issues, and corporate policy and planning. The sample consisted of 146 participants, including managers, middle managers, and junior officials from a South African development corporation. A questionnaire to measure employees' desire to participate in decision making was specially constructed for this investigation. It has found that employees with higher academic qualifications were more desirous to participate in decision-making at all levels than employees with lower academic qualifications. This was also true for employees in higher job grades than in lower job grades. Men were more desirous to participate in decision making than women. The implications of the findings are discussed. Opsomming Die doel van die huidige studie was om vas te stel in watter mate werknemers sal wil deelneem aan die besluit- nameproses van organisasies, veral rakende die volgende sake: die werk self, werksomstandighede, menslike hulpbronaangeleenthede en korporatiewe beleid en beplanning. Die steekproef het uit 146 deelnemers, insluitende bestuurders, middelvlakbestuurders en junior amptenare van'n Suid Afrikaanse ontwikkelingskorporasie, bestaan. nVraelys wat die begeerte van werknemers meet om aan die besluitnameproses deel te neem, is spesiaal vir die doel van hierdie ondersoek, ontwerp. Dit is bevind dat werknemers met hoer akademiese kwalifikasies meer begerig is om aan die besluitnameproses op alle vlakke deel te neem as werknemers met laer akademiese kwalifikasies. Dit was ook waar vir werknemers in hoervlakposte vergeleke met werknemers in laervlakposte. Mans was ook meer begerig om aan die besluitnameproses deel te neem as vroue. Die implikasies van die studie word bespreek.
Full Text Available The Cynefin scheme is a concept of knowledge management, originally devised to support decision making in management, but more generally applicable to situations, in which complexity challenges the quality of insight, prediction, and decision. Despite the fact that life itself, and especially the brain and its diseases, are complex to the extent that complexity could be considered their cardinal feature, complex problems in biomedicine are often treated as if they were actually not more than the complicated sum of solvable sub-problems. Because of the emergent properties of complex contexts this is not correct. With a set of clear criteria Cynefin helps to set apart complex problems from “simple/obvious,” “complicated,” “chaotic,” and “disordered” contexts in order to avoid misinterpreting the relevant causality structures. The distinction comes with the insight, which specific kind of knowledge is possible in each of these categories and what are the consequences for resulting decisions and actions. From student's theses over the publication and grant writing process to research politics, misinterpretation of complexity can have problematic or even dangerous consequences, especially in clinical contexts. Conceptualization of problems within a straightforward reference language like Cynefin improves clarity and stringency within projects and facilitates communication and decision-making about them.
Peek, Monica E; Lopez, Fanny Y; Williams, H Sharif; Xu, Lucy J; McNulty, Moira C; Acree, M Ellen; Schneider, John A
Enhancing patient-centered care and shared decision making (SDM) has become a national priority as a means of engaging patients in their care, improving treatment adherence, and enhancing health outcomes. Relatively little is known about the healthcare experiences or shared decision making among racial/ethnic minorities who also identify as being LGBT. The purpose of this paper is to understand how race, sexual orientation and gender identity can simultaneously influence SDM among African-American LGBT persons, and to propose a model of SDM between such patients and their healthcare providers. We reviewed key constructs necessary for understanding SDM among African-American LGBT persons, which guided our systematic literature review. Eligible studies for the review included English-language studies of adults (≥ 19 y/o) in North America, with a focus on LGBT persons who were African-American/black (i.e., > 50 % of the study population) or included sub-analyses by sexual orientation/gender identity and race. We searched PubMed, CINAHL, ProQuest Dissertations & Theses, PsycINFO, and Scopus databases using MESH terms and keywords related to shared decision making, communication quality (e.g., trust, bias), African-Americans, and LGBT persons. Additional references were identified by manual reviews of peer-reviewed journals' tables of contents and key papers' references. We identified 2298 abstracts, three of which met the inclusion criteria. Of the included studies, one was cross-sectional and two were qualitative; one study involved transgender women (91 % minorities, 65 % of whom were African-Americans), and two involved African-American men who have sex with men (MSM). All of the studies focused on HIV infection. Sexual orientation and gender identity were patient-reported factors that negatively impacted patient/provider relationships and SDM. Engaging in SDM helped some patients overcome normative beliefs about clinical encounters. In this paper, we present a
Chahine, Saad; Cristancho, Sayra; Padgett, Jessica; Lingard, Lorelei
In the competency-based medical education (CBME) approach, clinical competency committees are responsible for making decisions about trainees? competence. However, we currently lack a?theoretical model for group decision-making to inform this emerging assessment phenomenon. This paper proposes an organizing framework to study and guide the decision-making processes of clinical competency committees. This is an explanatory, non-exhaustive review, tailored to identify relevant theoretical and e...
The challenge of making training decisions with a high degree of confidence as to the results of those decisions face every DOD, Federal, State, and City agency. Training has historically been a very labor and paper intensive system with limited automation support. This paper outlines how one DOD component, the Air Force, is approaching that challenge. The Training Decision System (TDS) will provide the Air Force with an automated decision aid to help plan and estimate the consequences of various mixes of resident training, On-The-Job Training (OJT), and field training within a specialty such as security. The system described provides training from enlistment to separation and responds to hundreds of related security task needs. This system identifies what the tasks are, who should provide the training, what training setting should be used, what proficiency should be achieved, and through computer modeling provides an assessment of training effectiveness options and estimate the impact of implementing those options. With current budgetary constraints and with the possibility of further reductions in the future, the most cost effective training mix must be found to sustain required capabilities
This document describes some parameters and fundamental criteria which should be taken into account by the safety authorities in the decision making. Added to these principles, internal procedures, devoted to an integrated framework of decision making, should be implemented. This presentation is based on the study realized by an experts Group of the Nuclear Energy Agency. (A.L.B.)
Acar, Erman; Thorne, Camilo; Stuckenschmidt, Heiner
© Springer International Publishing Switzerland 2015. We propose a framework for automated multi-attribute deci- sion making, employing the probabilistic non-monotonic description log- ics proposed by Lukasiewicz in 2008. Using this framework, we can model artificial agents in decision-making
Guy, Tatiana Valentine; Wolpert, David H
Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, lit
Decision-making has evolved recently thanks to the introduction of information and communication technologies in many organizations, which has led to new kinds of decision-making processes, called "collaborative decision-making", at the organizational and cognitive levels. This book looks at the development of the decision-making process in organizations. Decision-aiding and its paradigm of problem solving are defined, showing how decision-makers now need to work in a cooperative way. Definitions of cooperation and associated concepts such as collaboration and coordination are given and a framework of cooperative decision support systems is presented, including intelligent DSS, cooperative knowledge-based systems, workflow, group support systems, collaborative engineering, integrating with a collaborative decision-making model in part or being part of global projects. Several models and experimental studies are also included showing that these new processes have to be supported by new types of tools, several ...
Gigerenzer, Gerd; Gaissmaier, Wolfgang
As reflected in the amount of controversy, few areas in psychology have undergone such dramatic conceptual changes in the past decade as the emerging science of heuristics. Heuristics are efficient cognitive processes, conscious or unconscious, that ignore part of the information. Because using heuristics saves effort, the classical view has been that heuristic decisions imply greater errors than do "rational" decisions as defined by logic or statistical models. However, for many decisions, the assumptions of rational models are not met, and it is an empirical rather than an a priori issue how well cognitive heuristics function in an uncertain world. To answer both the descriptive question ("Which heuristics do people use in which situations?") and the prescriptive question ("When should people rely on a given heuristic rather than a complex strategy to make better judgments?"), formal models are indispensable. We review research that tests formal models of heuristic inference, including in business organizations, health care, and legal institutions. This research indicates that (a) individuals and organizations often rely on simple heuristics in an adaptive way, and (b) ignoring part of the information can lead to more accurate judgments than weighting and adding all information, for instance for low predictability and small samples. The big future challenge is to develop a systematic theory of the building blocks of heuristics as well as the core capacities and environmental structures these exploit.
Serotonin (5-HT) is an important player in decision making. Serotonergic antidepressant, anxiolytic and antipsychotic drugs are extensively used in the treatment of neuropsychiatric disorders characterized by impaired decision making, and exert both beneficial and harmful effects in patients.
Masini, Andrea; Menichetti, Emanuela
Investments in renewable energy (RE) technologies are regarded with increasing interest as an effective means to stimulate growth and accelerate the recovery from the recent financial crisis. Yet, despite their appeal, and the numerous policies implemented to promote these technologies, the diffusion of RE projects remains somehow below expectations. This limited penetration is also due to a lack of appropriate financing and to a certain reluctance to invest in these technologies. In order to shed light on this phenomenon, in this paper we examine the decision making process underlying investments in RE technologies. We propose and test a conceptual model that examines the structural and behavioural factors affecting the investors decisions as well as the relationship between RE investments and portfolio performance. Applying econometric techniques on primary data collected from a sample of European investors, we study how the investors’ a-priori beliefs, their preferences over policy instruments and their attitude toward technological risk affect the likelihood of investing in RE projects. We also demonstrate that portfolio performance increases with an increase of the RE share in the portfolio. Implications for scholars, investors, technology managers and policy makers are derived and discussed.
Consumer expectations for automobile seat comfort continue to rise. With this said, it is evident that the current automobile seat comfort development process, which is only sporadically successful, needs to change. In this context, there has been growing recognition of the need for establishing theoretical and methodological automobile seat comfort. On the other hand, seat producer need to know the costumer's required comfort to produce based on their interests. The current research methodologies apply qualitative approaches due to anthropometric specifications. The most significant weakness of these approaches is the inexact extracted inferences. Despite the qualitative nature of the consumer's preferences there are some methods to transform the qualitative parameters into numerical value which could help seat producer to improve or enhance their products. Nonetheless this approach would help the automobile manufacturer to provide their seats from the best producer regarding to the consumers idea. In this paper, a heuristic multi criteria decision making technique is applied to make consumers preferences in the numeric value. This Technique is combination of Analytical Hierarchy Procedure (AHP), Entropy method, and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). A case study is conducted to illustrate the applicability and the effectiveness of the proposed heuristic approach. Copyright © 2010 Elsevier Ltd. All rights reserved.
Bossaerts, Peter; Murawski, Carsten
The rationality principle postulates that decision-makers always choose the best action available to them. It underlies most modern theories of decision-making. The principle does not take into account the difficulty of finding the best option. Here, we propose that computational complexity theory (CCT) provides a framework for defining and quantifying the difficulty of decisions. We review evidence showing that human decision-making is affected by computational complexity. Building on this evidence, we argue that most models of decision-making, and metacognition, are intractable from a computational perspective. To be plausible, future theories of decision-making will need to take into account both the resources required for implementing the computations implied by the theory, and the resource constraints imposed on the decision-maker by biology. Copyright © 2017 Elsevier Ltd. All rights reserved.
Kostyuchenko, Yuriy V.; Sztoyka, Yulia; Kopachevsky, Ivan; Artemenko, Igor; Yuschenko, Maxim
Multi-model approach for remote sensing data processing and interpretation is described. The problem of satellite data utilization in multi-modeling approach for socio-ecological risks assessment is formally defined. Observation, measurement and modeling data utilization method in the framework of multi-model approach is described. Methodology and models of risk assessment in framework of decision support approach are defined and described. Method of water quality assessment using satellite observation data is described. Method is based on analysis of spectral reflectance of aquifers. Spectral signatures of freshwater bodies and offshores are analyzed. Correlations between spectral reflectance, pollutions and selected water quality parameters are analyzed and quantified. Data of MODIS, MISR, AIRS and Landsat sensors received in 2002-2014 have been utilized verified by in-field spectrometry and lab measurements. Fuzzy logic based approach for decision support in field of water quality degradation risk is discussed. Decision on water quality category is making based on fuzzy algorithm using limited set of uncertain parameters. Data from satellite observations, field measurements and modeling is utilizing in the framework of the approach proposed. It is shown that this algorithm allows estimate water quality degradation rate and pollution risks. Problems of construction of spatial and temporal distribution of calculated parameters, as well as a problem of data regularization are discussed. Using proposed approach, maps of surface water pollution risk from point and diffuse sources are calculated and discussed.
Alós-Ferrer, Carlos; Hügelschäfer, Sabine; Li, Jiahui
Decision inertia is the tendency to repeat previous choices independently of the outcome, which can give rise to perseveration in suboptimal choices. We investigate this tendency in probability-updating tasks. Study 1 shows that, whenever decision inertia conflicts with normatively optimal behavior (Bayesian updating), error rates are larger and decisions are slower. This is consistent with a dual-process view of decision inertia as an automatic process conflicting with a more rational, controlled one. We find evidence of decision inertia in both required and autonomous decisions, but the effect of inertia is more clear in the latter. Study 2 considers more complex decision situations where further conflict arises due to reinforcement processes. We find the same effects of decision inertia when reinforcement is aligned with Bayesian updating, but if the two latter processes conflict, the effects are limited to autonomous choices. Additionally, both studies show that the tendency to rely on decision inertia is positively associated with preference for consistency.
rational ones (i.e. Kohlberg’s influential model of decision making ). However, non- rational elements, such as affect, risk perception, risk preference...dread or anxiety) play a strong role in many types of decisions , and that the addition of decision makers’ emotions to models of choice may make ...White, 1994) agree that emotions are an integral part of ethical decision making as well. Emotions arise in the context of interpersonal
Alonso-Coello, Pablo; Oxman, Andrew D; Moberg, Jenny; Brignardello-Petersen, Romina; Akl, Elie A; Davoli, Marina; Treweek, Shaun; Mustafa, Reem A; Vandvik, Per O; Meerpohl, Joerg; Guyatt, Gordon H; Schünemann, Holger J
Clinicians do not have the time or resources to consider the underlying evidence for the myriad decisions they must make each day and, as a consequence, rely on recommendations from clinical practice guidelines. Guideline panels should consider all the relevant factors (criteria) that influence a decision or recommendation in a structured, explicit, and transparent way and provide clinicians with clear and actionable recommendations. In this article, we will describe the Evidence to Decision (EtD) frameworks for clinical practice recommendations. The general structure of the EtD framework for clinical recommendations is similar to EtD frameworks for other types of recommendations and decisions, and includes formulation of the question, an assessment of the different criteria, and conclusions. Clinical recommendations require considering criteria differently, depending on whether an individual patient or a population perspective is taken. For example, from an individual patient's perspective, out-of-pocket costs are an important consideration, whereas, from a population perspective, resource use (not only out-of-pocket costs) and cost effectiveness are important. From a population perspective, equity, acceptability, and feasibility are also important considerations, whereas the importance of these criteria is often limited from an individual patient perspective. Specific subgroups for which different recommendations may be required should be clearly identified and considered in relation to each criterion because judgments might vary across subgroups. This article is a translation of the original article published in the British Medical Journal. The EtD frameworks are currently used in the Clinical Practice Guideline Programme of the Spanish National Health System, co-ordinated by GuíaSalud. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.
Hoag, Dana L.; Ascough, James C.; Keske-Handley, C.; Koontz, Lynne; Burk, A.R.
Since Ott's seminal book on environmental indices (1978), the use of indices has expanded into several natural resource disciplines, including ecological studies, environmental policymaking, and agricultural economics. However, despite their increasing use in natural resource disciplines, researchers and public decision makers continue to express concern about validity of these instruments to capture and communicate multidimensional, and sometimes disparate, characteristics of research data and stakeholder interests. Our purpose is to demonstrate how useful indices can be for communicating environmental information to decision makers. We discuss how environmental indices have evolved over four stages: 1) simple; 2) compound multicriteria; 3) the impact matrix and 4) disparate stakeholder management. We provide examples of simple and compound indices that were used by policy decision makers. We then build a framework, called an Impact Matrix (IM), that comprehensively accounts for multiple indices but lets the user decide how to integrate them. The IM was shaped from the concept of a financial risk payoff matrix and applied to ecosystem risk. While the IM offers flexibility, it does not address stakeholder preferences about which index to use. Therefore, the last phase in our evolutionary ladder includes stakeholder indices to specifically address disparate stakeholder preferences. Finally, we assert that an environmental index has the potential to increase resource efficiency, since the number of decision making resources may be reduced, and hence improve upon resource productivity
Chuan, Ngam Min; Thiruchelvam, Sivadass; Nasharuddin Mustapha, Kamal; Che Muda, Zakaria; Mat Husin, Norhayati; Yong, Lee Choon; Ghazali, Azrul; Ezanee Rusli, Mohd; Itam, Zarina Binti; Beddu, Salmia; Liyana Mohd Kamal, Nur
This paper intends to fathom the current state of procurement system in Malaysia specifically in the construction industry in the aspect of supplier selection. This paper propose a comprehensive study on the supplier selection metrics for infrastructure building, weight the importance of each metrics assigned and to find the relationship between the metrics among initiators, decision makers, buyers and users. With the metrics hierarchy of criteria importance, a supplier selection process can be defined, repeated and audited with lesser complications or difficulties. This will help the field of procurement to improve as this research is able to develop and redefine policies and procedures that have been set in supplier selection. Developing this systematic process will enable optimization of supplier selection and thus increasing the value for every stakeholders as the process of selection is greatly simplified. With a new redefined policy and procedure, it does not only increase the company’s effectiveness and profit, but also make it available for the company to reach greater heights in the advancement of procurement in Malaysia.
Chang, Luke J; Sanfey, Alan G
Initial explorations in the burgeoning field of neuroeconomics have highlighted evidence supporting a potential dissociation between a fast automatic system and a slow deliberative controlled system. Growing research in the role of emotion in decision-making has attempted to draw parallels to the automatic system. This chapter will discuss a theoretical framework for understanding the role of emotion in decision-making and evidence supporting the underlying neural substrates. This chapter applies a conceptual framework to understanding the role of emotion in decision-making, and emphasizes a distinction between expected and immediate emotions. Expected emotions refer to anticipated emotional states associated with a given decision that are never actually experienced. Immediate emotions, however, are experienced at the time of decision, and either can occur in response to a particular decision or merely as a result of a transitory fluctuation. This chapter will review research from the neuroeconomics literature that supports a neural dissociation between these two classes of emotion and also discuss a few interpretive caveats. Several lines of research including regret, uncertainty, social decision-making, and moral decision-making have yielded evidence consistent with our formulization--expected and immediate emotions may invoke dissociable neural systems. This chapter provides a more specific conceptualization of the mediating role of emotions in the decision-making process, which has important implications for understanding the interacting neural systems underlying the interface between emotion and cognition--a topic of immediate value to anyone investigating topics within the context of social-cognitive-affective-neuroscience.
Loschetter, Annick; Rohmer, Jérémy
Standard and new generation of monitoring observations provide in almost real-time important information about the evolution of the volcanic system. These observations are used to update the model and contribute to a better hazard assessment and to support decision making concerning potential evacuation. The framework BET_EF (based on Bayesian Event Tree) developed by INGV enables dealing with the integration of information from monitoring with the prospect of decision making. Using this framework, the objectives of the present work are i. to propose a method to assess the added value of information (within the Value Of Information (VOI) theory) from monitoring; ii. to perform sensitivity analysis on the different parameters that influence the VOI from monitoring. VOI consists in assessing the possible increase in expected value provided by gathering information, for instance through monitoring. Basically, the VOI is the difference between the value with information and the value without additional information in a Cost-Benefit approach. This theory is well suited to deal with situations that can be represented in the form of a decision tree such as the BET_EF tool. Reference values and ranges of variation (for sensitivity analysis) were defined for input parameters, based on data from the MESIMEX exercise (performed at Vesuvio volcano in 2006). Complementary methods for sensitivity analyses were implemented: local, global using Sobol' indices and regional using Contribution to Sample Mean and Variance plots. The results (specific to the case considered) obtained with the different techniques are in good agreement and enable answering the following questions: i. Which characteristics of monitoring are important for early warning (reliability)? ii. How do experts' opinions influence the hazard assessment and thus the decision? Concerning the characteristics of monitoring, the more influent parameters are the means rather than the variances for the case considered
Mirkouei, Amin; Haapala, Karl R.; Sessions, John; Murthy, Ganti S.
Highlights: •A mixed supply chain is developed to enhance sustainability benefits of bioenergy. •A decision-making framework is constructed to balance sustainability dimensions. •A stochastic optimization model is developed to explore the effects of uncertainty. •This study provides insights on bio-oil production processes and system structure. -- Abstract: Bioenergy sources have been introduced as a means to address challenges of conventional energy sources. The uncertainties of supply-side (upstream) externalities (e.g., collection and logistics) represent the key challenges in bioenergy supply chains and lead to reduce cross-cutting sustainability benefits. We propose a mixed biomass-based energy supply chain (consisting of mixed-mode bio-refineries and mixed-pathway transportation) and a multi-criteria decision making framework to address the upstream challenges. Our developed framework supports decisions influencing the economic and environmental dimensions of sustainability. Economic analysis employs a support vector machine technique, to predict the pattern of uncertainty parameters, and a stochastic optimization model, to incorporate uncertainties into the model. The stochastic model minimizes the total annual cost of the proposed mixed supply chain network by using a genetic algorithm. Environmental impact analysis employs life cycle assessment to evaluate the global warming potential of the cost-effective supply chain network. Our presented approach is capable of enhancing sustainability benefits of bioenergy industry infrastructure. A case study for the Pacific Northwest is used to demonstrate the application of the methodology and to verify the models. The results indicate that mixed supply chains can improve sustainability performance over traditional supply infrastructures by reducing costs (up to 24%) and environmental impacts (up to 5%).
