WorldWideScience

Sample records for technology investment decisions

  1. Delaying investments in sensor technology: The rationality of dairy farmers' investment decisions illustrated within the framework of real options theory.

    Science.gov (United States)

    Rutten, C J; Steeneveld, W; Oude Lansink, A G J M; Hogeveen, H

    2018-05-02

    The adoption rate of sensors on dairy farms varies widely. Whereas some sensors are hardly adopted, others are adopted by many farmers. A potential rational explanation for the difference in adoption may be the expected future technological progress in the sensor technology and expected future improved decision support possibilities. For some sensors not much progress can be expected because the technology has already made enormous progress in recent years, whereas for sensors that have only recently been introduced on the market, much progress can be expected. The adoption of sensors may thus be partly explained by uncertainty about the investment decision, in which uncertainty lays in the future performance of the sensors and uncertainty about whether improved informed decision support will become available. The overall aim was to offer a plausible example of why a sensor may not be adopted now. To explain this, the role of uncertainty about technological progress in the investment decision was illustrated for highly adopted sensors (automated estrus detection) and hardly adopted sensors (automated body condition score). This theoretical illustration uses the real options theory, which accounts for the role of uncertainty in the timing of investment decisions. A discrete event model, simulating a farm of 100 dairy cows, was developed to estimate the net present value (NPV) of investing now and investing in 5 yr in both sensor systems. The results show that investing now in automated estrus detection resulted in a higher NPV than investing 5 yr from now, whereas for the automated body condition score postponing the investment resulted in a higher NPV compared with investing now. These results are in line with the observation that farmers postpone investments in sensors. Also, the current high adoption of automated estrus detection sensors can be explained because the NPV of investing now is higher than the NPV of investing in 5 yr. The results confirm that

  2. Energy Technology Investments: Maximizing Efficiency Through a Maritime Energy Portfolio Interface and Decision Aid

    Science.gov (United States)

    2012-02-09

    Investment (ROI) and Break Even Point ( BEP ). These metrics are essential for determining whether an initiative would be worth pursuing. Balanced...is Unlimited Energy Decision Framework Identify Inefficiencies 2. Perform Analyses 3. Examine Technology Candidates 1. Improve Energy...Unlimited Energy Decision Framework Identify Inefficiencies 2. Perform Analyses 3. Examine Technology Candidates 1. Improve Energy Efficiency 4

  3. Analysis on Dynamic Decision-Making Model of the Enterprise Technological Innovation Investment under Uncertain Environment

    Directory of Open Access Journals (Sweden)

    Yong Long

    2012-01-01

    Full Text Available Under the environment of fuzzy factors including the return of market, performance of product, and the demanding level of market, we use the method of dynamic programming and establish the model of investment decision, in technology innovation project of enterprise, based on the dynamic programming. Analysis of the influence caused by the changes of fuzzy uncertainty factors to technological innovation project investment of enterprise.

  4. Decision Analysis Methods Used to Make Appropriate Investments in Human Exploration Capabilities and Technologies

    Science.gov (United States)

    Williams-Byrd, Julie; Arney, Dale C.; Hay, Jason; Reeves, John D.; Craig, Douglas

    2016-01-01

    NASA is transforming human spaceflight. The Agency is shifting from an exploration-based program with human activities in low Earth orbit (LEO) and targeted robotic missions in deep space to a more sustainable and integrated pioneering approach. Through pioneering, NASA seeks to address national goals to develop the capacity for people to work, learn, operate, live, and thrive safely beyond Earth for extended periods of time. However, pioneering space involves daunting technical challenges of transportation, maintaining health, and enabling crew productivity for long durations in remote, hostile, and alien environments. Prudent investments in capability and technology developments, based on mission need, are critical for enabling a campaign of human exploration missions. There are a wide variety of capabilities and technologies that could enable these missions, so it is a major challenge for NASA's Human Exploration and Operations Mission Directorate (HEOMD) to make knowledgeable portfolio decisions. It is critical for this pioneering initiative that these investment decisions are informed with a prioritization process that is robust and defensible. It is NASA's role to invest in targeted technologies and capabilities that would enable exploration missions even though specific requirements have not been identified. To inform these investments decisions, NASA's HEOMD has supported a variety of analysis activities that prioritize capabilities and technologies. These activities are often based on input from subject matter experts within the NASA community who understand the technical challenges of enabling human exploration missions. This paper will review a variety of processes and methods that NASA has used to prioritize and rank capabilities and technologies applicable to human space exploration. The paper will show the similarities in the various processes and showcase instances were customer specified priorities force modifications to the process. Specifically

  5. Life support technology investment strategies for flight programs: An application of decision analysis

    Science.gov (United States)

    Schlater, Nelson J.; Simonds, Charles H.; Ballin, Mark G.

    1993-01-01

    Applied research and technology development (R&TD) is often characterized by uncertainty, risk, and significant delays before tangible returns are obtained. Given the increased awareness of limitations in resources, effective R&TD today needs a method for up-front assessment of competing technologies to help guide technology investment decisions. Such an assessment approach must account for uncertainties in system performance parameters, mission requirements and architectures, and internal and external events influencing a development program. The methodology known as decision analysis has the potential to address these issues. It was evaluated by performing a case study assessment of alternative carbon dioxide removal technologies for NASA's proposed First Lunar Outpost program. An approach was developed that accounts for the uncertainties in each technology's cost and performance parameters as well as programmatic uncertainties such as mission architecture. Life cycle cost savings relative to a baseline, adjusted for the cost of money, was used as a figure of merit to evaluate each of the alternative carbon dioxide removal technology candidates. The methodology was found to provide a consistent decision-making strategy for development of new life support technology. The case study results provided insight that was not possible from more traditional analysis approaches.

  6. Understanding Information Technology Investment Decision-Making in the Context of Hotel Global Distribution Systems: a Multiple-Case Study

    OpenAIRE

    Connolly, Daniel J.

    1999-01-01

    UNDERSTANDING INFORMATION TECHNOLOGY INVESTMENT DECISION-MAKING IN THE CONTEXT OF HOTEL GLOBAL DISTRIBUTION SYSTEMS: A MULTIPLE-CASE STUDY by Daniel J. Connolly Dr. Michael D. Olsen, Chair Department of Hospitality and Tourism Management ABSTRACT This study investigates what three large, multinational hospitality companies do in practice when evaluating and making IT investment decisions. This study was launched in an attempt to 1) learn more about ...

  7. Firm Decisions: Determinants of Investments

    OpenAIRE

    Ionescu Alexandra

    2011-01-01

    The investment decision is part of a companies’ investment strategy. Defined as a logical set of technical and economic information, the investment strategy determines the main objectives of the firm regarding its investments, based on studies, analysis and simulations. It also establishes the actions to be undertaken in order to achieve the objectives, methods of achieving them, sources of funding and resource allocation methods. Still, all these are influenced by several factors. The invest...

  8. STRATEGIC EXERCISE OF REAL OPTIONS:INVESTMENT DECISIONS IN TECHNOLOGICAL SYSTEMS

    Institute of Scientific and Technical Information of China (English)

    Kevin ZHU; John WEYANT

    2003-01-01

    Viewing investment projects in new technologies as real options, this paper studies the effects of endogenous competition and asymmetric information on the strategic exercise of real options. We first develop a multi-period, game-theoretic model and show how competition leads to early exercise and aggressive investment behaviors and how competition erodes option values. We then relax the typical full-information assumption found in the literature and allow information asymmetry to exist across firms. Our model shows, in contrast to the literature that payoff is independent of the ordering of exercise, that the sequential exercise of real options may generate both informational and payoff externalities. We also find some surprising but interesting results such as having more information is not necessarily better.

  9. Information Aggregation and Investment Decisions

    OpenAIRE

    Christian Hellwig; Aleh Tsyvinski; Elias Albagli

    2010-01-01

    This paper studies an environment in which information aggregation interacts with investment decisions. The first contribution of the paper is to develop a tractable model of such interactions. The second contribution is to solve the model in closed form and derive a series of implications that result from the interplay between information aggregation and the value of market information for the firms' decision problem. We show that the model generates an information aggregation wedge between ...

  10. IT Project Evaluation and Investment Decision

    Institute of Scientific and Technical Information of China (English)

    黄东兵; 张世英

    2004-01-01

    There are many kinds of real options,which are valuable,in each phase of the lifetime of an information technology(IT)project.However,in the current IT investment decision theory,real options that embedded in IT projects are not considered. In this paper, the process of IT project decision and implementation is fully analyzed, the real options that may be embedded in an IT project are identified, and a real option analysis (ROA) method is proposed for evaluation of an IT project under uncertain business environment. ROA employs Black-Scholes expansion model and cancels the assumption that the cost of project is certain. The numerical example manifests that the ROA can better evaluate IT project and select the IT investment alternative. Finally, a road map is provided to help selecting the suitable evaluation method to make IT investment decision.

  11. Cost Estimates and Investment Decisions

    International Nuclear Information System (INIS)

    Emhjellen, Kjetil; Emhjellen Magne; Osmundsen, Petter

    2001-08-01

    When evaluating new investment projects, oil companies traditionally use the discounted cashflow method. This method requires expected cashflows in the numerator and a risk adjusted required rate of return in the denominator in order to calculate net present value. The capital expenditure (CAPEX) of a project is one of the major cashflows used to calculate net present value. Usually the CAPEX is given by a single cost figure, with some indication of its probability distribution. In the oil industry and many other industries, it is common practice to report a CAPEX that is the estimated 50/50 (median) CAPEX instead of the estimated expected (expected value) CAPEX. In this article we demonstrate how the practice of using a 50/50 (median) CAPEX, when the cost distributions are asymmetric, causes project valuation errors and therefore may lead to wrong investment decisions with acceptance of projects that have negative net present values. (author)

  12. Comparative Analysis of Investment Decision Models

    Directory of Open Access Journals (Sweden)

    Ieva Kekytė

    2017-06-01

    Full Text Available Rapid development of financial markets resulted new challenges for both investors and investment issues. This increased demand for innovative, modern investment and portfolio management decisions adequate for market conditions. Financial market receives special attention, creating new models, includes financial risk management and investment decision support systems.Researchers recognize the need to deal with financial problems using models consistent with the reality and based on sophisticated quantitative analysis technique. Thus, role mathematical modeling in finance becomes important. This article deals with various investments decision-making models, which include forecasting, optimization, stochatic processes, artificial intelligence, etc., and become useful tools for investment decisions.

  13. The error of fixed strategies in IT innovation investment decisions

    OpenAIRE

    Häckel, Björn; Isakovic, Vasko; Moser, Florian

    2013-01-01

    Allocating an IT Innovation budget to technologies in different maturity stages (mature vs. fashionable IT innovations) is a demanding task for companies. Due to the dynamic innovation cycles with new emerging technologies, many IT innovation investment decisions follow a bandwagon behavior or fixed investment strategies. Instead of optimizing the IT innovation budget’s allocation to mature or fashionable IT innovations and following a mindful investment strategy, fixed strategies with naïve ...

  14. Retention payoff-based cost per day open regression equations: Application in a user-friendly decision support tool for investment analysis of automated estrus detection technologies.

    Science.gov (United States)

    Dolecheck, K A; Heersche, G; Bewley, J M

    2016-12-01

    Assessing the economic implications of investing in automated estrus detection (AED) technologies can be overwhelming for dairy producers. The objectives of this study were to develop new regression equations for estimating the cost per day open (DO) and to apply the results to create a user-friendly, partial budget, decision support tool for investment analysis of AED technologies. In the resulting decision support tool, the end user can adjust herd-specific inputs regarding general management, current reproductive management strategies, and the proposed AED system. Outputs include expected DO, reproductive cull rate, net present value, and payback period for the proposed AED system. Utility of the decision support tool was demonstrated with an example dairy herd created using data from DairyMetrics (Dairy Records Management Systems, Raleigh, NC), Food and Agricultural Policy Research Institute (Columbia, MO), and published literature. Resulting herd size, rolling herd average milk production, milk price, and feed cost were 323 cows, 10,758kg, $0.41/kg, and $0.20/kg of dry matter, respectively. Automated estrus detection technologies with 2 levels of initial system cost (low: $5,000 vs. high: $10,000), tag price (low: $50 vs. high: $100), and estrus detection rate (low: 60% vs. high: 80%) were compared over a 7-yr investment period. Four scenarios were considered in a demonstration of the investment analysis tool: (1) a herd using 100% visual observation for estrus detection before adopting 100% AED, (2) a herd using 100% visual observation before adopting 75% AED and 25% visual observation, (3) a herd using 100% timed artificial insemination (TAI) before adopting 100% AED, and (4) a herd using 100% TAI before adopting 75% AED and 25% TAI. Net present value in scenarios 1 and 2 was always positive, indicating a positive investment situation. Net present value in scenarios 3 and 4 was always positive in combinations using a $50 tag price, and in scenario 4, the $5

  15. Do Older Investors Make Better Investment Decisions?

    OpenAIRE

    George M Korniotis; Alok Kumar

    2011-01-01

    This paper examines the investment decisions of older individual investors. We find that older and experienced investors are more likely to follow rules of thumb that reflect greater investment knowledge. However, older investors are less effective in applying their investment knowledge and exhibit worse investment skill, especially if they are less educated, earn lower income, and belong to minority racial/ethnic groups. Overall, the adverse effects of aging dominate the positive effects of ...

  16. Advocating investments in information technology

    International Nuclear Information System (INIS)

    Nirenberg, L.M.

    1992-01-01

    Information and communication systems can improve the timeliness and quality of decisions. These benefits are strategically important to the utility industry in an era of increasing competition. Because these systems often do not reduce labor cost, however, they can be difficult to evaluate. This report presents a new process for reaching consensus of the value of capital investment in information and communication systems. The results of this project is A Strategic Advocacy Process (ASAP), a methodology that can be used to evaluate investments in information technology. ASAP uses belief graphs to produce a living business case showing facts, assumptions, goals, and metrics for measuring progress toward those goals; shows how to use option pricing theory to quantify the value of managerial flexibility; ASAP uses an organizational impact assessment tool to identify the potential impact of new information systems and how to realize the benefits of managerial flexibility. The ASAP methodology addresses the critical problem of correctly valuing information and communication systems. The methodology offers a way to account for the ''intangible'' value of these systems by recognizing the managerial flexibility these systems can provide in addressing risks and uncovering new business opportunities. Metrics for measuring progress toward new goals can be defined, and plans for achieving the goals can be made. As a result, agreement can be reached on the uses, value, and priority of projects based on a metric other than on labor replacement savings

  17. Literature Review on Cyber Security Investment Decisions

    OpenAIRE

    ŞENTÜRK, Hakan; ÇİL, Celal Zaim; SAĞIROĞLU, Şeref

    2016-01-01

    Severe financial losses incurred by cyber security attacks with increasing complexity and frequency, as well as booming cyber security sector offering variety of products as investment options have led the focus of the research in the field to the economic dimension of cyber security. The need for determination of methods to be used when making cyber security investment decisions under budget constraints have become prominent. In five sections as the cyber security investment strategies, risk...

  18. Option Strike Price and Managerial Investment Decisions

    Institute of Scientific and Technical Information of China (English)

    刘鸿雁; 张维

    2003-01-01

    The manager′s investment decisions is modeled when the manager is risk-averse and has stock options as compensation. It is found that the strike price of options is crucial to the investment incentives of managers, and that the correct value, or interval of values, of managerial stock option strike price can bring stockholder and manager interests in agreement.

  19. Understanding the Impact of Business Cases on IT Investment Decisions

    DEFF Research Database (Denmark)

    Berghout, Egon; Tan, Chee-Wee

    2013-01-01

    This study synthesizes the extant literature to derive an integrative developmental framework for IT business cases that can be applied to diagnose the feasibility of technological investments. We then construct a theoretical model that postulates the impact of IT business case elements on the in......This study synthesizes the extant literature to derive an integrative developmental framework for IT business cases that can be applied to diagnose the feasibility of technological investments. We then construct a theoretical model that postulates the impact of IT business case elements...... on the initial cost estimates of technological investments. Subsequently, our theoretical model is subjected to empirical validation through content analysis of IT business cases developed for municipal e-government projects. Findings indicate that the richness of the richness of business cases translates...... to more initial costs being identified in technological investments, thereby conserving resources for the organization through informed investment decisions....

  20. Geopolitics and the corporate investment decision

    International Nuclear Information System (INIS)

    Boulos, A.J.

    1996-01-01

    The impact of geopolitics in any international oil company's investment decisions, was discussed. Geopolitics in this context was defined as all government policies, be they economic, political strategic or military, that determine national interests, which a company has to take into account in making an investment decision. Geopolitical considerations have taken on added importance with the arrival of the Cold War and its aftermath, to the point where investment decisions based on traditional parameters such as geological productivity, rates of return, net present values, fiscal and contractual provisions frequently take a back seat to investment decisions that were taken with geopolitical impacts foremost in mind. From time to time, geopolitical factors can even pre-empt corporate investment decisions. The nature of geopolitics, its historical antecedents, the emergence of international rivalries following World War I, intensified after World War II, particularly after the formation of OPEC in 1973, the changing forms of resource ownership, and the general impact of geopolitical factors on corporate investment decisions were reviewed

  1. LOCAL MEASUREMENTS OF THE IMPACT OF QUANTITATIVE AND QUALITATIVE CHARACTERISTICS OF INVESTMENT AND TECHNOLOGICAL DECISIONS ON THE ENVIRONMENT UNDER THE RISK-RELATED CONDITIONS OF MINING INDUSTRY

    Directory of Open Access Journals (Sweden)

    Valentin VELEV

    2010-09-01

    Full Text Available The impact of globalization in a worldwide scale is even more noticeable in the each country during period of world economic crisis due to the differences in the economic status, deformed by the crisis phenomena. In that case, the conflict between global tendencies and local manifestations in the regional aspect of economic phenomena is even more evidently noticeable as a direct reflection of the resource deficiency. The mineral resources are directly related to that process, not only as a first phase of the transformation of the raw material potential for each country, but also as a serious violator of the ecological equilibrium as a result of the applied technologies. Each country is enforced to resolve the various issues related to preserving the own resource potential as much as possible and to subordinate its investment and technological decisions to an integrated and in-depth utilization in compliance with the sustainable development of society

  2. Using a group decision support system to make investment prioritisation decisions

    OpenAIRE

    Read, Martin; Gear, Tony; Minkes, Leonard; Irving, Ann

    2013-01-01

    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...

  3. EU policy objectives and energy investment decisions

    OpenAIRE

    Alario, Juan

    2007-01-01

    EU energy policies have changed focus in the last few years with a view to substantially reducing energy import dependency and greenhouse gas emissions. The EU Commission has played a leading role in defining the new orientations. The implementation of the EU policy objectives approved by the Council of March 2007 will require a substantial expansion of energy investments. However, the degree of uncertainty affecting investment decisions remains high, notably in relation to the pricing of CO2...

  4. Innovation investment area: Technology summary

    International Nuclear Information System (INIS)

    1994-03-01

    The mission of Environmental Management's (EM) Office of Technology Development (OTD) Innovation Investment Area is to identify and provide development support for two types of technologies that are developed to characterize, treat and dispose of DOE waste, and to remediate contaminated sites. They are: technologies that show promise to address specific EM needs, but require proof-of-principle experimentation; and (2) already proven technologies in other fields that require critical path experimentation to demonstrate feasibility for adaptation to specific EM needs. The underlying strategy is to ensure that private industry, other Federal Agencies, universities, and DOE National Laboratories are major participants in developing and deploying new and emerging technologies. To this end, about 125 different new and emerging technologies are being developed through Innovation Investment Area's (IIA) two program elements: RDDT ampersand E New Initiatives (RD01) and Interagency Agreements (RD02). Both of these activities are intended to foster research and development partnerships so as to introduce innovative technologies into other OTD program elements for expedited evaluation

  5. Innovation investment area: Technology summary

    Energy Technology Data Exchange (ETDEWEB)

    1994-03-01

    The mission of Environmental Management`s (EM) Office of Technology Development (OTD) Innovation Investment Area is to identify and provide development support for two types of technologies that are developed to characterize, treat and dispose of DOE waste, and to remediate contaminated sites. They are: technologies that show promise to address specific EM needs, but require proof-of-principle experimentation; and (2) already proven technologies in other fields that require critical path experimentation to demonstrate feasibility for adaptation to specific EM needs. The underlying strategy is to ensure that private industry, other Federal Agencies, universities, and DOE National Laboratories are major participants in developing and deploying new and emerging technologies. To this end, about 125 different new and emerging technologies are being developed through Innovation Investment Area`s (IIA) two program elements: RDDT&E New Initiatives (RD01) and Interagency Agreements (RD02). Both of these activities are intended to foster research and development partnerships so as to introduce innovative technologies into other OTD program elements for expedited evaluation.

  6. Investment decision making in Dutch greenhouse horticulture

    NARCIS (Netherlands)

    Oude Lansink, A.G.J.M.; Verstegen, J.A.A.M.; Hengel, van den J.J.

    2001-01-01

    Panel data from Dutch horticultural firms over the period 1986-1998 were used to analyse the effects of different factors on investment decisions. The factors analysed relate to the firm operator and his family, the firm structure and the economic environment. Results show that firm-operator and

  7. Understanding power plant investment decision processes

    NARCIS (Netherlands)

    Groot, J.; Richstein, J.C.; De Vries, L.J.

    2013-01-01

    In order to understand how companies make investment decisions under conditions of deep uncertainty, we interviewed a number of actors in the Dutch electricity sector. Most of the economic literature that is devoted to this question is prescriptive in nature, describing rational methods to the

  8. Investment decisions with benefits of control

    DEFF Research Database (Denmark)

    Poulsen, Thomas

    This paper studies how large shareholders with benefits of control affect firms' equity issue behavior and investment decisions. I introduce an explicit agency cost structure based on the large shareholder's benefits of control. In a simple extension of Myers and Majluf [1984], I show that underi......This paper studies how large shareholders with benefits of control affect firms' equity issue behavior and investment decisions. I introduce an explicit agency cost structure based on the large shareholder's benefits of control. In a simple extension of Myers and Majluf [1984], I show...... that underinvestment is aggravated when there are benefits of being in control, and these benefits are diluted if equity is issued to finance the investment project. I assume that large shareholders are constrained from further investments in their firms, and that they maximize their own wealth, which includes...... as a representation of the large shareholders' expected private benefits. Using a large panel of U.S. data, I find that large shareholders' concern with dilution of ownership and control cause firms to issue less equity and to invest less. I also find that it has no significant effect whether new shares are issued...

  9. Including climate change in energy investment decisions

    International Nuclear Information System (INIS)

    Ybema, J.R.; Boonekamp, P.G.M.; Smit, J.T.J.

    1995-08-01

    To properly take climate change into account in the analysis of energy investment decisions, it is required to apply decision analysis methods that are capable of considering the specific characteristics of climate change (large uncertainties, long term horizon). Such decision analysis methods do exist. They can explicitly include evolving uncertainties, multi-stage decisions, cumulative effects and risk averse attitudes. Various methods are considered in this report and two of these methods have been selected: hedging calculations and sensitivity analysis. These methods are applied to illustrative examples, and its limitations are discussed. The examples are (1a) space heating and hot water for new houses from a private investor perspective and (1b) as example (1a) but from a government perspective, (2) electricity production with an integrated coal gasification combined cycle (ICGCC) with or without CO 2 removal, and (3) national energy strategy to hedge for climate change. 9 figs., 21 tabs., 42 refs., 1 appendix

  10. Transnational Energy Companies' Investment Allocation Decisions

    International Nuclear Information System (INIS)

    Osmundsen, Petter; Emhjellen, Magne; Halleraker, Morten

    2001-10-01

    When making international capital budgeting decisions, energy companies are often faced with capital and organisational constraints. The constraints may be real or management imposed. In addition, when entering into a new country or region the companies will incur fixed new area costs that must be considered before investment approval. The decision problem is therefore not a linear problem where the standard net present value rule applies, but a non-linear problem of selecting the combination of projects with the maximum aggregate net present value. New project investments will therefore be selected based on the size of the net present value (often referred to as financial volume or materiality) compared to the projects' use of capital and scarce personnel and organisational capacity. Consequently, projects with a positive net present value, but with low materiality, may not be approved. The portfolio choice has a parallel to the company's choice of core areas. Instead of complex portfolio models, the companies often apply simpler allocation mechanisms, e.g., combinations of fixed investment budgets and materiality requirements. Analysing petroleum cases, we compare the allocations decisions generated by portfolio models and simpler mechanisms. We also discuss the implications of this capital allocation pattern for governments' design of tax systems and license conditions. (author)

  11. The Importance of Investment Decisions in Project Management

    Directory of Open Access Journals (Sweden)

    Cosmina Mădălina Pop

    2008-10-01

    Full Text Available The financing decision alongside with investment decision represents the core of financial management. The paper presents the main steps in realizing investment projects, the option criteria used in pre-investment analysis, the techniques of financing the investments project, but also the methods of evaluation applied in selecting the most suitable project, accordingly with company’s developlment strategy and policy.

  12. Financial options methodology for analyzing investments in new technology

    Energy Technology Data Exchange (ETDEWEB)

    Wenning, B.D. [Texas Utilities Services, Inc., Dallas, TX (United States)

    1994-12-31

    The evaluation of investments in longer term research and development in emerging technologies, because of the nature of such subjects, must address inherent uncertainties. Most notably, future cash flow forecasts include substantial uncertainties. Conventional present value methodology, when applied to emerging technologies severely penalizes cash flow forecasts, and strategic investment opportunities are at risk of being neglected. Use of options valuation methodology adapted from the financial arena has been introduced as having applicability in such technology evaluations. Indeed, characteristics of superconducting magnetic energy storage technology suggest that it is a candidate for the use of options methodology when investment decisions are being contemplated.

  13. Financial options methodology for analyzing investments in new technology

    Science.gov (United States)

    Wenning, B. D.

    1995-01-01

    The evaluation of investments in longer term research and development in emerging technologies, because of the nature of such subjects, must address inherent uncertainties. Most notably, future cash flow forecasts include substantial uncertainties. Conventional present value methodology, when applied to emerging technologies severely penalizes cash flow forecasts, and strategic investment opportunities are at risk of being neglected. Use of options evaluation methodology adapted from the financial arena has been introduced as having applicability in such technology evaluations. Indeed, characteristics of superconducting magnetic energy storage technology suggest that it is a candidate for the use of options methodology when investment decisions are being contemplated.

  14. Financial options methodology for analyzing investments in new technology

    International Nuclear Information System (INIS)

    Wenning, B.D.

    1994-01-01

    The evaluation of investments in longer term research and development in emerging technologies, because of the nature of such subjects, must address inherent uncertainties. Most notably, future cash flow forecasts include substantial uncertainties. Conventional present value methodology, when applied to emerging technologies severely penalizes cash flow forecasts, and strategic investment opportunities are at risk of being neglected. Use of options valuation methodology adapted from the financial arena has been introduced as having applicability in such technology evaluations. Indeed, characteristics of superconducting magnetic energy storage technology suggest that it is a candidate for the use of options methodology when investment decisions are being contemplated

  15. Strategic Technology Investment Analysis: An Integrated System Approach

    Science.gov (United States)

    Adumitroaie, V.; Weisbin, C. R.

    2010-01-01

    Complex technology investment decisions within NASA are increasingly difficult to make such that the end results are satisfying the technical objectives and all the organizational constraints. Due to a restricted science budget environment and numerous required technology developments, the investment decisions need to take into account not only the functional impact on the program goals, but also development uncertainties and cost variations along with maintaining a healthy workforce. This paper describes an approach for optimizing and qualifying technology investment portfolios from the perspective of an integrated system model. The methodology encompasses multi-attribute decision theory elements and sensitivity analysis. The evaluation of the degree of robustness of the recommended portfolio provides the decision-maker with an array of viable selection alternatives, which take into account input uncertainties and possibly satisfy nontechnical constraints. The methodology is presented in the context of assessing capability development portfolios for NASA technology programs.

  16. ECONOMIC EFFICIENCY - DETERMINED ELEMENT IN INVESTMENT DECISION

    Directory of Open Access Journals (Sweden)

    Claudia MUNGIU-PUPAZAN

    2010-03-01

    Full Text Available Economic activity of a country are conducted by industry, under branches and production sectors, each with special characteristics and conditions of work, which, of course, put their imprint on the organization manner of the production process By an analysis of the concept of economic efficiency of investment is found that this is an amount of qualitative factors, which gives the latter a complex character, aimed to improving activity in the area where are taking place to the putting into service of such investment, which can be modernization, bringing new equipments, reconstruction and development. Study the economic efficiency of investment involves, as a base, an analysis of causal factors that determine the decision in the afferent medium of risk. Corresponding to peculiarities of the production process, it requires a proper methodology of assessment the economic efficiency of investment, with specification to maintain the general principles for calculating the economic efficiency indicators and specific indicators come only to complete the picture of indicators of general, basic and supplementary already calculated in order to provide additional clues, afferent to branch, under-branch or sector of activity.

  17. Does Gender Difference Impact Investment Decisions? Evidence from Oman

    OpenAIRE

    Jamil, Syed Ahsan; Khan, Khaliquzzaman

    2016-01-01

    Humans are believed to be rational decision makers and documentary evidence proves a significant heterogeneity across individuals when it comes to investment decision making and risk bearing. The study is an attempt to explore and understand the heterogeneity of investment decision when it comes to gender behavior with focus on women. The aim of this research is to explore role of gender in investment decision making and to identify the points of difference between the two genders with respec...

  18. Financing investment in environmentally sound technologies: Foreign direct investment versus foreign debt finance

    International Nuclear Information System (INIS)

    Anyangah, Joshua Okeyo

    2010-01-01

    This paper develops a screening model to examine the relationship between alternative sources of private capital and investment in environmentally sound technologies (ESTs). In the model, a polluter (agent) must secure investment funds from the international financial markets in order to upgrade its production and abatement technology. The requisite capital can be obtained via either market loans (debt finance) or foreign direct investment (FDI). Under debt finance, the foreign financier supplies only capital and the relationship between the two parties is more 'arms-length'. By contrast, under FDI, the investor delivers both capital and managerial skills. We use the model to derive the implications of debt finance for optimal investment decisions and compare them to those obtained under FDI. Investment incentives are more pronounced under debt finance. (author)

  19. HOSPITAL MANAGERS' NEED FOR INFORMATION ON HEALTH TECHNOLOGY INVESTMENTS

    DEFF Research Database (Denmark)

    Ølholm, Anne Mette; Kidholm, Kristian; Birk-Olsen, Mette

    2015-01-01

    decision makers, is not well described. The objective was to review empirical studies analysing the information that hospital decision makers need when deciding about health technology (HT) investments. METHODS: A systematic review of empirical studies published in English or Danish from 2000 to 2012...... in the literature related to clinical, economic and political/strategic aspects. Legal, social, and ethical aspects were seldom considered most important. CONCLUSIONS: Hospital decision makers are able to describe their information needs when deciding on HT investments. The different types of information were...

  20. Positive Mood Risk Attitudes, and Investment Decisions

    DEFF Research Database (Denmark)

    Lepori, Gabriele

    moodshifting mechanism commonly employed in lab studies. More specifically, I exploit the time-series variation in the domestic theatrical release of comedy movies as a natural experiment for testing the impact that happy mood (proxied by weekend comedy movie attendance) has on investment in risky assets...... (proxied by the performance of the U.S. stock market on the following Monday). My hypothesis rests upon the evidence that individual investors are more likely to ponder trading decisions during the weekend and trade on Mondays. To control for unobserved factors that may contemporaneously affect movie...... attendance and equity returns, I employ the percentage of theater screens dedicated to the comedy genre as an instrument. Using a sample of data from 1995 to 2010, I estimate that an increase in comedy attendance on a given weekend is followed by a decrease in equity returns on the subsequent Monday, which...

  1. The evolution of investments decision mode in China's telecommunication

    Institute of Scientific and Technical Information of China (English)

    ZHANG Ai-hua; ZHAO Lian-qiang; SHU Hua-ying

    2007-01-01

    This essay analyzes the data of Chinese telecommunication market, telecommunication investments and investment benefits over the past 20 years. On the basis of these data, the essay reviews Chinese changing telecommunication policies and discusses the major events in the course of China's telecommunication development. It is argued that telecommunication policies, regime backgrounds and market demand characteristics have a significant impact on investment decision mode in telecommunication industry. The evolution of network investments decision mode in China's telecommunication has corresponded to the transformation of these key factors. Considering the special events in the development of Chinese telecommunication as divisions, the essay discusses three stages of the evolution of investments decision mode in China's telecommunication. With the firm environment and problems that Chinese telecommunication operators have been facing since 2000 analyzed. it is demonstrated that Chinese telecommunication operators should change their mode of investment decision into the "profit-oriented investment decision mode" in order to achieve a high growth performance in the capital market,. This investment decision mode will result in increase of the investment profit with limited investment capital. The main procedure of profit-oriented investment decision mode is set out, which is abstracted to a mathematical model eventually.

  2. Developing long-term scenario forecasts to support electricity generation investment decisions

    CSIR Research Space (South Africa)

    Koen, Renée

    2014-09-01

    Full Text Available Many decisions regarding capital investment in electricity generation technologies need to be made well in advance, usually when there is still a large amount of uncertainty regarding the favourability of future conditions. There may be uncertainty...

  3. The financial management as a tool for development investment decision

    Directory of Open Access Journals (Sweden)

    Damnjanović Radovan M.

    2017-01-01

    Full Text Available Investment decisions, which influence the investment of financial resources to achieve economic, non-economic, or of both objectives and effects in the future, the central subject of financial management. Using the methods of financial mathematics can predict the effects of the investment which is from the standpoint of efficiency ratings are expressed in the form of cash future income. Periods, the investments and the use of investment, may be the same or different lengths. From an economic standpoint it is desirable that the period of the investment is short, and the economic effects of the eyelids investments as long as possible. For an investment is said to be cost-effective or cost-effective if the current value of the investment is less than the present value of income from investments.

  4. A dynamic decision model for portfolio investment and assets management

    Institute of Scientific and Technical Information of China (English)

    QIAN Edward Y.; FENG Ying; HIGGISION James

    2005-01-01

    This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz's portfolio selection theory and Sharpe's rule for investment decision. An analytical solution is presented to show how an institutional or individual investor can combine Markowitz's portfolio selection theory, generalized Sharpe's rule and Value-at-Risk(VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the generalized Markowitz's portfolio selection theory and generalized Sharpe's rule improve decision making for investment.

  5. Investment in flood protection measures under climate change uncertainty. An investment decision

    Energy Technology Data Exchange (ETDEWEB)

    Bruin, Karianne de

    2012-11-01

    Recent river flooding in Europe has triggered debates among scientists and policymakers on future projections of flood frequency and the need for adaptive investments, such as flood protection measures. Because there exists uncertainty about the impact of climate change of flood risk, such investments require a careful analysis of expected benefits and costs. The objective of this paper is to show how climate change uncertainty affects the decision to invest in flood protection measures. We develop a model that simulates optimal decision making in flood protection, it incorporates flexible timing of investment decisions and scientific uncertainty on the extent of climate change impacts. This model allows decision-makers to cope with the uncertain impacts of climate change on the frequency and damage of river flood events and minimises the risk of under- or over-investment. One of the innovative elements is that we explicitly distinguish between structural and non-structural flood protection measures. Our results show that the optimal investment decision today depends strongly on the cost structure of the adaptation measures and the discount rate, especially the ratio of fixed and weighted annual costs of the measures. A higher level of annual flood damage and later resolution of uncertainty in time increases the optimal investment. Furthermore, the optimal investment decision today is influenced by the possibility of the decision-maker to adjust his decision at a future moment in time.(auth)

  6. Effects of the provisions of the corporate and personal income tax codes on solar investment decisions

    Science.gov (United States)

    Sedmak, M. R.

    The effects of the provisions of the existing corporate and personal income tax codes on solar investment decisions are analyzed. It is shown that the provisions of a tax code do not discriminate against investment in solar technologies if the present value of depreciation and interest expense tax deductions over the relevant decision period is equal to the present value of actual capital expenses. However, on the basis of a quantitative analyses, it is concluded that the existing corporate income tax code does discriminate against solar investments for the majority of corporations, although the 25 percent tax credit available to businesses for solar investments is sufficient to alleviate the distortion in most cases. In contrast, the provisions of the existing personal income tax code favor solar investments over investments in less capital intensive energy generating units, as the interest paid on loads used to finance solar investments made by individuals is tax deductible, while conventional fuel expenses are not deductible.

  7. Investment and Usage of New Technologies : Evidence from a Shared ATM Network

    NARCIS (Netherlands)

    Ferrari, S.; Verboven, F.L.; Degryse, H.A.

    2007-01-01

    When new technologies become available, it is not only essential that firms have the correct investment incentives, but often also that consumers make the proper usage decisions. This paper studies investment and usage in a shared ATM network. Be- cause all banks coordinate their ATM investment

  8. Investment and Usage of New Technologies : Evidence from a Shared ATM Network

    NARCIS (Netherlands)

    Ferrari, S.; Verboven, F.L.; Degryse, H.A.

    2008-01-01

    When new technologies become available, it is not only essential that firms have the correct investment incentives, but often also that consumers make the proper usage decisions. This paper studies investment and usage in a shared ATM network. Be- cause all banks coordinate their ATM investment

  9. Emotional Intelligence and risk taking in investment decision-making

    OpenAIRE

    Enrico Rubaltelli; Sergio Agnoli; Michela Rancan; Tiziana Pozzoli

    2015-01-01

    Previous work on investment decision-making suggested that emotions prevent investors from taking risks and from investing in a rational way, whereas other work found that there is great variability in people’s ability to manage and use emotional feedbacks. We hypothesized that people with high trait emotional intelligence should be more willing, than people with low trait emotional intelligence, to accept risks when making an investment. Data supported a model in which trait emotional intell...

  10. Outsourced Investment Management: An Overview for Institutional Decision-Makers

    Science.gov (United States)

    Griswold, John S.; Jarvis, William F.

    2013-01-01

    Outsourcing of investment management is a growing trend among institutional investors. With a broad range of institutions using or exploring the outsourced chief investment officer (OCIO) model, portfolio size is no longer the determining factor driving the outsourcing decision. For all but the largest institutional investors--those with deep…

  11. The decision making on mutual investment of thai investors ...

    African Journals Online (AJOL)

    The decision making on mutual investment of thai investors. ... Journal of Fundamental and Applied Sciences. Journal Home ... The study was a research survey that used questionnaires to collect data from 400 samples of Thai investors.

  12. Options theory and strategic investment decisions

    International Nuclear Information System (INIS)

    Mann, D.; Goobie, G.; MacMillan, L.

    1992-01-01

    The possible use of options pricing theory for evaluating long-term capital investments is discussed. Using the Black and Scholes option pricing model, five variables were evaluated for a hypothetical oil sands project. These variables are: stock price as determined by the earning power of the company; exercise price which equals the investment cost of the project; price standard deviation which is assumed to be 50%; the length of time for which the company will maintain its option to invest in the project, and finally the risk free rate which is approximately equal to the yield in long term government securities. A sensitivity analysis on these variables can provide management with information on how best to influence the option value. A more in-depth analysis could provide valuable information about strategic choice for large projects. 5 refs., 3 figs

  13. Investment Decisions with Two-Factor Uncertainty

    NARCIS (Netherlands)

    Compernolle, T.; Huisman, Kuno; Kort, Peter; Lavrutich, Maria; Nunes, Claudia; Thijssen, J.J.J.

    2018-01-01

    This paper considers investment problems in real options with non-homogeneous two-factor uncertainty. It shows that, despite claims made in the literature, the method used to derive an analytical solution in one dimensional problems cannot be straightforwardly extended to problems with two

  14. Environmental, Social and Governance (ESG and Investment Decision in Bangladesh

    Directory of Open Access Journals (Sweden)

    Sayema Sultana

    2018-06-01

    Full Text Available As a key facet of sustainable development, environmental, social and governance (ESG discretion on stock market investment decision is gaining prevalence following the global financial crisis. ESG considers the sustainable return, risk reduction, and accountability aspects of investments. This study is an exploration of the individual stock market investors’ preferences for ESG issues and the influence that purpose of investment has on investment decision-making, by testing the investment horizon as a moderator. The theoretical background was taken from the theory of planned behavior (TPB, goal setting theory (GST, and the behavioral asset pricing model (BAPM. The study uses the sequential mix method of research, starting with an interview followed by a survey, which was conducted among individual stock market investors in Bangladesh, using simple random sampling. Structural equation modeling (SEM analysis was carried out using Warp PLS version 6.0. The key findings of this study delineate the effect of ESG issues and the purpose of investment on investment decision-making. The contribution of the study signifies the moderating role of the investment horizon, which confirms the importance of the long-term horizon as a time and risk diversification factor. The sparse utilization of the United Nations Global Compact (UNGC (2004 and Thomson Reuters Corporate Responsibility Index (TRCRI (2013 as measurement scales in this study is mentioned. This study has made practical contributions for managers, investors, and regulators.

  15. CEO emotional bias and investment decision, Bayesian network method

    Directory of Open Access Journals (Sweden)

    Jarboui Anis

    2012-08-01

    Full Text Available This research examines the determinants of firms’ investment introducing a behavioral perspective that has received little attention in corporate finance literature. The following central hypothesis emerges from a set of recently developed theories: Investment decisions are influenced not only by their fundamentals but also depend on some other factors. One factor is the biasness of any CEO to their investment, biasness depends on the cognition and emotions, because some leaders use them as heuristic for the investment decision instead of fundamentals. This paper shows how CEO emotional bias (optimism, loss aversion and overconfidence affects the investment decisions. The proposed model of this paper uses Bayesian Network Method to examine this relationship. Emotional bias has been measured by means of a questionnaire comprising several items. As for the selected sample, it has been composed of some 100 Tunisian executives. Our results have revealed that the behavioral analysis of investment decision implies leader affected by behavioral biases (optimism, loss aversion, and overconfidence adjusts its investment choices based on their ability to assess alternatives (optimism and overconfidence and risk perception (loss aversion to create of shareholder value and ensure its place at the head of the management team.

  16. Investment Decision In Micro, Small And Medium Enterprises In Indonesia*

    Directory of Open Access Journals (Sweden)

    Siti Aisyah Tri Rahayu

    2013-06-01

    Full Text Available The purpose of this study are: First, to analyze is there any significant influence among debt ratio, internal capital, cash flow, inflation expectations and the expectations of rupiah exchange rate against the decisions of businessmen in the real sector to invest or not to invest; Second, to analyze the impact of the variables perception mortgage interest rates, perceptions of bank regulation, internal capital and cash flow on debt ratio of the real sector (leverage. Investment decision model is estimated using logit models. The results of regression estimates the overall good for business and risk analysis for financial risk shows that almost all explanatory variables in the equation are statistically significant. There are three variables have a positive influence on the investment decisions taken by the businesses i.e. the debt ratio, cash flow and exchange rate expectations.

  17. IT investment decision making : Usability of a normative model

    NARCIS (Netherlands)

    Wijnhoven, Alphonsus B.J.M.; Heerkens, Johannes M.G.

    This article analyzes the usability of a multi-criteria decision analysis based on a real options AHP (ROAHP) method for IT-investment decisions. The study presents ROAHP to Chief Information Officers (CIO’s) and collects their opinions on prerequisites for usability, strengths and weaknesses. To

  18. INFORMATION TECHNOLOGY IN INVESTMENT PROJECT MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Vjacheslav A. Kozlov

    2014-01-01

    Full Text Available In the article it is proved that use of information technology today is not only something innovative distinctive feature and competitive advantage for organizations, but it is a necessary condition for effective business. The article discusses the main functionality of financial-analytical system Project Expert as an effective tool of investment project management and instrument of business planning. The main advantages which organizations get from Project Expert program use are in detail considered. Thus in the article Project Expert is considered as the effective tool of investment project management which allows to receive a number of advantages and to carry out the qualitative analysis of projects.

  19. Application of GIS in foreign direct investment decision support system

    Science.gov (United States)

    Zhou, Jianlan; Sun, Koumei

    2007-06-01

    It is important to make decisions on how to attract foreign direct investment (FDI) to China and know how the inequality of FDI introduction by locational different provinces. Following background descriptions on China's FDI economic environments and FDI-related policies, this paper demonstrates the uses of geographical information system (GIS) and multi-criterion decision-making (MCDM) framework in solving a spatial multi-objective problem of evaluating and ranking China's provinces for FDI introduction. It implements a foreign direct investment decision support system, which reveals the main determinants of FDI in China and gives some results of regional geographical analysis over spatial data.

  20. Marshall Space Flight Center Technology Investments Overview

    Science.gov (United States)

    Tinker, Mike

    2014-01-01

    NASA is moving forward with prioritized technology investments that will support NASA's exploration and science missions, while benefiting other Government agencies and the U.S. aerospace enterprise. center dotThe plan provides the guidance for NASA's space technology investments during the next four years, within the context of a 20-year horizon center dotThis plan will help ensure that NASA develops technologies that enable its 4 goals to: 1.Sustain and extend human activities in space, 2.Explore the structure, origin, and evolution of the solar system, and search for life past and present, 3.Expand our understanding of the Earth and the universe and have a direct and measurable impact on how we work and live, and 4.Energize domestic space enterprise and extend benefits of space for the Nation.

  1. Information technology investments must deliver value

    International Nuclear Information System (INIS)

    Schulz, Y.

    1998-01-01

    The value of information technology (IT) management for the petroleum industry was discussed. There are currently two points of view regarding the subject. Adherents of one view hold that the strategic uses of information technology are relevant to the oil and gas industry, while those opposed find no demonstrated connection between information technology investments and business results. This paper addresses the impact of the information paradox, but maintains that information technology is not only valuable but essential to the oil and gas industry. This paper maintains that whenever it is perceived as being of limited use and too expensive, it is usually because it is not well managed. Value management can and should lead to superior outcomes. Neither exploration, nor drilling nor production, nor marketing could exist without information technology as the value is imperative. To further make the case, the nature of information technology value management and the strategies required to achieve value from information technology are reviewed. figs

  2. Modeling strategic investment decisions in spatial markets

    International Nuclear Information System (INIS)

    Lorenczik, Stefan; Malischek, Raimund

    2014-01-01

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

  3. Modeling strategic investment decisions in spatial markets

    Energy Technology Data Exchange (ETDEWEB)

    Lorenczik, Stefan; Malischek, Raimund [Koeln Univ. (Germany). Energiewirtschaftliches Inst.; Trueby, Johannes [International Energy Agency, 75 - Paris (France)

    2014-04-15

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

  4. Decision-making process in investment projects

    OpenAIRE

    Moutinho, Nuno

    2011-01-01

    We present projects evaluation approaches in what decision should be based. We try to understand what we have to take into account in a project analysis, knowing that we have to consider much unmeasured aspects, like non non-financial areas. We verify how all aspects are used and analysed in the project appraisal. We also desire to understand if companies have adequate tools and methods to correctly analyse and to take decisions in a project evaluation. In this study we identify several as...

  5. The Brazilian investment in science and technology

    Directory of Open Access Journals (Sweden)

    Pinheiro-Machado R.

    2001-01-01

    Full Text Available An analysis of Brazilian federal expenditures in science and technology is presented is this study. The 1990-1999 data were compiled from records provided by two federal agencies (MCT and CNPq responsible for managing most of the national budget related to these activities. The results indicate that the federal investments in Brazilian science and technology stagnated during the last decade (US$ 2.32 billion in 1990, US$ 2.39 billion in 1996, and US$ 2.36 billion in 1999. In contrast, a great increase in private investments in research was acknowledged both by industry and by the government during the same period, from US$ 2.12 to US$ 4.64 billion. However, this investment did not result in an increase in invention patents granted to residents (492 in 1990 and only 232 in 1997 or in a reduction of patent costs. Despite this unfavorable scenario, the number of graduate programs in the country has increased two-fold in the last decade and the contribution of Brazilians to the database of the Institute for Scientific Information has increased 4.7-fold from 1990 (2,725 scientific publications to 2000 (12,686 scientific publications. Unstable federal resources for science, together with the poor returns of private resources in terms of developing new technologies, may jeopardize the future of Brazilian technological development.

  6. Financial Decisions, Tax Effect and Investment Performance

    Directory of Open Access Journals (Sweden)

    Yasemin COSKUN

    2018-04-01

    Full Text Available The aim of the study is to measure influence of taxation while making financial decisions and predict it with the general application in Turkey. Except for equity returns of financial and negative capital institutions registered in Borsa Istanbul between 2000 and 2012, those of all other businesses were calculated. In order to measure cost of capital, Capital Assets Pricing Model(CAPM was employed. Businesses were divided into for regions as stated in Tax Incentive Law according to the study. As stated in Tax Incentive Law, the businesses whose costs of capital were divided into six regions where statistical analysis was made to determine whether taxation influenced financial decisions of the related businesses based on Tax Incentive Law or not. Assessment of the findings within the study determined that businesses in 1 st, 2 nd and 3 rd regions were affected by taxation 5,69, 2,75 and 1,39 as means between 2007 and 2012, respectively. Accordingly taxation load of businesses in 1 st region provinces was found to be heavier than those of businesses in other regions. Considering the Tax Incentive Law, it was found to be statistically important that taxation load of the related region should be taken into account in making any financial decisions. In this respect, there is an impact of tax when one makes financial decisions. However, other relevant factors should also be considered.

  7. Peer effects in decision-making: Evidence from corporate investment

    Directory of Open Access Journals (Sweden)

    Shenglan Chen

    2017-06-01

    Full Text Available We show that peer effects influence corporate investment decisions. Using a sample of China’s listed firms from 1999 to 2012, we show that a one standard deviation increase in peer firms’ investments is associated with a 4% increase in firm i’s investments. We further identify the mechanisms, conditions and economic consequences of peer effects in firms’ investment decisions. We find that peer effects are more pronounced when firms have information advantages and the information disclosure quality of peer firms is higher, or if they face more fierce competition. When firms are industry followers, are young or have financial constraints, they are highly sensitive to their peers firms. We also quantify the economic consequences generated by peer effects, which can increase firm performance in future periods.

  8. Investment in Electricity Generation and Transmission: Decision Making Under Uncertainty

    DEFF Research Database (Denmark)

    Conejo, Antonio J.; Baringo, Luis; Kazempour, Jalal

    This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment...... undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here....

  9. The role of investment, fundamental Q and financing frictions in agricultural investment decisions: an analysis pre and post financial crisis

    OpenAIRE

    Conor M. O'Toole; Carol Newman; Thia Hennessy

    2011-01-01

    This paper uses a fundamental Q model of investment to consider the role played by financing frictions in agricultural investment decisions, controlling econometrically for censoring, heterogeneity and errors-in-variables. Our findings suggest that farmer's in- vestment decisions are not driven by market fundamentals. We find some evidence that debt overhang restricts investment but investment is not dependent on liquidity or internal funds. The role of nancing frictions in determining invest...

  10. "What If" Analyses in Investment Decision Making

    Directory of Open Access Journals (Sweden)

    Katarína Belanová

    2012-09-01

    Full Text Available In general, each project`s value is estimated using a discounted cash flow (DCF valuation, and the opportunity with the highest value, as measured by the resultant net present value (NPV will be selected. The problem with such NPV estimates is that they depend on projected future cash flows. If there are errors in those projections, then estimated net present values can be misleading (a forecasting risk. Basic approach to evaluating cash flow and NPV estimates involves asking “what – if” questions. Accordingly, the paper discusses some organized ways of going about a what – if analysis. Its goal in doing so is to assess the degree of forecasting risk and to identify those elements that are the most critical to the success or failure of an investment. However, as we show in examples, as well as in the practical study, though what – if analysis really allows us to obtain the certain idea of degree of forecasting risk, it does not tell us what to do about the possible errors.

  11. Modeling energy technology choices. Which investment analysis tools are appropriate?

    International Nuclear Information System (INIS)

    Johnson, B.E.

    1994-01-01

    A variety of tools from modern investment theory appear to hold promise for unraveling observed energy technology investment behavior that often appears anomalous when analyzed using traditional investment analysis methods. This paper reviews the assumptions and important insights of the investment theories most commonly suggested as candidates for explaining the apparent ''energy technology investment paradox''. The applicability of each theory is considered in the light of important aspects of energy technology investment problems, such as sunk costs, uncertainty and imperfect information. The theories addressed include the capital asset pricing model, the arbitrage pricing theory, and the theory of irreversible investment. Enhanced net present value methods are also considered. (author)

  12. HOSPITAL MANAGERS' NEED FOR INFORMATION ON HEALTH TECHNOLOGY INVESTMENTS.

    Science.gov (United States)

    Ølholm, Anne Mette; Kidholm, Kristian; Birk-Olsen, Mette; Christensen, Janne Buck

    2015-01-01

    There is growing interest in implementing hospital-based health technology assessment (HB-HTA) as a tool to facilitate decision making based on a systematic and multidisciplinary assessment of evidence. However, the decision-making process, including the informational needs of hospital decision makers, is not well described. The objective was to review empirical studies analysing the information that hospital decision makers need when deciding about health technology (HT) investments. A systematic review of empirical studies published in English or Danish from 2000 to 2012 was carried out. The literature was assessed by two reviewers working independently. The identified informational needs were assessed with regard to their agreement with the nine domains of EUnetHTA's Core Model. A total of 2,689 articles were identified and assessed. The review process resulted in 14 relevant studies containing 74 types of information that hospital decision makers found relevant. In addition to information covered by the Core Model, other types of information dealing with political and strategic aspects were identified. The most frequently mentioned types of information in the literature related to clinical, economic and political/strategic aspects. Legal, social, and ethical aspects were seldom considered most important. Hospital decision makers are able to describe their information needs when deciding on HT investments. The different types of information were not of equal importance to hospital decision makers, however, and full agreement between EUnetHTA's Core Model and the hospital decision-makers' informational needs was not observed. They also need information on political and strategic aspects not covered by the Core Model.