Bolisetti, Chandrakanth [Idaho National Lab. (INL), Idaho Falls, ID (United States); Yu, Chingching [Idaho National Lab. (INL), Idaho Falls, ID (United States); Coleman, Justin [Idaho National Lab. (INL), Idaho Falls, ID (United States); Whittaker, Andrew [Idaho National Lab. (INL), Idaho Falls, ID (United States); Kosbab, Ben [Idaho National Lab. (INL), Idaho Falls, ID (United States)
This report provides a framework for assessing the benefits of seismic isolation and exercises the framework on a Generic Department of Energy Nuclear Facility (GDNF). These benefits are (1) reduction in the risk of unacceptable seismic performance and a dramatic reduction in the probability of unacceptable performance at beyond-design basis shaking, and (2) a reduction in capital cost at sites with moderate to high seismic hazard. The framework includes probabilistic risk assessment and estimates of overnight capital cost for the GDNF.
Decisions are made according to a complex cognitive and emotional evaluation of the situation. The aim of the paper is to examine the effect of mood on risky investment decision making by using a mood induction procedure. The paper investigates how happy and sad mood affects risky investment decision making and whether there is a difference between the perception of fix investments and monetary investments. The analysis has been conducted focusing on individual investment decisions. Data for ...
Connolly, T.; Zeelenberg, M.
Decision research has only recently started to take seriously the role of emotions in choices and decisions. Regret is the emotion that has received the most attention. In this article, we sample a number of the initial regret studies from psychology and economics, and trace some of the complexities
We sometimes make decisions relying not necessarily on deliberative thoughts but on intuitive and emotional processes in uncertain situations. The somatic marker hypothesis proposed by Damasio argued that interoception, which means bodily responses such as sympathetic activity, can be represented in the insula and anterior cingulate cortex and can play critical roles in decision-making. Though this hypothesis has been criticized in its theoretical and empirical aspects, recent studies are expanding the hypothesis to elucidate multiple bodily responses including autonomic, endocrine, and immune activities that affect decision-making. In addition, cumulative findings suggest that the anterior insula where the inner model of interoception is represented can act as an interface between the brain and body in decision-making. This article aims to survey recent findings on the brain-body interplays underlying decision-making, and to propose hypotheses on the significance of the body in decision-making.
Background Research-informed fetal monitoring guidelines recommend intermittent auscultation (IA) for fetal heart monitoring for low-risk women. However, the use of cardiotocography (CTG) continues to dominate many institutional maternity settings. Methods A mixed methods intervention study with before and after measurement was undertaken in one secondary level health service to facilitate the implementation of an initiative to encourage the use of IA. The intervention initiative was a decision-making framework called Intelligent Structured Intermittent Auscultation (ISIA) introduced through an education session. Results Following the intervention, medical records review revealed an increase in the use of IA during labour represented by a relative change of 12%, with improved documentation of clinical findings from assessments, and a significant reduction in the risk of receiving an admission CTG (RR 0.75, 95% CI, 0.60 – 0.95, p = 0.016). Conclusion The ISIA informed decision-making framework transformed the practice of IA and provided a mechanism for knowledge translation that enabled midwives to implement evidence-based fetal heart monitoring for low risk women. PMID:24884597
desired effect (Eagly, & Chaiken, 1993). Arguably, artificial intelligence is representative of the best of approaches in rational decision - making ...2001), The quantum of social action and the function of emotion in decision - making , Emotional and Intelligent II: The Tangled Knot of Social...Collaborative decision making in METOC W.F. Lawless Paine College, Departments of Mathematics and Psychology Augusta, GA 30901-3182 ph: 706
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...
Darby, R Ryan; Dickerson, Bradford C
After participating in this activity, learners should be better able to:• Assess the neuropsychological literature on decision making and the medical and legal assessment of capacity in patients with dementia• Identify the limitations of integrating findings from decision-making research into capacity assessments for patients with dementia ABSTRACT: Medical and legal professionals face the challenge of assessing capacity and competency to make medical, legal, and financial decisions in dementia patients with impaired decision making. While such assessments have classically focused on the capacity for complex reasoning and executive functions, research in decision making has revealed that motivational and metacognitive processes are also important. We first briefly review the neuropsychological literature on decision making and on the medical and legal assessment of capacity. Next, we discuss the limitations of integrating findings from decision-making research into capacity assessments, including the group-to-individual inference problem, the unclear role of neuroimaging in capacity assessments, and the lack of capacity measures that integrate important facets of decision making. Finally, we present several case examples where we attempt to demonstrate the potential benefits and important limitations of using decision-making research to aid in capacity determinations.
Sharma, Tarang; Choudhury, Moni; Kaur, Bindweep
from the literature and a combined best practice checklist has been proposed. CONCLUSIONS: As decisions often need to be made in areas where there is a lack of published scientific evidence, CE is employed. Therefore to ensure its appropriateness the development of a validated CE data quality check......-list to assist decision makers is essential and further research in this area is a priority....
In many application areas, it is necessary to make effective decisions under constraints. Several area-specific techniques are known for such decision problems; however, because these techniques are area-specific, it is not easy to apply each technique to other applications areas. Cross-fertilization between different application areas is one of the main objectives of the annual International Workshops on Constraint Programming and Decision Making. Those workshops, held in the US (El Paso, Texas), in Europe (Lyon, France), and in Asia (Novosibirsk, Russia), from 2008 to 2012, have attracted researchers and practitioners from all over the world. This volume presents extended versions of selected papers from those workshops. These papers deal with all stages of decision making under constraints: (1) formulating the problem of multi-criteria decision making in precise terms, (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms, and making...
Jane, Nancy Yesudhas; Nehemiah, Khanna Harichandran; Arputharaj, Kannan
Clinical time-series data acquired from electronic health records (EHR) are liable to temporal complexities such as irregular observations, missing values and time constrained attributes that make the knowledge discovery process challenging. This paper presents a temporal rough set induced neuro-fuzzy (TRiNF) mining framework that handles these complexities and builds an effective clinical decision-making system. TRiNF provides two functionalities namely temporal data acquisition (TDA) and temporal classification. In TDA, a time-series forecasting model is constructed by adopting an improved double exponential smoothing method. The forecasting model is used in missing value imputation and temporal pattern extraction. The relevant attributes are selected using a temporal pattern based rough set approach. In temporal classification, a classification model is built with the selected attributes using a temporal pattern induced neuro-fuzzy classifier. For experimentation, this work uses two clinical time series dataset of hepatitis and thrombosis patients. The experimental result shows that with the proposed TRiNF framework, there is a significant reduction in the error rate, thereby obtaining the classification accuracy on an average of 92.59% for hepatitis and 91.69% for thrombosis dataset. The obtained classification results prove the efficiency of the proposed framework in terms of its improved classification accuracy.
Vermoolen, Myrthe; Hermans, Leon
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
Christopher A. Dieckmann, PE, CSEP-Acq
The Idaho National Laboratory (INL) is funded through the Department of Energy (DOE) Office of Nuclear Energy and other customers who have direct contracts with the Laboratory. The people, equipment, facilities and other infrastructure at the laboratory require continual investment to maintain and improve the laboratory’s capabilities. With ever tightening federal and customer budgets, the ability to direct investments into the people, equipment, facilities and other infrastructure which are most closely aligned with the laboratory’s mission and customers’ goals grows increasingly more important. The ability to justify those investment decisions based on objective criteria that can withstand political, managerial and technical criticism also becomes increasingly more important. The Systems Engineering tools of decision analysis, risk management and roadmapping, when properly applied to such problems, can provide defensible decisions.
Arthur, R.; Sibani, P.
We discuss fitness landscapes and how they can be modified to account for co-evolution. We are interested in using the landscape as a way to model rational decision making in a toy economic system. We develop a model very similar to the Tangled Nature Model of Christensen et al. that we call the Tangled Decision Model. This is a natural setting for our discussion of co-evolutionary fitness landscapes. We use a Monte Carlo step to simulate decision making and investigate two different decision making procedures.
Arthur, Rudy; Sibani, Paolo
We discuss fitness landscapes and how they can be modified to account for co-evolution. We are interested in using the landscape as a way to model rational decision making in a toy economic system. We develop a model very similar to the Tangled Nature Model of Christensen et. al. that we call...... the Tangled Decision Model. This is a natural setting for our discussion of co-evolutionary fitness landscapes. We use a Monte Carlo step to simulate decision making and investigate two different decision making procedures....
Brown, T.J.; Cochran, J.R.; Gallegos, D.P.
This paper presents an approach for treating uncertainty in the performance assessment process to efficiently address regulatory performance objectives for radioactive waste disposal and discusses the application of the approach at the Greater Confinement Disposal site. In this approach, the performance assessment methodology uses probabilistic risk assessment concepts to guide effective decisions about site characterization activities and provides a path toward reasonable assurance regarding regulatory compliance decisions. Although the approach is particularly amenable to requirements that are probabilistic in nature, the approach is also applicable to deterministic standards such as the dose-based and concentration-based requirements
Business educators should give students specific training in a methodology which will enable them to make logical, systematic, and rational decisions. Kepner-Tregoe Analysis (KTA), a decision making model, is described and illustrated with an example of a student buying his first car. (SC)
A M Kustubayeva
Full Text Available The results of the experimental research of the connection between the efficiency of decision making and emotional intelligence are presented in the article. The empirical data indicate that the ability to regulate emotion is an important indicator of the efficiency of decision making in the conditions of psychological experiment.
Orasanu, Judith; Shafto, Michael G. (Technical Monitor)
The Importance of decision-making to safety in complex, dynamic environments like mission control centers, aviation, and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. Yet laboratory research on decision making has not proven especially helpful In improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multi-dimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and 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. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that
Pennington, N; Hastie, R
A general theory of explanation-based decision making is outlined and the multiple roles of inference processes in the theory are indicated. A typology of formal and informal inference forms, originally proposed by Collins (1978a, 1978b), is introduced as an appropriate framework to represent inferences that occur in the overarching explanation-based process. Results from the analysis of verbal reports of decision processes are presented to demonstrate the centrality and systematic character of reasoning in a representative legal decision-making task.
Cooper, R J; Bissell, P; Wingfield, J
Increasing interest in empirical ethics has enhanced understanding of healthcare professionals' ethical problems and attendant decision-making. A four-stage decision-making model involving ethical attention, reasoning, intention and action offers further insights into how more than reasoning alone may contribute to decision-making. To explore how the four-stage model can increase understanding of decision-making in healthcare and describe the decision-making of an under-researched professional group. 23 purposively sampled UK community pharmacists were asked, in semi-structured interviews, to describe ethical problems in their work and how they were resolved. Framework analysis of transcribed interviews utilised the four decision-making stages, together with constant comparative methods and deviant-case analysis. Pharmacists were often inattentive and constructed problems in legal terms. Ethical reasoning was limited, but examples of appeals to consequences, the golden rule, religious faith and common-sense experience emerged. Ethical intention was compromised by frequent concern about legal prosecution. Ethical inaction was common, typified by pharmacists' failure to report healthcare professionals' bad practices, and ethical passivity emerged to describe these negative examples of the four decision-making stages. Pharmacists occasionally described more ethically active decision-making, but this often involved ethical uncertainty. The four decision-making stages are a useful tool in considering how healthcare professionals try to resolve ethical problems in practice. They reveal processes often ignored in normative theories, and their recognition and the emergence of ethical passivity indicates the complexity of decision-making in practice. Ethical passivity may be deleterious to patients' welfare, and concerns emerge about improving pharmacists' ethical training and promoting ethical awareness and responsibility.
Full Text Available Decision-making is defined as a selection of a certain actionamong several alternatives. It is the essence of planning, asin the managerial sense there is no plan until a decision of engagementof resources, reputation and direction of activities ismade. Decision-making is, in fact, only a step in planning, evenwhen it is performed quickly and without special consideration.It is what we all experience every day. It is one of the most fascinatingbiological activities and the subject of frightening implicationsfor the whole human race. Since various techniques improvethe system and the quality of managerial decision-making,they are classified into three assumptions: risk analysis, decision-making trees, and the theory of revealed preference. Allof these are based on the interaction of a certain number of importantvariables out of which many contain the elements ofuncertainty, but maybe also high level of probability.
Rough Set TheoryBasic concepts and properties of rough sets Rough Membership Rough Intervals Rough FunctionApplications of Rough SetsMultiple Objective Rough Decision Making Reverse Logistics Problem with Rough Interval Parameters MODM based Rough Approximation for Feasible RegionEVRMCCRMDCRM Reverse Logistics Network Design Problem of Suji Renewable Resource MarketBilevel Multiple Objective Rough Decision Making Hierarchical Supply Chain Planning Problem with Rough Interval Parameters Bilevel Decision Making ModelBL-EVRM BL-CCRMBL-DCRMApplication to Supply Chain Planning of Mianyang Co., LtdStochastic Multiple Objective Rough Decision Multi-Objective Resource-Constrained Project Scheduling UnderRough Random EnvironmentRandom Variable Stochastic EVRM Stochastic CCRM Stochastic DCRM Multi-Objective rc-PSP/mM/Ro-Ra for Longtan Hydropower StationFuzzy Multiple Objective Rough Decision Making Allocation Problem under Fuzzy Environment Fuzzy Variable Fu-EVRM Fu-CCRM Fu-DCRM Earth-Rock Work Allocation Problem.
Phillips, Susan D.; And Others
Examined the role of rational, intuitive, and dependent decisional strategies in facilitating decisions about postcollege occupation among college students (N=71). Results indicated that the use of a dependent decision-making style was the single most powerful predictor of progress. (LLL)
Mohamad, Shahriari; Aliandrina, Dessy; Feng, Yan
The aim of this paper was to identify human errors in decision making process. The study was focused on a research question such as: what could be the human error as a potential of decision failure in evaluation of the alternatives in the process of decision making. Two case studies were selected from the literature and analyzed to find the human errors contribute to decision fail. Then the analysis of human errors was linked with mental models in evaluation of alternative step. The results o...
Kerstholt, J.H.; Ayton, P.
What sort of activity should we understand to be encompassed by the term decision making? As laid out by Lipshitz et al. (this issue), the Naturalistic Decision Making (NDM) framework offers a view of human decision making that stems not from the familiar economic/mathematical theoretical tradition
... For Teens: How to Make Healthy Decisions About Sex Page Content Article Body Before you decide to ... alcohol or use drugs. Are You Ready for Sex? Sex can change your life and relationships. Having ...
.... The separation of psychology into sub-disciplines or paradigms that don't talk to one another. 3. The failure to distinguish between technical and common language usage when dealing with concepts such as decision making and command...
Ong, D; Khaddaj, Souheil; Bashroush, Rabih
Most intelligent systems have some form of \\ud decision making mechanisms built into their \\ud organisations. These normally include a logical \\ud reasoning element into their design. This paper reviews \\ud and compares the different logical reasoning strategies, \\ud and tries to address the accuracy and precision of \\ud decision making by formulating a tolerance to \\ud imprecision view which can be used in conjunction with \\ud the various reasoning strategies.
Homberg, Judith R
Serotonin (5-HT) is an important player in decision making. Serotonergic antidepressant, anxiolytic and antipsychotic drugs are extensively used in the treatment of neuropsychiatric disorders characterized by impaired decision making, and exert both beneficial and harmful effects in patients. Detailed insight into the serotonergic mechanisms underlying decision making is needed to strengthen the first and weaken the latter. Although much remains to be done to achieve this, accumulating studies begin to deliver a coherent view. Thus, high central 5-HT levels are generally associated with improved reversal learning, improved attentional set shifting, decreased delay discounting, and increased response inhibition, but a failure to use outcome representations. Based on 5-HT's evolutionary role, I hypothesize that 5-HT integrates expected, or changes in, relevant sensory and emotional internal/external information, leading to vigilance behaviour affecting various decision making processes. 5-HT receptor subtypes play distinctive roles in decision making. 5-HT(2A) agonists and 5-HT2c antagonists decrease compulsivity, whereas 5-HT(2A) antagonists and 5-HT(2C) agonists decrease impulsivity. 5-HT(6) antagonists univocally affect decision making processes. Copyright © 2011 Elsevier Ltd. All rights reserved.
Angarita, H.; Craven, J.; Caggiano, F.; Corzo, G.
An Integrated approach involving extensive stakeholder dialogue is widely advocated in sustainable water management. However, it requires a social learning process in which scientist and stakeholders become aware of the relationship between their own frames of reference and those of others, differences can be dealt with constructively, and shared ideas can be used to facilitate cooperation. Key obstacles in this process are heritage systems, attitudes and processes, factually wrong, incomplete or unshared mental models, and lack of science-policy dialogue (Pahl-Wostl et al., 2005) To overcome these barriers, a space is required which is free of heritage systems, where mental models can be safely and easily compared and corrected, and where scientists and policy-makers can come together. A "serious game" can serve as such a space - Serious games are games or simulations used to achieve an organizational or educational goal, and such games have already been used to facilitate stakeholder cooperation in the water management sector (Rusca et al., 2005). As well as bringing stakeholders together, they can be an accessible interface between scientific models and non-experts. Here we present SimBasin, a multiplayer serious game framework and development engine. The engine allows to easily create a simulated multiplayer basin management game using WEAP water resources modelling software (SEI, 1992-2015), to facilitate the communication of the complex, long term and wide range relationships between hydrologic, climate, and human systems present in river basins, and enable dialogue between policy-makers and scientists. Different games have been created using the Sim-Basin engine and used in various contexts. Here are discussed experiences with stakeholders at a national forum in Bogotá, flood risk management agencies in the lower Magdalena River Basin in Colombia and with water professionals in Bangkok. The experience shows that the game is a useful tool for enabling
Marewski, Julian N.; Gigerenzer, Gerd
Can less information be more helpful when it comes to making medical decisions? Contrary to the common intuition that more information is always better, the use of heuristics can help both physicians and patients to make sound decisions. Heuristics are simple decision strategies that ignore part of the available information, basing decisions on only a few relevant predictors. We discuss: (i) how doctors and patients use heuristics; and (ii) when heuristics outperform information-greedy methods, such as regressions in medical diagnosis. Furthermore, we outline those features of heuristics that make them useful in health care settings. These features include their surprising accuracy, transparency, and wide accessibility, as well as the low costs and little time required to employ them. We close by explaining one of the statistical reasons why heuristics are accurate, and by pointing to psychiatry as one area for future research on heuristics in health care. PMID:22577307
Marewski, Julian N; Gigerenzer, Gerd
Can less information be more helpful when it comes to making medical decisions? Contrary to the common intuition that more information is always better, the use of heuristics can help both physicians and patients to make sound decisions. Heuristics are simple decision strategies that ignore part of the available information, basing decisions on only a few relevant predictors. We discuss: (i) how doctors and patients use heuristics; and (ii) when heuristics outperform information-greedy methods, such as regressions in medical diagnosis. Furthermore, we outline those features of heuristics that make them useful in health care settings. These features include their surprising accuracy, transparency, and wide accessibility, as well as the low costs and little time required to employ them. We close by explaining one of the statistical reasons why heuristics are accurate, and by pointing to psychiatry as one area for future research on heuristics in health care.
Abboudi, Hamid; Ahmed, Kamran; Normahani, Pasha; Abboudi, May; Kirby, Roger; Challacombe, Ben; Khan, Mohammed Shamim; Dasgupta, Prokar
Non-technical skills are important behavioural aspects that a urologist must be fully competent at to minimise harm to patients. The majority of surgical errors are now known to be due to errors in judgment and decision making as opposed to the technical aspects of the craft. The authors reviewed the published literature regarding decision-making theory and in practice related to urology as well as the current tools available to assess decision-making skills. Limitations include limited number of studies, and the available studies are of low quality. Decision making is the psychological process of choosing between alternative courses of action. In the surgical environment, this can often be a complex balance of benefit and risk within a variable time frame and dynamic setting. In recent years, the emphasis of new surgical curriculums has shifted towards non-technical surgical skills; however, the assessment tools in place are far from objective, reliable and valid. Surgical simulators and video-assisted questionnaires are useful methods for appraisal of trainees. Well-designed, robust and validated tools need to be implemented in training and assessment of decision-making skills in urology. Patient safety can only be ensured when safe and effective decisions are made.
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...
Oğuz, Mustafa; Oguz, Mustafa
This thesis presents an analysis of Turkish foreign policy decision making in a theoretical model and argues that Turkish foreign policy is a product of negotiation and compromises among various foreign policy making actors. Theoretical foundation is built on decision units framework advanced by Margaret G. Herman. It applies this framework to two cases and four decision occasions to investigate who made foreign policy decisions and how this influenced foreign policy of Turkey. The first case...
recherche fait ressortir plusieurs facteurs liés au besoin de procéder à la résolution inter-organisationnelle des problèmes pendant toute la durée de...l’événement, et plus particulièrement pendant les phases de préparation et de planification afin de mettre en place ii DRDC CSS CR 2011-33 le...the problem using flexible interpretive frameworks. Collaboration is represented below as a bridge that is made up of organizations that support
Maifeld, Michelle; Hahn, Sandra; Titler, Marita G; Mullen, Meredithe
To identify salient variables that influence decision making regarding multifetal reduction (MFR) and describe their effect on individuals over time. Prospective, exploratory, descriptive design, using qualitative and quantitative methods. Midwestern tertiary care center. A convenience sample of 11 consecutive consenting couples with triplet or higher-order pregnancies who elected to undergo MFR. Semistructured audiotaped telephone interviews at three points: (a) 2 weeks postreduction, (b) 6 weeks postpartum, and (c) 6 months postpartum; a demographic and marital adjustment questionnaire. Themes identified by content analysis and compared via matrix analysis between males and females and at three points in time; trends in marital adjustment. Dominant variables influencing MFR decision making were risks associated with higher-order pregnancies and preservation of infants' and mothers' health. Most participants identified emotional issues, including moral and ethical dilemmas, as the most difficult aspect of reduction. Over time, participants reported feeling more positive about their decision; nonetheless, negative feelings emerged progressively. Risk aversion favored MFR decision making. Yet, both making and living with the decision were emotionally difficult for this sample. Interventions are needed to assist couples with this decision and its consequences.