  13. The effect of environmental information on investment allocation decisions

    DEFF Research Database (Denmark)

    Rikhardsson, Pall M.; Holm, Claus

    2008-01-01

    This paper focuses on the use of environmental information in investment decision making. The research approach employed is based on an experiment where three groups of final year finance students were asked to allocate investment funds between two companies based on financial accounts...... information categories affect their decision making. Hence, this has implications for how the potential value of environmental information is to be assessed. Finally, experimental studies as a methodology seem to be better suited to indicate actual effects of different types of information on decision making...... and information material from these companies in which environmental information was included in varying degrees. The overall conclusion is that the qualitative environmental information affects short term allocation decisions, hence indicating a risk reduction potential of environmental information comparable...

  14. 10 CFR 603.1340 - Technology investment agreement.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false Technology investment agreement. 603.1340 Section 603.1340 Energy DEPARTMENT OF ENERGY (CONTINUED) ASSISTANCE REGULATIONS TECHNOLOGY INVESTMENT AGREEMENTS Definitions of Terms Used in this Part § 603.1340 Technology investment agreement. A TIA is a special type of...

  15. NASA technology investments: building America's future

    Science.gov (United States)

    Peck, Mason

    2013-03-01

    Investments in technology and innovation enable new space missions, stimulate the economy, contribute to the nation's global competitiveness, and inspire America's next generation of scientists, engineers and astronauts. Chief Technologist Mason Peck will provide an overview of NASA's ambitious program of space exploration that builds on new technologies, as well as proven capabilities, as it expands humanity's reach into the solar system while providing broadly-applicable benefits here on Earth. Peck also will discuss efforts of the Office of the Chief Technologist to coordinate the agency's overall technology portfolio, identifying development needs, ensuring synergy and reducing duplication, while furthering the national initiatives as outlined by President Obama's Office of Science and Technology Policy. By coordinating technology programs within NASA, Peck's office facilitates integration of available and new technology into operational systems that support specific human-exploration missions, science missions, and aeronautics. The office also engages other government agencies and the larger aerospace community to develop partnerships in areas of mutual interest that could lead to new breakthrough capabilities. NASA technology transfer translates our air and space missions into societal benefits for people everywhere. Peck will highlight NASA's use of technology transfer and commercialization to help American entrepreneurs and innovators develop technological solutions that stimulate the growth of the innovation economy by creating new products and services, new business and industries and high quality, sustainable jobs.

  16. INTEGRATING ABC AND EVA TO EVALUATE INVESTMENT DECISIONS

    Directory of Open Access Journals (Sweden)

    N. Chiadamrong

    2017-12-01

    Full Text Available The significance of investment is transparent in the world of competitive business. Traditional costing systems in which their emphasizes are for short term savings rather than long term benefits have shown some lacking in providing accurate and reliable cost data for the investment decisions. Activity-based Costing (ABC, which is developed to satisfy some of the weaknesses of the traditional costing systems, can provide valuable insights into the operating processes and come up with more accurate cost data. In this paper, ABC is used to provide significant information for investment decisions. Although, the ABC method provides accurate operating product costs, it does not identify which products are economic valued added creators and so contribute to companies’ wealth. This drawback can be overcome by applying Economic Value Added (EVA. The adoption of ABC and EVA can represent a considerable change in the managerial thinking and to corporate strategies and business performance.

  17. \\t Capital Planning and Investment Control (CPIC) for the Management of Information Technology Investments

    Science.gov (United States)

    Capital Planning and Investment Control (CPIC) is the Information Technology (IT) governance and management methodology in use at EPA for selecting, controlling and evaluating the performance of EPA IT investments throughout the full lifecycle.

  18. Economic simulation to support investment decisions in pig farming

    NARCIS (Netherlands)

    Backus, G.B.C.

    1994-01-01

    The study described in this thesis focuses on the development and use of a model that simulates the consequences of long-term investment decisions in pig farming. The thesis is composed of six parts. Chapter 1 deals with a basic review of the literature on strategic planning under risk and

  19. A multi-objective decision framework for lifecycle investment

    NARCIS (Netherlands)

    Timmermans, S.H.J.T.; Schumacher, J.M.; Ponds, E.H.M.

    2017-01-01

    In this paper we propose a multi-objective decision framework for lifecycle investment choice. Instead of optimizing individual strategies with respect to a single-valued objective, we suggest evaluation of classes of strategies in terms of the quality of the tradeoffs that they provide. The

  20. Investment Decision Making: A Guide to Good Practice.

    Science.gov (United States)

    Higher Education Funding Council for England, Bristol.

    This "good practice" guide is aimed at anyone in higher education in England who is involved in making decisions on investments. It focuses on the principles to be followed, rather than the techniques of appraisal. The guide outlines the steps for developing an outline business case and then refining it into a full business case for the…

  1. NASA/ESTO investments in remote sensing technologies (Conference Presentation)

    Science.gov (United States)

    Babu, Sachidananda R.

    2017-02-01

    For more then 18 years NASA Earth Science Technology Office has been investing in remote sensing technologies. During this period ESTO has invested in more then 900 tasks. These tasks are managed under multiple programs like Instrument Incubator Program (IIP), Advanced Component Technology (ACT), Advanced Information Systems Technology (AIST), In-Space Validation of Earth Science Technologies (InVEST), Sustainable Land Imaging - Technology (SLI-T) and others. This covers the whole spectrum of technologies from component to full up satellite in space and software. Over the years many of these technologies have been infused into space missions like Aquarius, SMAP, CYGNSS, SWOT, TEMPO and others. Over the years ESTO is actively investing in Infrared sensor technologies for space applications. Recent investments have been for SLI-T and InVEST program. On these tasks technology development is from simple Bolometers to Advanced Photonic waveguide based spectrometers. Some of the details on these missions and technologies will be presented.

  2. ESTO Investments in Innovative Sensor Technologies for Remote Sensing

    Science.gov (United States)

    Babu, Sachidananda R.

    2017-01-01

    For more then 18 years NASA Earth Science Technology Office has been investing in remote sensing technologies. During this period ESTO has invested in more then 900 tasks. These tasks are managed under multiple programs like Instrument Incubator Program (IIP), Advanced Component Technology (ACT), Advanced Information Systems Technology (AIST), In-Space Validation of Earth Science Technologies (InVEST), Sustainable Land Imaging - Technology (SLI-T) and others. This covers the whole spectrum of technologies from component to full up satellite in space and software. Over the years many of these technologies have been infused into space missions like Aquarius, SMAP, CYGNSS, SWOT, TEMPO and others. Over the years ESTO is actively investing in Infrared sensor technologies for space applications. Recent investments have been for SLI-T and InVEST program. On these tasks technology development is from simple Bolometers to Advanced Photonic waveguide based spectrometers. Some of the details on these missions and technologies will be presented.

  3. Evaluation of NASA-sponsored research on capital investment decision making in the civil aviation industry

    Science.gov (United States)

    Donovan, D. J.

    1977-01-01

    Significant findings of three studies undertaken to provide the NASA Aircraft Energy Efficiency (ACEE) Office with information regarding how aircraft manufacturers and commercial airlines make investment decisions concerning the acquisition of new and derivative technology are analyzed and their general implications explored. Topics discussed include: the market for airline aircraft, factors affecting the corporate decision making process of air transport manufacturers, and flight equipment purchasing practices of representative air carriers.

  4. Investment sensitivity and managerial decision making behaviour of Indian firms

    Directory of Open Access Journals (Sweden)

    Pankaj Kumar Gupta

    2013-01-01

    Full Text Available Contemporary models of the financial theory support the proposition that the stock prices should be fundamentally a reflection of the discounted value of earnings. Accordingly the investors and analysts should base their expectations on the expected future cash flows that are logically correlated or have a carry over effect vis-ŕ-vis present stream of cash flows. This logically implies that the managers would have an incentive to manipulate investor’s expectation of future cash flows. The zeal to maximize the firm’s value based on market capitalization is expected to have a detrimental effect on the investment decisions leading to sub optimality. Given the imperfect information structure and market pressures, the Indian firms suffer from mispricing and as such the conventional robust theoretical models of agency conflicts cannot be refuted. This motivates us to examine the interrelation ship between the concerns for valuation and investment sensitivity. We use a sample statistics of selected listed firms that represent the CNX Nifty Index and test for the dependence of the investment behavior of the firm, on the sensitivity of the firms’ share prices to its current cash flow represented by surprise earings. We use the earnings response coefficient (ERC framework proposed by Ball and Brown (1968 for 11 key industries in India. We find that the surpise in accounting earnings announcements is negatively associated with abnormal stock returns and the investment decisions taken by the firms are negatively sensitive to changes in investment opportunities.

  5. Framework for Assessing Financial Literacy and Superannuation Investment Choice Decisions

    Directory of Open Access Journals (Sweden)

    Natalie Gallery

    2011-06-01

    Full Text Available There is a worldwide trend towards rapidly growing defined contribution pension funds in terms of assets andmembership, and the choices available to individuals. This has shifted the decisionmaking responsibility tofund members for managing the investment of their retirement savings. This change has given rise to aphenomenon where most superannuation fund members are responsible for either actively choosing orpassively relying on their funds’ default investment options. Prior research identifies that deficiencies infinancial literacy is one of the causes of inertia in financial decision-making and findings from internationaland Australian studies show that financial illiteracy is wide-spread. Given the potential significant economicand social consequences of poor financial decision-making in superannuation matters, this paper proposes aframework by which the various demographic, social and contextual factors that influence fund members’financial literacy and its association with investment choice decisions are explored. Enhanced theoretical andempirical understanding of the factors that are associated with active/passive investment choice decisionswould enable development of well-targeted financial education programs.

  6. Making optimal investment decisions for energy service companies under uncertainty: A case study

    International Nuclear Information System (INIS)

    Deng, Qianli; Jiang, Xianglin; Zhang, Limao; Cui, Qingbin

    2015-01-01

    Varied initial energy efficiency investments would result in different annual energy savings achievements. In order to balance the savings revenue and the potential capital loss through EPC (Energy Performance Contracting), a cost-effective investment decision is needed when selecting energy efficiency technologies. In this research, an approach is developed for the ESCO (Energy Service Company) to evaluate the potential energy savings profit, and thus make the optimal investment decisions. The energy savings revenue under uncertainties, which are derived from energy efficiency performance variation and energy price fluctuation, are first modeled as stochastic processes. Then, the derived energy savings profit is shared by the owner and the ESCO according to the contract specification. A simulation-based model is thus built to maximize the owner's profit, and at the same time, satisfy the ESCO's expected rate of return. In order to demonstrate the applicability of the proposed approach, the University of Maryland campus case is also presented. The proposed method could not only help the ESCO determine the optimal energy efficiency investments, but also assist the owner's decision in the bidding selection. - Highlights: • An optimization model is built for determining energy efficiency investment for ESCO. • Evolution of the energy savings revenue is modeled as a stochastic process. • Simulation is adopted to calculate investment balancing the owner and the ESCO's profit. • A campus case is presented to demonstrate applicability of the proposed approach

  7. The economic rationale for investing decisions innovative projects rationalization of investments for innovative projects

    Directory of Open Access Journals (Sweden)

    L. O. Zhitinskaya

    2017-01-01

    Full Text Available The article provides a selection of methods for determining the feasibility of an investment-innovative project. Estimated indicators are identified analytically, on their basis a conclusion is made about the economic efficiency and feasibility of the project, which is the basis of its competitiveness. Such growth analytics is necessary, since the social and economic development of the country and the region largely depends on the investment climate, which is facilitated by the legislation of the Russian Federation (the Tax Code of the Russian Federation, the law of the Russian Federation on the regulation of investment activities, etc.. Since competitiveness is also determined by the economic feasibility and financial solvency of innovative projects, modern information and software, as well as the methodology for project appraisal and the corresponding order of their implementation, are needed. In the Russian Federation, a method is used to assess the efficiency of capital investments in capitalist countries, as well as the methodology of economic (competitive analysis of investment-innovative projects. The basis of the method is that reimbursement of investments occurs in two economic forms: net profit and depreciation (net income. Of the numerous methods for assessing the feasibility of investment, the most often used along with discount methods (taking into account the factor of money changes over time, statistical methods with determining the payback period and the average rate of return on investment. Defined indicators: the net present value (NPV and the internal rate of return (IRR. The methodology specified in the article is useful to the investor in order to rationalize investment flows, helps to achieve the maximum IRR. The implementation of the innovative project serves the competitiveness of the manufacturing enterprise by increasing the technical and technological levels of the products.

  8. Impact of Real-world Factors Influencing Investment Decisions on the Costs and Distribution of Climate Change Mitigation

    Science.gov (United States)

    Edmonds, J.; Iyer, G.; McJeon, H. C.; Leon, C.; Hultman, N.

    2015-12-01

    Strategies to mitigate dangerous anthropogenic climate change require a dramatic transformation of the energy system to reduce greenhouse gas emissions, that in turn requires large-scale investments. Investment decisions depend not only on investment capital availability but also on investment risks. A number of factors such as national policy environments, quality of public and private institutions, sector, firm and technology specific characteristics can affect investors' assessments of risks, leading to a wide variation in the business climate for investment. Such heterogeneity in investment risks can have important implications, as investors usually respond to risks by requiring higher returns for riskier projects; delaying or forgoing the investments; or preferring to invest in existing, familiar projects. We study the impact of variation in investment risks on regional patterns of emissions mitigation, the cost of emissions mitigation and patterns of technology deployment. We modify an integrated assessment model, widely used in global climate policy analyses (the Global Change Assessment Model) and incorporate decisions on investments based on risks along two dimensions. Along the first dimension, we vary perceived risks associated with particular technologies. To do so, we assign a higher cost of capital for investment in low-carbon technologies as these involve intrinsically higher levels of regulatory and market risk. The second dimension uses a proxy to vary investment risks across regions, based on an institutional quality metric published by the World Economic Forum. Explicit representation of investment risks has two major effects. First, it raises the cost of emissions mitigation relative to a world with uniform investment risks. Second, it shifts the pattern of emissions mitigation, with industrialized countries mitigating more, and developing countries mitigating less. Our results suggest that institutional reforms aimed at lowering investment

  9. PRODUCTIVITY AND LAND ENHANCING TECHNOLOGIES IN NORTHERN ETHIOPIA: HEALTH, PUBLIC INVESTMENTS, AND SEQUENTIAL ADOPTION

    OpenAIRE

    Ersado, Lire; Amacher, Gregory S.; Alwang, Jeffrey Roger

    2003-01-01

    The adoption of more efficient farming practices and technologies that enhance agricultural productivity and improve environmental sustainability is instrumental for achieving economic growth, food security and poverty alleviation in sub-Saharan Africa. Our research examines the interaction between public investments, community health, and adoption of productivity and land enhancing technologies by households in the northern Ethiopian state of Tigray. Agricultural technology adoption decision...

  10. Stochastic Simulation Using @ Risk for Dairy Business Investment Decisions

    Science.gov (United States)

    A dynamic, stochastic, mechanistic simulation model of a dairy business was developed to evaluate the cost and benefit streams coinciding with technology investments. The model was constructed to embody the biological and economical complexities of a dairy farm system within a partial budgeting fram...

  11. Stochastic simulation using @Risk for dairy business investment decisions

    NARCIS (Netherlands)

    Bewley, J.D.; Boehlje, M.D.; Gray, A.W.; Hogeveen, H.; Kenyon, S.J.; Eicher, S.D.; Schutz, M.M.

    2010-01-01

    Purpose – The purpose of this paper is to develop a dynamic, stochastic, mechanistic simulation model of a dairy business to evaluate the cost and benefit streams coinciding with technology investments. The model was constructed to embody the biological and economical complexities of a dairy farm

  12. The role of financing frictions in agricultural investment decisions: an analysis pre and post financial crisis

    OpenAIRE

    O'Toole, Conor M.; Newman, Carol F.; Hennessy, Thia C.

    2011-01-01

    This paper uses a fundamental Q model of investment to consider the role played by financing frictions in agricultural investment decisions, controlling econometrically for censoring, heterogeneity and errors-in-variables. Our findings suggest that farmer's investment decisions are not driven by market fundamentals. We find some evidence that debt overhang restricts investment but investment is not dependent on liquidity or internal funds. The role of financing frictions in determining invest...

  13. Method of estimating investment decisions effectiveness in power engineering

    International Nuclear Information System (INIS)

    Kamrat, W.

    1996-01-01

    A new concept of determining efficient power plants investment decision-making is proposed.The results of research on capital expenditures for building and modernization of power plants are presented. The model introduced is based on the well-known Annual Cost Model which is modified by adding annual risk costs. So the formula for annual costs is: K = K f + K v + K r , where: K f are annual fixed costs, K v - annual variables costs, K r -annual risk costs. The annual risk costs can be calculated by the expression: K r = e i x K c , where e i is the investment risk factor, and K c - leveled capital investment. The risk factor was created on the basis of some elements of the taxonometric method with a high level of estimation probability. The essential problem is the selection of risk investment variables, most important of which are economic, financial, technical, social, political, legal. These variables create a multidimensional space. A so called 'ideal' model of the power plant is created taking into account capacity, type, fuel used, etc. The values of the multidimensional risk factor e i lie within limit and make it possible to rank the planned plants in series according to the estimated level of risk. This method can be used not only for risk evaluation in power engineering but also for investment efficiency studies in different industrial branches

  14. Fisher's Rate and Aggregate Capital Needs in Investment Decisions

    OpenAIRE

    Mária Illés

    2014-01-01

    Fisher’s rate means the interest rate where the net present values of two mutually exclusive projects become equal. The paper examines the background and the circumstances of conformation of Fisher’s rate in connection with the aggregate capital needs. Aggregate capital needs is a new conception and gives a new viewpoint to investment project decisions. The paper defines the special content of aggregate capital needs, and compiles an index number for it. The analysis widens knowledge regardin...

  15. Collective Investment Decision Making with Heterogeneous Time Preferences

    OpenAIRE

    Gollier, Christian; Zeckhauser, Richard

    2003-01-01

    We examine the investment decision problem of a group whose members have heterogeneous time preferences. In particular, they have different discount factors for utility, possibly not exponential. We characterize the properties of efficient allocations of resources and of shadow prices that would decentralize such allocations. We show in particular that the term structure of interest rates is decreasing when all members have DARA preferences. Heterogeneous groups should not use exponential dis...

  16. Investigating the factors affecting the investment decision in residential development.

    OpenAIRE

    Narang, Somil

    2007-01-01

    The purpose of this project is to provide a rare insight into the motivation behind residential property investors when looking to purchase an apartment. The factors driving demand preferences for housing are constantly changing, difficult to measure, and often deemed to be a complex bundle of attributes. The project attempts to answer the following questions: What are the factors affecting the investment decision in a Residential Development? To identify the significance and weight of su...

  17. An Investigation of Psychological Factors Inluencing Investment Decision Making

    Directory of Open Access Journals (Sweden)

    Hsin Hue Chang

    2014-08-01

    Full Text Available This  study  applies  a  second-order  conirmatory  factor  analysis  (CFA  approach  to investigate  psychological  factors  inluencing  individuals'  investment  decision-making.  A second-order  CFA  approach  consists  of  ive  irst-order  psychological  factors  in  terms  of mental  accounting,  regret  avoidance,  self-control,  heuristic  and  overconidence,  and  one second-order factor in terms of investment decision-making. Quantitative data was yielded by the questionnaire, and an effective sample of 752 responses was used to execute the estimation procedure.  The  results  reveal  that  there  exist  statistically  signiicant  relationships  between ive psychological factors and investment decision-making. Investors are likely to consider a product with different functions as one with different mental accounts (gains. Thus, inancial institutions  are  advised  to  provide  their  potential  customers  with  multi-function  products. Since self-control is  a  signiicant self-imposed mechanism  for  investment decision-making, inancial institutions can merchandise products that can help their customers to execute the self-imposed rules of thumb. ";} // -->activate javascript

  18. Applying real options in investment decisions relating to environmental pollution

    Energy Technology Data Exchange (ETDEWEB)

    Lin, Tyrone T. [Department of International Business, National Dong Hwa University, 1, Sec. 2, Da Hsueh Road, Shou-Feng, Hualien 974, Taiwan (China)]. E-mail: tjlin@mail.ndhu.edu.tw; Ko, C.-C. [Department of International Trade, Jin Wen Institute of Technology, Taiwan (China); Yeh, H.-N. [Graduate School of Management, Ming Chuan University, Taiwan (China)

    2007-04-15

    This study focuses on how to assess the optimal environmental investment decisions under economic and ecological uncertainty, and establishes the continuous time model using the real option approach to optimize environmental pollution policy. Unlike traditional cost benefit analysis, this work extends the model of [Pindyck, R.S., 2002. Optimal timing problems in environmental economics. Journal of Economic Dynamics and Control 26(9-10), 1677-1697], and attempts to identify the storage threshold of pollution stocks and the optimal timing for implementing environmental pollution decisions.

  19. Applying real options in investment decisions relating to environmental pollution

    International Nuclear Information System (INIS)

    Lin, Tyrone T.; Ko, C.-C.; Yeh, H.-N.

    2007-01-01

    This study focuses on how to assess the optimal environmental investment decisions under economic and ecological uncertainty, and establishes the continuous time model using the real option approach to optimize environmental pollution policy. Unlike traditional cost benefit analysis, this work extends the model of [Pindyck, R.S., 2002. Optimal timing problems in environmental economics. Journal of Economic Dynamics and Control 26(9-10), 1677-1697], and attempts to identify the storage threshold of pollution stocks and the optimal timing for implementing environmental pollution decisions

  20. Transnational Energy Companies' Investment Allocation Decisions

    Energy Technology Data Exchange (ETDEWEB)

    Osmundsen, Petter; Emhjellen, Magne; Halleraker, Morten

    2001-10-01

    When making international capital budgeting decisions, energy companies are often faced with capital and organisational constraints. The constraints may be real or management imposed. In addition, when entering into a new country or region the companies will incur fixed new area costs that must be considered before investment approval. The decision problem is therefore not a linear problem where the standard net present value rule applies, but a non-linear problem of selecting the combination of projects with the maximum aggregate net present value. New project investments will therefore be selected based on the size of the net present value (often referred to as financial volume or materiality) compared to the projects' use of capital and scarce personnel and organisational capacity. Consequently, projects with a positive net present value, but with low materiality, may not be approved. The portfolio choice has a parallel to the company's choice of core areas. Instead of complex portfolio models, the companies often apply simpler allocation mechanisms, e.g., combinations of fixed investment budgets and materiality requirements. Analysing petroleum cases, we compare the allocations decisions generated by portfolio models and simpler mechanisms. We also discuss the implications of this capital allocation pattern for governments' design of tax systems and license conditions. (author)

  1. Technology Investment Agendas to Expand Human Space Futures

    Science.gov (United States)

    Sherwood, Brent

    2012-01-01

    The paper develops four alternative core-technology advancement specifications, one for each of the four strategic goal options for government investment in human space flight. Already discussed in the literature, these are: Explore Mars; Settle the Moon; accelerate commercial development of Space Passenger Travel; and enable industrial scale-up of Space Solar Power for Earth. In the case of the Explore Mars goal, the paper starts with the contemporary NASA accounting of ?55 Mars-enabling technologies. The analysis decomposes that technology agenda into technologies applicable only to the Explore Mars goal, versus those applicable more broadly to the other three options. Salient technology needs of all four options are then elaborated to a comparable level of detail. The comparison differentiates how technologies or major developments that may seem the same at the level of budget lines or headlines (e.g., heavy-lift Earth launch) would in fact diverge widely if developed in the service of one or another of the HSF goals. The paper concludes that the explicit choice of human space flight goal matters greatly; an expensive portfolio of challenging technologies would not only enable a particular option, it would foreclose the others. Technologies essential to enable human exploration of Mars cannot prepare interchangeably for alternative futures; they would not allow us to choose later to Settle the Moon, unleash robust growth of Space Passenger Travel industries, or help the transition to a post-petroleum future with Space Solar Power for Earth. The paper concludes that a decades-long decision in the U.S.--whether made consciously or by default--to focus technology investment toward achieving human exploration of Mars someday would effectively preclude the alternative goals in our lifetime.

  2. Choosing the right amount of healthcare information technologies investments.

    Science.gov (United States)

    Meyer, Rodolphe; Degoulet, Patrice

    2010-04-01

    Choosing and justifying the right amount of investment in healthcare information technologies (HITECH or HIT) in hospitals is an ever increasing challenge. Our objectives are to assess the financial impact of HIT on hospital outcome, and propose decision-helping tools that could be used to rationalize the distribution of hospital finances. We used a production function and microeconomic tools on data of 21 Paris university hospitals recorded from 1998 to 2006 to compute the elasticity coefficients of HIT versus non-HIT capital and labor as regards to hospital financial outcome and optimize the distribution of investments according to the productivity associated with each input. HIT inputs and non-HIT inputs both have a positive and significant impact on hospital production (elasticity coefficients respectively of 0.106 and 0.893; R(2) of 0.92). We forecast 2006 results from the 1998 to 2005 dataset with an accuracy of +0.61%. With the model used, the best proportion of HIT investments was estimated to be 10.6% of total input and this was predicted to lead to a total saving of 388 million Euros for the 2006 dataset. Considering HIT investment from the point of view of a global portfolio and applying econometric and microeconomic tools allow the required confidence level to be attained for choosing the right amount of HIT investments. It could also allow hospitals using these tools to make substantial savings, and help them forecast their choices for the following year for better HITECH governance in the current stimulation context. (c) 2010 Elsevier Ireland Ltd. All rights reserved.