Holmberg, J.; Pulkkinen, U.
The Technical Research Centre of Finland (VTT) has studied with the Finnish Centre for Radiation and Nuclear Safety (STUK) the applicability of decision analytic approach to the treatment of nuclear safety related problems at the regulatory body. The role of probabilistic safety assessment (PSA) in decision making has also been discussed. In the study, inspectors from STUK exercised with a decision analytic approach by reoperationalizing two occurred and solved problems. The research scientist from VTT acted as systems analysts guiding the analysis process. The first case was related to a common cause failure phenomenon in solenoid valves controlling pneumatic valves important to safety of the plant. The problem of the regulatory body was to judge whether to allow continued operation or to require more detailed inspections and in which time chedule the inspections should be done. The latter problem was to evaluate design changes of external electrical grid connections after a fire incident had revealed weakness in the separation of electrical system. In both cases, the decision analysis was carried out several sessions in which decision makers, technical experts as well as experts of decision analysis participated. A multi-attribute value function was applied as a decision model so that attributes had to be defined to quantify the levels of achievements of the objectives. The attributes included both indicators related to the level of operational safety of the plant such as core damage frequency given by PSA, and indicators related to the safety culture, i.e., how well the chosen option fits on the regulatory policy. (24 refs., 6 figs., 9 tabs.)
Runge, Michael C.; Grand, James B.; Mitchell, Michael S.; Krausman, Paul R.; Cain, James W. III
Wildlife management is a decision-focused discipline. It needs to integrate traditional wildlife science and social science to identify actions that are most likely to achieve the array of desires society has surrounding wildlife populations. Decision science, a vast field with roots in economics, operations research, and psychology, offers a rich set of tools to help wildlife managers frame, decompose, analyze, and synthesize their decisions. The nature of wildlife management as a decision science has been recognized since the inception of the field, but formal methods of decision analysis have been underused. There is tremendous potential for wildlife management to grow further through the use of formal decision analysis. First, the wildlife science and human dimensions of wildlife disciplines can be readily integrated. Second, decisions can become more efficient. Third, decisions makers can communicate more clearly with stakeholders and the public. Fourth, good, intuitive wildlife managers, by explicitly examining how they make decisions, can translate their art into a science that is readily used by the next generation.
Stephanie Ying-Fen Chen
Full Text Available Two experiments investigated how category information is used in decision making under uncertainty and whether the framing of category information influences how it is used. Subjects were presented with vignettes in which the categorization of a critical item was ambiguous and were asked to choose among a set of actions with the goal of attaining the desired outcome for the main character in the story. The normative decision making strategy was to base the decision on all possible categories; however, research on a related topic, category-based induction, has found that people often only consider a single category when making predictions when categorization is uncertain. These experiments found that subjects tend to consider multiple categories when making decisions, but do so both when it is and is not appropriate, suggesting that use of multiple categories is not driven by an understanding of what categories are and are not relevant to the decision. Similarly, although a framing manipulation increased the rate of multiple-category use, it did so in situations in which multiple-category use was and was not appropriate.
Full Text Available One of the leading descriptive theories of decision-making under risk, Tversky & Kahneman's Prospect theory, reveals that normative explanation of decisionmaking, based only on principle of maximizing outcomes expected utility, is unsustainable. It also underlines the effect of alternative factors on decision-making. Framing effect relates to an influence that verbal formulation of outcomes has on choosing between certain and risky outcomes; in negative frame people tend to be risk seeking, whereas in positive frame people express risk averse tendencies. Individual decisions are not based on objective probabilities of outcomes, but on subjective probabilities that depend on outcome desirability. Unrealistically pessimistic subjects assign lower probabilities (than the group average to the desired outcomes, while unrealistically optimistic subjects assign higher probabilities (than the group average to the desired outcomes. Experiment was conducted in order to test the presumption that there's a relation between unrealistic optimism and decision-making under risk. We expected optimists to be risk seeking, and pessimist to be risk averse. We also expected such cognitive tendencies, if they should become manifest, to be framing effect resistant. Unrealistic optimism scale was applied, followed by the questionnaire composed of tasks of decision-making under risk. Results within the whole sample, and results of afterwards extracted groups of pessimists and optimists both revealed dominant risk seeking tendency that is resistant to the influence of subjective probabilities as well as to the influence of frame in which the outcome is presented.
Leatherman, Martha E; Goethe, Katherine E
The goal of this column is to help experienced clinicians navigate the judicial system when they are confronted with requests for capacity evaluations that involve guardianship (conservatorship). The interface between the growing elderly medical population and increasing requests for substituted decision making is becoming more complex. This column will help practicing psychiatrists understand the medical, legal, and societal factors involved in adult guardianship. Such understanding is necessary in order to effectively perform guardianship evaluations and adequately inform courts, patients, and families about the psychiatric diagnoses central to substituted decision making.
SM Turpin; MA Marais
This paper compares a number of theoretical models of decision-making with the way in which senior managers make decisions in practice. Six prominent decision-makers were interviewed about their own decision-making style, as well as their use of decision support technology. Significant variation was found in personal decision-making styles. However, some central themes emerged, such as the importance of sensitivity to the decision-making context, attention to the presentation of information, ...
The Iowa Gambling Task (IGT) measures affective decision making and has revealed decision making impairments across a wide range of eating disorders. This study aimed to investigate affective decision making in severely obese individuals.
Edwards, Ian; Delany, Clare M; Townsend, Anne F; Swisher, Laura Lee
This is the second of 2 companion articles in this issue. The first article explored the clinical and ethical implications of new emphases in physical therapy codes of conduct reflecting the growing evidence regarding the importance of social determinants of health, epidemiological trends for health service delivery, and the enhanced participation of physical therapists in shaping health care reform in a number of international contexts. The first article was theoretically oriented and proposed that a re-thinking of ethical frameworks expressed in codes of ethics could both inform and underpin practical strategies for working in primary health care. A review of the ethical principle of "justice," which, arguably, remains the least consensually understood and developed principle in the ethics literature of physical therapy, was provided, and a more recent perspective-the capability approach to justice-was discussed. The current article proposes a clinical and ethical decision-making framework, the ethical reasoning bridge (ER bridge), which can be used to assist physical therapy practitioners to: (1) understand and implement the capability approach to justice at a clinical level; (2) reflect on and evaluate both the fairness and influence of beliefs, perspectives, and context affecting health and disability through a process of "wide reflective equilibrium" and assist patients to do this as well; and (3) nurture the development of moral agency, in partnership with patients, through a transformative learning process manifest in a mutual "crossing" and "re-crossing" of the ER bridge. It is proposed that the development and exercise of moral agency represent an enacted justice that is the result of a shared reasoning and learning experience on the part of both therapists and patients.
exploration and elaboration of both rational and intuitive decision making processes. In addition, emotions may also play an important role in...More specifically, it suggests that both rational and intuitive decision making processes are likely to play an important role in ethical decision ...and military literature related to ethical decision making more generally. Specifically, it suggests that both rational and intuitive decision making
Nibbelink, Christine W; Brewer, Barbara B
To identify and summarise factors and processes related to registered nurses' patient care decision-making in medical-surgical environments. A secondary goal of this literature review was to determine whether medical-surgical decision-making literature included factors that appeared to be similar to concepts and factors in naturalistic decision making (NDM). Decision-making in acute care nursing requires an evaluation of many complex factors. While decision-making research in acute care nursing is prevalent, errors in decision-making continue to lead to poor patient outcomes. Naturalistic decision making may provide a framework for further exploring decision-making in acute care nursing practice. A better understanding of the literature is needed to guide future research to more effectively support acute care nurse decision-making. PubMed and CINAHL databases were searched, and research meeting criteria was included. Data were identified from all included articles, and themes were developed based on these data. Key findings in this review include nursing experience and associated factors; organisation and unit culture influences on decision-making; education; understanding patient status; situation awareness; and autonomy. Acute care nurses employ a variety of decision-making factors and processes and informally identify experienced nurses to be important resources for decision-making. Incorporation of evidence into acute care nursing practice continues to be a struggle for acute care nurses. This review indicates that naturalistic decision making may be applicable to decision-making nursing research. Experienced nurses bring a broad range of previous patient encounters to their practice influencing their intuitive, unconscious processes which facilitates decision-making. Using naturalistic decision making as a conceptual framework to guide research may help with understanding how to better support less experienced nurses' decision-making for enhanced patient
Kaizer, Franceen; Spiridigliozzi, Anna-Maria; Hunt, Matthew R
To address the risks of aspiration pneumonia, patients with dysphagia may be prescribed a modified diet. The goal of diet modification is to decrease the risk of patients aspirating food due to their diminished swallowing reflex. Some patients may not accept diet modification or may not adhere to the treatments identified by the interdisciplinary team. Such scenarios may result in important moral uncertainty and concern for clinicians. As a result of several ethics consultations related to this issue, a working group of the Clinical Ethics Committee at the Jewish Rehabilitation Hospital in Laval, Quebec, Canada, developed a framework for responding to situations when patients do not adhere to recommended diet modification. The goal of this tool is to facilitate discussion and collaboration between clinicians and patients, to clarify assumed versus real risk, and to promote shared decision-making in dysphagia care. In this article we examine the clinical context of diet modification for patients with dysphagia in rehabilitation hospitals, explore ethical aspects of this topic, present the clinical algorithm, and discuss our experience with developing and piloting this tool.
Read, Martin; Gear, Tony; Minkes, Leonard; Irving, Ann
This paper is concerned with how decision making groups involved in making investment prioritisation decisions involving funding of technology and science projects may be supported by a group decision support system (GDSS). While interested in decision outcomes, the primary focus of this paper is the role of a group support system as an aid to developing shared understanding within a group. The paper develops the conceptual framework of decision-making, communication and group support, and de...
Presented is an outline of a college course, "Education in American Society," that focused on teaching students rational decision-making skills while examining current issues in American Education. The outline is followed by student comments, reactions, and evaluations of the course. (JMD)
This thesis consists of five projects in three topics with a shared theme of understanding cellular decision-making processes with mathematical modeling. In the first topic, we address the possible interaction between bacterial Toxin-Antitoxin (TA) systems and stringent response alarmone guanosin...
de la Rosa, Leonidas Enrique
If our decision-making processes are to some extent shaped by evolutionary pressures and our environment is different from that to which we adapted, some of our choices will not be in our best interest. But revealed preference is the only tool that we have so far to conduct a normative analysis...
Full Text Available Each of us makes a number of decisions, from the less important to those with far-reaching consequences. As members of different groups, we are also actors of group decision making. In order to make a rational decision, a choice-making procedure must satisfy a number of assumptions (conditions of rationality. In addition, when it comes to group decisions, those procedures should also be “fair.” However, it is not possible to define a procedure of choice-making that would transform individual orders of alternatives based on preferences of perfectly rational individuals into a single social order and still meet conditions of rationality and ethics. The theory of deliberative democracy appeared in response to the impossibility of Social Choice theory. The basic assumption of deliberative democracy is that individuals adjust their preferences taking into account interests of the community. They are open for discussion with other group members and are willing to change their attitudes in order to achieve common interests. Ideally, group members come to an agreement during public discussion (deliberation. Still, this concept cannot completely overcome all the difficulties posed by the theory of social choice. Specifically, there is no solution for strategic and manipulative behavior of individuals. Also, the concept of deliberative democracy faces certain problems particular to this approach, such as, to name but a few, problems with the establishment of equality of participants in the debate and their motivation, as well as problems with the organization of public hearings. [Projekat Ministarstva nauke Republike Srbije, br. 47009: Evropske integracije i društveno-ekonomske promene privrede Srbije na putu ka EU i br. 179015: Izazovi i perspektive strukturnih promena u Srbiji: Strateški pravci ekonomskog razvoja i usklađivanje sa zahtevima EU
Hu, Yufeng; Dargush, Gary F.; Shao, Xiaoyun
In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific hospital.The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.
There is a fundamental difference between the acceptability of a civilizatory or societal risk and the acceptability of the decision-making process that leads to a civilizatory or societal risk. The analysis of individual risk decisions - regarding who, executes when which indisputably hazardous, unhealthy or dangerous behaviour under which circumstances - is not helpful in finding solutions for the political decisions at hand in Germany concerning nuclear energy in particular or energy in general. The debt for implementation of any technology, in the sense of making the technology a success in terms of broad acceptance and general utilisation, lies with the particular industry involved. Regardless of the technology, innovation research identifies the implementation phase as most critical to the success of any innovation. In this sense, nuclear technology is at best still an innovation, because the implementation has not yet been completed. Fear and opposition to innovation are ubiquitous. Even the economy - which is often described as 'rational' - is full of this resistance. Innovation has an impact on the pivotal point between stability, the presupposition for the successful execution of decisions already taken and instability, which includes insecurity, but is also necessary for the success of further development. By definition, innovations are beyond our sphere of experience; not at the level of reliability and trust yet to come. Yet they are evaluated via the simplifying heuristics for making decisions proven not only to be necessary and useful, but also accurate in the familiar. The 'settlement of the debt of implementation', the accompanying communication, the decision-making procedures concerning the regulation of averse effects of the technology, but also the tailoring of the new technology or service itself must be directed to appropriate target groups. But the group often aimed at in the nuclear debate, the group, which largely determines political
Contractor was tasked to systematically identify and critically assess scientific literature of relevance to elaborating a theory of ANSA strategic decision...processus décisionnel des AANE et permettra de déterminer quand et comment intervenir afin d’arriver à des résultats plus positifs. Les auteurs ont fait...Jackson 2009) .................................... 13 List of tables Table 1 Theories of decision making
Morrison, Jeffrey G.; Kelly, Richard T.; Moore, Ronald A.; Hutchins, Susan G.
To appear in J. A. Cannon-Bowers & E. Salas (Eds.), Decision Making Under Stress: Implications for Training and Simulation. A prototype decision support system (DSS) was developed to enhance Navy tactical decision making based on naturalistic decision processes. Displays were developed to support critical decision making tasks through recognition-primed and explanation-based reasoning processes, and cognitive analysis was conducted of the decision making problems faced by Navy ...
Parsons, S.; Jennings, N. R.
This paper summarises our on-going work on mixed- initiative decision making which extends both classical decision theory and a symbolic theory of decision making based on argumentation to a multi-agent domain.
Garcia, Luiz Henrique Costa, E-mail: email@example.com [Associacao de Medicina Intensiva Brasileira (AMIB), Sao Paulo, SP (Brazil); Irmandade da Santa Casa de Misericordia de Sao Paulo, SP (Brazil); Ferreira, Bruna Cortez [Hospital de Base de Sao Jose do Rio Preto, SP (Brazil)
The present study was aimed at proposing a systematic evaluation of cranial computed tomography, identifying the main aspects to be analyzed in order to facilitate the decision making process regarding diagnosis and management in emergency settings. The present descriptive study comprised a literature review at the following databases: Access Medicine and Access Emergency Medicine (McGraw-Hill Education); British Medical Journal Evidence Center; UptoDate; Bireme; PubMed; Lilacs; SciELO; ProQuest; Micromedex (Thomson Reuters); Embase. Once the literature review was completed, the authors identified the main diseases with tomographic repercussions and proposed the present system to evaluate cranial computed tomography images. An easy-to-memorize ABC system will facilitate the decision making in emergency settings, as it covers the main diseases encountered by intensivists and emergency physicians, and provides a sequential guidance about anatomical structures to be investigated as well as their respective alterations. (author)
Luiz Henrique Costa Garcia
Full Text Available The present study was aimed at proposing a systematic evaluation of cranial computed tomography, identifying the main aspects to be analyzed in order to facilitate the decision making process regarding diagnosis and management in emergency settings. The present descriptive study comprised a literature review at the following databases: Access Medicine and Access Emergency Medicine (McGraw- Hill Education; British Medical Journal Evidence Center; UptoDate; Bireme; PubMed; Lilacs; SciELO; ProQuest; Micromedex (Thomson Reuters; Embase. Once the literature review was completed, the authors identified the main diseases with tomographic repercussions and proposed the present system to evaluate cranial computed tomography images. An easy-to-memorize ABC system will facilitate the decision making in emergency settings, as it covers the main diseases encountered by intensivists and emergency physicians, and provides a sequential guidance about anatomical structures to be investigated as well as their respective alterations.
Garcia, Luiz Henrique Costa; Ferreira, Bruna Cortez
The present study was aimed at proposing a systematic evaluation of cranial computed tomography, identifying the main aspects to be analyzed in order to facilitate the decision making process regarding diagnosis and management in emergency settings. The present descriptive study comprised a literature review at the following databases: Access Medicine and Access Emergency Medicine (McGraw-Hill Education); British Medical Journal Evidence Center; UptoDate; Bireme; PubMed; Lilacs; SciELO; ProQuest; Micromedex (Thomson Reuters); Embase. Once the literature review was completed, the authors identified the main diseases with tomographic repercussions and proposed the present system to evaluate cranial computed tomography images. An easy-to-memorize ABC system will facilitate the decision making in emergency settings, as it covers the main diseases encountered by intensivists and emergency physicians, and provides a sequential guidance about anatomical structures to be investigated as well as their respective alterations. (author)
and Einhom (1991); Zeelenberg et al. (1997). This environmental context also makes it difficult to associate measured personality traits with specific... Zeelenberg and Beattie5 (1997): People are motivated to minimize post-decision regret. As a result people can become risk averse or risk seeking...188-201), Ablex, Norwood NJ, 1993. 5 Zeelenberg M. and J. Beattie. "Consequences of regret aversion 2: additional evidence for effects of feedback on
R F&aauml;re; S Grosskopf; D Margaritis
In this note we extend the standard DEA paradigm to address the question of how one can price DMUs (decision-making units). To do this we use an adjoint transformation to the technology generated by these DMUs which links to traditional linear programming theory of the firm and is similar to pricing portfolios in financial markets. We also provide a numerical example illustrating the practicality of the proposed method.
The studies in this thesis show that for older cancer patients, tailor-made care should be the standard of care, striking the golden mean between undertreatment and overtreatment and fully taking into account the heterogeneity of this patient population. The comprehensive geriatric assessment will provide valuable information about a patient’s overall health status, but its exact place within the decision-making process still remains to be defined.
Katahira, Kentaro; Fujimura, Tomomi; Okanoya, Kazuo; Okada, Masato
The emotional outcome of a choice affects subsequent decision making. While the relationship between decision making and emotion has attracted attention, studies on emotion and decision making have been independently developed. In this study, we investigated how the emotional valence of pictures, which was stochastically contingent on participants’ choices, influenced subsequent decision making. In contrast to traditional value-based decision-making studies that used money or food as a reward...
Kentaro eKatahira; Kentaro eKatahira; Kentaro eKatahira; Tomomi eFujimura; Tomomi eFujimura; Kazuo eOkanoya; Kazuo eOkanoya; Kazuo eOkanoya; Masato eOkada; Masato eOkada; Masato eOkada
The emotional outcome of a choice affects subsequent decision making. While the relationship between decision making and emotion has attracted attention, studies on emotion and decision making have been independently developed. In this study, we investigated how the emotional valence of pictures, which was stochastically contingent on participants’ choices, influenced subsequent decision making. In contrast to traditional value-based decision-making studies that used money or food as a reward...
Cooper, R.J.; Bissell, P.; Wingfield, J.
Background: Increasing interest in empirical ethics has enhanced understanding of healthcare professionals' ethical problems and attendant decision-making. A four-stage decision-making model involving ethical attention, reasoning, intention and action offers further insights into how more than reasoning alone may contribute to decision-making.\\ud \\ud Aims: To explore how the four-stage model can increase understanding of decision-making in healthcare and describe the decision-making of an und...
Manikas, Konstantinos; Wnuk, Krzysztof; Shollo, Arisa
Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few...... studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision making, and applying actions. We focus on the decision making activity of software ecosystem governance...... and review related literature consisted of software ecosystem governance, organizational decision making, and IT governance. Based on the identified studies, we propose a framework for defining the decision making strategies in the governance of software ecosystems. We identify five decision areas...
Shenoy, Pradeep; Yu, Angela J
An important aspect of cognitive flexibility is inhibitory control, the ability to dynamically modify or cancel planned actions in response to changes in the sensory environment or task demands. We formulate a probabilistic, rational decision-making framework for inhibitory control in the stop signal paradigm. Our model posits that subjects maintain a Bayes-optimal, continually updated representation of sensory inputs, and repeatedly assess the relative value of stopping and going on a fine temporal scale, in order to make an optimal decision on when and whether to go on each trial. We further posit that they implement this continual evaluation with respect to a global objective function capturing the various reward and penalties associated with different behavioral outcomes, such as speed and accuracy, or the relative costs of stop errors and go errors. We demonstrate that our rational decision-making model naturally gives rise to basic behavioral characteristics consistently observed for this paradigm, as well as more subtle effects due to contextual factors such as reward contingencies or motivational factors. Furthermore, we show that the classical race model can be seen as a computationally simpler, perhaps neurally plausible, approximation to optimal decision-making. This conceptual link allows us to predict how the parameters of the race model, such as the stopping latency, should change with task parameters and individual experiences/ability.