  3. Healthcare's Future: Strategic Investment in Technology.

    Science.gov (United States)

    Franklin, Michael A

    2018-01-01

    Recent and rapid advances in the implementation of technology have greatly affected the quality and efficiency of healthcare delivery in the United States. Simultaneously, diverse generational pressures-including the consumerism of millennials and unsustainable growth in the costs of care for baby boomers-have accelerated a revolution in healthcare delivery that was marked in 2010 by the passage of the Affordable Care Act.Against this backdrop, Maryland and the Centers for Medicare & Medicaid Services entered into a partnership in 2014 to modernize the Maryland All-Payer Model. Under this architecture, each Maryland hospital negotiates a global budget revenue agreement with the state's rate-setting agency, limiting the hospital's annual revenue to the budgetary cap established by the state.At Atlantic General Hospital (AGH), leaders had established a disciplined strategic planning process in which the board of trustees, medical staff, and administration annually agree on goals and initiatives to achieve the objectives set forth in its five-year strategic plans. This article describes two initiatives to improve care using technology. In 2006, AGH introduced a service guarantee in the emergency room (ER); the ER 30-Minute Promise assures patients that they will be placed in a bed or receive care within 30 minutes of arrival in the ER. In 2007, several independent hospitals in the state formed Maryland eCare to jointly contract for intensive care unit (ICU) physician coverage via telemedicine. This technology allows clinical staff to continuously monitor ICU patients remotely. The positive results of the ER 30-Minute Promise and Maryland eCare program show that technological advances in an independent, small, rural hospital can make a significant impact on its ability to maintain independence. AGH's strategic investments prepared the organization well for the transition in 2014 to a value-based payment system.

  4. Information Technology Investment Strategy Planning: Balance Scorecard Approach

    Directory of Open Access Journals (Sweden)

    Henny Hendarti

    2011-05-01

    Full Text Available Purpose of this research are to prepare the IT investment strategy using Balanced Scorecard approach in the company where the appropriate planning of this IT investment strategy can maximize the competitive benefit in the company, and it also to recommended a strategy of IT investment that can be implemented and measure the rate of return from the IT investment in the company. Research Method used book studies, field studies, and analysis system. Book studies from the books and journal. Field studies done by observation, interview, and questioner, and analysis system done by analyzed the ongoing system in the company. The result from this analysis is a recommendation in investment IT such as sales module, payment module, and report module. Then for the conclusion, this information technology investment planning can be develop to another investment implementation such authorized website of the company and using PDA (Personal Digital AssistantIndex Terms - Planning, Information Technology, Investment, Balance Scorecard

  5. Decision support for redesigning wastewater treatment technologies.

    Science.gov (United States)

    McConville, Jennifer R; Künzle, Rahel; Messmer, Ulrike; Udert, Kai M; Larsen, Tove A

    2014-10-21

    This paper offers a methodology for structuring the design space for innovative process engineering technology development. The methodology is exemplified in the evaluation of a wide variety of treatment technologies for source-separated domestic wastewater within the scope of the Reinvent the Toilet Challenge. It offers a methodology for narrowing down the decision-making field based on a strict interpretation of treatment objectives for undiluted urine and dry feces and macroenvironmental factors (STEEPLED analysis) which influence decision criteria. Such an evaluation identifies promising paths for technology development such as focusing on space-saving processes or the need for more innovation in low-cost, energy-efficient urine treatment methods. Critical macroenvironmental factors, such as housing density, transportation infrastructure, and climate conditions were found to affect technology decisions regarding reactor volume, weight of outputs, energy consumption, atmospheric emissions, investment cost, and net revenue. The analysis also identified a number of qualitative factors that should be carefully weighed when pursuing technology development; such as availability of O&M resources, health and safety goals, and other ethical issues. Use of this methodology allows for coevolution of innovative technology within context constraints; however, for full-scale technology choices in the field, only very mature technologies can be evaluated.

  6. Assessing survivability to support power grid investment decisions

    International Nuclear Information System (INIS)

    Koziolek, Anne; Avritzer, Alberto; Suresh, Sindhu; Menasché, Daniel S.; Diniz, Morganna; Souza e Silva, Edmundo de; Leão, Rosa M.; Trivedi, Kishor; Happe, Lucia

    2016-01-01

    The reliability of power grids has been subject of study for the past few decades. Traditionally, detailed models are used to assess how the system behaves after failures. Such models, based on power flow analysis and detailed simulations, yield accurate characterizations of the system under study. However, they fall short on scalability. In this paper, we propose an efficient and scalable approach to assess the survivability of power systems. Our approach takes into account the phased-recovery of the system after a failure occurs. The proposed phased-recovery model yields metrics such as the expected accumulated energy not supplied between failure and full recovery. Leveraging the predictive power of the model, we use it as part of an optimization framework to assist in investment decisions. Given a budget and an initial circuit to be upgraded, we propose heuristics to sample the solution space in a principled way accounting for survivability-related metrics. We have evaluated the feasibility of this approach by applying it to the design of a benchmark distribution automation circuit. Our empirical results indicate that the combination of survivability and power flow analysis can provide meaningful investment decision support for power systems engineers. - Highlights: • We propose metrics and models for scalable survivability analysis of power systems. • The survivability model captures the system phased-recovery, from failure to repair. • The survivability model is used as a building block of an optimization framework. • Heuristics assist in investment options accounting for survivability-related metrics.

  7. Exploring the evolution of investment pattern on advanced manufacturing technology

    DEFF Research Database (Denmark)

    Yang, Cheng; Matthiesen, Rikke Vestergaard; Johansen, John

    2014-01-01

    This paper explores the evolution of investment pattern on advanced manufacturing technology in a manner that builds on a longitudinal perspective. Based on the data of investments in AMTs from 567 manufacturing companies this paper develops a longitudinal taxonomy defined by the evolution of inv...... of technology management, which is comprised primarily of cross-sectional studies that do not address the dynamic nature of investments in AMTs.......This paper explores the evolution of investment pattern on advanced manufacturing technology in a manner that builds on a longitudinal perspective. Based on the data of investments in AMTs from 567 manufacturing companies this paper develops a longitudinal taxonomy defined by the evolution...... of investment patterns on AMT followed by companies over time; identifies the possible evolutionary features of different groups of companies; and suggests the possible explanatory and outcome factors on the evolution of investment pattern on AMTs. By doing so, this study seeks to fill a void in the area...

  8. Output-based allocation and investment in clean technologies

    Energy Technology Data Exchange (ETDEWEB)

    Rosendahl, Knut Einar; Storroesten, Halvor Briseid

    2011-07-01

    Allocation of emission allowances may affect firms' incentives to invest in clean technologies. In this paper we show that so-called output-based allocation tends to stimulate such investments as long as individual firms do not assume the regulator to tighten the allocation rule as a consequence of their investments. The explanation is that output-based allocation creates an implicit subsidy to the firms' output, which increases production, leads to a higher price of allowances, and thus increases the incentives to invest in clean technologies. On the other hand, if the firms expect the regulator to tighten the allocation rule after observing their clean technology investment, the firms' incentives to invest are moderated. If strong, this last effect may outweigh the enhanced investment incentives induced by increased output and higher allowance price. (Author)

  9. Investment Strategy of Emission-Reduction Technology in a Supply Chain

    Directory of Open Access Journals (Sweden)

    Gao Xiang Lou

    2015-08-01

    Full Text Available Greenhouse gas emissions have serious impacts on the natural environment. Therefore, the restrictions imposed on carbon emission force enterprises to take carbon emission into consideration when making production decisions. In this paper, in the context of allowing emission trading and investment of emission reduction technology, models were presented for a two-stage supply chain to analyze the optimal investment and pricing decisions. The results indicate that manufacturer’s endurance capacity of reduction difficulty is higher in the cooperation model than in the Stackelberg game model, and that perfect coordination of supply chains can be realized by a revenue sharing contract. From the perspective of a consumer, low-carbon products mean higher price, so that subsidies or tax exemptions should be provided to keep low prices. Meanwhile, the government can promote investment in emission-reduction technologies and achieve its emission reduction targets by controlling emission trading price, strengthening emission reduction publicity and providing technology investment subsidies.

  10. Investment timing decisions in a stochastic duopoly model

    Energy Technology Data Exchange (ETDEWEB)

    Marseguerra, Giovanni [Istituto di Econometria e CRANEC, Universita Cattolica del Sacro Cuore di Milan (Italy)]. E-mail: giovanni.marseguerra@unicatt.it; Cortelezzi, Flavia [Dipartimento di Diritto ed Economia delle Persone e delle Imprese, Universita dell' Insubria (Italy)]. E-mail: flavia.cortelezzi@uninsubria.it; Dominioni, Armando [CORE-Catholique de Louvain la Neuve (Belgium)]. E-mail: dominioni@core.ucl.ac.be

    2006-08-15

    We investigate the role of strategic considerations on the optimal timing of investment when firms compete for a new market (e.g., the provision of an innovative product) under demand uncertainty. Within a continuous time model of stochastic oligopoly, we show that strategic considerations are likely to be of limited impact when the new product is radically innovative whilst the fear of a rival's entry may deeply affect firms' decisions whenever innovation is to some extent limited. The welfare analysis shows surprisingly that the desirability of the different market structures considered does not depend on the fixed entry cost.

  11. Investment timing decisions in a stochastic duopoly model

    International Nuclear Information System (INIS)

    Marseguerra, Giovanni; Cortelezzi, Flavia; Dominioni, Armando

    2006-01-01

    We investigate the role of strategic considerations on the optimal timing of investment when firms compete for a new market (e.g., the provision of an innovative product) under demand uncertainty. Within a continuous time model of stochastic oligopoly, we show that strategic considerations are likely to be of limited impact when the new product is radically innovative whilst the fear of a rival's entry may deeply affect firms' decisions whenever innovation is to some extent limited. The welfare analysis shows surprisingly that the desirability of the different market structures considered does not depend on the fixed entry cost

  12. Market research on factors influencing women's preferences in investment decision making

    OpenAIRE

    Sharma, Abhishek.; Douglas, Tony.; Jaworski, Piotr.

    2017-01-01

    This study aims to gain knowledge on the factors that influence the investment decision making of women in Singapore. The research explores the fact that investment decision is being affected by the demographic, psychographic factors of the individuals. The individuals may be equal in all aspects but their investment decision varies with their own perception towards various investment plans. The research was conducted among 200 respondents through a survey so as to get an empirical findings o...

  13. Decisions on investments in photovoltaics and carbon capture and storage: A comparison between two different greenhouse gas control strategies

    International Nuclear Information System (INIS)

    Vögele, Stefan; Rübbelke, Dirk

    2013-01-01

    Decisions of electricity suppliers on investments in low-carbon energy technologies like PV (photovoltaics) and CCS (carbon capture and storage) depend on the expected profits or surpluses that can be earned. For an assessment of the profitability of investments in PV (and other renewable energy technologies), additional costs caused by the fluctuation in PV power plants' productivity and by the need for backup capacities have to be taken into account. Changes in the rest of the power plant stock will via their influence on the merit-order curve also affect the return on investment. Bearing these aspects in mind, it might become more attractive to invest in alternative technologies like CCS than to channel the investments towards PV in combination with backup power plants. In our study we compare investments in CCS and PV regarding possible merit-order effects and profitability, using investments in Germany as an example. - Highlights: • We compare CCS and PV as CO 2 reduction strategies and focus on merit-order effects. • CCS has higher marginal cost than PV, but CCS does not need backup capacities. • Merit-order effects influence the profitability of investments in CCS and PV. • CCS investments at moderate rates tend to be more beneficial than investments in PV. • However, legal restrictions and lack of acceptance constitute limiting factors

  14. Rejection or selection: influence of framing in investment decisions.

    Science.gov (United States)

    Cheng, Pi-Yueh; Chiou, Wen-Bin

    2010-02-01

    According to prospect theory, reflection effects result in preferences for risk-averse choices in gain situations and risk-seeking choices in loss situations. However, relevant literature in regard to decision making has suggested that positive information receives more weight in a selection task, whereas negative information receives more weight in a rejection task. The present study examined whether the nature of a decision task (selection vs rejection) would moderate the reflection effects. Undergraduates (47 men, 49 women; M age = 20.5 yr., SD = 1.1), selected according to specific screening criteria, participated in an experimental study. Typical reflection effects were observed in both selection and rejection task conditions. More importantly, negative information (i.e., the information about probable loss in risky choice of gain situations and the information about certain loss in cautious choice of loss situations) provided in the context of a rejection task received more weight and resulted in more frequent endorsements of the cautious choice in gain situations and of the risky choice in loss situations. Hence, the findings suggest that a decision context characterized by rejection may expand the reflection effects and thereby provide important information about situations in which investment decisions occur in a context characterized by rejection.

  15. Corporate Decision Making and SocioEnvironmental Investments In Brazil: An Analysis Based On Social Audits

    Directory of Open Access Journals (Sweden)

    André Luiz Bufoni

    2012-06-01

    indicate a significant correlation between the amount of environmental investments and variables such as age, level of education, professional training of employees and profit-sharing policies. However, no significant correlation between environmental investments and profitability was found. The analysis revealed a linkage between decisions to invest in the environment and social investments outside the firm.

  16. ACCOUNTING INFORMATION – A BASIS FOR ACHIEVING THE DECISION FOR THE REALIZATION OF PUBLIC INVESTMENT PROJECT

    Directory of Open Access Journals (Sweden)

    2012-12-01

    Full Text Available Accounting information plays a key role in the foundation process of public sector decisions. Financing budget deficits, treasury risk identification (availability risk, formation of tax claims, foundation of financial sustainability for public investment projects are just some examples of using accounting information in decision-making process of credit accountant. How can we use and process accounting information in the foundation of public investment projects? We will try to answer this question in the content of this paper. The revenues and expenses, as accounting information, are necessary for determining the actual financial net value and/or the actual economic net value. These indicators have decisive information power in accepting and / or rejecting public investment projects. In the current economic context, the importance of investments is major for at least three reasons: the first one is a highly circulated reason in the last 20 years: the increase of technology, the alignment of the technology used in the alignment of competitors from the European market and even worldwide; the second reason is linked to the support of economic growth in crisis conditions through a policy of major investments especially in the infrastructure sector; the third reason, which derives from the second one, is that of post-accession grant funds available for investment both in private and public sectors. The importance given to public investments is also revealed by the authorities' approach to establishing key areas of interventions under grant programs (with programs designed to both public and private environment designed exclusively to carry out public investment programs (for example the POS Transport. In this context, the present research is intended to be a documentary of the role that accounting information plays in decision-making process that precedes the development of an investment, especially as most major investments are made in the public

  17. Applying the Theory of the Firm to Examine a Technology Startup at the Investment Stage

    Directory of Open Access Journals (Sweden)

    Michael Ayukawa

    2012-05-01

    Full Text Available The investment stage of a new technology firm is when resources, opportunities, investors, and early customers first converge. Currently, technology entrepreneurs make many expensive mistakes. They invest in assets and develop capabilities that prove to have limited value. They take too long to discover and validate the product-market fit for their firms during the investment stage and run out of time and money. Understanding how theory can help entrepreneurs make decisions during the investment stage is important to accelerate new-firm formation and growth as well as to reduce the uncertainty of founders and stakeholders of technology firms. This article introduces a model developed to examine deal making during the investment stage of a new technology firm. It is an extension of a model of lateral firm scope proposed by Oliver Hart and Bengt Holmstrom. The extensions come from considering a technology firm as being both a deal-making entity and a pool of resources during the investment stage. A deal is the result of a decision the entrepreneur and others make to coordinate (i.e., work together to achieve a common objective. Benefits from a deal include cash profits for the firm and private benefits for the entrepreneur. This extended model is then applied to examine the author’s firm which is still in the investment stage. Application of the extended model to a real-life situation generated two important insights: i when private benefits include learning from experimentation, the number of deals increases and ii at the start of the investment stage, private benefits drive deal-making, whereas at the end of the investment stage, cash profits derived from asset ownership drive deal-making.

  18. Design, Development and Implementation of Decision Support Systems for Private Equity Investment

    OpenAIRE

    Vroomen, Paul

    2017-01-01

    The objective of this research is to design, develop and implement an intelligent decision support system (IDSS) for making rational private equity investment decisions. (Private equity investments are capital investments in enterprises that are not traded on public equity markets; they include Equity Buy-Out, Venture Capital, and the new Equity Crowd Funding (ECF) asset classes). The design and development of the IDSS requires the integration of investment science (valuation theory, portfoli...

  19. Companies Credit Risk Assessment Methods for Investment Decision Making

    Directory of Open Access Journals (Sweden)

    Dovilė Peškauskaitė

    2017-06-01

    Full Text Available As the banks have tightened lending requirements, companies look for alternative sources of external funding. One of such is bonds issue. Unfortunately, corporate bonds issue as a source of funding is rare in Lithuania. This occurs because companies face with a lack of information, investors fear to take on credit risk. Credit risk is defined as a borrower’s failure to meet its obligation. Investors, in order to avoid credit risk, have to assess the state of the companies. The goal of the article is to determine the most informative methods of credit risk assessment. The article summarizes corporate lending sources, analyzes corporate default causes and credit risk assessment methods. The study based on the SWOT analysis shows that investors before making an investment decision should evaluate both the business risk,using qualitative method CAMPARI, and the financial risk, using financial ratio analysis.

  20. Technology transfers, foreign investment and productivity spillovers

    DEFF Research Database (Denmark)

    Newman, Carol; Rand, John; Talbot, Theodore Purdendu

    2015-01-01

    This paper explores the relationship between foreign direct investment (FDI) and the productivity of host country domestic firms. We rely on a specially designed survey of over 4000 manufacturing firms in Vietnam, and separate out productivity gains along the supply chain (obtained through direct...

  1. Technology Transfer, Foreign Direct Investment and Economic ...

    African Journals Online (AJOL)

    2015-05-29

    May 29, 2015 ... Investment and Economic Growth in Nigeria. Omojola ... view of FDI and trade, towards a more friendly view, by using FDI and trade as ..... the automatically selected Schwarz Info Criterion and the maximum lags, in ..... National Bureau of Statistics [NBS], 2007, 'National account of Nigeria: 1981-. 2006' ...

  2. Interactions Among Insider Ownership, Dividend Policy, Debt Policy, Investment Decision, and Business Risk

    OpenAIRE

    F., Indri Erkaningrum

    2013-01-01

    The study of interaction among insider ownership, dividend policy, debt policy, investment decision, and business risk is still conducted. This research aims at investigating theinfluencing factors of insider ownership, dividend policy, debt policy, investment decision, business risk, and the interaction among insider ownership, dividend policy, debt policy, investment decision, and business risk. The samples of the research are 137 manufacturing companies listed in the Indonesia Stock Exchan...

  3. INTERACTIONS AMONG INSIDER OWNERSHIP, DIVIDEND POLICY, DEBT POLICY, INVESTMENT DECISION, AND BUSINESS RISK

    OpenAIRE

    F., Indri Erkaningrum

    2015-01-01

    The study of interaction among insider ownership, dividend policy, debt policy, investment decision, and business risk is still conducted. This research aims at investigating theinfluencing factors of insider ownership, dividend policy, debt policy, investment decision, business risk, and the interaction among insider ownership, dividend policy, debt policy, investment decision, and business risk. The samples of the research are 137 manufacturing companies listed in the Indonesia Stock Exchan...

  4. NASA ESTO Lidar Technologies Investment Strategy: 2016 Decadal Update

    Science.gov (United States)

    Valinia, Azita; Komar, George J.; Tratt, David M.; Lotshaw, William T.; Gaab, Kevin M.

    2017-01-01

    The NASA Earth Science Technology Office (ESTO) recently updated its investment strategy in the area of lidar technologies as it pertains to NASA's Earth Science measurement goals in the next decade. The last ESTO lidar strategy was documented in 2006. The current (2016) report assesses the state-of-the-art in lidar technologies a decade later. Lidar technology maturation in the past decade has been evaluated, and the ESTO investment strategy is updated and laid out in this report according to current NASA Earth science measurement needs and new emerging technologies.

  5. Uncertain Dynamics, Correlation Effects, and Robust Investment Decisions

    DEFF Research Database (Denmark)

    Flor, Christian Riis; Hesel, Søren

    2015-01-01

    We analyze a firm's investment problem when the dynamics of project value and investment cost are uncertain. We provide an explicit solution using a robust method for an ambiguity averse firm taking this into account. Ambiguity aversion regarding a common risk factor impacts differently than...... ambiguity aversion regarding investment cost residual risk. Correlation between project value and investment cost matters; ambiguity aversion regarding common risk can decrease the investment probability only if correlation is positive. Ambiguity aversion regarding residual risk always increases...... the investment probability. When only project value is risky, volatility can monotonically decrease the investment threshold; this does not hold with the multiple prior method....

  6. Notification: EPA Investments in Information Technology Products and Services

    Science.gov (United States)

    Project #OA-FY14-0307, June 10, 2014. The U.S. Environmental Protection Agency (EPA) Office oflnspector General (OIG) plans to begin preliminary research on the EPA's management of information technology (IT) investments.

  7. NASA Program Office Technology Investments to Enable Future Missions

    Science.gov (United States)

    Thronson, Harley; Pham, Thai; Ganel, Opher

    2018-01-01

    The Cosmic Origins (COR) and Physics of the Cosmos (PCOS) Program Offices (POs) reside at NASA GSFC and implement priorities for the NASA HQ Astrophysics Division (APD). One major aspect of the POs’ activities is managing our Strategic Astrophysics Technology (SAT) program to mature technologies for future strategic missions. The Programs follow APD guidance on which missions are strategic, currently informed by the NRC’s 2010 Decadal Survey report, as well as APD’s Implementation Plan and the Astrophysics Roadmap.In preparation for the upcoming 2020 Decadal Survey, the APD has established Science and Technology Definition Teams (STDTs) to study four large-mission concepts: the Origins Space Telescope (née, Far-IR Surveyor), Habitable Exoplanet Imaging Mission, Large UV/Optical/IR Surveyor, and Lynx (née, X-ray Surveyor). The STDTs will develop the science case and design reference mission, assess technology development needs, and estimate the cost of their concept. A fifth team, the L3 Study Team (L3ST), was charged to study potential US contributions to ESA’s planned Laser Interferometer Space Antenna (LISA) gravitational-wave observatory.The POs use a rigorous and transparent process to solicit technology gaps from the scientific and technical communities, and prioritize those entries based on strategic alignment, expected impact, cross-cutting applicability, and urgency. For the past two years, the technology-gap assessments of the four STDTs and the L3ST are included in our process. Until a study team submits its final report, community-proposed changes to gaps submitted or adopted by a study team are forwarded to that study team for consideration.We discuss our technology development process, with strategic prioritization informing calls for SAT proposals and informing investment decisions. We also present results of the 2017 technology gap prioritization and showcase our current portfolio of technology development projects. To date, 96 COR and 86

  8. Application of Decision Analysis to Evaluate Alternative Research and Development Investments

    National Research Council Canada - National Science Library

    Artelli, Michael

    1998-01-01

    .... In contrast to the current ad hoc approach, decision analysis provides an explicit and easily explained rationale for investment choices, complete and consistent incorporation of multiple objectives...

  9. Investment appraisal of technology innovations on dairy farm electricity consumption.

    Science.gov (United States)

    Upton, J; Murphy, M; De Boer, I J M; Groot Koerkamp, P W G; Berentsen, P B M; Shalloo, L

    2015-02-01

    The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated the effect of 6 technology investment scenarios on the electricity consumption and electricity costs of the 3 largest electricity-consuming systems within the dairy farm (i.e., milk-cooling, water-heating, and milking machine systems). The technology investment scenarios were direct expansion milk-cooling, ice bank milk-cooling, milk precooling, solar water-heating, and variable speed drive vacuum pump-milking systems. A dairy farm profitability calculator was combined with the electricity consumption model to assess the effect of each investment scenario on the total discounted net income over a 10-yr period subsequent to the investment taking place. Included in the calculation were the initial investments, which were depreciated to zero over the 10-yr period. The return on additional investment for 5 investment scenarios compared with a base scenario was computed as the investment appraisal metric. The results of this study showed that the highest return on investment figures were realized by using a direct expansion milk-cooling system with precooling of milk to 15°C with water before milk entry to the storage tank, heating water with an electrical water-heating system, and using standard vacuum pump control on the milking system. Return on investment figures did not exceed the suggested hurdle rate of 10% for any of the ice bank scenarios, making the ice bank system reliant on a grant aid framework to reduce the initial capital investment and improve the return on investment. The solar water-heating and variable speed drive vacuum pump scenarios failed to produce positive return on investment figures on any of the 3 farm sizes considered on either the day and night

  10. Investments in technology subject to uncertainty. Analysis and policy

    DEFF Research Database (Denmark)

    Pedersen, Jørgen Lindgaard

    1997-01-01

    Investments in technology are today of such a magnitude that it matters. In the paper there are three important questions. First on the question in which sense technological uncertainty can be said to be a problem. Second on strategies for diminishing technological uncertainties. Three on policy...

  11. Concentrating solar power plant investment and operation decisions under different price and support mechanisms

    International Nuclear Information System (INIS)

    Kost, Christoph; Flath, Christoph M.; Möst, Dominik

    2013-01-01

    The dispatch opportunities provided by storage-enhanced Concentrating Solar Power (CSP) plants have direct implications on the investment decisions as not only nameplate capacity but also the storage capacity and the solar multiple play a crucial role for the viability of the plant investment. By integrating additional technical aspects and operation strategies, this paper extends the optimization model proposed by Madaeni et al., How Thermal Energy Storage Enhances the Economic Viability of Concentrating Solar Power. Using a mixed integer maximization approach the paper yields both the optimal layout decision and the operation of CSP plants. Subsequently, the economic value of CSP storage is analyzed via energy modeling of a Spanish plant location under the respective wholesale market prices as well as the local feed-in tariff. The analysis shows that investment incentives for CSP plants with storage need to appropriately account for the interdependency between the price incentives and the plant operating strategy. As the resulting revenue characteristics influence the optimal size of solar field and storage differing operating strategies also give rise to differing optimal plant layouts. Most noteworthy, the current Spanish support scheme offers only limited incentives for larger thermal storage capacity. - Highlights: • Dispatch opportunities of CSP have direct implications on both investment and operational decisions. • Valuation approach with a single mixed integer maximization problem. • Profitability of CSP plants under the premium feed-in tariff in Spain was assessed. • Layout decision and storage size are influenced by remuneration scheme. • Discuss alternative remuneration schemes for “dispatchable” RE technologies

  12. The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings

    International Nuclear Information System (INIS)

    Masini, Andrea; Menichetti, Emanuela

    2012-01-01

    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.

  13. Decision Support Tool for Prioritization of Surveillance and Maintenance Investment

    International Nuclear Information System (INIS)

    Velez, L.Y.; Conley, T.B.