Shenoy, Pradeep; Yu, Angela J.
An important aspect of cognitive flexibility is inhibitory control, the ability to dynamically modify or cancel planned actions in response to changes in the sensory environment or task demands. We formulate a probabilistic, rational decision-making framework for inhibitory control in the stop signal paradigm. Our model posits that subjects maintain a Bayes-optimal, continually updated representation of sensory inputs, and repeatedly assess the relative value of stopping and going on a fine temporal scale, in order to make an optimal decision on when and whether to go on each trial. We further posit that they implement this continual evaluation with respect to a global objective function capturing the various reward and penalties associated with different behavioral outcomes, such as speed and accuracy, or the relative costs of stop errors and go errors. We demonstrate that our rational decision-making model naturally gives rise to basic behavioral characteristics consistently observed for this paradigm, as well as more subtle effects due to contextual factors such as reward contingencies or motivational factors. Furthermore, we show that the classical race model can be seen as a computationally simpler, perhaps neurally plausible, approximation to optimal decision-making. This conceptual link allows us to predict how the parameters of the race model, such as the stopping latency, should change with task parameters and individual experiences/ability. PMID:21647306
Full Text Available This paper compares a number of theoretical models of decision-making with the way in which senior managers make decisions in practice. Six prominent decision-makers were interviewed about their own decision-making style, as well as their use of decision support technology. Significant variation was found in personal decision-making styles. However, some central themes emerged, such as the importance of sensitivity to the decision-making context, attention to the presentation of information, and the use of intuition. In terms of the use of decision support technology, the use of self-help tools, such as office software, was clearly favoured.
Full Text Available Background: The decision about whether to start a family within a partnership can be viewed as a result of an interaction process. The influence of each of the partners in a couple differs depending on their individual preferences and intentions towards having children. Both of the partners additionally influence each other's fertility intentions and preferences. Objective: We specify, estimate, and test a model that examines the decision about whether to have a child as a choice that is made jointly by the two partners. The transition to the birth of a (further child is investigated with the explicit consideration of both the female partner and the male partner in the partnership context. Methods: An approach for modelling the interactive influences of the two actors in the decision-making process was proposed. A trivariate distribution consisting of both the female and the male partners' fertility intentions, as well as the joint generative decision, was modelled. A multivariate non-linear probit model was chosen and the problem of identification in estimating the relative effects of the actors was resolved. These parameters were used to assess the relative importance of each of the partners' intentions in the decision. We carried out the analysis with MPLUS. Data from the panel of intimate relationships and family dynamics (pairfam was used to estimate the model. Results: The biographical context of each of the partners in relation to their own as well as to their partner's fertility intentions was found to be of considerable importance. Of the significant individual and partner effects, the male partner was shown to have the greater influence. But the female partner was found to have stronger parameters overall and she ultimately has a veto power in the couple's final decision.
Klinker, JoAnn Franklin; Hoover, J. Duane; Valle, Fernando; Hardin, Fred
Experience in problem-based learning, authentic experiences, on-the-job decision making, and critical reflection on decisions made formed the conceptual framework of an internship to develop democratic leadership as a professional ethic in interns. Interns in an on-the-job guided internship examined decisions over a 13-week period as they…
Shaw, Peter J A
You are faced with so many difficult decisions. Often your decision making seems random. It can be swayed by different situations and emotions. You need to be more rigorous in the way you make decisions and yet you have very little time to do so. Experience from others who have made tough decisions and a framework to help you do so would be invaluable. The courage to make decisions is sometimes a bit elusive. It is difficult to find the calmness to be able to make and live with those decisions. There is so much that can be learned from the experience of others. After working through this boo
Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by...
Otto, Ashley S; Clarkson, Joshua J; Kardes, Frank R
We all too often have to make decisions-from the mundane (e.g., what to eat for breakfast) to the complex (e.g., what to buy a loved one)-and yet there exists a multitude of strategies that allows us to make a decision. This work focuses on a subset of decision strategies that allows individuals to make decisions by bypassing the decision-making process-a phenomenon we term decision sidestepping. Critical to the present manuscript, however, we contend that decision sidestepping stems from the motivation to achieve closure. We link this proposition back to the fundamental nature of closure and how those seeking closure are highly bothered by decision making. As such, we argue that the motivation to achieve closure prompts a reliance on sidestepping strategies (e.g., default bias, choice delegation, status quo bias, inaction inertia, option fixation) to reduce the bothersome nature of decision making. In support of this framework, five experiments demonstrate that (a) those seeking closure are more likely to engage in decision sidestepping, (b) the effect of closure on sidestepping stems from the bothersome nature of decision making, and (c) the reliance on sidestepping results in downstream consequences for subsequent choice. Taken together, these findings offer unique insight into the cognitive motivations stimulating a reliance on decision sidestepping and thus a novel framework by which to understand how individuals make decisions while bypassing the decision-making process. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Jorgensen, Estelle R.
Sketches a conceptual framework for the systematic description of decision-making processes in music education. Refers to existing formulations in education, management, marketing, and economics. Lists decision-making phases in music education, each exhibiting the characteristics of a social system. Offers a historical example of each phase. (AYC)
Montyla, Timo; Still, Johanna; Gullberg, Stina; Del Missier, Fabio
Objectives: This study examined decision-making competence in ADHD by using multiple decision tasks with varying demands on analytic versus affective processes. Methods: Adults with ADHD and healthy controls completed two tasks of analytic decision making, as measured by the Adult Decision-Making Competence (A-DMC) battery, and two affective…
Adida, M; Maurel, M; Kaladjian, A; Fakra, E; Lazerges, P; Da Fonseca, D; Belzeaux, R; Cermolacce, M; Azorin, J-M
Abnormalities involving the prefrontal cortex (PFC) have long been postulated to underpin the pathophysiology of schizophrenia. Investigations of PFC integrity have focused mainly on the dorsolateral PFC (DLPFC) and abnormalities in this region have been extensively documented. However, defects in schizophrenia may extend to other prefrontal regions, including the ventromedial PFC (VMPFC), and evidence of VMPFC abnormalities comes from neuropathological, structural and functional studies. Patients with acquired brain injury to the VMPFC display profound disruption of social behaviour and poor judgment in their personal lives. The Iowa Gambling Task (IGT) was developed to assess decision-making in these neurological cases : it presents a series of 100 choices from four card decks that differ in the distribution of rewarding and punishing outcomes. Whilst healthy volunteers gradually develop a preference for the two "safe" decks over the course of the task, patients with VMPFC lesions maintain a preference for the two "risky" decks which are associated with high reinforcement in the short term, but significant long-term debt. Interestingly, damage to VMPFC may cause both poor performance on the IGT and lack of insight concerning the acquired personality modification. Recently, our group reported a trait-related decisionmaking impairment in the three phases of bipolar disorder. In a PET study, VMPFC dysfunction was shown in bipolar manic patients impaired on a decision-making task and an association between decision-making cognition and lack of insight was described in mania. A quantitative association between grey matter volume of VMPFC and memory impairment was previously reported in schizophrenia. Research suggests that lack of insight is a prevalent feature in schizophrenia patients, like auditory hallucinations, paranoid or bizarre delusions, and disorganized speech and thinking. Because schizophrenia is associated with significant social or occupational
Schwikert, Shane R; Curran, Tim
Heuristics involve the ability to utilize memory to make quick judgments by exploiting fundamental cognitive abilities. In the current study we investigated the memory processes that contribute to the recognition heuristic and the fluency heuristic, which are both presumed to capitalize on the byproducts of memory to make quick decisions. In Experiment 1, we used a city-size comparison task while recording event-related potentials (ERPs) to investigate the potential contributions of familiarity and recollection to the 2 heuristics. ERPs were markedly different for recognition heuristic-based decisions and fluency heuristic-based decisions, suggesting a role for familiarity in the recognition heuristic and recollection in the fluency heuristic. In Experiment 2, we coupled the same city-size comparison task with measures of subjective preexperimental memory for each stimulus in the task. Although previous literature suggests the fluency heuristic relies on recognition speed alone, our results suggest differential contributions of recognition speed and recollected knowledge to these decisions, whereas the recognition heuristic relies on familiarity. Based on these results, we created a new theoretical framework that explains decisions attributed to both heuristics based on the underlying memory associated with the choice options. PsycINFO Database Record (c) 2014 APA, all rights reserved.
Forsythe, J Chris [Sandia Park, NM; Speed, Ann E [Albuquerque, NM; Jordan, Sabina E [Albuquerque, NM; Xavier, Patrick G [Albuquerque, NM
A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.
Bayesian evidence ratios give a very attractive way of comparing models, and being able to quote the odds on a particular model seems a very clear motivation for making a choice. Jeffreys' scale of evidence is often used in the interpretation of evidence ratios. A natural question is, how often will you get it right when you choose on the basis of some threshold value of the evidence ratio? The evidence ratio will be different in different realizations of the data, and its utility can be examined in a Neyman-Pearson like way to see what the trade-offs are between statistical power (the chance of "getting it right") versus the false alarm rate, picking the alternative hypothesis when the null is actually true. I will show some simple examples which show that there can be a surprisingly large range for an evidence ratio under different realizations of the data. It seems best not to simply rely on Jeffrey's scale when decisions have to be taken, but also to examine the probability of taking the "wrong" decision if some evidence ratio is taken to be decisive. Interestingly, Turing knew this and applied it during WWII, although (like much else) he did not publish it.
Flaming, Susan C.
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
Morrison, Jeffrey G.; Kelly, Richard T.; Moore, Ronald A.; Hutchins, Susan G.
A prototype decision support system (DSS) was developed to enhance Navy tactical decision making based on naturalistic decision processes. Displays were developed to support critical decision making tasks through recognition-primed and explanation-based reasoning processes and cognitive analysis of the decision making problems faced by Navy tactical officers in a shipboard Combat Information Center. Baseline testing in high intensity, peace keeping, littoral scenarios indicated...
Dhukaram, Anandhi Vivekanandan; Baber, Chris
Patients make various healthcare decisions on a daily basis. Such day-to-day decision making can have significant consequences on their own health, treatment, care, and costs. While decision aids (DAs) provide effective support in enhancing patient's decision making, to date there have been few studies examining patient's decision making process or exploring how the understanding of such decision processes can aid in extracting requirements for the design of DAs. This paper applies Cognitive Work Analysis (CWA) to analyse patient's decision making in order to inform requirements for supporting self-care decision making. This study uses focus groups to elicit information from elderly cardiovascular disease (CVD) patients concerning a range of decision situations they face on a daily basis. Specifically, the focus groups addressed issues related to the decision making of CVD in terms of medication compliance, pain, diet and exercise. The results of these focus groups are used to develop high level views using CWA. CWA framework decomposes the complex decision making problem to inform three approaches to DA design: one design based on high level requirements; one based on a normative model of decision-making for patients; and the third based on a range of heuristics that patients seem to use. CWA helps in extracting and synthesising decision making from different perspectives: decision processes, work organisation, patient competencies and strategies used in decision making. As decision making can be influenced by human behaviour like skills, rules and knowledge, it is argued that patients require support to different types of decision making. This paper also provides insights for designers in using CWA framework for the design of effective DAs to support patients in self-management. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Søndergaard, Erik Stefan; Ahmed-Kristensen, Saeema
Many engineering companies experience new challenges when globalising product development. Global product development (GPD) is a relatively nascent research area, and previous research reveals the need for decision support frameworks. This research investigates how decisions are made when compani...
Li Hao; Wing Suen
This article reviews recent developments in the theory of committee decision-making. A committee consists of self-interested members who make a public decision by aggregating imperfect information dispersed among them according to a pre-specified decision rule. We focus on costly information acquisition, strategic information aggregation, and rules and processes that enhance the quality of the committee decision. Seeming inefficiencies of the committee decision-making process such as over-cau...
Wolgast, Kelly A
Decision-making is the mainstay of military leadership and command. Due to the changed nature of the current military environment, military commanders can no longer rely solely on the traditional Military Decision-making Process (MDMP...
Harber, Jean R.
The utility of the procedures special educators apply in making decisions about the identification of handicapped individuals has not been thoroughly studied. The paper examines the utility of diagnostic decision making from the perspective of receiver operating curve analysis. (Author)
Garnett, Victoria; Smith, Joanna; Ormandy, Paula
Aim To explore and describe child-parent shared decision making for the management of childhood asthma. Methods A qualitative, descriptive, interview-based study was undertaken. Eight children and nine parents participated. The framework approach underpinned data analysis. Findings A dynamic model of the way children and parents transfer, shift and share asthma management decisions was uncovered. Asthma management decisions between children and parents were non-linear, with responsibility transferring from parent to child under different conditions. Children made a range of decisions about their asthma, often sharing decisions with their parents. However, during acute illness episodes, children often relied on parents to make decisions about their asthma. Conclusion Neither the child nor parent has complete autonomy over asthma management decisions. Decision making is a dynamic, shifting and shared process, dependent on contextual factors and child and parent decision preferences.
White, L.C.; Pothos, E. M.; Busemeyer, J. R.
Organizational decision making is often explored with theories from the heuristics and biases research program, which have demonstrated great value as descriptions of how people in organizations make decisions. Nevertheless, rational analysis and classical probability theory are still seen by many as the best accounts of how decisions should be made and classical probability theory is the preferred framework for cognitive modelling for many researchers. The focus of this work is quantum proba...
Anat Bracha; Donald J. Brown
Affective decision-making is a strategic model of choice under risk and uncertainty where we posit two cognitive processes -- the "rational" and the "emotional" process. Observed choice is the result of equilibrium in this intrapersonal game. As an example, we present applications of affective decision-making in insurance markets, where the risk perceptions of consumers are endogenous. We derive the axiomatic foundation of affective decision making, and show that affective decision making is ...
A decision framework was developed for context-sensitive planning within the roadside ROW in : Michigan. This framework provides a roadside suitability assessment model that may be used to : support integrated decision-making and policy level conside...
Yacoubian, Hagop A.
Scientifically literate citizens must be able to engage in making decisions on science-based social issues. In this paper, I start by showing examples of science curricula and policy documents that capitalise the importance of engaging future citizens in decision-making processes whether at the personal or at the societal levels. I elucidate the ideological underpinnings behind a number of the statements within those documents that have defined the trajectory of scientific literacy and have shaped what ought to be considered as personal and societal benefits. I argue that science curricula and policy documents can truly endorse scientific literacy when they embed principles of democratic education at their core. The latter entails fostering learning experiences where some of the underlying assumptions and political ideologies are brought to the conscious level and future citizens encouraged to reflect upon them critically and explicitly. Such a proposal empowers the future citizens to engage in critical deliberation on science-based social issues without taking the underlying status quo for granted. I end up the paper by situating the preparation of scientifically literate citizens within a framework of democratic education, discuss conditions through which a curriculum for scientific literacy can serve democratic decision-making processes, and provide modest recommendations.
Andersen, Jens Enevold Thaulov
. These discrepancies are very unfortunate because erroneous conclusions may arise from an otherwise meticulous and dedicated effort of research staff. This may eventually lead to unreliable conclusions thus jeopardizing investigations of environmental monitoring, climate changes, food safety, clinical chemistry......It has been long recognized that results of analytical chemistry are not flawless, owing to the fact that professional laboratories and research laboratories analysing the same type of samples by the same type of instruments are likely to obtain significantly different results. The European......, forensics and other fields of science where analytical chemistry is the key instrument of decision making. In order to elucidate the potential origin of the statistical variations found among laboratories, a major program was undertaken including several analytical technologies where the purpose...
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)
Brighouse, Harry; Ladd, Helen F.; Loeb, Susanna; Swift, Adam
This article articulates a framework suitable for use when making decisions about education policy. Decision makers should establish what the feasible options are and evaluate them in terms of their contribution to the development, and distribution, of educational goods in children, balanced against the negative effect of policies on important…
This paper examines the concepts of decision-making, risk analysis, uncertainty and resilience analysis. The relation between risk, vulnerability, and resilience is analyzed. The paper describes how complexity, uncertainty, and ambiguity are the most critical factors in the definition of the approach and criteria for decision-making. Uncertainty in its various forms is what limits our ability to offer definitive answers to questions about the outcomes of alternatives in a decision-making process. It is shown that, although resilience-informed decision-making would seem fundamentally different from risk-informed decision-making, this is not the case as resilience-analysis can be easily incorporated within existing analytic-deliberative decision-making frameworks.
Students must make decisions about their lifestyle, future careers, academic pursuits, and classroom and school issues. Learning to make effective decisions for themselves and for society is an important aspect of competence. They can learn decision making through interacting and solving problems with others. A central ingredient for successful…
include factors such as personality, emotion , and level of expertise, which vary from individual to individual. The process of decision - making during... rational choice theories such as utility theory, to more descriptive psychological models that focus more on the process of decision - making ...descriptive nature, they provide a more realistic representation of human decision - making than the rationally based models. However these models do
Bandyopadhyay, Debarati; Pammi, V S Chandrasekhar; Srinivasan, Narayanan
Emotion plays a major role in influencing our everyday cognitive and behavioral functions, including decision making. We introduce different ways in which emotions are characterized in terms of the way they influence or elicited by decision making. This chapter discusses different theories that have been proposed to explain the role of emotions in judgment and decision making. We also discuss incidental emotional influences, both long-duration influences like mood and short-duration influences by emotional context present prior to or during decision making. We present and discuss results from a study with emotional pictures presented prior to decision making and how that influences both decision processes and postdecision experience as a function of uncertainty. We conclude with a summary of the work on emotions and decision making in the context of decision-making theories and our work on incidental emotions. Copyright © 2013 Elsevier B.V. All rights reserved.
Full Text Available This paper presents some characteristics and dilemmas of collective decision making. Collective decision making could be presented as the process of successive crystallization of dominant alternatives under the influence of different decision contexts from primary given decision potentials. This process is presented as the many-phased process of the acting of contextually dependent “energizing factors” of the collective decision making on the “attractiveness matrix” of outcomes of collective decisions. The attractiveness matrix determines the attractiveness for each alternative of decision, and the most attractive alternative in the given situation presents the rational decision in the given situation. In the final phase of decision making holds a context which gets a simplified attractiveness matrix. It corresponds to the common decision for one of the alternatives.
Effective decision making under time constraints is often overlooked in medical decision making. The recognition primed decision making (RPDM) model was developed by Gary Klein based on previous recognized situations to develop a satisfactory solution to the current problem. Bayes Theorem is the most popular decision making model in medicine but is limited by the need for adequate time to consider all probabilities. Unlike other decision making models, there is a potential neurobiological basis for RPDM. This model has significant implication for health informatics and medical education.
Seidl, C.; Traub, S.
This paper investigates the existence of an editing phase and studies the com- pliance of subjects' behaviour with the most popular multiattribute decision rules. We observed that our data comply well with the existence of an editing phase, at least if we allow for a natural error rate of some 25%.
Electroencephalogy ( EEG ) Feedback In Decision- Making The goal of this project is to investigate whether Electroencephalogy ( EEG ) can provide useful...feedback when training rapid decision-making. More specifically, EEG will allow us to provide online feedback about the neural decision processes...Electroencephalogy ( EEG ) Feedback In Decision-Making Report Title The goal of this project is to investigate whether Electroencephalogy ( EEG ) can provide useful
Full Text Available The main purpose of this study is to explore the relation between decision-making styles which are measured by the General decision-making style (GDMS test and information processing styles which are often termed cognitive styles and are, in this study, measured by Cognitive Style Inventory. The authors directed a survey research on 162 Iranian students. Structural equation modeling techniques were used to measure the impact of cognitive styles on decision-making styles. The authors found that cognitive styles have a positive impact on decision-making styles. In spite of the abundant research on factors that affect decision-making styles, few researches have tested the relationship between cognitive styles and decision-making styles. This study examines the impact of cognitive styles on decision-making styles in Iran. This study, like most research paper studies, cannot easily be generalized. Furthermore, the results of this study could be affected by economic conditions.
Hermans, Caroline M.; Erickson, Jon D.; Erickson, Jon D.; Messner, Frank; Ring, Irene
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.
Hornak, Anne M.; Garza Mitchell, Regina L.
Objective: The objective of this article is to delve more deeply into the thought processes of the key decision makers at community colleges and understand how they make decisions. Specifically, this article focuses on the role of the community college president's personal values in decision making. Method: We conducted interviews with 13…
Beach, Lee Roy; Mitchell, Terence R.
Since the early 1950's the principal prescriptive model in the psychological study of decision making has been maximization of Subjective Expected Utility (SEU). This SEU maximization has come to be regarded as a description of how people go about making decisions. However, while observed decision processes sometimes resemble the SEU model,…
Wolfe, A.K.; Vogt, D.P.; Hwang, Ho-Ling [Oak Ridge National Lab., TN (United States)] [and others
Executive Order 12898, signed on February 11, 1994, broadly states that federal activities, programs, and policies should not produce disproportionately high and adverse impacts on minority and low-income populations. Moreover, the Order indicates that these populations should not be denied the benefits of, or excluded from participation in, these activities, programs, and policies. Because a presidential memorandum accompanying the order said that National Environmental Policy Act (NEPA) documents should begin to address environmental justice immediately, much attention has been paid to assessment-related issues. Also important, a topic that appears to have received relatively little attention, is how decision makers should be expected to use information about environmental justice in their decision making. This paper discusses issues surrounding the use of environmental justice information in the decision-making process by focusing on the following five main topics: (1) the importance, or weight, attached to environmental justice within larger decision-making contexts; (2) the potential tension between localized environmental justice issues and regional or national issues and needs; (3) the use of environmental justice information to develop (perhaps in concert with affected minority and low-income communities) appropriate mitigation strategies, or to establish conditions under which activities, programs, and policies may be accepted locally; (4) the general implications of shifting the distribution of broadly defined risks, costs, and benefits among different population groups; and (5) the implications of implementing environmental justice on an individual, ad hoc basis rather than within a larger environmental justice framework. This paper raises the issues and discusses the implications of alternative approaches to them.
Dobrajska, Magdalena; Billinger, Stephan; Becker, Markus
We report findings from an analysis of 234 firm boundary decisions that a manufacturing firm has made during a 10 year period. Extensive interviews with all major decision makers located both at the headquarters and subsidiaries allow us to examine (a) who was involved in each boundary decision...
van der Linden, Willem J.
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Four basic decision problems are distinguished: (1) selection; (2) mastery; (3) placement; and (4) classification, the situation where each treatment has its own criterion. Each type of decision can be
Patrick, Nicholas J. M.
Our scientific goal is to understand the process of human decision-making. Specifically, a model of human decision-making in piloting modern commercial aircraft which prescribes optimal behavior, and against which we can measure human sub-optimality is sought. This model should help us understand such diverse aspects of piloting as strategic decision-making, and the implicit decisions involved in attention allocation. Our engineering goal is to provide design specifications for (1) better computer-based decision-aids, and (2) better training programs for the human pilot (or human decision-maker, DM).
Decision making in midwifery is a complex process that shapes and underpins clinical practice and determines, to a large extent, the quality of care. Effective decision making and professional accountability are central to clinical governance, and being able.to justify all decisions is a professional and legal requirement. At the same time, there is an emphasis in midwifery on shared decision making, and keeping women at the centre of their care, and research reveals that feelings of choice, control and autonomy are central to a positive birth experience. However the extent to which decisions are really shared and care truly woman-centred is debatable and affected by environment and culture. Using a case study of a decision made in clinical practice around amniotomy, this article explores the role of the intuitive thinking system in midwifery decision making, and highlights the importance of involving women in the decision making process.
Full Text Available In a highly global market, organizations that have the ability to analyze and rapidly respond to the constantly changing marketplace will have the greatest chance of remaining competitive and profitable. Group decision making is the process of arriving at a judgment based upon the feedback of multiple individuals. Due to the importance of the group decision making process, decision making models can be used to establish a systematic means of developing effective group decision making. Once a decision has been made, the members of the group should be willing to accept it and support its implementations.
Kortas, Linda; And Others
The Career Decision Scale, Assessment of Career Decision Making, and Cognitive Differentiation Grid were administered to 598 community college students. Results indicated a relationship between decision-making styles and vocational construct structure. Poorly developed vocational schemas predispose individuals toward dependent and intuitive…
West, Dana R.
Students and their parents/guardians rely on school counselors to provide counseling services based on ethically sound principles. However, there is a lack of empirical evidence about what influences a school counselor's ethical decision making. Ethical decision making for this study was defined as the degree to which decisions pertaining to…
Hagmayer, Y.; Witteman, C.L.M.
Normative causal decision theories argue that people should use their causal knowledge in decision making. Based on these ideas, we argue that causal knowledge and reasoning may support and thereby potentially improve decision making based on expected outcomes, narratives, and even cues. We will
Delegating decision making to those closest to implementation can result in better decisions, more support for improvement initiatives, and increased student performance. Shared decision making depends on capable school leadership, a professional community, instructional guidance mechanisms, knowledge and skills, information sharing, power, and…
Full Text Available of decision support technology. Much variation was found in people’s personal decision-making styles. However, some central themes emerged, such as the importance of sensitivity to the decision-making context, attention to the presentation of information...
Hansen, Claus Thorp; Andreasen, Mogens Myrup
In this paper we present the decision score, which is a model of decision-making seen in the engineering designer's perspective of the design process dynamics, where a decision has multiple objects and where it is based on earlier decisions, prediction of consequences and design process progressi...
Schwartz, Mark W.; Cook, Carly N.; Pressey, Robert L.; Pullin, Andrew S.; Runge, Michael C.; Salafsky, Nick; Sutherland, William J.; Williamson, Matthew A.
The practice of conservation occurs within complex socioecological systems fraught with challenges that require transparent, defensible, and often socially engaged project planning and management. Planning and decision support frameworks are designed to help conservation practitioners increase planning rigor, project accountability, stakeholder participation, transparency in decisions, and learning. We describe and contrast five common frameworks within the context of six fundamental questions (why, who, what, where, when, how) at each of three planning stages of adaptive management (project scoping, operational planning, learning). We demonstrate that decision support frameworks provide varied and extensive tools for conservation planning and management. However, using any framework in isolation risks diminishing potential benefits since no one framework covers the full spectrum of potential conservation planning and decision challenges. We describe two case studies that have effectively deployed tools from across conservation frameworks to improve conservation actions and outcomes. Attention to the critical questions for conservation project planning should allow practitioners to operate within any framework and adapt tools to suit their specific management context. We call on conservation researchers and practitioners to regularly use decision support tools as standard practice for framing both practice and research.
Krishnan, Pandian; Ananthan, Pachampalayam Shanmugam; Purvaja, Ramachandran; Joyson Joe Jeevamani, Jeyapaul; Amali Infantina, John; Srinivasa Rao, Cherukumalli; Anand, Arur; Mahendra, Ranganalli Somashekharappa; Sekar, Iyyapa; Kareemulla, Kalakada; Biswas, Amit; Kalpana Sastry, Regulagedda; Ramesh, Ramachandran
The impacts of climate change are of particular concern to the coastal region of tropical countries like India, which are exposed to cyclones, floods, tsunami, seawater intrusion, etc. Climate-change adaptation presupposes comprehensive assessment of vulnerability status. Studies so far relied either on remote sensing-based spatial mapping of physical vulnerability or on certain socio-economic aspects with limited scope for upscaling or replication. The current study is an attempt to develop a holistic and robust framework to assess the vulnerability of coastal India at different levels. We propose and estimate cumulative vulnerability index (CVI) as a function of exposure, sensitivity and adaptive capacity, at the village level, using nationally comparable and credible datasets. The exposure index (EI) was determined at the village level by decomposing the spatial multi-hazard maps, while sensitivity (SI) and adaptive capacity indices (ACI) were estimated using 23 indicators, covering social and economic aspects. The indicators were identified through the literature review, expert consultations, opinion survey, and were further validated through statistical tests. The socio-economic vulnerability index (SEVI) was constructed as a function of sensitivity and adaptive capacity for planning grassroot-level interventions and adaptation strategies. The framework was piloted in Sindhudurg, a coastal district in Maharashtra, India. It comprises 317 villages, spread across three taluks viz., Devgad, Malvan and Vengurla. The villages in Sindhudurg were ranked based on this multi-criteria approach. Based on CVI values, 92 villages (30%) in Sindhudurg were identified as highly vulnerable. We propose a decision tool for identifying villages vulnerable to changing climate, based on their level of sensitivity and adaptive capacity in a two-dimensional matrix, thus aiding in planning location-specific interventions. Here, vulnerability indicators are classified and designated as
In this thesis, we establish a novel probabilistic framework for the data clustering problem from the perspective of Bayesian decision theory. The Bayesian decision theory view justifies the important questions: what is a cluster and what a clustering algorithm should optimize. We prove that the spectral clustering (to be specific, the…
Brown, Stephen B R E; Ridderinkhof, K Richard
Neuroeconomics refers to a combination of paradigms derived from neuroscience, psychology, and economics for the study of decision making and is an area that has received considerable scientific attention in the recent literature. Using realistic laboratory tasks, researchers seek to study the neurocognitive processes underlying economic decision making and outcome-based decision learning, as well as individual differences in these processes and the social and affective factors that modulate them. To this point, one question has remained largely unanswered: What happens to decision-making processes and their neural substrates during aging? After all, aging is associated with neurocognitive change, which may affect outcome-based decision making. In our study, we use the subjective expected utility model-a well-established decision-making model in economics-as a descriptive framework. After a short survey of the brain areas and neurotransmitter systems associated with outcome-based decision making-and of the effects of aging thereon-we review a number of decision-making studies. Their general data pattern indicates that the decision-making process is changed by age: The elderly perform less efficiently than younger participants, as demonstrated, for instance, by the smaller total rewards that the elderly acquire in lab tasks. These findings are accounted for in terms of age-related deficiencies in the probability and value parameters of the subjective expected utility model. Finally, we discuss some implications and suggestions for future research.
Nesbitt, P; Kennedy, Q; Alt, JK; Fricker, RD; Whitaker, L; Yang, J; Appleget, JA; Huston, J; Patton, S
Approved for public release; distribution is unlimited. This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its devel...
General problems associated with social impacts of radiology and decision making is discussed, as the main topics of the meeting. The problem of population is discussed living in areas contaminates with radioactive substances resulting from a major accident or from pest practices. This situation needs decision making process for initiating actions like relocation, resettlement or large-scale decontamination. The roles of various participants in this decision making process and in the communication with the public are considered. (R.P.)
Abstract Decision making is one of the most important and frequent tasks among managers and employees in an organization. Knowledge about more stable cognitive characteristics underlying decision making styles has been requested. This study aimed to examine the relationship between rational decision making style, cognitive style, self efficacy and locus of control. Possible interaction effects in relation to gender were also analyzed. 186 employees at the Ministry of Defence were surveyed...
The article discuss the limits of both the rational actor and the behavioral paradigms in explaining and guiding innovative decision making and outlines a model of economic decision making that in the course of being 'heuristic' (research and discovery oriented) is also 'rational' (in the broad sense of following correct reasoning and scientific methods, non 'biasing'). The model specifies a set of 'rational heuristics' for innovative decision making, for the various sub-processes of problem ...
Gutierrez-Alcaraz, G.; Sheble, Gerald B.
This paper proposes four decision-making procedures to be employed by electric generating companies as part of their bidding strategies when competing in an oligopolistic market: naive, forward, adaptive, and moving average expectations. Decision-making is formulated in a dynamic framework by using linear control theory. The results reveal that interactions among all GENCOs affect market dynamics. Several numerical examples are reported, and conclusions are presented. (author)
Zhao, Y; Kang, J; Wright, D K
Human modelling is an interdisciplinary research field. The topic, emotion-affected decision making, was originally a cognitive psychology issue, but is now recognized as an important research direction for both computer science and biomedical modelling. The main aim of this paper is to attempt to bridge the gap between psychology and bioengineering in emotion-affected decision making. The work is based on Ortony's theory of emotions and bounded rationality theory, and attempts to connect the emotion process with decision making. A computational emotion model is proposed, and the initial framework of this model in virtual human simulation within the platform of Virtools is presented.
Risk assessment and analysis is connected to the policy framework used in decision-making on issues concerning technological risk. A review of the problems created by different views concerning the fundamental structure of risk concepts is used as a way to describe the structure of risk assessment studies as used in decision-making. The fundamental difference between judgments based on assessments and on perceptions is analyzed in order to explain the dynamics of the decision making process. A proposed effort to study the energy sector as a dynamic endless game implementing a mixed strategy is suggested. (author)
de Jong, Gjalt; Van Vo, Dut; Marek, Philipp
enterprises, highlighting the importance of such intra-firm collaboration. The division of decision-making autonomy is a core issue in the management of headquarters–subsidiary relationships. The main contribution of our paper is that we confront two valid theoretical frameworks – business network theory......We studied an underrepresented area in the international business (IB) literature: the effect of country context distance on the distribution of decision-making autonomy across headquarters and foreign affiliates. Foreign affiliates directly contribute to the competitive advantages of multinational...... approach to the study of subsidiary decision-making autonomy...
Mental health (MH) triage is a specialist area of clinical nursing practice that involves complex decision making. The discussion in this article draws on the findings of a Ph.D. study that involved a statewide investigation of the scope of MH triage nursing practice in Victoria, Australia. Although the original Ph.D. study investigated a number of core practices in MH triage, the focus of the discussion in this article is specifically on the findings related to clinical decision making in MH triage, which have not previously been published. The study employed an exploratory descriptive research design that used mixed data collection methods including a survey questionnaire (n = 139) and semistructured interviews (n = 21). The study findings related to decision making revealed a lack of empirically tested evidence-based decision-making frameworks currently in use to support MH triage nursing practice. MH triage clinicians in Australia rely heavily on clinical experience to underpin decision making and have little of knowledge of theoretical models for practice, such as methodologies for rating urgency. A key recommendation arising from the study is the need to develop evidence-based decision-making frameworks such as clinical guidelines to inform and support MH triage clinical decision making.
Young, J.; Asselin, S.
The Industry Degraded Core (IDCOR) Program was designed to develop a comprehensive, technically sound position on the issues related to potential accidents in light water reactors. One of the goals is to acquire knowledge and data so that a more realistic approach to the problem is possible. Some of the IDCOR tasks develop information in a Probabilistic Risk Assessment (PRA) framework. The PRA approach is structured upon reliability characteristics for individual components, such as pumps, valves and relays, which can be used to predict the frequency of system failures. System failure combinations can then be used to predict the probability of undesirable plant response to given initiating events. The IDCOR PRA tasks provide a significant amount of information related to the response of the plant to severe accidents. This information has been derived in a logical and consistent manner and so provides a coherent and rational basis for decision-making
Qudrat-Ullah, Hassan; Spector, J Michael
The increasingly complex environment of today's world, characterized by technological innovation and global communication, generates myriads of possible and actual interactions while limited physical and intellectual resources severely impinge on decision makers, be it in the public or private domains. At the core of the decision-making process is the need for quality information that allows the decision maker to better assess the impact of decisions in terms of outcomes, nonlinear feedback processes and time delays on the performance of the complex system invoked. This volume is a timely review on the principles underlying complex decision making, the handling of uncertainties in dynamic envrionments and of the various modeling approaches used. The book consists of five parts, each composed of several chapters: I: Complex Decision Making: Concepts, Theories and Empirical Evidence II: Tools and Techniques for Decision Making in Complex Environments and Systems III: System Dynamics and Agent-Based Modeling IV:...
Stiegler, Marjorie Podraza; Tung, Avery
The quality and safety of health care are under increasing scrutiny. Recent studies suggest that medical errors, practice variability, and guideline noncompliance are common, and that cognitive error contributes significantly to delayed or incorrect diagnoses. These observations have increased interest in understanding decision-making psychology.Many nonrational (i.e., not purely based in statistics) cognitive factors influence medical decisions and may lead to error. The most well-studied include heuristics, preferences for certainty, overconfidence, affective (emotional) influences, memory distortions, bias, and social forces such as fairness or blame.Although the extent to which such cognitive processes play a role in anesthesia practice is unknown, anesthesia care frequently requires rapid, complex decisions that are most susceptible to decision errors. This review will examine current theories of human decision behavior, identify effects of nonrational cognitive processes on decision making, describe characteristic anesthesia decisions in this context, and suggest strategies to improve decision making.
Higgins, Paul [American Meteorological Society, Washington, DC (United States)
capital assets each year across the public and private sectors (Orszag 2008; United States Census Bureau 2013). Extreme weather events create and exacerbate risks to these financial investments by contributing to: • Direct physical impacts on the investments themselves • Degradation of critical supporting infrastructure • Changes in the availability of key natural resources • Changes to workforce availability or capacity • Changes in the customer base • Supply chain disruptions • Legal liability • Shifts in the regulatory environment • Reductions in credit ratings Even small changes in weather can impact operations in critical economic sectors. As a result, maximizing returns on financial investments depends on accurately understanding and effectively accounting for these risks. Climate variability and change can either exacerbate existing risks or cause new sources of risk to emerge. Managing these risks most effectively will depend on scientific advances and increases in the capacity of financial decision makers to use the scientific knowledge that results. Barriers to using climate information must also be overcome. This study proposes three predefined levels of certainty for communicating about weather and climate risks: 1) possible (i.e., unknown likelihood or less than 50% chance of occurrence), 2) probable (greater than 50% chance of occurrence), and 3) effectively certain (at least 95% chance of occurrence). For example, it is effectively certain that a change in climate will alter weather patterns. It is probable that climate warming will cause increases in the intensity of some extreme events. It is possible that climate change will cause major and widespread disruptions to key planetary life-support services. Key recommendations of this study: 1) Identify climate-related risks and opportunities for financial decision making. 2) Create a framework to translate scientific information in clear and actionable terms for financial decision makers. 3
Kárný, Miroslav; Wolpert, David
This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selﬁsh decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: • task allocation to maximize “the wisdom of the crowd”; • design of a society of “edutainment” robots who account for one anothers’ emotional states; • recognizing and counteracting seemingly non-rational human decision making; • coping with extreme scale when learning causality in networks; • efﬁciently incorporating expert knowledge in personalized...
Kureychik, V. M.; Safronenkova, I. B.
Uncertainty is an essential part of a decision-making procedure. The paper deals with the problem of decision-making under criteria uncertainty. In this context, decision-making under uncertainty, types and conditions of uncertainty were examined. The decision-making problem under uncertainty was formalized. A modification of the mathematical decision support method under uncertainty via ontologies was proposed. A critical distinction of the developed method is ontology usage as its base elements. The goal of this work is a development of a decision-making method under criteria uncertainty with the use of ontologies in the area of multilayer board designing. This method is oriented to improvement of technical-economic values of the examined domain.
Full Text Available Abstract Background Shared decision-making is not widely implemented in healthcare. We aimed to set a research agenda about promoting shared decision-making through continuing professional development. Methods Thirty-six participants met for two days. Results Participants suggested ways to improve an environmental scan that had inventoried 53 shared decision-making training programs from 14 countries. Their proposed research agenda included reaching an international consensus on shared decision-making competencies and creating a framework for accrediting continuing professional development initiatives in shared decision-making. Conclusions Variability in shared decision-making training programs showcases the need for quality assurance frameworks.
Reduction in prices now makes it possible for almost any institution to use computer graphics for administrative decision making and research. Current and potential uses of computer graphics in these two areas are discussed. (JN)
Dutilh, Gilles; Rieskamp, Jörg
Perceptual and preferential decision making have been studied largely in isolation. Perceptual decisions are considered to be at a non-deliberative cognitive level and have an outside criterion that defines the quality of decisions. Preferential decisions are considered to be at a higher cognitive level and the quality of decisions depend on the decision maker's subjective goals. Besides these crucial differences, both types of decisions also have in common that uncertain information about the choice situation has to be processed before a decision can be made. The present work aims to acknowledge the commonalities of both types of decision making to lay bare the crucial differences. For this aim we examine perceptual and preferential decisions with a novel choice paradigm that uses the identical stimulus material for both types of decisions. This paradigm allows us to model the decisions and response times of both types of decisions with the same sequential sampling model, the drift diffusion model. The results illustrate that the different incentive structure in both types of tasks changes people's behavior so that they process information more efficiently and respond more cautiously in the perceptual as compared to the preferential task. These findings set out a perspective for further integration of perceptual and preferential decision making in a single ramework.
Gerven, M.A.J. van
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesian networks are used as a framework for (dynamic) decision-making under uncertainty and applied to a variety of diagnostic, prognostic, and treatment problems in medicine. It is shown that the proposed
Full Text Available It is not known whether patients with juvenile myoclonic epilepsy (JME differ from healthy people in decision making under risk, i.e., when the decision-making context offers explicit information about options, probabilities, and consequences already from the beginning. In this study, we adopted the Game of Dice Task-Double to investigate decision making under risk in a group of 36 patients with JME (mean age 25.25/SD 5.29 years and a group of 38 healthy controls (mean age 26.03/SD 4.84 years. Participants also underwent a comprehensive neuropsychological assessment focused on frontal executive functions. Significant group differences were found in tests of psychomotor speed and divided attention, with the patients scoring lower than the controls. Importantly, patients made risky decisions more frequently than controls. In the patient group, poor decision making was associated with poor executive control, poor response inhibition, and a short interval since the last seizure episode. Executive control and response inhibition could predict 42% of variance in the frequency of risky decisions. This study indicates that patients with JME with poorer executive functions are more likely to make risky decisions than healthy controls. Decision making under risk is of major importance in every-day life, especially with regard to treatment decisions and adherence to long-term medical therapy. Since even a single disadvantageous decision may have long-lasting consequences, this finding is of high relevance.
Unterberger, Iris; Zamarian, Laura; Prieschl, Manuela; Bergmann, Melanie; Walser, Gerald; Luef, Gerhard; Javor, Andrija; Ransmayr, Gerhard; Delazer, Margarete
It is not known whether patients with juvenile myoclonic epilepsy (JME) differ from healthy people in decision making under risk, i.e., when the decision-making context offers explicit information about options, probabilities, and consequences already from the beginning. In this study, we adopted the Game of Dice Task-Double to investigate decision making under risk in a group of 36 patients with JME (mean age 25.25/SD 5.29 years) and a group of 38 healthy controls (mean age 26.03/SD 4.84 years). Participants also underwent a comprehensive neuropsychological assessment focused on frontal executive functions. Significant group differences were found in tests of psychomotor speed and divided attention, with the patients scoring lower than the controls. Importantly, patients made risky decisions more frequently than controls. In the patient group, poor decision making was associated with poor executive control, poor response inhibition, and a short interval since the last seizure episode. Executive control and response inhibition could predict 42% of variance in the frequency of risky decisions. This study indicates that patients with JME with poorer executive functions are more likely to make risky decisions than healthy controls. Decision making under risk is of major importance in every-day life, especially with regard to treatment decisions and adherence to long-term medical therapy. Since even a single disadvantageous decision may have long-lasting consequences, this finding is of high relevance.