    2009-01-01

    The Department of Energy (DOE) currently faces a difficult task in the disposition of the numerous excess or to-be excessed facilities owned by the Department. Many of these facilities are in various physical conditions and contain potentially hazardous nuclear, chemical, radiological or industrial materials left behind as a byproduct of nuclear weapons production, nuclear powered naval vessels and commercial nuclear energy production. During the last period of a facility's life cycle, it is important that surveillance and maintenance (S and M) be adequate to maintain the facility within an appropriate safety envelope. Inadequate investment in maintenance can cause facilities to deteriorate to the point they are unsafe for human entry. Too often this can mean tremendous increases to cost during deactivation and decommissioning (D and D). However, experiences often show that once buildings have been declared excess and enter the transition phase (as defined in DOE G 430.1-5 Transition Implementation Guide), maintenance budgets are drastically reduced. This is justified by the desire to not spend money 'on a building that is being torn down'. The objective of this study was to provide the U.S. Department of Energy (DOE) Environmental Management (EM) federal project directors and their contractors with a decision support tool to aid in prioritizing S and M investment across a site's excess facilities so that the limited budget available can be used most effectively. The analytical hierarchy process (AHP), a multi-criteria decision making method developed by Dr. Thomas Saaty in the 1970's, was used to derive the weight of importance of a defined list of risk-based criteria and typical S and M activities. A total of 10 facilities at the Oak Ridge National Laboratory (ORNL) varying in perceived hazards and conditions were chosen to test the tool by evaluating them with respect to each risk criterion and combining these results with the weight of importance of the S and M

  14. U.S. infrastructure : funding trends and opportunities to improve investment decisions

    Science.gov (United States)

    2000-02-01

    Given the profound economic and social importance of the public infrastructure, it is crucial that federal, state, and local governments make prudent decisions on how to invest limited available resources. In making these decisions, governments will ...

  15. Warfighter decision making performance analysis as an investment priority driver

    Science.gov (United States)

    Thornley, David J.; Dean, David F.; Kirk, James C.

    2010-04-01

    Estimating the relative value of alternative tactics, techniques and procedures (TTP) and information systems requires measures of the costs and benefits of each, and methods for combining and comparing those measures. The NATO Code of Best Practice for Command and Control Assessment explains that decision making quality would ideally be best assessed on outcomes. Lessons learned in practice can be assessed statistically to support this, but experimentation with alternate measures in live conflict is undesirable. To this end, the development of practical experimentation to parameterize effective constructive simulation and analytic modelling for system utility prediction is desirable. The Land Battlespace Systems Department of Dstl has modeled human development of situational awareness to support constructive simulation by empirically discovering how evidence is weighed according to circumstance, personality, training and briefing. The human decision maker (DM) provides the backbone of the information processing activity associated with military engagements because of inherent uncertainty associated with combat operations. To develop methods for representing the process in order to assess equipment and non-technological interventions such as training and TTPs we are developing componentized or modularized timed analytic stochastic model components and instruments as part of a framework to support quantitative assessment of intelligence production and consumption methods in a human decision maker-centric mission space. In this paper, we formulate an abstraction of the human intelligence fusion process from the Defence Science and Technology Laboratory's (Dstl's) INCIDER model to include in our framework, and synthesize relevant cost and benefit characteristics.

  16. THE INFLUENCE OF THE NET PROFIT OVER THE INVESTMENT DECISION MAKING

    Directory of Open Access Journals (Sweden)

    Mihaela GADOIU

    2017-12-01

    Full Text Available This article aims at analysing how the investment decision is influenced by the final result of the activity of an entity after paying the profit tax. Starting from the need to make investments in order to ensure the economic efficiency and subsequently the economic growth, we sought to capture both the advantages and the disadvantages of the various versions that must be considered for the selection of the investment project. From the perspective of the presentation of this topic, we have analysed, in addition to the aspects related to the notion of investment, the investment typology, the decision to invest in a certain environment, and a number of economic and financial indicators used in order to make an investment decision.

  17. Technology Transfer, Foreign Direct Investment and International Trade

    OpenAIRE

    Leonard K. Cheng

    2000-01-01

    By developing a Ricardian trade model that features technology transfer via foreign direct investment (FDI), we show that technology transfer via multinational enterprises (MNEs) increases world output and trade in goods and services. When there are many goods a continuous reduction in the cost of technology transfer will cause increasingly more technologically advanced goods to go through the product cycle, i.e., goods initially produced in the advanced North are later produced in the backwa...

  18. Baseload coal investment decisions under uncertain carbon legislation.

    Science.gov (United States)

    Bergerson, Joule A; Lave, Lester B

    2007-05-15

    More than 50% of electricity in the U.S. is generated by coal. The U.S. has large coal resources, the cheapest fuel in most areas. Coal fired power plants are likely to continue to provide much of U.S. electricity. However, the type of power plant that should be built is unclear. Technology can reduce pollutant discharges and capture and sequester the CO2 from coal-fired generation. The U.S. Energy Policy Act of 2005 provides incentives for large scale commercial deployment of Integrated Coal Gasification Combined Cycle (IGCC) systems (e.g., loan guarantees and project tax credits). This analysis examines whether a new coal plant should be Pulverized Coal (PC) or IGCC. Do stricter emissions standards (PM, SO2, NOx, Hg) justify the higher costs of IGCC over PC? How does potential future carbon legislation affect the decision to add carbon capture and storage (CCS) technology? Finally, can the impact of uncertain carbon legislation be minimized? We find that SO2, NOx, PM, and Hg emission standards would have to be far more stringent than twice current standards to justify the increased costs of the IGCC system. A C02 tax less than $29/ton would lead companies to continuing to choose PC, paying the tax for emitted CO2. The earlier a decision-maker believes the carbon tax will be imposed and the higher the tax, the more likely companies will choose IGCC w/CCS. Having government announce the date and level of a carbon tax would promote more sensible decisions, but government would have to use a tax or subsidy to induce companies to choose the technology that is best for society.

  19. A Method on the Item Investment Risk Interval Decision-making of Processing Ranking Style

    Institute of Scientific and Technical Information of China (English)

    CHEN Li-wen

    2002-01-01

    In this paper, on the bases of the defeot of riskful type and indefinite type decisions, the concept of the type of item investment probability scheduling decision is given, and a linear programming model and its solution are made out. The feasibility of probability scheduling type item investment plan is studied by applying the quality of interval arithmetic.

  20. Corporate investment decisions and economic analysis. Exercises and case studies

    International Nuclear Information System (INIS)

    Babusiaux, D.; Pierru, A.

    2005-01-01

    Economic analysis of industrial projects is based on methods which are often simple, sometimes complex, yet always to be applied with rigor. The aim of this book is to help readers assimilate the concepts and methods for investment decision and project evaluation. It offers a wide range of exercises, problems and case studies taken from business, which are the fruit of many years of teaching, consulting and research. Some are direct application of basics, others require a higher degree of reflection for more complex applications. Our approach borrows elements from micro economics, engineering economics and finance theory. While many examples relate to the energy sector, particularly oil and gas, the problems addressed are of broader scope and so are fully applicable to other industry sectors. This book is ideally suited to both professionals and students who seek to master capital budgeting techniques. A review of essential points is proposed at the beginning of each chapter and key methodological elements are recalled in the solutions. (authors)

  1. Enterprise identity management towards an investment decision support approach

    CERN Document Server

    Royer, Denis

    2013-01-01

    ?The introduction of Enterprise Identity Management Systems (EIdMS) in organizations even beyond the purely technological level is a costly and challenging endeavor. However, for decision makers it seems difficult to fully understand the impacts and opportunities arising from the introduction of EIdMS. This book explores the relevant aspects for an ex-ante evaluation of EIdMS. Therefore it examines this domain by employing a qualitative expert interview study to better understand the nature of EIdMS, as they are situated between security and productive IT systems. To this regard, the focus is

  2. Geothermal power plant investment decisions. Interim report, June 1-November 30, 1979

    Energy Technology Data Exchange (ETDEWEB)

    Cassel, T.A.V.; Amundsen, C.B.; Edelstein, R.H.; Blair, P.D.

    1979-12-01

    Investment decisions for financing the construction of geothermal power plants are discussed. Discussed here are the investment objectives of investor-owned electric utilities, municipal electric utilities, and potential third party financiers as determined from extensive reviews of literature, executive interviews and responses to mailed surveys. The framework is provided for a computerized quantitative decision model currently being developed at Technecon for investment and policy analysis applications. (MHR)

  3. Differences in decision-making criteria towards the return on marketing investment: A project business perspective

    OpenAIRE

    Smyth, H.; Lecoeuvre, L.

    2015-01-01

    Assessing the value of marketing to a business remains a thorny issue in theory and practice. Decision-making at the finance–marketing interface is under-researched, particularly for project businesses. Confronted by demands of accountability concerning the allocation of resources to meet competitive pressures, the paper examines the quality and extent of dialogue in investment decision-making. The return on investment (ROI) and marketing-specific investment (ROMI) are important factors at th...

  4. Technology Infusion Challenges from a Decision Support Perspective

    Science.gov (United States)

    Adumitroaie, V.; Weisbin, C. R.

    2009-01-01

    In a restricted science budget environment and increasingly numerous required technology developments, the technology investment decisions within NASA are objectively more and more difficult to make such that the end results are satisfying the technical objectives and all the organizational constraints. Under these conditions it is rationally desirable to build an investment portfolio, which has the highest possible technology infusion rate. Arguably the path to infusion is subject to many influencing factors, but here only the challenges associated with the very initial stages are addressed: defining the needs and the subsequent investment decision-support process. It is conceivable that decision consistency and possibly its quality suffer when the decision-making process has limited or no traceability. This paper presents a structured decision-support framework aiming to provide traceable, auditable, infusion- driven recommendations towards a selection process in which these recommendations are used as reference points in further discussions among stakeholders. In this framework addressing well-defined requirements, different measures of success can be defined based on traceability to specific selection criteria. As a direct result, even by using simplified decision models the likelihood of infusion can be probed and consequently improved.

  5. A System Model of Increasing the Investment Potential of Technologically Unrelated Sectors

    Directory of Open Access Journals (Sweden)

    Melnyk Alexander G.

    2016-02-01

    Full Text Available The article presents a theoretical substantiation and the progress of practical application of the method for evaluating lagged effects of increasing the investment potential of interaction between industries in meso-level innovation systems on the example of the high-tech sector of Ukraine. The interaction data are considered in terms of their formation in such technologically unrelated sectors as the industrial sector and sector of education and sciences. It has been determined that the analytical basis to form the models of increasing the investment potential in innovation systems of meso-level should be presented by a comprehensive integrated assessment of all sectors involved in the reproduction process including technologically unrelated sectors of highly structured innovative systems. There has been proposed a system model of increasing the investment potential of the high-tech sector taking into account the optimization and synergy effects for system decisions concerning technologically unrelated sectors in economic systems of innovation type of reproduction.

  6. The Investments in Renewable Energy Sources: Do Low Carbon Economies Better Invest in Green Technologies?

    Directory of Open Access Journals (Sweden)

    Antonio Angelo Romano

    2011-01-01

    Full Text Available The aim of this study is to analyse the driving of investment in renewable energy sources in low carbon and high carbon economies. To address these issues, a dynamic panel analysis of the renewable investment in a sample of 29 countries was proposed. Results demonstrate that the dynamic of investments in renewable sources is similar in the two panels, and depends by nuclear power generation, GDP and technological efficiency. Results show that countries try to reduce their environmental footprint, decreasing the CO2 intensity. Based on the estimation results, we think that energy sustainability passes through the use of renewable resources that can complement the nuclear technology on condition that both exceed their limits.

  7. Investigation of Multi-Criteria Decision Consistency: A Triplex Approach to Optimal Oilfield Portfolio Investment Decisions

    Science.gov (United States)

    Qaradaghi, Mohammed

    Complexity of the capital intensive oil and gas portfolio investments is continuously growing. It is manifested in the constant increase in the type, number and degree of risks and uncertainties, which consequently lead to more challenging decision making problems. A typical complex decision making problem in petroleum exploration and production (E&P) is the selection and prioritization of oilfields/projects in a portfolio investment. Prioritizing oilfields maybe required for different purposes, including the achievement of a targeted production and allocation of limited available development resources. These resources cannot be distributed evenly nor can they be allocated based on the oilfield size or production capacity alone since various other factors need to be considered simultaneously. These factors may include subsurface complexity, size of reservoir, plateau production and needed infrastructure in addition to other issues of strategic concern, such as socio-economic, environmental and fiscal policies, particularly when the decision making involves governments or national oil companies. Therefore, it would be imperative to employ decision aiding tools that not only address these factors, but also incorporate the decision makers' preferences clearly and accurately. However, the tools commonly used in project portfolio selection and optimization, including intuitive approaches, vary in their focus and strength in addressing the different criteria involved in such decision problems. They are also disadvantaged by a number of drawbacks, which may include lacking the capacity to address multiple and interrelated criteria, uncertainty and risk, project relationship with regard to value contribution and optimum resource utilization, non-monetary attributes, decision maker's knowledge and expertise, in addition to varying levels of ease of use and other practical and theoretical drawbacks. These drawbacks have motivated researchers to investigate other tools and

  8. Characterizing uncertain sea-level rise projections to support investment decisions

    Science.gov (United States)

    Lempert, Robert J.; Wikman-Svahn, Per; Keller, Klaus

    2018-01-01

    Many institutions worldwide are considering how to include uncertainty about future changes in sea-levels and storm surges into their investment decisions regarding large capital infrastructures. Here we examine how to characterize deeply uncertain climate change projections to support such decisions using Robust Decision Making analysis. We address questions regarding how to confront the potential for future changes in low probability but large impact flooding events due to changes in sea-levels and storm surges. Such extreme events can affect investments in infrastructure but have proved difficult to consider in such decisions because of the deep uncertainty surrounding them. This study utilizes Robust Decision Making methods to address two questions applied to investment decisions at the Port of Los Angeles: (1) Under what future conditions would a Port of Los Angeles decision to harden its facilities against extreme flood scenarios at the next upgrade pass a cost-benefit test, and (2) Do sea-level rise projections and other information suggest such conditions are sufficiently likely to justify such an investment? We also compare and contrast the Robust Decision Making methods with a full probabilistic analysis. These two analysis frameworks result in similar investment recommendations for different idealized future sea-level projections, but provide different information to decision makers and envision different types of engagement with stakeholders. In particular, the full probabilistic analysis begins by aggregating the best scientific information into a single set of joint probability distributions, while the Robust Decision Making analysis identifies scenarios where a decision to invest in near-term response to extreme sea-level rise passes a cost-benefit test, and then assembles scientific information of differing levels of confidence to help decision makers judge whether or not these scenarios are sufficiently likely to justify making such investments

  9. Characterizing uncertain sea-level rise projections to support investment decisions.

    Science.gov (United States)

    Sriver, Ryan L; Lempert, Robert J; Wikman-Svahn, Per; Keller, Klaus

    2018-01-01

    Many institutions worldwide are considering how to include uncertainty about future changes in sea-levels and storm surges into their investment decisions regarding large capital infrastructures. Here we examine how to characterize deeply uncertain climate change projections to support such decisions using Robust Decision Making analysis. We address questions regarding how to confront the potential for future changes in low probability but large impact flooding events due to changes in sea-levels and storm surges. Such extreme events can affect investments in infrastructure but have proved difficult to consider in such decisions because of the deep uncertainty surrounding them. This study utilizes Robust Decision Making methods to address two questions applied to investment decisions at the Port of Los Angeles: (1) Under what future conditions would a Port of Los Angeles decision to harden its facilities against extreme flood scenarios at the next upgrade pass a cost-benefit test, and (2) Do sea-level rise projections and other information suggest such conditions are sufficiently likely to justify such an investment? We also compare and contrast the Robust Decision Making methods with a full probabilistic analysis. These two analysis frameworks result in similar investment recommendations for different idealized future sea-level projections, but provide different information to decision makers and envision different types of engagement with stakeholders. In particular, the full probabilistic analysis begins by aggregating the best scientific information into a single set of joint probability distributions, while the Robust Decision Making analysis identifies scenarios where a decision to invest in near-term response to extreme sea-level rise passes a cost-benefit test, and then assembles scientific information of differing levels of confidence to help decision makers judge whether or not these scenarios are sufficiently likely to justify making such investments

  10. Characterizing uncertain sea-level rise projections to support investment decisions.

    Directory of Open Access Journals (Sweden)

    Ryan L Sriver

    Full Text Available Many institutions worldwide are considering how to include uncertainty about future changes in sea-levels and storm surges into their investment decisions regarding large capital infrastructures. Here we examine how to characterize deeply uncertain climate change projections to support such decisions using Robust Decision Making analysis. We address questions regarding how to confront the potential for future changes in low probability but large impact flooding events due to changes in sea-levels and storm surges. Such extreme events can affect investments in infrastructure but have proved difficult to consider in such decisions because of the deep uncertainty surrounding them. This study utilizes Robust Decision Making methods to address two questions applied to investment decisions at the Port of Los Angeles: (1 Under what future conditions would a Port of Los Angeles decision to harden its facilities against extreme flood scenarios at the next upgrade pass a cost-benefit test, and (2 Do sea-level rise projections and other information suggest such conditions are sufficiently likely to justify such an investment? We also compare and contrast the Robust Decision Making methods with a full probabilistic analysis. These two analysis frameworks result in similar investment recommendations for different idealized future sea-level projections, but provide different information to decision makers and envision different types of engagement with stakeholders. In particular, the full probabilistic analysis begins by aggregating the best scientific information into a single set of joint probability distributions, while the Robust Decision Making analysis identifies scenarios where a decision to invest in near-term response to extreme sea-level rise passes a cost-benefit test, and then assembles scientific information of differing levels of confidence to help decision makers judge whether or not these scenarios are sufficiently likely to justify making

  11. Transportation Energy Futures Series: Vehicle Technology Deployment Pathways: An Examination of Timing and Investment Constraints

    Energy Technology Data Exchange (ETDEWEB)

    Plotkin, S.; Stephens, T.; McManus, W.

    2013-03-01

    Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

  12. Transportation Energy Futures Series. Vehicle Technology Deployment Pathways. An Examination of Timing and Investment Constraints

    Energy Technology Data Exchange (ETDEWEB)

    Plotkin, Steve [Argonne National Lab. (ANL), Argonne, IL (United States); Stephens, Thomas [Argonne National Lab. (ANL), Argonne, IL (United States); McManus, Walter [Oakland Univ., Rochester, MI (United States)

    2013-03-01

    Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

  13. Promoting energy efficiency investments with risk management decision tools

    International Nuclear Information System (INIS)

    Jackson, Jerry

    2010-01-01

    This paper reviews current capital budgeting practices and their impact on energy efficiency investments. The prevalent use of short payback 'rule-of-thumb' requirements to screen efficiency projects for risk is shown to bias investment choices towards 'sure bet' investments bypassing many profitable efficiency investment options. A risk management investment strategy is presented as an alternative to risk avoidance practices applied with payback thresholds. The financial industry risk management tool Value-at-Risk is described and extended to provide an Energy-Budgets-at-Risk or EBaR risk management analysis to convey more accurate energy efficiency investment risk information. The paper concludes with recommendations to expand the use of Value-at-Risk-type energy efficiency analysis.

  14. Technology Transfer, Foreign Direct Investment and Economic ...

    African Journals Online (AJOL)

    The aim of this study is to investigate the long-run equilibrium relationship between various international factors and economic growth, as well as to assess the short-term impact of inward FDI, trade and economic growth on international technology transfer to Nigeria. To achieve this, the study used a time series data from ...

  15. How Korean Venture Capitals Invest In New Technology Ventures

    Directory of Open Access Journals (Sweden)

    Youngkeun Choi

    2013-01-01

    Full Text Available In the entrepreneurship field, this study examines what kinds of external endorsements are helpful for venture capitals investment and the growth of new technology ventures in developing countries. This study uses the signalling theory and the methodologies of multiple regression and survival analysis with the panel data of the ventures in Korea. In the results, collaboration with business groups and certification of government are positively influential in attracting venture capitals’ investment, which accelerate the growth of new technology ventures. The practical implication for entrepreneurs is that they need to obtain the endorsement from business groups and governments strategically.

  16. Assessing the capital efficiency of healthcare information technologies investments: an econometric perspective.

    Science.gov (United States)

    Meyer, Rodolphe; Degoulet, Patrice

    2008-01-01

    To examine the different methods that can be used in the quantification of the added value of information technologies (IT) in the health care sector. This quantification represents a major issue for decision-makers and health care professionals when they have to plan an IT investment. Articles were chosen via Medline, internet and the University of Geneva bibliographic portal. Some of the papers were obtained directly from their authors. We examine the most current methods used to evaluate IT return on investment (ROI) in the general business and in the health care sector, drawing attention on methods traditionally used in macroeconomic studies that could reveal themselves disruptive for IT ROI impact evaluation in hospitals. Financial and accounting methods can provide interesting data on a specific IT project but are usually incomplete for revealing the global IT investment influence. Econometric methods tend to demonstrate the positive impact of health care IT (HIT) on hospital production and productivity. Hospitals having higher levels of IT investment tend to deliver a higher level of clinical quality and show improved hospital cost performances. Information technologies are so intermingled with people and processes that the identification of specific IT benefit remains questionable. Using macroeconomic tools could be the best way to analyze and compute IT ROI in health care. Econometric tools take into account all types investments (inputs) and all the returns (outputs) enabling the precise measurement of IT investments impact, breakeven points, and possible threshold levels, thus providing helpful intelligence to reach the higher levels of IT governance in hospitals.

  17. Study on generation investment decision-making considering multi-agent benefit for global energy internet

    Science.gov (United States)

    Li, Pai; Huang, Yuehui; Jia, Yanbing; Liu, Jichun; Niu, Yi

    2018-02-01

    Abstract . This article has studies on the generation investment decision in the background of global energy interconnection. Generation investment decision model considering the multiagent benefit is proposed. Under the back-ground of global energy Interconnection, generation investors in different clean energy base not only compete with other investors, but also facing being chosen by the power of the central area, therefor, constructing generation investment decision model considering multiagent benefit can be close to meet the interests demands. Using game theory, the complete information game model is adopted to solve the strategies of different subjects in equilibrium state.

  18. INFLUENCE OF THE INVESTMENT DECISIONS ON THE RETURN OF THE COMPANY

    Directory of Open Access Journals (Sweden)

    Pop Mugurel Gabriel Sorin

    2012-12-01

    Full Text Available We propose in this study, to make an analysis of the influence of the investment decision on the return of the company. The goal of our research is the quantification of the influence of investment activity on profitability. Fulfilling such a goal has forced us to research the existing literature in this field, both in our country and abroad, ascertaining the existence of a unitary meaning of the criteria for investment projects’ evaluation. Of course, the realization of such research was possible only after close consideration of the opinions expressed in the relevant literature on this area. Our research aims to be a theoretical-applied one. It is based on comparisons we make between the two criteria for assessing investment projects namely: that of net present value (VAN and internal rate of return (RIR. By creating a suite of phase calculations, based on information from economic and financial documentation of corporate investments, we separated the influence of the policy investment decisions on profitability. We are convinced that the most accurate determination of the influence of policy investment decisions on profitability helps the financial management, facilitating the process of adopting the most appropriate policy decisions that ultimately leads to the objectives formulated by the financial policy. The result of our research is the quantification of the influence of investment policy decisions of the firm on profitability.

  19. Investment appraisal of technology innovations on dairy farm electricity consumption

    NARCIS (Netherlands)

    Upton, J.; Murphy, M.; Boer, de I.J.M.; Groot Koerkamp, P.W.G.; Berentsen, P.B.M.; Shalloo, L.

    2015-01-01

    The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated

  20. Exploring Best Practice Skills to Predict Uncertainties in Venture Capital Investment Decision-Making

    Science.gov (United States)

    Blum, David Arthur

    Algae biodiesel is the sole sustainable and abundant transportation fuel source that can replace petrol diesel use; however, high competition and economic uncertainties exist, influencing independent venture capital decision making. Technology, market, management, and government action uncertainties influence competition and economic uncertainties in the venture capital industry. The purpose of this qualitative case study was to identify the best practice skills at IVC firms to predict uncertainty between early and late funding stages. The basis of the study was real options theory, a framework used to evaluate and understand the economic and competition uncertainties inherent in natural resource investment and energy derived from plant-based oils. Data were collected from interviews of 24 venture capital partners based in the United States who invest in algae and other renewable energy solutions. Data were analyzed by coding and theme development interwoven with the conceptual framework. Eight themes emerged: (a) expected returns model, (b) due diligence, (c) invest in specific sectors, (d) reduced uncertainty-late stage, (e) coopetition, (f) portfolio firm relationships, (g) differentiation strategy, and (h) modeling uncertainty and best practice. The most noteworthy finding was that predicting uncertainty at the early stage was impractical; at the expansion and late funding stages, however, predicting uncertainty was possible. The implications of these findings will affect social change by providing independent venture capitalists with best practice skills to increase successful exits, lessen uncertainty, and encourage increased funding of renewable energy firms, contributing to cleaner and healthier communities throughout the United States..

  1. Does the Color of Feedback Affect Investment Decisions?

    OpenAIRE

    Tal Shavit; Mosi Rosenboim; Chen Cohen

    2013-01-01

    This paper presents a multi-period experiment that extends a classic experiment on investment allocation preferences by adding colors to the feedback returned to participants. The results show that investors allocate the same proportion of their investment to the stock and the bond funds without regard to the colors. However, red feedback activates an avoidance motivation (vs. an approach motivation), and this reduces chasing past returns. The authors also found that the color of the feedback...

  2. The energy investment decision in the nonresidential building sector: Research into the areas of influence

    Energy Technology Data Exchange (ETDEWEB)

    Harkreader, S.A.; Ivey, D.L.

    1987-04-01

    The purpose of this report is to describe and to characterize the decision process in the nonresidential building sector as well as the variables influencing energy investment decisions, both of which impact the development of R and D agendas for the Office of Building and Community Systems (BCS). The report reviews the available information on the factors that influence energy investment decisions and identifies information gaps where additional research is needed. This report focuses on variables and combinations of these variables (descriptive states) that influence the non residential energy investment decision maker. Economic and demographic descriptors, energy investment decision maker characteristics, and variables affecting energy investments are identified. This response examines the physical characteristics of buildings, characteristics of the legal environment surrounding buildings, demographic factors, economic factors, and decision processes, all of which impact the nonresidential energy investment market. The emphasis of the report is on providing possible methodologies for projecting the future of the nonresidential energy investment market, as well as, collecting the data necessary for such projections. The use of alternate scenarios is suggested as a projection tool and suggestions for collecting the appropriate data are made in the recommendations.

  3. Chemical plant innovative safety investments decision-support methodology.

    Science.gov (United States)

    Reniers, G L L; Audenaert, A

    2009-01-01

    This article examines the extent to which investing in safety during the creation of a new chemical installation proves profitable. The authors propose a management supporting cost-benefit model that identifies and evaluates investments in safety within a chemical company. This innovative model differentiates between serious accidents and less serious accidents, thus providing an authentic image of prevention-related costs and benefits. In classic cost-benefit analyses, which do not make such differentiations, only a rudimentary image of potential profitability resulting from investments in safety is obtained. The resulting management conclusions that can be drawn from such classical analyses are of a very limited nature. The proposed model, however, is applied to a real case study and the proposed investments in safety at an appointed chemical installation are weighed against the estimated hypothetical benefits resulting from the preventive measures to be installed at the installation. In the case-study carried out in question, it would appear that the proposed prevention investments are justified. Such an economic exercise may be very important to chemical corporations trying to (further) improve their safety investments.

  4. Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production

    International Nuclear Information System (INIS)

    Wickart, Marcel; Madlener, Reinhard

    2007-01-01

    In this paper we develop an economic model that explains the decision-making problem under uncertainty of an industrial firm that wants to invest in a process technology. More specifically, the decision is between making an irreversible investment in a combined heat-and-power production (cogeneration) system, or to invest in a conventional heat-only generation system (steam boiler) and to purchase all electricity from the grid. In our model we include the main economic and technical variables of the investment decision process. We also account for the risk and uncertainty inherent in volatile energy prices that can greatly affect the valuation of the investment project. The dynamic stochastic model presented allows us to simultaneously determine the optimal technology choice and investment timing. We apply the theoretical model and illustrate our main findings with a numerical example that is based on realistic cost values for industrial oil- or gas-fired cogeneration and heat-only generation in Switzerland. We also briefly discuss expected effects of a CO 2 tax on the investment decision

  5. Evaluation of Representative Smart Grid Investment Project Technologies: Demand Response

    Energy Technology Data Exchange (ETDEWEB)

    Fuller, Jason C.; Prakash Kumar, Nirupama; Bonebrake, Christopher A.

    2012-02-14

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of a limited number of demand response technologies and implementations deployed in the SGIG projects.

  6. Determinants of investment decisions in a crisis: Perspective of Croatian small firms

    Directory of Open Access Journals (Sweden)

    Jelena Đurkin

    2015-01-01

    Full Text Available The aim of the paper is to determine the investment activity of small firms in Croatia during the crisis year 2012 and further analyse the effect of selected factors on capital investment decisions. For this purpose, an on-line survey of small businesses was conducted. The research sample consisted of small firms in Primorsko-Goranska County that earned the highest revenue in 2011, because it was assumed they would have greater investment potential in 2012. Research results show that almost half of the firms invested in new fixed assets in 2012. Their investment decisions were primarily motivated by mere "survival" purpose, since the investment activities were mostly oriented toward the replacement of worn-out assets.

  7. State investments in high-technology job growth.

    Science.gov (United States)

    Leicht, Kevin T; Jenkins, J Craig

    2017-07-01

    Since the early 1970's state and local governments have launched an array of economic development programs designed to promote high-technology development. The question our analysis addresses is whether these programs promote long-term high-technology employment growth net of state location and agglomeration advantages. Proponents talk about an infrastructure strategy that promotes investment in public research and specialized infrastructure to attract and grow new high technology industries in specific locations, and a more decentralized entrepreneurial strategy that reinforces local agglomeration capacities by investing in new enterprises and products, promoting the development of local networks and partnerships. Our results support the entrepreneurial strategy, suggesting that state governments can accelerate high technology development by adopting market-supportive programs that complement private sector initiatives. In addition to positive direct benefits of technology deployment/transfer programs and SBIR programs, entrepreneurial programs affect change in high-technology employment in concert with existing locational and agglomeration advantages. Rural (i.e. low population density) states tend to benefit by technology development programs. Infrastructure strategy programs also facilitate high technology job growth in places where local advantages already exist. Our results suggest that critics of industrial policy are correct that high technology growth is organic and endogenous, yet state governments are able to "pick winners and losers" in ways that grow their local economy. Copyright © 2017 Elsevier Inc. All rights reserved.

  8. INVESTMENT DEPOSITS DECISION-MAKING IN BANK: A BEHAVIORAL FINANCE PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    Hanopia B.L.

    2018-02-01

    Full Text Available This research was conducted using behavioral finance theories. The objectives of this research was to analyze influencing factors of investment deposits decision-making for the depositor, and to analyze the most dominant factor of investment deposits decision-making in Bank NTB of Pejanggik Principle Branches. The instrument of this research was questionnaire with the total sample of 90 respondents who were the deposit customers. The research results show that deposits’ interest, gain and cost, feelings of disappointment and satisfaction, worries, reluctances, good companies, budget allocation, self-control, net interest income, belief in net interest income, overestimate and underestimate are factors influencing investment deposits decision-making in Bank NTB of Pejanggik Principle Branches. Dominant factors determining investment deposits decision-making are deposits cost, interest and feelings of satisfaction, budget allocation, overestimate and self-control. Those factors are included in the factor group of deposits cost.

  9. Innovation investment decisions: are post(transition economies different from the rest of the EU?

    Directory of Open Access Journals (Sweden)

    Ljiljana BOZIĆ

    2017-12-01

    Full Text Available The slow progress of innovation in transition economies is not related just to firms’ decision to invest in innovation activities. Rather, it is worth distinguishing between their decision to increase investment, reduce it, keep their investments at the same level or not invest in innovation activities at all. To understand these decisions we develop and estimate models for post-transition and developed European countries employing multinomial probit. The analysis relies on responses of 2580 firms from 11 post-transition countries and 4058 firms from 18 European countries collected by the Flash Eurobarometer 433 - Innobarometer 2016 survey. We have established that the firms’ decision making process in general is mostly related to previous innovation investment experience. In transition countries, the higher the percent of turnover invested in innovation, the lower the probability of an increase in the future. In the firms operating in developed economies, lower turnover from new products is related to the decision to decrease innovation investment in the future.

  10. Optimal Housing, Consumption, and Investment Decisions over the Life Cycle

    DEFF Research Database (Denmark)

    Kraft, Holger; Munk, Claus

    2011-01-01

    We derive explicit solutions to life-cycle utility maximization problems involving stock and bond investment, perishable consumption, and the rental and ownership of residential real estate. Prices of houses, stocks and bonds, and labor income are correlated. Because of a positive correlation...... between house prices and labor income, young individuals want little exposure to house price risk and tend to rent their home. Later in life the desired housing investment increases and will eventually reach and exceed the desired consumption, suggesting that the individual should buy his home—and either...... additional housing units (for renting out) or house price–linked financial assets. In the final years, preferences shift back to home rental. The derived strategies are still useful if housing positions are only reset infrequently. Our results suggest that markets for real estate investment trusts or other...

  11. Decision-making model of generation technology under uncertainty based on real option theory

    International Nuclear Information System (INIS)

    Ming, Zeng; Ping, Zhang; Shunkun, Yu; Ge, Zhang

    2016-01-01

    Highlights: • A decision-making model of generation technology investment is proposed. • The irreversible investment concept and real option theory is introduced. • Practical data was used to prove the validity of the model. • Impact of electricity and fuel price fluctuation on investment was analyzed. - Abstract: The introduction of market competition and the increased uncertainty factors makes the generators have to decide not only on whether to invest generation capacity or not but also on what kind of generation technology to choose. In this paper, a decision-making model of generation technology investment is proposed. The irreversible investment concept and real option theory is introduced as the fundamental of the model. In order to explain the decision-making process of generator’s investment, the decision-making optimization model was built considering two generation technologies, i.e., the heat-only system and the combined heat and power generation. Also, we discussed the theory deducing process, which explained how to eliminate the overrated economic potential caused by risk hazard, based on economic evaluation of both generation technologies. Finally, practical data from electricity market of Inner Mongolia was used to prove the validity of the model and the impact of uncertainties of electricity and fuel price fluctuation on investment was analyzed according to the simulated results.

  12. ACCOUNTING INFORMATION - A BASIS FOR ACHIEVING THE DECISION FOR THE REALIZATION OF PUBLIC INVESTMENT PROJECT

    OpenAIRE

    Sarac Ionut Pavel

    2012-01-01

    Accounting information plays a key role in the foundation process of public sector decisions. Financing budget deficits, treasury risk identification (availability risk), formation of tax claims, foundation of financial sustainability for public investment projects are just some examples of using accounting information in decision-making process of credit accountant. How can we use and process accounting information in the foundation of public investment projects? We will try to answer this q...

  13. INVESTMENT DEPOSITS DECISION-MAKING IN BANK: A BEHAVIORAL FINANCE PERSPECTIVE

    OpenAIRE

    Hanopia B.L.; Surasni N.K.; Hidayati S.A.

    2018-01-01

    This research was conducted using behavioral finance theories. The objectives of this research was to analyze influencing factors of investment deposits decision-making for the depositor, and to analyze the most dominant factor of investment deposits decision-making in Bank NTB of Pejanggik Principle Branches. The instrument of this research was questionnaire with the total sample of 90 respondents who were the deposit customers. The research results show that deposits’ interest, gain and cos...

  14. Decision-making for new technology: A multi-actor, multi-objective method

    OpenAIRE

    Cunningham, S.W.; van der Lei, T.E.

    2007-01-01

    Technology managers increasingly face problems of group decision. The scale and complexity of research, development and alliance efforts in emerging fields of technology mandate a correspondingly sophisticated form of group coordination. Information technology, biotechnology and nanotechnology are good examples of sectors with complex coordination problems. Choices made include the selection of projects, the choice of investment alternatives, and the formation of technology licensing agreemen...

  15. A Duopoly Manufacturers’ Game Model Considering Green Technology Investment under a Cap-and-Trade System

    Directory of Open Access Journals (Sweden)

    Yi Zheng

    2018-03-01

    Full Text Available This research studied the duopoly manufacturers’ decision-making considering green technology investment and under a cap-and-trade system. It was assumed there were two manufacturers producing products which were substitutable for one another. On the basis of this assumption, the optimal production capacity, price, and green technology investment of the duopoly manufacturers under a cap-and-trade system were obtained. The increase or decrease of the optimal production quantity of the duopoly manufacturers under a cap-and-trade system was decided by their green technology level. The increase of the optimal price as well as the increase or decrease of the maximum expected profits were decided by the initial carbon emission quota granted by the government. Our research indicates that the carbon emission of unit product is inversely proportional to the market share of an enterprise and becomes an important index to measure the core competitiveness of an enterprise.

  16. Medical implants by using RP and investment casting technologies

    Directory of Open Access Journals (Sweden)

    Milan Horacek

    2011-02-01

    Full Text Available The paper deals with the production technology of knee joint replacement by using rapid prototyping technology. The aim of the work is to outline the manufacturing technology intended for prototype production with the use of rapid prototyping and investment casting technology for use in orthopaedics and the surgery of knee joint replacement. The research results should make an effective contribution in the attempts to minimize the invasive surgical procedure, shorten the production of knee joint replacement as well as reduce the cost. At present, the research is focused on the preparation of STL data from CT (Computed Tomography and verification of the production technology of prototypes made using available RP technology and its evaluation.

  17. Power plants investment decision-making in consideration of investment risk

    International Nuclear Information System (INIS)

    Oda, Junichiro; Matsuhashi, Ryuji; Yoshida, Yoshikuni; Takashima, Ryuta

    2005-01-01

    In this paper, we consider the investment risk of nuclear power plants using the real options approach. It is essential that the Japanese society evaluate the investment risk, because nuclear power plants are facing definite uncertainty and Japanese governments intend to promote and assist nuclear power plants through subsidies and policy actions. We assumed that the wholesale market prices of electricity constitute the definite uncertainty and that the wholesale market prices follow the geometric Brownian motion with drift. Using the Bellman equation and a lattice framework, we evaluated the value of investment opportunity, the value of equipment, and the critical prices that are optimal prices to invest in a nuclear power plant in the finite time horizon. This analysis shows that higher volatility of the wholesale market prices would give power companies lower incentive to construct electric power plants, particularly capital-intensive power plants. In order to deliberate and hold the Japanese governments accountable for the economics of nuclear power plants, multifaceted evaluation is needed. (author)

  18. Role of carbon price signal on the investment decisions of companies

    International Nuclear Information System (INIS)

    Herve, Morgan

    2011-01-01

    This PhD thesis focuses on the impact of the European Union Emissions Trading Scheme (EU ETS) on investment decisions in the European power sector. We provide the policy background on the EU ETS and contemporary policy and economic developments. We discuss the main types of compliance buyers' responses to the EU ETS constraint: emissions reductions, acquisitions of additional compliance assets, and other responses. We present the results of an empirical survey of the most carbon constrained European utilities. We show that strategic and economic considerations prevailed over the introduction of the carbon price. We discuss the impact of those investments on European utilities' EU ETS profile by looking at the potentially locked-in emissions, changes in the compliance perimeter and some specific developments relative to carbon leakage and Kyoto offsets. We offer a review of the investment decision-making approaches. Exploring the impact of carbon price scenarios on generation investment portfolios, we are able to identify that: the EU ETS has a moderate but central reallocation role in power generation investment portfolios; insights into the long-term carbon price trend are particularly helpful to unlock investment; some much discussed policy provisions only have a relatively small impact on investment portfolios; carbon price expectations impact decisions relative to power generation investment portfolios; while the EU ETS has a central role, the climate and non-climate policy mix matters most. (author)

  19. Integrating energy and environmental goals. Investment needs and technology options

    International Nuclear Information System (INIS)

    2004-04-01

    Economic and population growth will continue to drive an expansion of the global energy market. The Earth's energy resources are undoubtedly adequate to meet rising demand for at least the next three decades. But the projected increases in energy consumption and market developments raise serious concerns about the security of energy supplies, investment in energy infrastructure, the threat of environmental damage caused by energy use and the uneven access of the world's population to modern energy. The first two sections of this background paper provide an outlook for energy demand and emissions over the next thirty years, based on findings in the IEA's World Energy Outlook 2002. Section four presents projections for global investment needs from the latest WEO publication, the World Energy Investment Outlook 2003. For both the energy and investment outlooks, an alternative scenario for OECD countries is examined. The scenarios describe a world in which environmental and energy supply security concerns will continue to plague policy makers. Clearly, changes in power generation, automotive engines and fuel technologies will be required to change trends in energy demand and emissions over the next thirty years and beyond. Improvements in energy efficiency will also play a fundamental role. A number of technologies offer the long term potential to diversify the energy sector away from its present heavy reliance on fossil fuels. Based on various IEA studies, section five evaluates those technologies that offer the potential to reduce emissions, including renewable energy, fossil-fuel use with CO2 capture and storage, nuclear, hydrogen, biofuels and efficient energy end use. No single technology can meet the challenge by itself. Different regions and countries will require different combinations of technologies to best serve their needs and best exploit their indigenous resources. Developing countries, in particular, will face far greater challenges in the years ahead

  20. Recent Investments by NASA's National Force Measurement Technology Capability

    Science.gov (United States)

    Commo, Sean A.; Ponder, Jonathan D.

    2016-01-01

    The National Force Measurement Technology Capability (NFMTC) is a nationwide partnership established in 2008 and sponsored by NASA's Aeronautics Evaluation and Test Capabilities (AETC) project to maintain and further develop force measurement capabilities. The NFMTC focuses on force measurement in wind tunnels and provides operational support in addition to conducting balance research. Based on force measurement capability challenges, strategic investments into research tasks are designed to meet the experimental requirements of current and future aerospace research programs and projects. This paper highlights recent and force measurement investments into several areas including recapitalizing the strain-gage balance inventory, developing balance best practices, improving calibration and facility capabilities, and researching potential technologies to advance balance capabilities.

  1. Project valuation and investment decisions: CAPM versus arbitrage

    OpenAIRE

    Magni, Carlo Alberto

    2007-01-01

    This paper shows that (i) project valuation via disequilibrium NPV+CAPM contradicts valuation via arbitrage pricing, (ii) standard CAPM-minded decision makers may fail to profit from arbitrage opportunities, (iii) standard CAPM-based valuation violates value additivity. As a consequence, the standard use of CAPM for project valuation and decision making should be reconsidered.

  2. THE PROFITABILITY – AN ATTRIBUTE OF FINANCIAL AND ACCOUNTING NATURE IN THE DECISION TO INVEST

    Directory of Open Access Journals (Sweden)

    Mihaela TULVINSCHI

    2014-06-01

    Full Text Available The investments represent the primary factor in the development strategy of an economic entity. The role of the investments begins with their purpose, meaning that the investments involve the increasing of a stock portfolio. The research methodology that is approached in this article is based on the analysis of two factors: net present value and internal rate of profitability. Capital budgeting in an investment project that, without a prior analysis of the efficiency of such a decision, can lead to the total or partial loss of the invested capital. An investment project is efficient if the net present value is positive and has a larger value. An investment project becomes more profitable as the value of the internal rate of profitability gets higher. If the two factors are correctly interpreted they lead to exactly the same conclusions regarding the determination of an investment profitability. We can conclude that the two efficiency factors are complementary, their simultaneous use leading to a better grounding of the investment decision than their separate use.

  3. Do Financial Constraints Moderate the Impact of Financing Decisions From Internal-financing Sources on Investment?

    Directory of Open Access Journals (Sweden)

    Andewi Rokhmawati

    2017-07-01

    Full Text Available To prevent investment growth in 2013 to 2015 from decreasing, the Industrial Ministry provided fiscal incentives to stimulate investment-growth. Nevertheless, the investment growth of manufacturing firms still declined. This condition indicated that fiscal stimulus might be ineffective to prevent investment-growth from declining. The decline of investment might be influenced by the increase of firm financial constraints to access a source of long term debts. This study aimed to examine the influence of financial constraints in moderating the effect of financing decisions from internal financing sources on investment. The population of the study was all listed-manufacturing firms in Indonesia from 2013 to 2015. Samples were chosen based on the availability of firms’ financial report covering the period of the study. The study concluded that financial constraints significantly weaken the effect of internal funding decision on investment. Unconstrained firms had a higher beta than constrained firms. Although unconstrained firms had an opportunity to choose their source of funding, they preferred to finance their investment from cash flows because the cost of debts might be much higher than the cost of equity.Hence, to help firms to finance their feasible investment opportunity, the government should not only provide tax incentives but also provide a low-interest loan.

  4. Does Foreign Direct Investment Transfer Technology Across Borders? A Reexamination

    OpenAIRE

    Jürgen Bitzer; Monika Kerekes

    2005-01-01

    Reexamining foreign direct investment (FDI) as a potential channel for knowledge diffusion -- based on industry data from seventeen OECD countries during the period 1973-2000 -- we find that FDI-receiving countries benefit strongly from FDI-related knowledge spillovers. We do not find evidence for positive FDI-related technology sourcing effects. Instead, our results suggest that outward FDI might have negative effects on the output of the FDI-sending country.

  5. Information Technology Portfolio Management and the Real Options Method (ROM): Managing the Risks of IT Investments in the Department of the Navy (DON)

    National Research Council Canada - National Science Library

    Davis, Jeffery

    2003-01-01

    .... The Navy portion of those funds is over 55 billion. Rapid change and increasing uncertainty in the technology field has resulted in a high degree of financial risk associated with IT capital investment decisions...

  6. Using Real Option Thinking to Improve Decision Making in Security Investment

    NARCIS (Netherlands)

    Nunes Leal Franqueira, V.; Houmb, S.H.; Daneva, Maia

    2010-01-01

    Making well-founded security investment decisions is hard: several alternatives may need to be considered, the alternatives' space is often diffuse, and many decision parameters that are traded-off are uncertain or incomplete. We cope with these challenges by proposing a method that supports

  7. Technology Investments in the NASA Entry Systems Modeling Project

    Science.gov (United States)

    Barnhardt, Michael; Wright, Michael; Hughes, Monica

    2017-01-01

    The Entry Systems Modeling (ESM) technology development project, initiated in 2012 under NASAs Game Changing Development (GCD) Program, is engaged in maturation of fundamental research developing aerosciences, materials, and integrated systems products for entry, descent, and landing(EDL)technologies [1]. To date, the ESM project has published over 200 papers in these areas, comprising the bulk of NASAs research program for EDL modeling. This presentation will provide an overview of the projects successes and challenges, and an assessment of future investments in EDL modeling and simulation relevant to NASAs mission

  8. Investment in energy: a decision with manifold objectives

    International Nuclear Information System (INIS)

    Wilkinson, E.

    1978-04-01

    Assuming that the level of welfare of the economy is influenced by divergencies observed in the amplitude of certain regional elements, it is admitted that such information must be added to the one conventionally included in the decision's criteria. Specifically: if distributive data are added to the efficiency data already existing, the former ones must be explicitly stated in decision's criteria. Discussions are based on microeconomic analysis welfare economics and correlation aspects [pt

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

    Directory of Open Access Journals (Sweden)

    Brukhovetskaya Natalia E.

    2014-01-01

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

  10. The investment location decisions in the steel industry

    Directory of Open Access Journals (Sweden)

    M. M. Abrudan

    2016-04-01

    Full Text Available The global dimension of the economy in general and of the steel industry in particular makes the decision regarding the location of new production facilities a challenge for managers. This paper tries to provide tools that make the decision taking process easier. Is assumed that certain tax levy rates are important to this process and they are compared and analyzed. Finally, based on this analysis this paper tries to prioritize some countries in terms of their economic attractiveness in order to identify the most suitable country for placing a steel factory.

  11. Investor’s Commitment Bias and Escalation of Firm’s Investment Decision

    Directory of Open Access Journals (Sweden)

    Anis JARBOUI

    2012-12-01

    Full Text Available This study examines the reasons of perseverance in firm’s investment decision. It shows the possible influence of three closely related features which are: firm’s financial indicators, investor’s risk profile, and investor’s commitment bias, on a firm’s investment decisions escalation. This study aims to provide evidence as to whether investor considers the financial and risk’s perception features (financial strength and risk profile to persevere his initial investment decision while he notes a high level of commitment bias. The proposed model of this paper uses GLM univariate data analyses to examine this relationship. Investor’s risk profile and his commitment bias have been measured by means of a questionnaire comprising several items. As for the selected sample, it has been composed of some 360 Tunisian individual investors. Our results have revealed that investors pay more attention to keep their psychology comfort than their financial comfort. It exposed the importance of the investor’s commitment bias and its risk perception in explaining investment decision escalation. Moreover results shows that there is strong and significant empirical relationship linking the escalatory behavior in investment decision and the interaction effects between the three independent variables. This means that, in practice, investors consider the three factors simultaneously.

  12. Influence Diagram Use With Respect to Technology Planning and Investment

    Science.gov (United States)

    Levack, Daniel J. H.; DeHoff, Bryan; Rhodes, Russel E.

    2009-01-01

    Influence diagrams are relatively simple, but powerful, tools for assessing the impact of choices or resource allocations on goals or requirements. They are very general and can be used on a wide range of problems. They can be used for any problem that has defined goals, a set of factors that influence the goals or the other factors, and a set of inputs. Influence diagrams show the relationship among a set of results and the attributes that influence them and the inputs that influence the attributes. If the results are goals or requirements of a program, then the influence diagram can be used to examine how the requirements are affected by changes to technology investment. This paper uses an example to show how to construct and interpret influence diagrams, how to assign weights to the inputs and attributes, how to assign weights to the transfer functions (influences), and how to calculate the resulting influences of the inputs on the results. A study is also presented as an example of how using influence diagrams can help in technology planning and investment. The Space Propulsion Synergy Team (SPST) used this technique to examine the impact of R&D spending on the Life Cycle Cost (LCC) of a space transportation system. The question addressed was the effect on the recurring and the non-recurring portions of LCC of the proportion of R&D resources spent to impact technology objectives versus the proportion spent to impact operational dependability objectives. The goals, attributes, and the inputs were established. All of the linkages (influences) were determined. The weighting of each of the attributes and each of the linkages was determined. Finally the inputs were varied and the impacts on the LCC determined and are presented. The paper discusses how each of these was accomplished both for credibility and as an example for future studies using influence diagrams for technology planning and investment planning.

  13. Stock Market Liquidity and Investment Decisions of Non-Financial Quoted Companies in Nigeria

    Directory of Open Access Journals (Sweden)

    Rafiu Oyesola Salawu

    2016-01-01

    Full Text Available The study examined the impact of market liquidity on investment decision of 50 non-financial quoted companies in Nigeria between 2006 and 2012. The study employed secondary source of data collection. Data collected were analyzed using descriptive statistics and inferential statistics such as pool OLS and fixed effect model. The results showed that Size of the Firm (FS and Firms’ Age (FAGE were the only significant determinants of Return on Investment (ROI. The turnover ratio (TOR which is a proxy for market liquidity had positive but insignificant effect on ROI. Based on the above findings, the study concluded that for most of the companies operating in the non-financial sector of the Nigerian economy, the influence of market liquidity on investment decision is positive, but not significant. The study recommended that management should place more emphasis on the firm age and in particular firm size as they can be employed to predict the return on investment.

  14. Ambiguity and Investment Decisions: An Empirical Analysis on Mutual Fund Investor Behaviour

    Directory of Open Access Journals (Sweden)

    Chao Tang

    2017-09-01

    Full Text Available The paper empirically studies the relationship between ambiguity and mutual fund investor behaviour. Theoretical models for investment decisions incorporating ambiguity motivate our analyses. While the models indicate that investors would less likely to invest in financial markets when ambiguity increases, there is rare empirical evidence in natural occurring financial data to examine this hypothesis. In this paper, we test the hypothesis with equity fund flow data as for investment decisions and ambiguity with the degree of disagreement in equity analysts’ prediction about asset returns. Our results support the hypothesis that increases in ambiguity could lead to less fund flows and this result remains consistently when adding various control variables affecting fund flows. Besides, we find that heterogeneous impacts of ambiguity: equity funds with high yield targets and active management style are affected more than funds investing in stable stocks; funds with larger proportion of institutional investors are more sensitive and affected by the ambiguity.

  15. Evaluating the investment decision-making process for business expansion into Africa: A case study

    Directory of Open Access Journals (Sweden)

    Jason Kasozi

    2012-12-01

    Full Text Available Africa is a potential domain for international business. However, numerous uncertainties characterize this environment and the challenge for multinationals remains the ability to assess the true value of an Africa-bound investment project. A telecommunications’ survey was conducted on Siemens Southern Africa (Siemens and Mobile Telecommunications’ Network (MTN and the following observations were made: (1 Approaches used by the businesses to value Africa-bound investments were not comprehensive and inclusive. (2 Neutrality existed to the suggestion that Africa is unique and that investment decisions should be customized to suit it. (3 Certain approaches used by the businesses were modified to suit pertaining investment circumstances thereby differing from literature, and (4, participants desired to learn new ways of improving this process suggesting dissatisfaction with the current norm. This paper presents the conflicting ideologies about the decision-making process for business expansion into Africa and suggests ways of improving the process

  16. Are all investment decisions to subscribe to new stocks mindless?

    Directory of Open Access Journals (Sweden)

    Zhe Li

    2016-12-01

    Full Text Available The IPO process is a way for companies to improve their corporate governance and for investors to assess company quality. This paper posits that investor choices vary with differences in investment ability and experience. Three groups of investors with large holdings, namely individual investors, blue-chip institutional investors and underperforming institutional investors, are compared by their use of three types of corporate governance information: board characteristics, equity structure and affiliated relationships. Overall, institutional investors make greater use of corporate governance information than individual investors, with blue-chip institutional investors making the greatest use. Further, bull-bear markets exert a significant influence on the behavior of both individual and underperforming institutional investors. These results enrich the IPO literature and contribute to optimal social fund allocation in the stock market.