Daniel L. Schmoldt; David L. Peterson
Public land managers must treat multiple values coincidentally in time and space, which requires the participation of multiple resource specialists and consideration of diverse clientele interests in the decision process. This implies decision making that includes multiple participants, both internally and externally. Decades of social science research on decision...
Five types of decision-uncertainty are distinguished: uncertainty of consequences, of values, of demarcation, of reliance, and of co-ordination. Strategies are proposed for each type of uncertainty. The general conclusion is that it is meaningful for decision theory to treat cases with greater uncertainty than the textbook case of 'decision-making under uncertainty'. (au)
Faggion, Clovis Mariano; Pachur, Thorsten; Giannakopoulos, Nikolaos Nikitas
Shared decision-making involves the participation of patient and dental practitioner. Well-informed decision-making requires that both parties understand important concepts that may influence the decision. This fourth article in a series of 4 aims to discuss the importance of patients' values when a clinical decision is made. We report on how to incorporate important concepts for well-informed, shared decision-making. Here, we present patient values as an important issue, in addition to previously established topics such as the risk of bias of a study, cost-effectiveness of treatment approaches, and a comparison of therapeutic benefit with potential side effects. We provide 2 clinical examples and suggestions for a decision tree, based on the available evidence. The information reported in this article may improve the relationship between patient and dental practitioner, resulting in more well-informed clinical decisions. Copyright © 2017 Elsevier Inc. All rights reserved.
Medical decision-making studies continue to focus on two questions: How do physicians make decisions and how should physicians make decisions. Researchers pursuing the first question emphasize human cognitive processes and the programming of symbol systems to model the observed human behaviour. Those researchers concentrating on the second question assume that there is a standard of performance against which physicians' decisions can be judged, and to help the physician improve his performance an array of tools is proposed. These tools include decision trees, Bayesian analysis, decision matrices, receiver operating characteristic (ROC) analysis, and cost-benefit considerations including utility measures. Both questions must be answered in an ethical context where ethics and decision analysis are intertwined. (author)
Israelsen, Poul; Jørgensen, Brian
which distorts the economic effects of modularization at the level of the individual product. This has the implication that decisions on modularization can only be made by top management if decision authority and relevant information are to be aligned. To overcome this problem, we suggest a solution...... that aligns the descriptions of the economic consequences of modularization at the project and portfolio level which makes it possible to decentralize decision making while making sure that local goals are congruent with the global ones in order to avoid suboptimal behaviour. Keywords: Modularization......; Accounting; Cost allocation; Decision rule; Decentralization...
This book offers an in-depth and comprehensive introduction to the priority methods of intuitionistic preference relations, the consistency and consensus improving procedures for intuitionistic preference relations, the approaches to group decision making based on intuitionistic preference relations, the approaches and models for interactive decision making with intuitionistic fuzzy information, and the extended results in interval-valued intuitionistic fuzzy environments.
Zavadskas, Edmundas Kazimieras; Govindan, K.; Antucheviciene, Jurgita
Formal decision-making methods can be used to help improve the overall sustainability of industries and organisations. Recently, there has been a great proliferation of works aggregating sustainability criteria by using diverse multiple criteria decision-making (MCDM) techniques. A number of revi...
Long, Arwen B.; Kuhn, Cynthia M.; Platt, Michael L.
Some people love taking risks, while others avoid gambles at all costs. The neural mechanisms underlying individual variation in preference for risky or certain outcomes, however, remain poorly understood. Although behavioral pathologies associated with compulsive gambling, addiction and other psychiatric disorders implicate deficient serotonin signaling in pathological decision making, there is little experimental evidence demonstrating a link between serotonin and risky decision making, in ...
Feng, Jun; Gong, Jingjing; Huang, Yonghua; Wei, Yazhou; Zhang, Weiwei; Zhang, Yan
Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts, especially in medical decision making. Unfortunately, research is still inconsistent as to how so many variables impact framing effects in medical decision making. Additionally, much attention should be paid to the framing effect not only in hypothetical scenarios but also in clinical experience.
Gong, Jingjing; Zhang, Yan; Feng, Jun; Huang, Yonghua; Wei, Yazhou; Zhang, Weiwei
Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts, especially in medical decision making. Unfortunately, research is still inconsistent as to how so many variables impact framing effects in medical decision making. Additionally, much attention should be paid to the framing effect not only in hypothetical scenarios but also in clinical experience.
Coenen, Frans; Huitema, Dave; Woltjer, Johan
This chapter concerns the impact of public involvement in public decision-making processes as related to household consumption patterns, and the impact on consumer behaviour of active participation.1 The call for participatory decision-making is common in the field of sustainable consumption (Murphy
Yacoubian, Hagop A.
Scientifically literate citizens must be able to engage in making decisions on science-based social issues. In this paper, I start by showing examples of science curricula and policy documents that capitalise the importance of engaging future citizens in decision-making processes whether at the personal or at the societal levels. I elucidate the…
Gong, Jingjing; Zhang, Yan; Feng, Jun; Huang, Yonghua; Wei, Yazhou; Zhang, Weiwei
Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts, especially in medical decision making. Unfortunately, research is still inconsistent as to how so many variables impact framing effects in medical decision making. Additionally, much attention should be paid to the framing effect not only in hypothetical scenarios but also in clinical experience. PMID:27034630
Fuzzy sets and interval analysis tools to make computations and solve optimisation problems are presented. Fuzzy and interval extensions of Decision Theory criteria for decision-making under parametric uncertainty of prior information (probabilities, payoffs) are developed. An interval probability approach to the mean-value criterion is proposed. (author)
Rose, Stephen A.
Computer software that will help intermediate and secondary social studies students learn to make rational decisions about personal and societal concerns are described. The courseware places students in the roles of business managers who make decisions about operating their firms. (RM)
Backus, G.B.C.; Eidman, V.R.; Dijkhuizen, A.A.
Relevant portions of the risk literature are reviewed, relating them to observed behaviour in farm decision-making. Relevant topics for applied agricultural risk research are proposed. The concept of decision making under risk and uncertainty is discussed by reviewing the theory of Subjective
Ismariah Ahmad; Rohana Abd Rahman; Roda Jean-Marc; Lim Hin Fui; Mohd Parid Mamat
Sound decision-making requires quality information. Poor information does not help in decision making. Among the sources of low quality information, an important cause is inadequate and inappropriate sampling. In this paper we illustrate the case of information collected on timber prices.
Brazer, S. David; Rich, William; Ross, Susan A.
Purpose: The dual purpose of this paper is to determine how superintendents in US school districts work with stakeholders in the decision-making process and to learn how different choices superintendents make affect decision outcomes. Design/methodology/approach: This multiple case study of three school districts employs qualitative methodology to…
The problem. Educational leaders face challenges in the 21st century, make numerous decisions daily, and have the choice to make decisions based on ethics. Educational leaders may follow a corporate model regarding expenses and revenues while ignoring the best interests of children and their academic achievement. The alternative to the corporate…
Simon, Herbert A.
Describes the current state of knowledge about human decision-making and problem-solving processes, explaining recent developments and their implications for management and management training. Rational goal-setting is the key to effective decision making and accomplishment. Bounded rationality is a realistic orientation, because the world is too…
Reynolds, Charles H.
Sound ethical decisions depend on clear problem definition, careful review of alternatives, consideration of consequences, and thoughtful application of relevant principles of responsibility. Often they also require a willingness to receive corrective insight and to check judgments with moral intuitions. Higher education has a special…
professionals will be becoming more adept at scripting, modeling, graphical and statistical displays. Decision makers may, similarly, be less likely to shy...elsewhere in this proceedings (Sanchez 2014) simulation can be the core for model-driven big data and inferential decision-making. We need to stake... descriptive , not prescriptive.” In our field, we deal with prospective decision making. We have an advantage in this area: since our output data are
Decision making is traditionally viewed as a rational process where reason calculates the best way to achieve the goal. Investigations from different areas of cognitive science have shown that human decisions and actions are much more influenced by intuition and emotional responses then it was previously thought. In this paper I examine the role of emotion in decision making, particularly Damasio’s hypothesis of somatic markers and Green’s dual process theory of moral judgment. I conclude the...
Common features between the domains of behavioural decision making and suggestional processes are discussed. These features are allocated in two aspects. First, behavioural decision making and suggestional processes are traditionally considered to provoke inadequate human behaviour. In this article arguments are put forward against this interpretation: Actions induced by non-rational decisions and / or by suggestional processes often have adaptive functions. Second, two common themat...
Blakemore, Sarah-Jayne; Robbins, Trevor W
Adolescence is characterized by making risky decisions. Early lesion and neuroimaging studies in adults pointed to the ventromedial prefrontal cortex and related structures as having a key role in decision-making. More recent studies have fractionated decision-making processes into its various components, including the representation of value, response selection (including inter-temporal choice and cognitive control), associative learning, and affective and social aspects. These different aspects of decision-making have been the focus of investigation in recent studies of the adolescent brain. Evidence points to a dissociation between the relatively slow, linear development of impulse control and response inhibition during adolescence versus the nonlinear development of the reward system, which is often hyper-responsive to rewards in adolescence. This suggests that decision-making in adolescence may be particularly modulated by emotion and social factors, for example, when adolescents are with peers or in other affective ('hot') contexts.
This paper suggests incorporating affective considerations into decision making theory and insurance decision in particular. I describe a decision maker with two internal accounts - the rational account and the mental account. The rational account decides on insurance to maximize expected (perceived) utility, while the mental account chooses risk perceptions which then affect the perceived expected utility. The two accounts interact to reach a decision which is composed of both risk perceptio...
Andrei Sergeevich Emelyanov
Full Text Available This article is devoted to an extensive and modern area of scientific knowledge – Decision theory. The author comprehends and analyzes critically the methodological bases of the Decision theory, he thinks, it rejects the most important thing – a human. In the article the reconstruction of historical development in the Decision theory is considered and also existential factors and feelings are discussed, which appear in human being and operate the situation of decision-making.
Full Text Available People often make decisions in a social environment. The present work examines social influence on people's decisions in a sequential decision-making situation. In the first experimental study, we implemented an information cascade paradigm, illustrating that people infer information from decisions of others and use this information to make their own decisions. We followed a cognitive modeling approach to elicit the weight people give to social as compared to private individual information. The proposed social influence model shows that participants overweight their own private information relative to social information, contrary to the normative Bayesian account. In our second study, we embedded the abstract decision problem of Study 1 in a medical decision-making problem. We examined whether in a medical situation people also take others' authority into account in addition to the information that their decisions convey. The social influence model illustrates that people weight social information differentially according to the authority of other decision makers. The influence of authority was strongest when an authority's decision contrasted with private information. Both studies illustrate how the social environment provides sources of information that people integrate differently for their decisions.
Schöbel, Markus; Rieskamp, Jörg; Huber, Rafael
People often make decisions in a social environment. The present work examines social influence on people’s decisions in a sequential decision-making situation. In the first experimental study, we implemented an information cascade paradigm, illustrating that people infer information from decisions of others and use this information to make their own decisions. We followed a cognitive modeling approach to elicit the weight people give to social as compared to private individual information. The proposed social influence model shows that participants overweight their own private information relative to social information, contrary to the normative Bayesian account. In our second study, we embedded the abstract decision problem of Study 1 in a medical decision-making problem. We examined whether in a medical situation people also take others’ authority into account in addition to the information that their decisions convey. The social influence model illustrates that people weight social information differentially according to the authority of other decision makers. The influence of authority was strongest when an authority's decision contrasted with private information. Both studies illustrate how the social environment provides sources of information that people integrate differently for their decisions. PMID:26784448
Schöbel, Markus; Rieskamp, Jörg; Huber, Rafael
People often make decisions in a social environment. The present work examines social influence on people's decisions in a sequential decision-making situation. In the first experimental study, we implemented an information cascade paradigm, illustrating that people infer information from decisions of others and use this information to make their own decisions. We followed a cognitive modeling approach to elicit the weight people give to social as compared to private individual information. The proposed social influence model shows that participants overweight their own private information relative to social information, contrary to the normative Bayesian account. In our second study, we embedded the abstract decision problem of Study 1 in a medical decision-making problem. We examined whether in a medical situation people also take others' authority into account in addition to the information that their decisions convey. The social influence model illustrates that people weight social information differentially according to the authority of other decision makers. The influence of authority was strongest when an authority's decision contrasted with private information. Both studies illustrate how the social environment provides sources of information that people integrate differently for their decisions.
The research reported in this paper aimed to examine the relationships between decisiveness in social relationships, and the decision-making styles of a group of university students and to investigate the contributions of decision-making styles in predicting decisiveness in social relationship (conflict resolution, social relationship selection…
Katahira, Kentaro; Fujimura, Tomomi; Okanoya, Kazuo; Okada, Masato
The emotional outcome of a choice affects subsequent decision making. While the relationship between decision making and emotion has attracted attention, studies on emotion and decision making have been independently developed. In this study, we investigated how the emotional valence of pictures, which was stochastically contingent on participants' choices, influenced subsequent decision making. In contrast to traditional value-based decision-making studies that used money or food as a reward, the "reward value" of the decision outcome, which guided the update of value for each choice, is unknown beforehand. To estimate the reward value of emotional pictures from participants' choice data, we used reinforcement learning models that have successfully been used in previous studies for modeling value-based decision making. Consequently, we found that the estimated reward value was asymmetric between positive and negative pictures. The negative reward value of negative pictures (relative to neutral pictures) was larger in magnitude than the positive reward value of positive pictures. This asymmetry was not observed in valence for an individual picture, which was rated by the participants regarding the emotion experienced upon viewing it. These results suggest that there may be a difference between experienced emotion and the effect of the experienced emotion on subsequent behavior. Our experimental and computational paradigm provides a novel way for quantifying how and what aspects of emotional events affect human behavior. The present study is a first step toward relating a large amount of knowledge in emotion science and in taking computational approaches to value-based decision making.
Boza, Andrés; Ortiz, Angel; Vicens, Eduardo; Poler, Raul
Decision Support System (DSS) tools provide useful information to decision makers. In an Extended Enterprise, a new goal, changes in the current objectives or small changes in the extended enterprise configuration produce a necessary adjustment in its decision system. A DSS in this context must be flexible and agile to make suitable an easy and quickly adaptation to this new context. This paper proposes to extend the Hierarchical Production Planning (HPP) structure to an Extended Enterprise decision making context. In this way, a framework for DSS in Extended Enterprise context is defined using components of HPP. Interoperability details have been reviewed to identify the impact in this framework. The proposed framework allows overcoming some interoperability barriers, identifying and organizing components for a DSS in Extended Enterprise context, and working in the definition of an architecture to be used in the design process of a flexible DSS in Extended Enterprise context which can reuse components for futures Extended Enterprise configurations.
Fortnum, Debbie; Smolonogov, Tatiana; Walker, Rachael; Kairaitis, Luke; Pugh, Debbie
For patients with chronic kidney disease (CKD) who are progressing to end-stage kidney disease (ESKD) a decision of whether to undertake dialysis or conservative care is a critical component of the patient journey. Shared decision making for complex decisions such as this could be enhanced by a decision aid, a practice which is well utilised in other disciplines but limited for nephrology. A multidisciplinary team in Australia and New Zealand (ANZ) utilised current decision-making theory and best practice to develop the 'My Kidneys, My Choice', a decision aid for the treatment of kidney disease. A patient-centred, five-sectioned tool is now complete and freely available to all ANZ units to support the ESKD education and shared decision-making process. Distribution and education have occurred across ANZ and evaluation of the decision aid in practice is in the first phase. Development of a new tool such as an ESKD decision aid requires vision, multidisciplinary input and ongoing implementation resources. This tool is being integrated into ANZ, ESKD education practice and is promoting the philosophy of shared decision making. © 2014 European Dialysis and Transplant Nurses Association/European Renal Care Association.
Hirshleifer, David; Jian, Ming; Zhang, Huai
In Chinese culture, certain digits are lucky and others unlucky. We test how such numerological superstition affects financial decision in the China IPO market. We find that the frequency of lucky numerical stock listing codes exceeds what would be expected by chance. Also consistent with superstition effects, newly listed firms with lucky listing codes are initially traded at a premium after controlling for known determinants of valuation multiples, the lucky number premium dissipates within...
collective foraging (self-propelled interacting particles) within an evolutionary framework, and tools from dynamical systems theory, statistical...position of individuals affects their influence on swarms: A numerical comparison of two popular swarm dynamics models, PLoS ONE, (03 2013): 58525...Individuals Affects Their Influence on Swarms: A Numerical Comparison of Two Popular Swarm Dynamics Models, PLoS ONE, (03 2013): 58525. doi: Ugo Lopez
Rogerson, Mark D; Gottlieb, Michael C; Handelsman, Mitchell M; Knapp, Samuel; Younggren, Jeffrey
Most current ethical decision-making models provide a logical and reasoned process for making ethical judgments, but these models are empirically unproven and rely upon assumptions of rational, conscious, and quasilegal reasoning. Such models predominate despite the fact that many nonrational factors influence ethical thought and behavior, including context, perceptions, relationships, emotions, and heuristics. For example, a large body of behavioral research has demonstrated the importance of automatic intuitive and affective processes in decision making and judgment. These processes profoundly affect human behavior and lead to systematic biases and departures from normative theories of rationality. Their influence represents an important but largely unrecognized component of ethical decision making. We selectively review this work; provide various illustrations; and make recommendations for scientists, trainers, and practitioners to aid them in integrating the understanding of nonrational processes with ethical decision making.
de Folter, Joost; Trusheim, Mark; Jonsson, Pall; Garner, Sarah
Value assessment frameworks have gained prominence recently in the context of U.S. healthcare. Such frameworks set out a series of factors that are considered in funding decisions. The UK's National Institute of Health and Care Excellence (NICE) is an established health technology assessment (HTA) agency. We present a novel application of text analysis that characterizes NICE's Technology Appraisals in the context of the newer assessment frameworks and present the results in a visual way. A total of 243 documents of NICE's medicines guidance from 2007 to 2016 were analyzed. Text analysis was used to identify a hierarchical set of decision factors considered in the assessments. The frequency of decision factors stated in the documents was determined and their association with terms related to uncertainty. The results were incorporated into visual representations of hierarchical factors. We identified 125 decision factors, and hierarchically grouped these into eight domains: Clinical Effectiveness, Cost Effectiveness, Condition, Current Practice, Clinical Need, New Treatment, Studies, and Other Factors. Textual analysis showed all domains appeared consistently in the guidance documents. Many factors were commonly associated with terms relating to uncertainty. A series of visual representations was created. This study reveals the complexity and consistency of NICE's decision-making processes and demonstrates that cost effectiveness is not the only decision-criteria. The study highlights the importance of processes and methodology that can take both quantitative and qualitative information into account. Visualizations can help effectively communicate this complex information during the decision-making process and subsequently to stakeholders.
Cara Okleshen Peters, Ph.D.
Full Text Available This paper highlights the potential of customer decision support systems (CDSS to assist students in education-related decision making. Faculty can use these resources to more effectively advise students on various elements of college life, while students can employ them to more actively participate in their own learning and improve their academic experience. This conceptual paper summarizes consumer decision support systems (CDSS concepts and presents exemplar websites students could utilize to support their education-related decision making. Finally, the authors discuss the potential benefits and drawbacks such resources engender from a student perspective and conclude with directions for future research.
Siegel, Mark D
A large proportion of deaths, particularly in the developed world, follows admission to an ICU. Therefore, end-of life decision making is an essential facet of critical care practice. For intensivists, managing death in the critically ill has become a key professional skill. They must be thoroughly familiar with the ethical framework that guides end-of-life decision making. Decisions should generally be made collaboratively by clinicians partnering with patients' families. Treatment choices should be crafted to meet specific, achievable goals. A rational, empathic approach to working with families should encourage appropriate, mutually satisfactory outcomes.
Rilling, James K; Sanfey, Alan G
Given that we live in highly complex social environments, many of our most important decisions are made in the context of social interactions. Simple but sophisticated tasks from a branch of experimental economics known as game theory have been used to study social decision-making in the laboratory setting, and a variety of neuroscience methods have been used to probe the underlying neural systems. This approach is informing our knowledge of the neural mechanisms that support decisions about trust, reciprocity, altruism, fairness, revenge, social punishment, social norm conformity, social learning, and competition. Neural systems involved in reward and reinforcement, pain and punishment, mentalizing, delaying gratification, and emotion regulation are commonly recruited for social decisions. This review also highlights the role of the prefrontal cortex in prudent social decision-making, at least when social environments are relatively stable. In addition, recent progress has been made in understanding the neural bases of individual variation in social decision-making.
V. V. Nadurak
Full Text Available Purpose of the research is the study of relationship between emotional and rational factors in moral decisions making. Methodology. The work is primarily based on the analysis and synthesis of the main empirical studies of the problem, each of which uses the methods of those sciences in which they were conducted (neurosciences. Originality. In general, the process of moral decision making cannot be described by a single simple model that would see only emotional or rational factor in foundation of this process. Moral decision making is characterized by different types of interaction between emotions and rational considerations. The influence of emotional and rational factors on moral decision is nonlinear: moral decision, which person makes, isn’t proportional to those emotions that preceded it and isn't unambiguously determined by them, because rational reasoning and contextual factors can significantly change it. Similarly, the reasoning that precede the decision is not necessarily reflected in the decision, because it can be significantly corrected by those emotions that accompany it. Conclusions. The process of moral decision making involves complex, heterogeneous interaction between emotional and rational factors. There are three main types of such interaction: first, the reasoning serves to rationalize prior emotional response; second, there are cases when reasoning precedes emotional reactions and determines it; third, interaction between these factors is characterized by cyclic causality (emotion impacts reasoning, which in turn impacts emotions. The influence of emotions or rational reasoning on moral decision is nonlinear.