  17. Influences of context and culture on singaporean strategic investment decision making practises

    OpenAIRE

    Soh, Li Khee Christine

    2014-01-01

    This thesis investigates the interplay of context with culture on strategic investment decision (SID) making practises in strategic management accounting, strategic management, cross cultural management and global strategic management research in Singapore using three research questions. These research questions commence from an inter-country perspective on SID making and narrow down to the theme of foreign versus domestic investments. The three research questions are: Re...

  18. FINANCING DECISION – THE DETERMINANT ROLE OF MANAGEMENT IN INVESTMENTS OF TOURIST ENTITIES

    Directory of Open Access Journals (Sweden)

    Luminita PAIUSAN

    2018-05-01

    Full Text Available Knowledge of investment costs is a basic tool at the hands of managers and is used to increase the efficiency of economic activity. The investment cost study aims to obtain profits under various aspects, both at microeconomic and macroeconomic level. The short-term financing decision refers to the financing of the operating cycle, which gives the purpose of circulating capital management. Tourism investments are materialized through: accommodation units, equipment, and infrastructure works that ensure the operation of the investments. Given that investors want profit in a quicker and shorter timeframe, in this paper we have conducted a case study on an entity's investment, its cost, recovery time and profitability on basis of the estimated profit. Appropriate financing of the tourism industry would, in the medium term, provide an incentive for the national economy.

  19. User Driven Data Mining, Visualization and Decision Making for NOAA Observing System and Data Investments

    Science.gov (United States)

    Austin, M.

    2016-12-01

    The National Oceanic and Atmospheric Administration (NOAA) observing system enterprise represents a $2.4B annual investment. Earth observations from these systems are foundational to NOAA's mission to describe, understand, and predict the Earth's environment. NOAA's decision makers are charged with managing this complex portfolio of observing systems to serve the national interest effectively and efficiently. The Technology Planning & Integration for Observation (TPIO) Office currently maintains an observing system portfolio for NOAA's validated user observation requirements, observing capabilities, and resulting data products and services. TPIO performs data analytics to provide NOAA leadership business case recommendations for making sound budgetary decisions. Over the last year, TPIO has moved from massive spreadsheets to intuitive dashboards that enable Federal agencies as well as the general public the ability to explore user observation requirements and environmental observing systems that monitor and predict changes in the environment. This change has led to an organizational data management shift to analytics and visualizations by allowing analysts more time to focus on understanding the data, discovering insights, and effectively communicating the information to decision makers. Moving forward, the next step is to facilitate a cultural change toward self-serve data sharing across NOAA, other Federal agencies, and the public using intuitive data visualizations that answer relevant business questions for users of NOAA's Observing System Enterprise. Users and producers of environmental data will become aware of the need for enhancing communication to simplify information exchange to achieve multipurpose goals across a variety of disciplines. NOAA cannot achieve its goal of producing environmental intelligence without data that can be shared by multiple user communities. This presentation will describe where we are on this journey and will provide examples of

  20. The investment decision and its financing in a changing institutional environment: the case of an electronuclear facility

    International Nuclear Information System (INIS)

    Guillerminet, M.L.

    2002-09-01

    This document analyzes the consequences of the questioning of the hypothesis of independence between the investment and financing decisions, on the investment choice of a nuclear power company in a European market progressively opening to competition. This company, which can get into debts on the financial market, is taxable and can go bankrupt. It is shown that its investment opportunity, totally irreversible in self-financing, can become partially reversible for inter-dependent investment and financing decisions. (J.S.)

  1. Investments

    CERN Document Server

    Bodie, Zvi; Marcus, Alan J.

    2017-01-01

    The integrated solutions for Bodie, Kane, and Marcus' Investments set the standard for graduate/MBA investments textbooks. The unifying theme is that security markets are nearly efficient, meaning that most securities are priced appropriately given their risk and return attributes. The content places greater emphasis on asset allocation and offers a much broader and deeper treatment of futures, options, and other derivative security markets than most investment texts. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

  2. Investment Decision Support for Engineering Projects Based on Risk Correlation Analysis

    Directory of Open Access Journals (Sweden)

    Yan Liu

    2012-01-01

    Full Text Available Investment decisions are usually made on the basis of the subjective judgments of experts subjected to the information gap during the preliminary stages of a project. As a consequence, a series of errors in risk prediction and/or decision-making will be generated leading to out of control investment and project failure. In this paper, the variable fuzzy set theory and intelligent algorithms integrated with case-based reasoning are presented. The proposed algorithm manages the numerous fuzzy concepts and variable factors of a project and also sets up the decision-making process in accordance with past cases and experiences. Furthermore, it decreases the calculation difficulty and reduces the decision-making reaction time. Three types of risk correlations combined with different characteristics of engineering projects are summarized, and each of these correlations is expounded at the project investment decision-making stage. Quantitative and qualitative change theories of variable fuzzy sets are also addressed for investment risk warning. The approach presented in this paper enables the risk analysis in a simple and intuitive manner and realizes the integration of objective and subjective risk assessments within the decision-makers' risk expectation.

  3. Reform of investment policy in the function of sustainable development with special emphasis on investment in information technologies

    Directory of Open Access Journals (Sweden)

    Dragičević-Radičević Tatjana

    2017-01-01

    Full Text Available Global economy still records a decline in FDI. The main causes are increased economic instability and geopolitical risks. Given the continued negative trend, it is clear that it is necessary to reform the investment policies at the national, regional, bilateral, multilateral and international level, to ensure sustainable economic development. Key elements of the reforms are: to provide instruments to reduce risks, create mechanisms of responsible investment, improve the structural coherence and promote regional investments. Refer to the current dates of the sectors investments (according to the report of UNCTAD from 2015th shows that the services sector recorded double growth compared to the investment in the manufacturing sector in 2012. Also, if we take into consideration the fact that investment in IT sector investment involves three aspects: transactional (minimizing costs, strategic (innovation technologies, achieving competitiveness and information (improving access to information and communications, it may be assumed that the reforms in the investment policies should be directly correlated with investments in information technology.

  4. Emissions trading and investment decisions in the power sector-a case study in Finland

    International Nuclear Information System (INIS)

    Laurikka, Harri; Koljonen, Tiina

    2006-01-01

    Organizations, which consider investment in or divestment of power production licences/capacity within the European Community, are exposed to the impacts of the European Union Emission allowance Trading Scheme (EU ETS). In this paper, the consequences of the EU ETS on investment decisions are explored in a country-specific setting in Finland. First, we review the general mechanisms through which the EU ETS influences size, timing and cashflows of an investment. Next, we discuss the projected changes in Finnish power producers' investment environment and examine the financial impacts due to the EU ETS on a case investment decision, a hypothetical condensing power plant (250 MW e ). The standard discounted cash flow (DCF) analysis is extended to take into account the value of two real options: the option to wait and the option to alter operating scale. In a quantitative investment appraisal, the impact of emissions trading not only depends on the expected level of allowance prices, but also on their volatility and correlation with electricity and fuel prices. The case study shows that the uncertainty regarding the allocation of emission allowances is critical in a quantitative investment appraisal of fossil fuel-fired power plants

  5. Investments

    CERN Document Server

    Bodie, Zvi

    2013-01-01

    The integrated solutions for Bodie, Kane, and Marcus' Investments set the standard for graduate/MBA investments textbooks. The unifying theme is that security markets are nearly efficient, meaning that most securities are priced appropriately given their risk and return attributes. The content places greater emphasis on asset allocation and offers a much broader and deeper treatment of futures, options, and other derivative security markets than most investment texts. McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. Bodie Investments' blend of practical and theoretical coverage combines with a complete digital solution to help your students achieve higher outcomes in the course

  6. Network models for solving the problem of multicriterial adaptive optimization of investment projects control with several acceptable technologies

    Science.gov (United States)

    Shorikov, A. F.; Butsenko, E. V.

    2017-10-01

    This paper discusses the problem of multicriterial adaptive optimization the control of investment projects in the presence of several technologies. On the basis of network modeling proposed a new economic and mathematical model and a method for solving the problem of multicriterial adaptive optimization the control of investment projects in the presence of several technologies. Network economic and mathematical modeling allows you to determine the optimal time and calendar schedule for the implementation of the investment project and serves as an instrument to increase the economic potential and competitiveness of the enterprise. On a meaningful practical example, the processes of forming network models are shown, including the definition of the sequence of actions of a particular investment projecting process, the network-based work schedules are constructed. The calculation of the parameters of network models is carried out. Optimal (critical) paths have been formed and the optimal time for implementing the chosen technologies of the investment project has been calculated. It also shows the selection of the optimal technology from a set of possible technologies for project implementation, taking into account the time and cost of the work. The proposed model and method for solving the problem of managing investment projects can serve as a basis for the development, creation and application of appropriate computer information systems to support the adoption of managerial decisions by business people.

  7. INDIVIDUAL INVESTMENT DECISION MAKING PROCESS. BIASES AND REMEDIES

    Directory of Open Access Journals (Sweden)

    ADRIAN MITROI

    2014-02-01

    Full Text Available ary In the pursuit of understanding the behavior of the market player, the basic argument relays on the supposition that the risk appetite increases exactly at the worst moment - when the capacity to assume additional risk decreases significantly. People view a sample randomly drawn from a population as highly representative and cvasi similar to the population in all its essential characteristics. They expect any two samples drawn from a particular population to be more similar to one another and to the population than is statistically justifiable. This behavior is different from the tenets of classic finance theory. The article reviews some psychological concepts relevant and used in the study, in an interdisciplinary effort of understanding the correlation or causality between psychology and finance. The statistical interrogation describes the sampling methodology, the frequency of data and the empirical methodology that lead to analysis of the results and concluding remarks. The study provides details on raw statistical test scores, regression results and analysis. In this study, I evaluate the association between investors’ behavior and her portfolio results. The paper aims at demonstrating whether investor psychological biases lead to investment performance to tilt to the mean in the long run.

  8. Advanced Information Technology Investments at the NASA Earth Science Technology Office

    Science.gov (United States)

    Clune, T.; Seablom, M. S.; Moe, K.

    2012-12-01

    The NASA Earth Science Technology Office (ESTO) regularly makes investments for nurturing advanced concepts in information technology to enable rapid, low-cost acquisition, processing and visualization of Earth science data in support of future NASA missions and climate change research. In 2012, the National Research Council published a mid-term assessment of the 2007 decadal survey for future spacemissions supporting Earth science and applications [1]. The report stated, "Earth sciences have advanced significantly because of existing observational capabilities and the fruit of past investments, along with advances in data and information systems, computer science, and enabling technologies." The report found that NASA had responded favorably and aggressively to the decadal survey and noted the role of the recent ESTO solicitation for information systems technologies that partnered with the NASA Applied Sciences Program to support the transition into operations. NASA's future missions are key stakeholders for the ESTO technology investments. Also driving these investments is the need for the Agency to properly address questions regarding the prediction, adaptation, and eventual mitigation of climate change. The Earth Science Division has championed interdisciplinary research, recognizing that the Earth must be studied as a complete system in order toaddress key science questions [2]. Information technology investments in the low-mid technology readiness level (TRL) range play a key role in meeting these challenges. ESTO's Advanced Information Systems Technology (AIST) program invests in higher risk / higher reward technologies that solve the most challenging problems of the information processing chain. This includes the space segment, where the information pipeline begins, to the end user, where knowledge is ultimatelyadvanced. The objectives of the program are to reduce the risk, cost, size, and development time of Earth Science space-based and ground

  9. Calculation of Investments for the Distribution of GPON Technology in the village of Bishtazhin through database

    Directory of Open Access Journals (Sweden)

    MSc. Jusuf Qarkaxhija

    2013-12-01

    Full Text Available According to daily reports, the income from internet services is getting lower each year. Landline phone services are running at a loss,  whereas mobile phone services are getting too mainstream and the only bright spot holding together cable operators (ISP  in positive balance is the income from broadband services (Fast internet, IPTV. Broadband technology is a term that defines multiple methods of information distribution through internet at great speed. Some of the broadband technologies are: optic fiber, coaxial cable, DSL, Wireless, mobile broadband, and satellite connection.  The ultimate goal of any broadband service provider is being able to provide voice, data and the video through a single network, called triple play service. The Internet distribution remains an important issue in Kosovo and particularly in rural zones. Considering the immense development of the technologies and different alternatives that we can face, the goal of this paper is to emphasize the necessity of a forecasting of such investment and to give an experience in this aspect. Because of the fact that in this investment are involved many factors related to population, geographical factors, several technologies and the fact that these factors are in continuously change, the best way is, to store all the data in a database and to use this database for different results. This database helps us to substitute the previous manual calculations with an automatic procedure of calculations. This way of work will improve the work style, having now all the tools to take the right decision about an Internet investment considering all the aspects of this investment.

  10. Liquidity, Technological Opportunities, and the Stage Distribution of Venture Capital Investments.

    Science.gov (United States)

    Lahr, Henry; Mina, Andrea

    2014-06-01

    This paper explores the determinants of the stage distribution of European venture capital investments from 1990 to 2011. Consistent with liquidity risk theory, we find that the likelihood of investing in earlier stages increases relative to all private equity investments during liquidity crisis years. While liquidity is the main driver of acquisition investments and, to some extent, of expansion financings, technological opportunities are overall the main driver of early and late stage venture capital investments. In contrast to the dotcom crash, the recent financial crisis negatively affected the relative likelihood of expansion investments, but not of early and late stage investments.

  11. Liquidity, Technological Opportunities, and the Stage Distribution of Venture Capital Investments

    Science.gov (United States)

    Lahr, Henry; Mina, Andrea

    2014-01-01

    This paper explores the determinants of the stage distribution of European venture capital investments from 1990 to 2011. Consistent with liquidity risk theory, we find that the likelihood of investing in earlier stages increases relative to all private equity investments during liquidity crisis years. While liquidity is the main driver of acquisition investments and, to some extent, of expansion financings, technological opportunities are overall the main driver of early and late stage venture capital investments. In contrast to the dotcom crash, the recent financial crisis negatively affected the relative likelihood of expansion investments, but not of early and late stage investments. PMID:26166906

  12. Sequential Foreign Investments, Regional Technology Platforms and the Evolution of Japanese Multinationals in East Asia

    OpenAIRE

    Song, Jaeyong

    2001-01-01

    IVABSTRACTIn this paper, we investigate the firm-level mechanisms that underlie the sequential foreign direct investment (FDI) decisions of multinational corporations (MNCs). To understand inter-firm heterogeneity in the sequential FDI behaviors of MNCs, we develop a firm capability-based model of sequential FDI decisions. In the setting of Japanese electronics MNCs in East Asia, we empirically examine how prior investments in firm capabilities affect sequential investments into existingprodu...

  13. Development of an investment decision tool for aged nuclear power plants under uncertainty

    International Nuclear Information System (INIS)

    Takashima, Ryuta; Nagano, Koji

    2010-01-01

    The nuclear power generating stock in Japan, which provides 30% or more of the nationwide electricity supply in recent years, is heading into the era of plant aging as those units over 40 years of operation emerge in 2010 and onward. Under accumulating uncertainties surrounding investment decisions, one of the key questions is how best to manage the existing capacity by choosing a wisest option among dismantling, refurbishment, and replacement. This report attempts to develop a methodology to analyze investment decision on aged nuclear units based on real-option analysis, and then presents illustrative simulation runs to demonstrate functions of the numerical models. Major findings are summarized as follows: a) When compared with the conventional net present value (NPV) method, the proposed model is capable to deal with uncertainty explicitly by taking volatility in the formula. Also, for the replacement option, one can choose optimal timings of the dismantling the new plant independently. b) As the profitability increases, the model suggests different investment option as optimal, starting from dismantling to replacement, further to refurbishment, and again to replacement as the most basic pattern. Additionally, where two of the strategies have similar values, postponement of both decisions can be optimal. Through these exercises, the proposed methodology proved itself capable for raising valuable implications to investment decisions in managing the production fleet. (author)

  14. Impact of Sustainability Balanced Scorecard Types on Environmental Investment Decision-Making

    Directory of Open Access Journals (Sweden)

    Suaad Jassem

    2018-02-01

    Full Text Available Investment decision-making based on aspects of sustainability is gaining importance among organizations around the globe. In this context, there is a need for quality investment decisions, which require sufficient knowledge among organizational managers about managing sustainability information to achieve environmental objectives that meet stakeholder expectations. This has led to the emergence of organizational performance measuring tools such as the Sustainability Balanced Scorecard, which integrates the environmental perspective into the traditional Balanced Scorecard. Using experimental research method, the objective of this study is to investigate the indirect effect of Eco-efficiency knowledge and Sustainability Balanced Scorecard knowledge as mediators influencing the relationship between Sustainability Balanced Scorecard types and their impact on environmental investment decision-making. Findings of the current research are based on 60 respondents who were randomly assigned to one of the following two types of Sustainability Balanced Scorecard architecture: (1 environmental data embedded within the traditional Balanced Scorecard perspectives; and (2 standalone environmental data as an additional fifth perspective along with the traditional Balanced Scorecard architecture. The traditional Balanced Scorecard without any information on environmental perspective is included in the experiment as the control condition. The findings indicate that the combined effect of eco-efficiency knowledge and Sustainability Balanced Scorecard knowledge has a significant positive influence on the relationship between the Balanced Scorecard type versus Sustainability Balanced Scorecard type and environmental investment decision-making.

  15. The capacity investment decision for make-to-order production systems with demand rate control

    NARCIS (Netherlands)

    Bertrand, J.W.M.; Ooijen, van H.P.G.

    2012-01-01

    In this paper we study the capacity investment decision for make-to-order manufacturing firms that utilize a fixed capacity, operate in a stochastic, stationary market, and can influence their demand rate by increasing or decreasing their sales effort. We consider manufacturing situations that

  16. Econometric Analysis of Bulk Shipping: implications for investment strategies and financial decision-making

    NARCIS (Netherlands)

    S. Tsolakis

    2005-01-01

    textabstractThis thesis provides an econometric analysis of the bulk shipping markets and the implications for shipping investment and financial decision making. Chapter 1 sets the scene by providing a historic analysis of bulk shipping markets over the last 55 years. From this analysis, four

  17. Framing effects in group investment decision making: role of group polarization.

    Science.gov (United States)

    Cheng, Pi-Yueh; Chiou, Wen-Bin

    2008-02-01

    Prospect theory proposes that framing effects result in a preference for risk-averse choices in gain situations and risk-seeking choices in loss situations. However, in group polarization situations, groups show a pronounced tendency to shift toward more extreme positions than those they initially held. Whether framing effects in group decision making are more prominent as a result of the group-polarization effect was examined. Purposive sampling of 120 college students (57 men, 63 women; M age = 20.1 yr., SD = 0.9) allowed assessment of relative preference between cautious and risky choices in individual and group decisions. Findings indicated that both group polarization and framing effects occur in investment decisions. More importantly, group decisions in a gain situation appear to be more cautious, i.e., risk averse, than individual decisions, whereas group decisions in the loss situation appear to be more risky than individual decisions. Thus, group decision making may expand framing effects when it comes to investment choices through group polarization.

  18. Investing in New Technology in Pulmonary Medicine: Navigating the Tortuous Path to Success.

    Science.gov (United States)

    Kruklitis, Robert; French, Kim; Cangelosi, Michael Joseph; Kovitz, Kevin L

    2017-09-01

    The introduction of new technologies offers the promise to advance medicine. This occurs alongside improved efforts to control costs of health care by hospital administrators, the Centers for Medicare & Medicaid Services' (CMS) pivot to value programs, and commercial payers' efforts to reduce reimbursement. These trends present a challenge for the pulmonologist, among others, who must navigate increasingly complex and highly scrutinized evaluation processes used to secure new technology (NT). Health-care providers are turning toward value assessments while simultaneously tasked with the mission of offering state of the art technologies and services. Pulmonologists desiring NT are thus faced with increased scrutiny in their evaluation of costs and clinical data to support investments. Consideration of this scrutiny and further evidence to temper the evaluation will improve the likelihood of adoption and patient access to clinically impactful technology. The identification of this evidence may provide a comprehensive view of the clinical and economic benefits of such technologies to both administrators and pulmonary clinicians. It is imperative that all parties involved in the decision process work collaboratively to deploy value added and clinically impactful technologies. Although a physician group might invest in such NT, the capital required often leads such decisions to a larger organization such as a hospital, health-care system, or privately owned entity. This article aims to provide a framework for pulmonary clinicians to better understand the processes that purchasers use to evaluate NT, the pressures that influence their consideration, and what resources may be leveraged toward success. Copyright © 2017 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

  19. Future carbon regulations and current investments in alternative coal-fired power plant technologies

    International Nuclear Information System (INIS)

    Sekar, Ram C.; Parsons, John E.; Herzog, Howard J.; Jacoby, Henry D.

    2007-01-01

    We analyze how uncertain future US carbon regulations shape the current choice of the type of power plant to build. Our focus is on two coal-fired technologies, pulverized coal (PC) and integrated coal gasification combined cycle technology (IGCC). The PC technology is cheapest-assuming there is no need to control carbon emissions. The IGCC technology may be cheaper if carbon must be captured. Since power plants last many years and future regulations are uncertain, a US electric utility faces a standard decision under uncertainty. A company will confront the range of possible outcomes, assigning its best estimate of the probability of each scenario, averaging the results and determining the power plant technology with the lowest possible cost inclusive of expected future carbon related costs, whether those costs be in the form of emissions charges paid or capital expenditures for retrofitting to capture carbon. If the company assigns high probability to no regulation or to less stringent regulation of carbon, then it makes sense for it to build the PC plant. But if it assigns sufficient probability to scenarios with more stringent regulation, then the IGCC technology is warranted. We provide some useful benchmarks for possible future regulation and show how these relate back to the relative costs of the two technologies and the optimal technology choice. Few of the policy proposals widely referenced in the public discussion warrant the choice of the IGCC technology. Instead, the PC technology remains the least costly. However, recent carbon prices in the European Emissions Trading System are higher than these benchmarks. If it is any guide to possible future penalties for emissions in the US, then current investment in the IGCC technology is warranted. Of course, other factors need to be factored into the decision as well

  20. Optimal Strategies for Low Carbon Supply Chain with Strategic Customer Behavior and Green Technology Investment

    Directory of Open Access Journals (Sweden)

    Wen Jiang

    2016-01-01

    Full Text Available Climate change is mainly caused by excessive emissions of carbon dioxide and other greenhouse gases. In order to reduce carbon emissions, cap and trade policy is implemented by governments in many countries, which has significant impacts on the decisions of companies at all levels of the low carbon supply chain. This paper investigates the decision-making and coordination of a low carbon supply chain consisting of a low carbon manufacturer who produces one product and is allowed to invest in green technology to reduce carbon emissions in production and a retailer who faces stochastic demands formed by homogeneous strategic customers. We investigate the optimal production, pricing, carbon trading, and green technology investment strategies of the low carbon supply chain in centralized (including Rational Expected Equilibrium scenario and quantity commitment scenario and decentralized settings. It is demonstrated that quantity commitment strategy can improve the profit of the low carbon supply chain with strategic customer behavior. We also show that the performance of decentralized supply chain is lower than that of quantity commitment scenario. We prove that the low carbon supply chain cannot be coordinated by revenue sharing contract but by revenue sharing-cost sharing contract.

  1. Unintended possible consequences of fuel input taxes for individual investments in greenhouse gas mitigation technologies and the resulting emissions

    Directory of Open Access Journals (Sweden)

    Heinz E. Klingelhöfer

    2017-03-01

    Full Text Available Background: South Africa is planning to introduce a carbon tax as a Pigouvian measure for the reduction of greenhouse gas emissions, one of the tax bases designed as a fuel input tax. In this form, it is supposed to incentivise users to reduce and/or substitute fossil fuels, leading to a reduction of CO2 emissions. Aim: This article examines how such a carbon tax regime may affect the individual willingness to invest in greenhouse gas mitigation technologies. Setting: Mathematical derivation, using methods of linear programming, duality theory and sensitivity analysis. Methods: By employing a two-step evaluation approach, it allows to identify the factors determining the maximum price an individual investor would pay for such an investment, given the conditions of imperfect markets. Results: This price ceiling depends on the (corrected net present values of the payments and on the interdependencies arising from changes in the optimal investment and production programmes. Although the well-established results of environmental economics usually can be confirmed for a single investment, increasing carbon taxes may entail sometimes contradictory and unexpected consequences for individual investments in greenhouse gas mitigation technologies and the resulting emissions. Under certain circumstances, they may discourage such investments and, when still undertaken, even lead to higher emissions. However, these results can be interpreted in an economically comprehensible manner. Conclusion: Under the usually given conditions of imperfect markets, the impact of a carbon tax regime on individual investment decisions to mitigate greenhouse gas emissions is not as straight forward as under the usually assumed, but unrealistically simplifying perfect market conditions. To avoid undesired and discouraging effects, policy makers cannot make solitary decisions, but have to take interdependencies on the addressee´s side into account. The individual investor

  2. The impact of delaying an investment decision on R&D projects in real option game

    International Nuclear Information System (INIS)

    Chang, Shuhua; Li, Yue; Gao, Fanglu

    2016-01-01

    In a research and development (R&D) investment, the cost and the project value of such an investment are usually uncertain, which thus increases its complexity. Correspondingly, the NPV (Net Present Value) rule fails to evaluate the value of this project exactly, because this method does not take into account the market uncertainty, irreversibility of investment and ability of delay entry. In this paper, we employ the real option theory to evaluate the project value of a R&D investment. Since the cost of a R&D investment is very high and the flow of the information is crowded, an investor cannot make an immediate decision every time. So, the proposed real option model is an exchange option. At the same time, combining the real option and the game theory, we can find the Nash equilibrium which is the optimal strategy. Moreover, we also study how the delayed time influences the price of the project investment and how the different delayed times effect the choice of the optimal strategies.