The decision making environment of an operating nuclear power plant is presented. The organizations involved, their roles and interactions as well as the main influencing factors and decision criteria are described. The focus is on safety-related decisions, and the framework is based on the situation at Loviisa power station. The role of probabilistic safety assessment (PSA) is illustrated with decisions concerning plant modifications, optimization, acceptance of temporary configurations and extended repair times. Suggestions are made for rational and flexible risk-based control of allowed times to operate the plant with some components out of service. (orig.)
Peng, Jiaxi; Zhang, Jiaxi; Sun, Hao; Zeng, Zhicong; Mai, Yuexia; Miao, Danmin
By applying unitive vocabulary, "die" or "save," to respective frames of the Asian disease problem, Tversky and Kahneman were able to define framing effect. In this study, we preliminarily explored the effect of mixed frames, which are characterized by the use of different vocabulary in one frame. In study 1, we found that only the sure option description had significant effect on decision-making, while the effects of risky option descriptions were not significant, nor were interactions between descriptions. In study 2, the results suggested that after controlling the effects of the hedonic tone of the sure options, risky option description did not significantly predict decision-making. In study 3, we found that neither the sure-to-risky option presentation order nor presentation order within risky options had significant effect on decision-making. We thus concluded that sure option description can serve as the decision-making foundation (reference point) for decision-makers in mixed frames.
Approximately 10-15% of our diagnostic decisions are faulty and may lead to unfavorable and dangerous outcomes, which could be avoided. These diagnostic errors are mainly caused by cognitive biases in the diagnostic reasoning process.Our medical diagnostic decision-making is based on intuitive "System 1" and analytical "System 2" diagnostic decision-making and can be deviated by unconscious cognitive biases.These deviations can be positively influenced on a systemic and an individual level. For the individual, metacognition (internal withdrawal from the decision-making process) and debiasing strategies, such as verification, falsification and rule out worst-case scenarios, can lead to improved diagnostic decisions making.
URL des Cahiers :http://mse.univ-paris1.fr/MSEFramCahier2005.htm; Cahiers de la Maison des Sciences Economiques 2005.89 - ISSN : 1624-0340; Since von Neuman and Morgenstern's (1944) contribution to game theory, the expected utility criterion has become the standard functional to evaluate risky prospects. Risky prospects are understood to be lotteries on a set of prizes. In which case a decision maker will receive a precise prize with a given probability. A wide interest on imprecise object ha...
Timmis, James Kenneth; Black, Steven; Rappuoli, Rino
Healthcare decisions, in particular those affecting entire populations, should be evidence-based and taken by decision-makers sharing broad alignment with affected stakeholders. However, criteria, priorities and procedures for decision-making are sometimes non-transparent, frequently vary considerably across equivalent decision-bodies, do not always consider the broader benefits of new health-measures, and therefore do not necessarily adequately represent the relevant stakeholder-spectrum. Areas covered: To address these issues in the context of the evaluation of new vaccines, we have proposed a first baseline set of core evaluation criteria, primarily selected by members of the vaccine research community, and suggested their implementation in vaccine evaluation procedures. In this communication, we review the consequences and utility of stakeholder-centered core considerations to increase transparency in and accountability of decision-making procedures, in general, and of the benefits gained by their inclusion in Multi-Criteria-Decision-Analysis tools, exemplified by SMART Vaccines, specifically. Expert commentary: To increase effectiveness and comparability of health decision outcomes, decision procedures should be properly standardized across equivalent (national) decision bodies. To this end, including stakeholder-centered criteria in decision procedures would significantly increase their transparency and accountability, support international capacity building to improve health, and reduce societal costs and inequity resulting from suboptimal health decision-making.
Allegretti, Joseph G.
This paper provides a framework for making sense of perplexing problems surrounding issues of death and dying by exploring the theological and ethical background to health care decision making at the end of life. The paper first examines several of the basic principles that theologians and secular ethicists employ when analyzing such questions.…
Weisman, C S; Plichta, S; Nathanson, C A; Chase, G A; Ensminger, M E; Robinson, J C
A modified rational decision model incorporating salient events and social influences (particularly from sexual partners) is used to analyze adolescent women's consistent use of oral contraceptives (OCs) over a six-month period. Data are taken from a panel study of 308 clients of an inner-city family planning clinic. Expected OC use was computed for each subject on the basis of subjective expected utility (SEU) theory, and is found in multivariate analyses to be a significant predictor of actual OC use. In addition, variables representing baseline and follow-up partner influences, the salience of pregnancy for the subject, and positive side effects of OCs during the first months of use are found to predict OC use. Partner's support of OC use during follow-up and positive side effects of OCs are found to predict OC use among subjects for whom OC use was not the expected decision according to baseline SEU. Implications of the findings for models of adolescents' contraceptive behavior and for clinicians are discussed.
How a doctor arrives at a decision is of interest to both the developed and the developing countries. The developed and the developing want to walk on the same road but from different directions: one wants to develop a little more and the other wants to develop a little less for cost containment. To justify nuclear medicine in a developing country we have to see nuclear medicine in a new role. It is not for putting the diagnostic labels, not for differential diagnosis as we have been conditioned to think so far. In a developing country it should be for differential management, How does it alter the management decision in respect to a particular patient? If management outcomes are restricted, there is no need for an investigation which does not help in any way the management of the patient. If there is no bypass surgery, what use is the thallium perfusion? Although primarily a diagnostic discipline for its justification and survival in the developing country it should lead to a sensible differential management
Martínez-Tur, Vicente; Peñarroja, Vicente; Serrano, Miguel A; Hidalgo, Vanesa; Moliner, Carolina; Salvador, Alicia; Alacreu-Crespo, Adrián; Gracia, Esther; Molina, Agustín
The literature has been relatively silent about post-conflict processes. However, understanding the way humans deal with post-conflict situations is a challenge in our societies. With this in mind, we focus the present study on the rationality of cooperative decision making after an intergroup conflict, i.e., the extent to which groups take advantage of post-conflict situations to obtain benefits from collaborating with the other group involved in the conflict. Based on dual-process theories of thinking and affect heuristic, we propose that intergroup conflict hinders the rationality of cooperative decision making. We also hypothesize that this rationality improves when groups are involved in an in-group deliberative discussion. Results of a laboratory experiment support the idea that intergroup conflict -associated with indicators of the activation of negative feelings (negative affect state and heart rate)- has a negative effect on the aforementioned rationality over time and on both group and individual decision making. Although intergroup conflict leads to sub-optimal decision making, rationality improves when groups and individuals subjected to intergroup conflict make decisions after an in-group deliberative discussion. Additionally, the increased rationality of the group decision making after the deliberative discussion is transferred to subsequent individual decision making.
Matthies, S; Philipsen, A; Svaldi, J
Risky decision making and disadvantageous choices constitute core characteristics of patients with attention-deficit/hyperactivity disorder (ADHD). Consequences include negative psychosocial and health-related outcomes. However, risky decision making and its interrelations with emotional states in ADHD are poorly understood. Therefore, the authors investigated risky decision making without and after boredom induction in adults with and without ADHD. In study 1, ADHD patients (n = 15) and age/education matched controls (CG; n = 16) were compared on the Game of Dice Task (GDT), an established task measuring decision making in unambiguous situations. In study 2, ADHD patients (n = 14) and CG (n = 13) underwent boredom induction prior to the GDT. In study 1, ADHD patients selected the disadvantageous alternatives significantly more often than CG. In study 2, no significant group differences were found due to an increase in risky decision making in CG following the boredom induction. Even if severity of depression did not affect our results, it may be necessary to compare GDT responses in ADHD patients with and without current depression. Risk as a motor of disadvantageous decision making needs to be taken into account in therapeutic contexts as a maintenance factor of dysfunctional behaviour. The findings of study 2 are in line with postulated alterations of emotional state adjustment in ADHD. The link between decisions making and emotional regulation in ADHD needs further attention in research. Copyright © 2012 Elsevier Ltd. All rights reserved.
Full Text Available The literature has been relatively silent about post-conflict processes. However, understanding the way humans deal with post-conflict situations is a challenge in our societies. With this in mind, we focus the present study on the rationality of cooperative decision making after an intergroup conflict, i.e., the extent to which groups take advantage of post-conflict situations to obtain benefits from collaborating with the other group involved in the conflict. Based on dual-process theories of thinking and affect heuristic, we propose that intergroup conflict hinders the rationality of cooperative decision making. We also hypothesize that this rationality improves when groups are involved in an in-group deliberative discussion. Results of a laboratory experiment support the idea that intergroup conflict -associated with indicators of the activation of negative feelings (negative affect state and heart rate- has a negative effect on the aforementioned rationality over time and on both group and individual decision making. Although intergroup conflict leads to sub-optimal decision making, rationality improves when groups and individuals subjected to intergroup conflict make decisions after an in-group deliberative discussion. Additionally, the increased rationality of the group decision making after the deliberative discussion is transferred to subsequent individual decision making.
Martínez-Tur, Vicente; Peñarroja, Vicente; Serrano, Miguel A.; Hidalgo, Vanesa; Moliner, Carolina; Salvador, Alicia; Alacreu-Crespo, Adrián; Gracia, Esther; Molina, Agustín
The literature has been relatively silent about post-conflict processes. However, understanding the way humans deal with post-conflict situations is a challenge in our societies. With this in mind, we focus the present study on the rationality of cooperative decision making after an intergroup conflict, i.e., the extent to which groups take advantage of post-conflict situations to obtain benefits from collaborating with the other group involved in the conflict. Based on dual-process theories of thinking and affect heuristic, we propose that intergroup conflict hinders the rationality of cooperative decision making. We also hypothesize that this rationality improves when groups are involved in an in-group deliberative discussion. Results of a laboratory experiment support the idea that intergroup conflict –associated with indicators of the activation of negative feelings (negative affect state and heart rate)– has a negative effect on the aforementioned rationality over time and on both group and individual decision making. Although intergroup conflict leads to sub-optimal decision making, rationality improves when groups and individuals subjected to intergroup conflict make decisions after an in-group deliberative discussion. Additionally, the increased rationality of the group decision making after the deliberative discussion is transferred to subsequent individual decision making. PMID:25461384
Yang, Chyan; Wu, Chia-Chun
The purpose of this research is to provide managers of shopping websites information regarding consumer purchasing decisions based on the Consumer Styles Inventory (CSI). According to the CSI, one can capture what decision-making styles online shoppers use. Furthermore, this research also discusses the gender differences among online shoppers. Exploratory factor analysis (EFA) was used to understand the decision-making styles and discriminant analysis was used to distinguish the differences between female and male shoppers. The result shows that there are differences in purchasing decisions between online female and male Internet users.
Kroese, G.J.; Staring, R.H.J.M.
This is a summary of a research into the motives of (bank) robbers and the choices they make. Information is presented on the offender's backgrounds, criminal careers, goals and typology, preparation and way of conduction of the robbery, the escape, opions of robbers, social organization and
Gupta, Rupa; Koscik, Timothy R; Bechara, Antoine; Tranel, Daniel
Decision-making is a complex process that requires the orchestration of multiple neural systems. For example, decision-making is believed to involve areas of the brain involved in emotion (e.g., amygdala, ventromedial prefrontal cortex) and memory (e.g., hippocampus, dorsolateral prefrontal cortex). In this article, we will present findings related to the amygdala's role in decision-making, and differentiate the contributions of the amygdala from those of other structurally and functionally connected neural regions. Decades of research have shown that the amygdala is involved in associating a stimulus with its emotional value. This tradition has been extended in newer work, which has shown that the amygdala is especially important for decision-making, by triggering autonomic responses to emotional stimuli, including monetary reward and punishment. Patients with amygdala damage lack these autonomic responses to reward and punishment, and consequently, cannot utilize "somatic marker" type cues to guide future decision-making. Studies using laboratory decision-making tests have found deficient decision-making in patients with bilateral amygdala damage, which resembles their real-world difficulties with decision-making. Additionally, we have found evidence for an interaction between sex and laterality of amygdala functioning, such that unilateral damage to the right amygdala results in greater deficits in decision-making and social behavior in men, while left amygdala damage seems to be more detrimental for women. We have posited that the amygdala is part of an "impulsive," habit type system that triggers emotional responses to immediate outcomes. Copyright © 2010 Elsevier Ltd. All rights reserved.
Lee, S.D.; Suh, K.Y.; Park, G.C.; Jae, M.
An accident management framework consisting of multiple and sequential decisions is developed and applied to a hydrogen control strategy for a reference plant. The compact influence diagrams including multiple decisions are constructed and evaluated with MAAP4 calculations. Each decision variable, represented by a node in the influence diagrams, has an uncertainty distribution. Using the values from the IPE (Individual Plant Examinations) report for the reference plant (UCN 3 and 4), the hydrogen control and accident management strategies are assessed. In this paper, a problem with two decisions is modeled for a simple illustration of the process involved. One decision is whether or not to actuate igniters at the time of core uncovery. Another decision is whether or not to turn on the containment sprays. We chose a small-break loss-of-coolant accident (LOCA) sequence, which was one of the dominant accident sequences in the reference plant. The framework involves the modeling of the decision problem by using decision-making tools, data analysis, and the MAAP4 calculations. It is shown that the proposed framework with a new measure for assessing hydrogen control is flexible enough to be applied to various accident management strategies. (author)
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
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.
Woodhouse, C. A.; Crimmins, M.; Ferguson, D. B.; Garfin, G. M.; Scott, C. A.
As society is confronted with population growth, limited resources, and the impacts of climate variability and change, it is vital that institutions of higher education promote the development of professionals who can work with decision-makers to incorporate scientific information into environmental planning and management. Skills for the communication of science are essential, but equally important is the ability to understand decision-making contexts and engage with resource managers and policy makers. It is increasingly being recognized that people who understand the linkages between science and decision making are crucial if science is to better support planning and policy. A new graduate-level seminar, "Making the Connection between Environmental Science and Decision Making," is a core course for a new post-baccalaureate certificate program, Connecting Environmental Science and Decision Making at the University of Arizona. The goal of the course is to provide students with a basic understanding of the dynamics between scientists and decision makers that result in scientific information being incorporated into environmental planning, policy, and management decisions. Through readings from the environmental and social sciences, policy, and planning literature, the course explores concepts including scientific information supply and demand, boundary organizations, co-production of knowledge, platforms for engagement, and knowledge networks. Visiting speakers help students understand some of the challenges of incorporating scientific information into planning and decision making within institutional and political contexts. The course also includes practical aspects of two-way communication via written, oral, and graphical presentations as well as through the interview process to facilitate the transfer of scientific information to decision makers as well as to broader audiences. We aspire to help students develop techniques that improve communication and
Moore, Scott Emory; Ulbrich, Holley H; Hepburn, Kenneth; Holaday, Bonnie; Mayo, Rachel; Sharp, Julia; Pruitt, Rosanne H
This article seeks to take the next step in examining the insights that nurses and other healthcare providers can derive from applying behavioral economic concepts to support genomic decision making. As genomic science continues to permeate clinical practice, nurses must continue to adapt practice to meet new challenges. Decisions associated with genomics are often not simple and dichotomous in nature. They can be complex and challenging for all involved. This article offers an introduction to behavioral economics as a possible tool to help support patients', families', and caregivers' decision making related to genomics. Using current writings from nursing, ethics, behavioral economic, and other healthcare scholars, we review key concepts of behavioral economics and discuss their relevance to supporting genomic decision making. Behavioral economic concepts-particularly relativity, deliberation, and choice architecture-are specifically examined as new ways to view the complexities of genomic decision making. Each concept is explored through patient decision making and clinical practice examples. This article also discusses next steps and practice implications for further development of the behavioral economic lens in nursing. Behavioral economics provides valuable insight into the unique nature of genetic decision-making practices. Nurses are often a source of information and support for patients during clinical decision making. This article seeks to offer behavioral economic concepts as a framework for understanding and examining the unique nature of genomic decision making. As genetic and genomic testing become more common in practice, it will continue to grow in importance for nurses to be able to support the autonomous decision making of patients, their families, and caregivers. © 2018 Sigma Theta Tau International.
Rycroft-Malone, Jo; Fontenla, Marina; Seers, Kate; Bick, Debra
To explore how protocol-based care affects clinical decision-making. In the context of evidence-based practice, protocol-based care is a mechanism for facilitating the standardisation of care and streamlining decision-making through rationalising the information with which to make judgements and ultimately decisions. However, whether protocol-based care does, in the reality of practice, standardise decision-making is unknown. This paper reports on a study that explored the impact of protocol-based care on nurses' decision-making. Theoretically informed by realistic evaluation and the promoting action on research implementation in health services framework, a case study design using ethnographic methods was used. Two sites were purposively sampled; a diabetic and endocrine unit and a cardiac medical unit. Within each site, data collection included observation, postobservation semi-structured interviews with staff and patients, field notes, feedback sessions and document review. Data were inductively and thematically analysed. Decisions made by nurses in both sites were varied according to many different and interacting factors. While several standardised care approaches were available for use, in reality, a variety of information sources informed decision-making. The primary approach to knowledge exchange and acquisition was person-to-person; decision-making was a social activity. Rarely were standardised care approaches obviously referred to; nurses described following a mental flowchart, not necessarily linked to a particular guideline or protocol. When standardised care approaches were used, it was reported that they were used flexibly and particularised. While the logic of protocol-based care is algorithmic, in the reality of clinical practice, other sources of information supported nurses' decision-making process. This has significant implications for the political goal of standardisation. The successful implementation and judicious use of tools such as
Karban, Richard; Orrock, John L
Recently plant biologists have documented that plants, like animals, engage in many activities that can be considered as behaviors, although plant biologists currently lack a conceptual framework to understand these processes. Borrowing the well-established framework developed by psychologists, we propose that plant behaviors can be constructively modeled by identifying four distinct components: 1) a cue or stimulus that provides information, 2) a judgment whereby the plant perceives and processes this informative cue, 3) a decision whereby the plant chooses among several options based on their relative costs and benefits, and 4) action. Judgment for plants can be determined empirically by monitoring signaling associated with electrical, calcium, or hormonal fluxes. Decision-making can be evaluated empirically by monitoring gene expression or differential allocation of resources. We provide examples of the utility of this judgment and decision-making framework by considering cases in which plants either successfully or unsuccessfully induced resistance against attacking herbivores. Separating judgment from decision-making suggests new analytical paradigms (i.e., Bayesian methods for judgment and economic utility models for decision-making). Following this framework, we propose an experimental approach to plant behavior that explicitly manipulates the stimuli provided to plants, uses plants that vary in sensory abilities, and examines how environmental context affects plant responses. The concepts and approaches that follow from the judgment and decision-making framework can shape how we study and understand plant-herbivore interactions, biological invasions, plant responses to climate change, and the susceptibility of plants to evolutionary traps. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Full Text Available The relationships between personality and career decision making in undergraduates are analyzed in this work. The hypothesis is that efficient personality is associated with the more mature process of career decision making. For this hypothesis, the Questionnaire of Efficient Personality and the Inventory of Career Factors was administered to 497 students in their final year of undergraduate school. The collected data was put under factorial analysis, analysis of differences of averages, and analysis of variance. The results confirm that an effective personality is tied to career decision making based as much on one´s knowledge of oneself as an understanding of the working world.
Besedeš, Tibor; Deck, Cary; Sarangi, Sudipta; Shor, Mikhael
Using controlled experiments, we examine how individuals make choices when faced with multiple options. Choice tasks are designed to mimic the selection of health insurance, prescription drug, or retirement savings plans. In our experiment, available options can be objectively ranked allowing us to examine optimal decision making. First, the probability of a person selecting the optimal option declines as the number of options increases, with the decline being more pronounced for older subjects. Second, heuristics differ by age with older subjects relying more on suboptimal decision rules. In a heuristics validation experiment, older subjects make worse decisions than younger subjects.
Seyed Mohammad Seyedhosseini
Full Text Available Minimizing the total cost is absolutely the goal of each supply chain, which is most of the time pursued. In this regards, quality related costs that have significant roles are sometimes neglected. Selecting suppliers, which supply relatively high quality raw materials in a lower cost is considered as a strategic decision. Make or Buy decision can be also noticed in supplier selection process. In this paper, the supply strategy: Make or Buy decision (SS: MOB is studied in order to find which strategy (Make or Buy should be chosen to minimize the total costs of supply chain. Therefore, two separate models are generated for each strategy and several examples are solved for the respective models. Computational experiments show the efficiency of the proposed models for making decision about selecting the best strategy.
Few topics in pediatric bioethics are as vexing as decision-making. Decision-making in pediatrics presents challenges for children, parents, and physicians alike. The related, yet distinct, concepts of assent and consent are central to pediatric decision-making. Although informed consent is largely regarded as a worthwhile adult principle, assent has been, and continues to be, mired in debate. Controversial subjects include a meaningful definition of assent; how old children should be to assent; who should be included in the assent process; parental permission; how to resolve disputes between children and their parents; the relationship between assent and consent; the quantity and quality of information to disclose to children and their families; how much and what information children desire and need; the necessity and methods for assessing both children's understanding of disclosed information and of the assent process itself; reconciling ethical and legal attitudes toward assent; and finally, an effective, practical, and realistically applicable decision-making model.
Delmar, M. V.; Sørensen, John Dalsgaard
The target group in this paper is people concerned with mathematical economic decision theory. It is shown how the numerically effective First Order Reliability Methods (FORM) can be used in rational management decision making, where some parameters in the applied decision basis are uncertainty...... quantities. The uncertainties are taken into account consistently and the decision analysis is based on the general decision theory in combination with reliability and optimization theory. Examples are shown where the described technique is used and some general conclusion are stated....
Lu, Jie; Zhang, Guangquan
This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.
He, Guannan; Chen, Qixin; Moutis, Panayiotis; Kar, Soummya; Whitacre, Jay F.
Dispatchable energy storage is necessary to enable renewable-based power systems that have zero or very low carbon emissions. The inherent degradation behaviour of electrochemical energy storage (EES) is a major concern for both EES operational decisions and EES economic assessments. Here, we propose a decision framework that addresses the intertemporal trade-offs in terms of EES degradation by deriving, implementing and optimizing two metrics: the marginal benefit of usage and the average benefit of usage. These metrics are independent of the capital cost of the EES system, and, as such, separate the value of EES use from the initial cost, which provides a different perspective on storage valuation and operation. Our framework is proved to produce the optimal solution for EES life-cycle profit maximization. We show that the proposed framework offers effective ways to assess the economic values of EES, to make investment decisions for various applications and to inform related subsidy policies.
Sandman, Lars; Munthe, Christian
In patient-centred care, shared decision-making is advocated as the preferred form of medical decision-making. Shared decision-making is supported with reference to patient autonomy without abandoning the patient or giving up the possibility of influencing how the patient is benefited. It is, however, not transparent how shared decision-making is related to autonomy and, in effect, what support autonomy can give shared decision-making. In the article, different forms of shared decision-making are analysed in relation to five different aspects of autonomy: (1) self-realisation; (2) preference satisfaction; (3) self-direction; (4) binary autonomy of the person; (5) gradual autonomy of the person. It is argued that both individually and jointly these aspects will support the models called shared rational deliberative patient choice and joint decision as the preferred versions from an autonomy perspective. Acknowledging that both of these models may fail, the professionally driven best interest compromise model is held out as a satisfactory second-best choice.
Kenrick, Douglas T; Griskevicius, Vladas; Sundie, Jill M; Li, Norman P; Li, Yexin Jessica; Neuberg, Steven L
What is a "rational" decision? Economists traditionally viewed rationality as maximizing expected satisfaction. This view has been useful in modeling basic microeconomic concepts, but falls short in accounting for many everyday human decisions. It leaves unanswered why some things reliably make people more satisfied than others, and why people frequently act to make others happy at a cost to themselves. Drawing on an evolutionary perspective, we propose that people make decisions according to a set of principles that may not appear to make sense at the superficial level, but that demonstrate rationality at a deeper evolutionary level. By this, we mean that people use adaptive domain-specific decision-rules that, on average, would have resulted in fitness benefits. Using this framework, we re-examine several economic principles. We suggest that traditional psychological functions governing risk aversion, discounting of future benefits, and budget allocations to multiple goods, for example, vary in predictable ways as a function of the underlying motive of the decision-maker and individual differences linked to evolved life-history strategies. A deep rationality framework not only helps explain why people make the decisions they do, but also inspires multiple directions for future research.
Matthew P. Thompson
Managing wildland fire incidents can be fraught with complexity and uncertainty. Myriad human factors can exert significant influence on incident decision making, and can contribute additional uncertainty regarding programmatic evaluations of wildfire management and attainment of policy goals. This article develops a framework within which human sources of uncertainty...
This study was aimed at discovering what elite coaches perceive to be the critical characteristics of decision-making that distinguish expert players from novices in basketball. A qualitative method of inquiry (the long interview) was followed. The data were gathered during interviews with five elite coaches. A framework to ...
Michl, T.; Taing, S.; Day, M.; Stanton, A.; Welpe, I.M.
Economic decision- making is traditionally based on the assumptions of the predominant existence of Homo economicus (Latin: economic human being). The framework of this theory is known as the Rational Choice Theory (RC Theory). It includes assumptions such as utility maximization, opportunism,
Despite the growing interest of the language testing community in standard setting, primarily due to the use of the Common European Framework of Reference (CEFR-Council of Europe, 2001), the participants' decision-making process in the CEFR standard setting context remains unexplored. This study attempts to fill in this gap by analyzing these…
Remembering, understanding and reconstructing past activities is a necessary part of any learning, sense-making or decision making process. It is also essential for any collaborative activity. This dissertation investigates the design and evaluation of systems to support decision remembering, understanding and reconstruction by groups and individuals. By conducting three qualitative case studies of small professional groups, we identify the critical activities where history functionality is n...
Aalbers, H.L.; Whelan, E.; Parise, S.; Vialle, C.
The article focuses on the organizational decision-making management. Topics mentioned include the development of enterprise social software (ESS), the online corporate communities management, and the project management. Also mentioned are the importance of customer services, the bankruptcy
Van Vo, Dut; Beugelsdijk, Sjoerd; de Jong, Gjalt
This paper investigates how decision-making autonomy affects the possibility and intensity of innovation in subsidiaries of multinational enterprises (MNEs). Subsidiaries are increasingly identified as sources of innovation and as vehicles for cross-border transfer of new competences. The question...... of how much decision-making autonomy subsidiaries should have is a core issue in the management of headquarters-subsidiary relationships. Using two complementary theoretical perspectives, we hypothesize a non-linear relationship between subsidiary’s decision-making autonomy and innovation. We test our...... hypothesis in a multi-country and multiindustry database based on survey evidence of 134 subsidiaries located in five Central and Eastern European countries from 23 home countries. The empirical results provide support for a non-linear U shaped relationship between subsidiary decision-making autonomy...
.... This thesis asserts that Navy inventory managers do not have a general tendency to overbuy items, but rather make rational purchasing decisions influenced and motivated by the environment of rewards...
Hess, Søren; Bjerring, Ole Steen; Pfeiffer, Per
and initial stages. This article outlines the potential use of fluorodeoxyglucose-PET/CT in clinical decision making with special regard to preoperative evaluation and response assessment in gastric cancer (including the gastroesophageal junction), pancreatic cancer (excluding neuroendocrine tumors...
Full Text Available Increasing urbanisation has introduced and exacerbated challenges related to the management of service delivery, resources and hazards. Making informed decisions for a city and its inhabitants is difficult because a city is an extremely complex...
Rosenbloom, Michael H; Schmahmann, Jeremy D; Price, Bruce H
Decision-making is a complex executive function that draws on past experience, present goals, and anticipation of outcome, and which is influenced by prevailing and predicted emotional tone and cultural context. Functional imaging investigations and focal lesion studies identify the orbitofrontal, anterior cingulate, and dorsolateral prefrontal cortices as critical to decision-making. The authors review the connections of these prefrontal regions with the neocortex, limbic system, basal ganglia, and cerebellum, highlight current ideas regarding the cognitive processes of decision-making that these networks subserve, and present a novel integrated neuroanatomical model for decision-making. Finally, clinical relevance of this circuitry is illustrated through a discussion of frontotemporal dementia, traumatic brain injury, and sociopathy.
Bleiler-Baxter, Sarah K.; Stephens, D. Christopher; Baxter, Wesley A.; Barlow, Angela T.
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…
Ursu, Samuel C.
Discussion of legal issues in dental clinical decision making looks at the nature and elements of applicable law, especially malpractice, locus of responsibility, and standards of care. Greater use of formal decision analysis in clinical dentistry and better research on diagnosis and treatment are recommended, particularly in light of increasing…
Rilling, J.K.; King-Casas, B.; Sanfey, A.G.
Humans live in highly complex social environments and some of our most important decisions are made in the context of social interactions. Research that probes the neural basis of decision-making in the context of social interactions combines behavioral paradigms from game theory with a variety of
McNergney, Robert; Hinson, Stephanie
Describes Teacher Development Decision Exercises, a computer-based method of diagnosing abilities of elementary and secondary school supervisors (principals, staff developers, curriculum coordinators) to make professional preactive or planning decisions. This approval simulates assessment of supervisors' abilities to use professional knowledge to…
Rilling, J.K.; Sanfey, A.G.
Given that we live in highly complex social environments, many of our most important decisions are made in the context of social interactions. Simple but sophisticated tasks from a branch of experimental economics known as game theory have been used to study social decision-making in the laboratory
M.J.W. Harmsen - Van Hout (Marjolein); B.G.C. Dellaert (Benedict); P.J.J. Herings (Jean-Jacques)
textabstractNetwork formation among individuals constitutes an important part of many OR processes, but relatively little is known about how individuals make their linking decisions in networks. This article provides an investigation of heuristic effects in individual linking decisions for
Phillips, Susan D.; Strohmer, Douglas C.
Examined the relationship between decision-making style, scholastic achievement, and vocational maturity for college students (N=64). Results did not support the hypothesized relationship between rationality and attitudinal and cognitive maturity. Scholastic achievement and lack of dependent decision style were found to be moderately predictive of…
Full Text Available Scores on the three-item Cognitive Reflection Test (CRT have been linked with dual-system theory and normative decision making (Frederick, 2005. In particular, the CRT is thought to measure monitoring of System 1 intuitions such that, if cognitive reflection is high enough, intuitive errors will be detected and the problem will be solved. However, CRT items also require numeric ability to be answered correctly and it is unclear how much numeric ability vs. cognitive reflection contributes to better decision making. In two studies, CRT responses were used to calculate Cognitive Reflection and numeric ability; a numeracy scale was also administered. Numeric ability, measured on the CRT or the numeracy scale, accounted for the CRT’s ability to predict more normative decisions (a subscale of decision-making competence, incentivized measures of impatient and risk-averse choice, and self-reported financial outcomes; Cognitive Reflection contributed no independent predictive power. Results were similar whether the two abilities were modeled (Study 1 or calculated using proportions (Studies 1 and 2. These findings demonstrate numeric ability as a robust predictor of superior decision making across multiple tasks and outcomes. They also indicate that correlations of decision performance with the CRT are insufficient evidence to implicate overriding intuitions in the decision-making biases and outcomes we examined. Numeric ability appears to be the key mechanism instead.
Sinayev, Aleksandr; Peters, Ellen
Scores on the three-item Cognitive Reflection Test (CRT) have been linked with dual-system theory and normative decision making (Frederick, 2005). In particular, the CRT is thought to measure monitoring of System 1 intuitions such that, if cognitive reflection is high enough, intuitive errors will be detected and the problem will be solved. However, CRT items also require numeric ability to be answered correctly and it is unclear how much numeric ability vs. cognitive reflection contributes to better decision making. In two studies, CRT responses were used to calculate Cognitive Reflection and numeric ability; a numeracy scale was also administered. Numeric ability, measured on the CRT or the numeracy scale, accounted for the CRT's ability to predict more normative decisions (a subscale of decision-making competence, incentivized measures of impatient and risk-averse choice, and self-reported financial outcomes); Cognitive Reflection contributed no independent predictive power. Results were similar whether the two abilities were modeled (Study 1) or calculated using proportions (Studies 1 and 2). These findings demonstrate numeric ability as a robust predictor of superior decision making across multiple tasks and outcomes. They also indicate that correlations of decision performance with the CRT are insufficient evidence to implicate overriding intuitions in the decision-making biases and outcomes we examined. Numeric ability appears to be the key mechanism instead.
Santos, Eugene; Nguyen, Hien; Russell, Jacob; Kim, Keumjoo; Veenhuis, Luke; Boparai, Ramnjit; Stautland, Thomas Kristoffer
A Commander's decision making style represents how he weighs his choices and evaluates possible solutions with regards to his goals. Specifically, in the naval warfare domain, it relates the way he processes a large amount of information in dynamic, uncertain environments, allocates resources, and chooses appropriate actions to pursue. In this paper, we describe an approach to capture a Commander's decision style by creating a cognitive model that captures his decisionmaking process and evaluate this model using a set of scenarios using an online naval warfare simulation game. In this model, we use the Commander's past behaviors and generalize Commander's actions across multiple problems and multiple decision making sequences in order to recommend actions to a Commander in a manner that he may have taken. Our approach builds upon the Double Transition Model to represent the Commander's focus and beliefs to estimate his cognitive state. Each cognitive state reflects a stage in a Commander's decision making process, each action reflects the tasks that he has taken to move himself closer to a final decision, and the reward reflects how close he is to achieving his goal. We then use inverse reinforcement learning to compute a reward for each of the Commander's actions. These rewards and cognitive states are used to compare between different styles of decision making. We construct a set of scenarios in the game where rational, intuitive and spontaneous decision making styles will be evaluated.
The presented paper is a presentation of final results of research led throughout past years on a group of Polish and international SME’s. The essential aim was the elaboration of a decision – making model including both qualitative and quantitative factors that influence decision – making processes. Most focus has been put on geopolitical determinants of international companies’ development. In order to narrow the research field, a further limitation has been made in the type of undertaken s...
Pristed Nielsen, Helene
Based on theories of public sphere participation and deliberative democracy, this book presents empirical results from a study of experiences with including Aboriginal and Maori groups in political decision-making in respectively Western Australia and New Zealand......Based on theories of public sphere participation and deliberative democracy, this book presents empirical results from a study of experiences with including Aboriginal and Maori groups in political decision-making in respectively Western Australia and New Zealand...
V. V. Nadurak
Purpose of the research is the study of relationship between emotional and rational factors in moral decisions making. Methodology. The work is primarily based on the analysis and synthesis of the main empirical studies of the problem, each of which uses the methods of those sciences in which they were conducted (neurosciences). Originality. In general, the process of moral decision making cannot be described by a single simple model that would see only emotional or rational factor in foundat...
The topic of this thesis is about moral decision-making, and the main objective of this study is to research the moral decision-making of Chinese business managers based on the analysis of data. The study adopts systematic literature of qualitative research method and is constructed by means of qualitative analysis of 64 data articles. The 64 data articles are the journals from the Database of Chinese Academic Journals, Journal of Business Ethics and other leading business journals from the y...
Madsen, Henrik; Albeanu, Grigore; Burtschy, Bernard
Decision making addresses the usage of various methods to select "the best", in some way, alternative strategy (from many available) when a problem is given for solving. The authors propose the usage of neutrosophic way of thinking, called also Smarandache's logic, to select a model by experts when...... degrees of trustability, ultrastability (falsehood), and indeterminacy are used to decide. The procedures deal with multi-attribute neutrosophic decision making and a case study on e-learning software objects is presented....
Marcel Zeelenberg; Rob M. A. Nelissen; Seger M. Breugelmans; Rik Pieters
We present a motivational account of the impact of emotion on decision making, termed the feeling-is-for-doing approach. We first describe the psychology of emotion and argue for a need to be specific when studying emotion's impact on decision making. Next we describe what our approach entails and how it relates emotion, via motivation to behavior. Then we offer two illustrations of our own research that provide support for two important elements in our reasoning. We end with specifying four ...
At Darlington Nuclear aggregate assessment of plant conditions is carried out in support of Operational Decision Making. This paper discusses how aggregate assessments have been applied to Operator Workarounds leading to improved prioritisation and alignment of work programs in different departments. As well, aggregate assessment of plant and human performance factors has been carried out to identify criteria which support conservative decision making in the main control room during unit transients. (author)
Govind, K.; Amalor, D.
The present study is an attempt to study the relationship of Study Orientation (Study Habits and Attitudes) with decision making styles among higher secondary students. Survey of Study Habits and Attitudes (SSHA) developed by Brown and Holtzman (1967) and Flinders Decision Making Questionnaires I and II (DMQ-I and DMQ-II) developed by Mann (1982) were used to collect data. As large as 148 Higher Secondary Students pursuing the first year study of Higher Secondary Course (HSC) participated in ...
Aim The aim of this study is to develop an understanding of the factors which influence veterinary surgeons’ clinical decision making during routine consultations. Methods The research takes a qualitative approach using video-cued interviews, in which one of the veterinary surgeon’s own consultations is used as the basis of a semi-structured interview exploring decision making in real cases. The research focuses primarily on small animal consultations in first opinion practice, how...
Broche-Pérez, Y; Herrera Jiménez, L F; Omar-Martínez, E
Decision-making is the process of selecting a course of action from among 2 or more alternatives by considering the potential outcomes of selecting each option and estimating its consequences in the short, medium and long term. The prefrontal cortex (PFC) has traditionally been considered the key neural structure in decision-making process. However, new studies support the hypothesis that describes a complex neural network including both cortical and subcortical structures. The aim of this review is to summarise evidence on the anatomical structures underlying the decision-making process, considering new findings that support the existence of a complex neural network that gives rise to this complex neuropsychological process. Current evidence shows that the cortical structures involved in decision-making include the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), and dorsolateral prefrontal cortex (DLPFC). This process is assisted by subcortical structures including the amygdala, thalamus, and cerebellum. Findings to date show that both cortical and subcortical brain regions contribute to the decision-making process. The neural basis of decision-making is a complex neural network of cortico-cortical and cortico-subcortical connections which includes subareas of the PFC, limbic structures, and the cerebellum. Copyright © 2014 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.
Rennie, Sarah C; van Rij, Andre M; Jaye, Chrystal; Hall, Katherine H
Decision making is a key competency of surgeons; however, how best to assess decisions and decision makers is not clearly established. The aim of the present study was to identify criteria that inform judgments about surgical trainees' decision-making skills. A qualitative free text web-based survey was distributed to recognized international experts in Surgery, Medical Education, and Cognitive Research. Half the participants were asked to identify features of good decisions, characteristics of good decision makers, and essential factors for developing good decision-making skills. The other half were asked to consider these areas in relation to poor decision making. Template analysis of free text responses was performed. Twenty-nine (52%) experts responded to the survey, identifying 13 categories for judging a decision and 14 for judging a decision maker. Twelve features/characteristics overlapped (considered, informed, well timed, aware of limitations, communicated, knowledgeable, collaborative, patient-focused, flexible, able to act on the decision, evidence-based, and coherent). Fifteen categories were generated for essential factors leading to development of decision-making skills that fall into three major themes (personal qualities, training, and culture). The categories compiled from the perspectives of good/poor were predominantly the inverse of each other; however, the weighting given to some categories varied. This study provides criteria described by experts when considering surgical decisions, decision makers, and development of decision-making skills. It proposes a working definition of a good decision maker. Understanding these criteria will enable clinical teachers to better recognize and encourage good decision-making skills and identify poor decision-making skills for remediation.
Gati, Itamar; Landman, Shiri; Davidovitch, Shlomit; Asulin-Peretz, Lisa; Gadassi, Reuma
Previous research on individual differences in career decision-making processes has often focused on classifying individuals into a few types of decision-making "styles" based on the most dominant trait or characteristic of their approach to the decision process (e.g., rational, intuitive, dependent; Harren, 1979). In this research, an…
Gettings, M. E.
variables such as water use, environmental quality measures (visual and geochemical), deposit quality, rate of development, and commodity price combine in complex ways to yield frequently counter-intuitive results. By varying the interaction strengths linking the variables, insight into the complex interactions of the system can be gained. An example using agent-based modeling is a model designed to test the hypothesis that new valley fever fungus sites could be established from existing sites by wind transport of fungal spores. The variables include layers simulating precipitation, temperature, soil moisture, and soil chemistry based on historical climate records and studies of known valley fever habitat. Numerous agent-based model runs show that the system is self organizing to the extent that there will be new sites established by wind transport over decadal scales. Possibility theory provides a framework for gaining insight into the interaction of known or suspected variables in a complex system. Once the data layers are quantified into possibility functions, varying hypotheses of the relative importance of variables and processes can be obtained by repeated combinations with varying weights. This permits an evaluation of the effects of various data layers, their uncertainties, and biases from the layers, all of which improve the objectivity of decision making.
Examples of patients with anorexia nervosa, depression or borderline personality disorder who have decision-making capacity as currently operationalized, but refuse treatment, are discussed. It appears counterintuitive to respect their treatment refusal because their wish seems to be fuelled by their illness and the consequences of their refusal of treatment are severe. Some proposed solutions have focused on broadening the criteria for decision-making capacity, either in general or for specific patient groups, but these adjustments might discriminate against particular groups of patients and render the process less transparent. Other solutions focus on preferences expressed when patients are not ill, but this information is often not available. The reason for such difficulties with assessing decision-making capacity is that the underlying psychological processes of normal decision-making are not well known and one cannot differentiate between unwise decisions caused by an illness or other factors. The proposed alternative, set out in this paper, is to allow compulsory treatment of patients with decision-making capacity in cases of an emergency, if the refusal is potentially life threatening, but only for a time-limited period. The argument is also made for investigating hindsight agreement, in particular after compulsory measures.
Johansson, Mats; Broström, Linus
Incompetent patients need to have someone else make decisions on their behalf. According to the Substituted Judgment Standard the surrogate decision maker ought to make the decision that the patient would have made, had he or she been competent. Objections have been raised against this traditional construal of the standard on the grounds that it involves flawed counterfactual reasoning, and amendments have been suggested within the framework of possible worlds semantics. The paper shows that while this approach may circumvent the alleged problem, the way it has so far been elaborated reflects insufficient understanding of the moral underpinnings of the idea of substituted judgment. Proper recognition of these moral underpinnings has potentially far-reaching implications for our normative assumptions about accuracy and objectivity in surrogate decision making.
While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the