  3. The Value of Human Capital Signals for Investment Decision Making under Uncertainty

    DEFF Research Database (Denmark)

    Hain, Daniel; Christensen, Jesper Lindgaard; Jurowetzki, Roman

    environments as our empirical setting. A large body of research from behavioral economics illustrates that when faced with uncertain and complex decision problems, investors tend to rely on simple heuristics and rules-of thumb, derived by easily accessible and assessable signals. Yet, with increasing...... with a similar pair that did lead to an investment. Based on Crunchbase investment data, we gather via LinkedIn and further sources detailed information on the founders professional and education background. We find human capital signals from the entrepreneurs to be of higher importance for investors when...

  4. A Laboratory Simulation of Parental Investment Decisions: The Role of Future Reproductive Opportunities and Quality of Offspring in Determining Levels of Parental Investment

    Directory of Open Access Journals (Sweden)

    Stefanie L. Turner

    2006-01-01

    Full Text Available Hagen's Defection Hypothesis (2002 predicts that a mother's age and the quality of her offspring are critical factors in determining her investment in her newborn. We tested this hypothesis using hamster races in which 113 college student participants received a hamster (“offspring” and 10 poker chips (“resources” to “invest” into the hamster based on information about the quality of the hamster and about the possibility of future races. Subjects invested the most in low quality offspring when they expected to run only one race and the least in low quality offspring when they expected more racing opportunities in the future. Offspring quality affected investment differently depending on the presence or absence of future investment opportunities and the sex of the subject. Overall, the results supported Hagen's model of parental investment and also suggest that parental investment may be explained by conscious as well as unconscious decision-making.

  5. Breaking up is hard to do: why disinvestment in medical technology is harder than investment.

    Science.gov (United States)

    Haas, Marion; Hall, Jane; Viney, Rosalie; Gallego, Gisselle

    2012-05-01

    Healthcare technology is a two-edged sword - it offers new and better treatment to a wider range of people and, at the same time, is a major driver of increasing costs in health systems. Many countries have developed sophisticated systems of health technology assessment (HTA) to inform decisions about new investments in new healthcare interventions. In this paper, we question whether HTA is also the appropriate framework for guiding or informing disinvestment decisions. In exploring the issues related to disinvestment, we first discuss the various HTA frameworks which have been suggested as a means of encouraging or facilitating disinvestment. We then describe available means of identifying candidates for disinvestment (comparative effectiveness research, clinical practice variations, clinical practice guidelines) and for implementing the disinvestment process (program budgeting and marginal analysis (PBMA) and related techniques). In considering the possible reasons for the lack of progress in active disinvestment, we suggest that HTA is not the right framework as disinvestment involves a different decision making context. The key to disinvestment is not just what to stop doing but how to make it happen - that is, decision makers need to be aware of funding disincentives.

  6. A System Dynamics Analysis of Investment, Technology and Policy that Affect Natural Gas Exploration and Exploitation in China

    Directory of Open Access Journals (Sweden)

    Jianzhong Xiao

    2017-01-01

    Full Text Available Natural gas has an increasing role in Chinese energy transformation. We present a system dynamics model of the natural gas industry in China. A new system dynamics model for natural gas companies based on reserve exploration and well construction as well as investment dynamics is proposed. The contribution of the paper is to analyze the influence of technology, investment and policy factors on the natural gas industry. We found that the dynamics of the main variables, including gas policy, cost of investment, accounting depreciation and exploitation technology, are sensitive to the sustainable development of resources. The simulations and results presented here will be helpful for government to reform policies, and for upstream companies to make decisions.

  7. Intelligent Decision Technologies : Proceedings of the 4th International Conference on Intelligent Decision Technologies

    CERN Document Server

    Watanabe, Toyohide; Phillips-Wren, Gloria; Howlett, Robert; Jain, Lakhmi

    2012-01-01

    The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others.  Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces,...

  8. Two-part payments for the reimbursement of investments in health technologies.

    Science.gov (United States)

    Levaggi, Rosella; Moretto, Michele; Pertile, Paolo

    2014-04-01

    The paper studies the impact of alternative reimbursement systems on two provider decisions: whether to adopt a technology whose provision requires a sunk investment cost and how many patients to treat with it. Using a simple economic model we show that the optimal pricing policy involves a two-part payment: a price equal to the marginal cost of the patient whose benefit of treatment equals the cost of provision, and a separate payment for the partial reimbursement of capital costs. Departures from this scheme, which are frequent in DRG tariff systems designed around the world, lead to a trade-off between the objective of making effective technologies available to patients and the need to ensure appropriateness in use. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  9. Research on the robust optimization of the enterprise's decision on the investment to the collaborative innovation: Under the risk constraints

    International Nuclear Information System (INIS)

    Zhou, Qing; Fang, Gang; Wang, Dong-peng; Yang, Wei

    2016-01-01

    Abstracts: The robust optimization model is applied to analyze the enterprise's decision of the investment portfolio for the collaborative innovation under the risk constraints. Through the mathematical model deduction and the simulation analysis, the research result shows that the enterprise's investment to the collaborative innovation has relatively obvious robust effect. As for the collaborative innovation, the return from the investment coexists with the risk of it. Under the risk constraints, the robust optimization method could solve the minimum risk as well as the proportion of each investment scheme in the portfolio on the condition of different target returns from the investment. On the basis of the result, the enterprise could balance between the investment return and risk and make optimal decision on the investment scheme.

  10. Research on investment decisions model of trans-regional transmission network based on the theory of NPV

    Science.gov (United States)

    Zai, Wenjiao; Wang, Bo; Liu, Jichun; Shi, Haobo; Zeng, Pingliang

    2018-02-01

    The investment decision model of trans-regional transmission network in the context of Global Energy Internet was studied in this paper. The key factors affecting the trans-regional transmission network investment income: the income tax rate, the loan interest rate, the expected return on investment of the investment subject, the per capita GDP and so on were considered in the transmission network investment income model. First, according to the principle of system dynamics, the causality diagram of key factors was constructed. Then, the dynamic model of transmission investment decision was established. A case study of the power transmission network between China and Mongolia, through the simulation of the system dynamic model, the influence of the above key factors on the investment returns was analyzed, and the feasibility and effectiveness of the model was proved.

  11. Decision support software technology demonstration plan

    Energy Technology Data Exchange (ETDEWEB)

    SULLIVAN,T.; ARMSTRONG,A.

    1998-09-01

    The performance evaluation of innovative and alternative environmental technologies is an integral part of the US Environmental Protection Agency's (EPA) mission. Early efforts focused on evaluating technologies that supported the implementation of the Clean Air and Clean Water Acts. In 1986 the Agency began to demonstrate and evaluate the cost and performance of remediation and monitoring technologies under the Superfund Innovative Technology Evaluation (SITE) program (in response to the mandate in the Superfund Amendments and Reauthorization Act of 1986 (SARA)). In 1990, the US Technology Policy was announced. This policy placed a renewed emphasis on making the best use of technology in achieving the national goals of improved quality of life for all Americans, continued economic growth, and national security. In the spirit of the technology policy, the Agency began to direct a portion of its resources toward the promotion, recognition, acceptance, and use of US-developed innovative environmental technologies both domestically and abroad. Decision Support Software (DSS) packages integrate environmental data and simulation models into a framework for making site characterization, monitoring, and cleanup decisions. To limit the scope which will be addressed in this demonstration, three endpoints have been selected for evaluation: Visualization; Sample Optimization; and Cost/Benefit Analysis. Five topics are covered in this report: the objectives of the demonstration; the elements of the demonstration plan; an overview of the Site Characterization and Monitoring Technology Pilot; an overview of the technology verification process; and the purpose of this demonstration plan.

  12. Study on optimized decision-making model of offshore wind power projects investment

    Science.gov (United States)

    Zhao, Tian; Yang, Shangdong; Gao, Guowei; Ma, Li

    2018-02-01

    China’s offshore wind energy is of great potential and plays an important role in promoting China’s energy structure adjustment. However, the current development of offshore wind power in China is inadequate, and is much less developed than that of onshore wind power. On the basis of considering all kinds of risks faced by offshore wind power development, an optimized model of offshore wind power investment decision is established in this paper by proposing the risk-benefit assessment method. To prove the practicability of this method in improving the selection of wind power projects, python programming is used to simulate the investment analysis of a large number of projects. Therefore, the paper is dedicated to provide decision-making support for the sound development of offshore wind power industry.

  13. Cap-and-trade policy: The influence on investments in carbon dioxide reducing technologies in Indiana

    Science.gov (United States)

    Fahie, Monique

    With most of the energy produced in the state of Indiana coming from coal, the implementation of policy instruments such as cap-and-trade, which is included in the most recent climate bill, will have significant effects. This thesis provides an analysis of the effects that a cap-and-trade policy might have on the investment decisions for alternative technologies in the power plant sector in Indiana. Two economic models of representative coal-fired power plants, Gallagher (600MW) and Rockport (2600MW), are selected and used to evaluate the repowering decision of a plant for several technologies: integrated gasification combined cycle (IGCC), wind farm combined with natural gas combined cycle (NGCC) and supercritical pulverized coal (SCPC). The firm will make its decisions based on the net present value (NPV) of cost estimates for these CO2 reducing technologies, the cost of purchasing offsets and CO 2 allowances. This model is applied to a base case and three American Clean Energy and Security Act of 2009 cases derived from the Energy Information Administration (EIA, 2009b). A sensitivity analysis is done on the discount rate and capital costs. The results of the study indicate that a SCPC plant without carbon capture and storage (CCS) is the least costly compliance option for both plants under all of the cases while retrofitting the existing plant with CCS is the most expensive. Gallagher's three least expensive options across most scenarios were SCPC without CCS, the operation of the existing plant as is and investment in wind plus NGCC. Rockport's three least expensive compliance options across most scenarios were SCPC without CCS, the operation of the existing plant as is and IGCC without CCS. For both plants, when a 12% discount rate is utilized, NPV of costs are generally lower and the operation of the existing plant technology with the aid of allowances and offsets to be in compliance is the cheapest option. If capital costs were to decrease by 30%, a SCPC

  14. Report: EPA Needs to Improve Recording Information Technology Investments and Issue a Policy Covering All Investments

    Science.gov (United States)

    Report #15-P-0292, September 22, 2015. The EPA management of its $334 million in IT investments is noncompliant with its current policy. Thus, the EPA is at risk of not managing taxpayer dollars properly.

  15. Correlated wind-power production and electric load scenarios for investment decisions

    International Nuclear Information System (INIS)

    Baringo, L.; Conejo, A.J.

    2013-01-01

    Highlights: ► Investment models require an accurate representation of the involved uncertainty. ► Demand and wind power production are correlated and uncertain parameters. ► Two methodologies are provided to represent uncertainty and correlation. ► An accurate uncertainty representation is crucial to get optimal results. -- Abstract: Stochastic programming constitutes a useful tool to address investment problems. This technique represents uncertain input data using a set of scenarios, which should accurately describe the involved uncertainty. In this paper, we propose two alternative methodologies to efficiently generate electric load and wind-power production scenarios, which are used as input data for investment problems. The two proposed methodologies are based on the load- and wind-duration curves and on the K-means clustering technique, and allow representing the uncertainty of and the correlation between electric load and wind-power production. A case study pertaining to wind-power investment is used to show the interest of the proposed methodologies and to illustrate how the selection of scenarios has a significant impact on investment decisions.

  16. TAX RESEARCH Financial Accounting versus Tax Accounting - Tax Rules’ Impact on Investment Decisions

    OpenAIRE

    Dr.Sc. Skender Ahmeti; Dr.Sc. Muhamet Aliu; MSc. Alban Elshani; Yllka Ahmeti

    2014-01-01

    This paper provides guidance for all those interested in research related to tax. In the study are included three main areas dealing with taxes and about taxes: (1) the role of information in corporation tax expenditures under the rules and laws of the country against financial statements according to international accounting standards, (2) case study PTK; how much effective tax and tax on extra profit has it paid (3) the impact of tax rules on investment decisions - the reasons and profits o...

  17. In search of the "lost capital". A theory for valuation, investment decisions, performance measurement

    OpenAIRE

    Magni, Carlo Alberto

    2007-01-01

    This paper presents a theoretical framework for valuation, investment decisions, and performance measurement based on a nonstandard theory of residual income. It is derived from the notion of "unrecovered" capital, which is here named "lost" capital because it represents the capital foregone by the investors. Its theoretical strength and meaningfulness is shown by deriving it from four main perspectives: financial, microeconomic, axiomatic, accounting. Implications for asset valuation, cap...

  18. Model of Risk Forewarn and Investment Decision in Stock Markets and Its Realization

    Institute of Scientific and Technical Information of China (English)

    ZOU Hui-wen; TANG Bing-yong; WANG Li-ping; XU Guang-wei

    2004-01-01

    Based on the discussion of characteristic and mechanism of the stock prices volatility in Chinese emerging stock markets, this research designs an index system for risk forewarn, and builds up an investment decision model based on the forewarn of the market risk signal. Then, on probing into the structure and function of the realization of the model, the paper presents the method of data interface.

  19. Industrial energy efficiency: the need for investment decision support from a manager perspective

    International Nuclear Information System (INIS)

    Sandberg, Peter; Soederstroem, Mats

    2003-01-01

    Global competition, commitment to the Kyoto Protocol and a deregulated, integrated European electricity market will in all probability increase the demand for energy efficiency on the part of companies in Sweden. Investment decisions are an important part of meeting the new demands, because they decide the future efficiency of industrial energy systems. The objective of this study is to investigate, from a managerial perspective, the need to improve decision support in some industries, which can help to facilitate and improve investment decisions concerning energy efficiency. This work has been conducted through in-depth interviews with representatives for a number of energy-intensive companies and non-energy-intensive companies from different sectors. One need that was identified was the improvement of working methods in order to support the decision-making process. Here, external players seem to be playing an increasingly important role. Access to correct information, better follow-up activities, and transparent, understandable calculations are also considered to be important. The study will form the foundation for subsequent work on decision support and energy efficiency in industry

  20. Effect of Green Technology Investment on a Production-Inventory System with Carbon Tax

    Directory of Open Access Journals (Sweden)

    Tapan Kumar Datta

    2017-01-01

    Full Text Available Carbon emissions play the central role in global warming. Manufacturing firms are significant contributors to carbon emissions. In many countries, regulatory authorities are taking actions to reduce emissions. Carbon taxation and cap-and-trade schemes are two mechanisms implemented in many countries. In the present paper, the author analyzes a production-inventory model under a carbon tax system. The production rate is assumed to be a decision variable and can be set at any level within machine limits. A proportion of items produced are defective, and this proportion depends on the production rate. Demand depends on the selling price. Unit price is a decreasing function of the production rate. Emissions can be reduced to some extent by capital investment on green technology, and this capital investment amount is a decision variable. Customers are categorized as retail customers and wholesale customers. A discount is offered to the wholesale customers on the regular selling price. The results are illustrated by a numerical example and a sensitivity analysis is performed.

  1. Probabilistic decision model of wind power investment and influence of green power market

    International Nuclear Information System (INIS)

    Gillenwater, Michael

    2013-01-01

    This paper presents results from a model of a representative wind power investor's decision making process using a Monte Carlo simulation of a project financial analysis. Data, in the form of probability distribution functions (PDFs) for key input variables were collected from interviews with investors and other professionals active in the U.S. wind power industry using a formal expert elicitation protocol. This study presents the first quantitative estimates of the effect of the U.S. voluntary Renewable Energy Certificate (REC) market on renewable energy generation. The results indicate that the investment decisions of wind power project developers in the United States are unlikely to have been altered by the voluntary REC market. The problem with the current voluntary REC market is that it does not offer developers a reliable risk-adjusted revenue stream. Consequently, the claims by U.S. green power retailers and promoters that voluntary market RECs result in additional wind power projects lack credibility. Even dramatic increases in voluntary market REC prices, in the absence of long-term contracts, were found to have only a small effect on investor behavior. - Highlights: • I use a formal expert elicitation to collect data from wind power investors. • I use a Monte Carlo model to look at the influence of Renewable Energy Certificates on investment. • Investment decisions are unlikely to have been altered by the voluntary REC market. • Claims that the U.S. green power market result in additional wind power lack credibility

  2. Technology Spillover from Foreign Direct Investment in Turkey

    Directory of Open Access Journals (Sweden)

    Özcan Karahan

    2016-12-01

    quarterly data for the period of 2002 and 2015 in Turkey. Thus we try to examine whether technological diffusion generated by FDI inflows to Turkey enhances the innovative capability of the country or not. Design/methodology/approach – The variables Foreign Direct Investment (FDI and Gross Domestic Product (GDP are sourced from Electronic Data Delivery System (EDDS in Central Bank of the Republic of Turkey. FDI series consist of values called "Net Incurrence of Liabilities" in Balance of Payments Analytical Presentation while GDP series gather from the expenditure based GDP data in EDDS. Both Johansen Cointegration Test and Granger Causality Test are applied to examine between Foreign Direct Investment flows and economic growth in Turkey. Findings – Results reveal that there is not any significant link among the FDI and economic growth during the studied time period in Turkey. It seems that FDI inflows to Turkey is not complementary to economic growth, which shows that positive spillover effect sourced from FDI inflows to Turkey does not exist. Research limitations/implications – Policymakers should recognize that technology spillover effects of FDI do not occur without greater absorptive capacity. Attracting FDI is only one part of the story and thus not yield the desired benefits itself. Positive effects of FDI depends on the overall incentive and capacity structure of the host country. Then the key policy implication here is that policymakers should give same weight of policies aimed at attracting FDI versus those that seek to improve local economic conditions. Originality/value – This study insight the spillover effects of FDI based on Turkish experience that benefits from FDI do not occur automatically and effortlessly in developing countries.

  3. Do investment-specific technological changes matter for business fluctuations? Evidence from Japan

    OpenAIRE

    Hirose, Yasuo; Kurozumi, Takushi

    2011-01-01

    The observed decline in the relative price of investment goods to consumption goods in Japan suggests the existence of investment-specific technological (IST) changes. We examine whether IST changes are a major source of business fluctuations in Japan, by estimating a dynamic stochastic general equilibrium model with Bayesian methods. We show that IST changes are less important than neutral technological changes in explaining output fluctuations. We also demonstrate that investment fluctuatio...

  4. An energy pricing scheme for the diffusion of decentralized renewable technology investment in developing countries

    International Nuclear Information System (INIS)

    Thiam, Djiby Racine

    2011-01-01

    The purpose of this paper is to investigate price support for market penetration of renewable energy in developing nations through a decentralized supply process. We integrate the new decentralized energy support: renewable premium tariff, to analyze impacts of tariff incentives on the diffusion of renewable technology in Senegal. Based on photovoltaic and wind technologies and an assessment of renewable energy resources in Senegal, an optimization technique is combined with a cash flow analysis to investigate investment decisions in renewable energy sector. Our findings indicate that this support mechanism could strengthen the sustainable deployment of renewable energy in remote areas of Senegal. Although different payoffs emerged, profits associated with a renewable premium tariff are the highest among the set of existing payoffs. Moreover in analyzing impacts of price incentives on social welfare, we show that price tariffing schemes must be strategically scrutinized in order to minimize welfare loss associated with price incentives. Finally we argue that a sustainable promotion of incentive mechanisms supporting deployment of renewable technology in developing nations should be carried out under reliable institutional structures. The additional advantage of the proposed methodology is its ability to integrate different stakeholders (producers, investors and consumers) in the planning process. - Highlights: → We simulate impacts of price support for market penetration of renewable technology in developing nations. → An array of price incentive mechanisms strengthens diffusion of renewable technology in Senegal. → Moreover, reliable institutional frameworks in developing nations are a requirement in order to strengthen diffusion path of renewable technologies.

  5. Do as you say - Say as you do: Measuring the actual use of environmental information in investment decisions

    DEFF Research Database (Denmark)

    Rikhardsson, Pall M.; Holm, Claus

    2005-01-01

    This paper focuses on the use of environmental information in investment decision making. The research approach employed was based on an experiment where three groups were asked to allocate investment funds between two companies based on financial accounts and information material from...... these companies. The overall conclusion of the paper is that even though environmental information is not enough in itself to shift decision preferences, it seems to have some impact on decision making. However, there seems to be a discrepancy between what decision makers say they do and what they actually do....... First, environmental information apparently has greater impact on decision making in the short run than the long run despite decision makers saying that they value environmental information more regarding long-run investments. Second, decision makers downplay the value of environmental information...

  6. The decision concerning the nuclear investment: influence of the industrial structure

    International Nuclear Information System (INIS)

    Guillerminet, M.L.

    2000-10-01

    This report aims to analyze the investment behavior of an enterprise producing nuclear origin electric power in an european market opening to the competition. In this context, the industrial structure controlled by the governor decides the investment in a marginal equipment: either an integrated monopole structure which leads to a regulation at the cost price rate of return; or a pool structure in which the governor intervene to fix the cost price at the marginal cost level given by the main technology of the gas combined cycles. (A.L.B.)

  7. Mode of foreign entry, technology transfer, and foreign direct investment policy

    OpenAIRE

    Mattoo, Aaditya; Olarreaga, Marcelo; Saggi, Kamal

    2001-01-01

    Foreign direct investment can take place through the direct entry of foreign firms or the acquisition of existing domestic firms. Mattoo, Olarreaga, and Saggi examine the preferences of a foreign firm and the host country government with respect to these two modes of foreign direct investment in the presence of costly technology transfer. The tradeoff between technology transfer and market...

  8. 2016 Decadal Update of the NASA ESTO Lidar Technologies Investment Strategy

    Science.gov (United States)

    Valinia, Azita; Tratt, David M.; Lotshaw, William T.; Gaab, Kevin M.; Komar, George J.; Rioux, Norman M.; Perez, Mario R.; Smith, Erin C.

    2016-01-01

    We describe the 2016 update of the NASA Earth Science Technology Office (ESTO) investment strategy in the area of lidar technologies as pertaining to NASAs Earth Science measurement goals in the next decade.

  9. Barriers to investments in energy saving technologies. Case study for the industry

    NARCIS (Netherlands)

    Masselink, Dirk Jan

    2007-01-01

    To realise future energy saving targets, the government needs to increase energy reduction rates. One option to increase energy savings is found in removing barriers to investments in cost-effective energy saving technologies. Many technologies save energ

  10. Decision support for selecting exportable nuclear technology using the analytic hierarchy process: A Korean case

    International Nuclear Information System (INIS)

    Lee, Deok Joo; Hwang, Jooho

    2010-01-01

    The Korean government plans to increase strategically focused R and D investment in some promising nuclear technology areas to create export opportunities of technology in a global nuclear market. The purpose of this paper is to present a decision support process for selecting promising nuclear technology with the perspective of exportability by using the AHP based on extensive data gathered from nuclear experts in Korea. In this study, the decision criteria for evaluating the export competitiveness of nuclear technologies were determined, and a hierarchical structure for the decision-making process was systematically developed. Subsequently relative weights of decision criteria were derived using AHP methodology and the export competitiveness of nuclear technology alternatives was quantified to prioritize them. We discuss the implications of our results with a viewpoint toward national nuclear technology policy.

  11. Heat savings and heat generation technologies: Modelling of residential investment behaviour with local health costs

    DEFF Research Database (Denmark)

    Zvingilaite, Erika; Klinge Jacobsen, Henrik

    2015-01-01

    The trade-off between investing in energy savings and investing in individual heating technologies with high investment and low variable costs in single family houses is modelled for a number of building and consumer categories in Denmark. For each group the private economic cost of providing hea...... for private consumers decrease by 66% when all have the option to shift to the technology with lowest variable costs. © 2014 Elsevier Ltd. All Rights reserved......The trade-off between investing in energy savings and investing in individual heating technologies with high investment and low variable costs in single family houses is modelled for a number of building and consumer categories in Denmark. For each group the private economic cost of providing...

  12. Optimization as investment decision support in a Swedish medium-sized iron foundry - A move beyond traditional energy auditing

    International Nuclear Information System (INIS)

    Thollander, Patrik; Mardan, Nawzad; Karlsson, Magnus

    2009-01-01

    Due to increased globalisation, industries are facing greater competition that is pressing companies into decreasing their expenses in order to increase their profits. As regards Swedish industry, it has been faced with substantial increases in energy prices in recent years. Barriers to energy efficiency such as imperfect information inhibit investments in energy efficiency measures, energy audits being one means of reducing barriers and overcoming imperfect information. However, an evaluation of such energy audits in Sweden reveals that it is chiefly low-cost measures that are undertaken as a result of an audit. Moreover, these audits often tend to focus on support processes such as ventilation, lighting, air compressors etc., while measures impacting production processes are often not as extensively covered, which underlines the need for further support in addition to energy audits. Decision support is practised in a variety of different disciplines such as optimization and simulation and the aim of this paper is to explore whether investment decision support practices may be used successfully towards small and medium-sized manufacturers in Sweden when complex production-related investment decisions are taken. The optimization results from the different cases, involving a foundry's investment in a new melting unit, indicate that with no electricity price fluctuations over the day, the investment seems sound as it lowers the overall energy costs. However, with fluctuating electricity prices, there are no large differences in energy costs between the option of retaining the existing five melting furnaces at the foundry and investing in a twin furnace and removing the holding furnaces - which was the initial investment plan for the foundry in the study. It would not have been possible to achieve this outcome without the use of investment decision support such as MIND. One of the main conclusions in this paper is that investment decision support, when strategic

  13. A methodological model to assist in the optimization and risk management of mining investment decisions

    International Nuclear Information System (INIS)

    Botin, Jose A; Guzman, Ronald R; Smith, Martin L

    2011-01-01

    Identifying, quantifying, and minimizing technical risks associated with investment decisions is a key challenge for mineral industry decision makers and investors. However, risk analysis in most bankable mine feasibility studies are based on the stochastic modeling of project N et Present Value (NPV)which, in most cases, fails to provide decision makers with a truly comprehensive analysis of risks associated with technical and management uncertainty and, as a result, are of little use for risk management and project optimization. This paper presents a value-chain risk management approach where project risk is evaluated for each step of the project life cycle, from exploration to mine closure, and risk management is performed as a part of a stepwise value-added optimization process.

  14. The investment decision and its funding in an evolving institutional environment: application of the real options theory to the case of nuclear

    International Nuclear Information System (INIS)

    Guillerminet, Marie-Laure

    2002-01-01

    This research thesis aims at analysing the investment behaviour of an electric company in a European market which becomes uncertain due to opening to competition. The author studies the problem of company which has the opportunity to invest in nuclear equipment, must take an irreversible investment decision in, and must choose the share of debt with respect to its internal capital. Before addressing these issues, the author discusses the impact of deregulation of the investment rule and develops methodological principles of investment and funding. Then she discusses the influence of the industrial structure of nuclear investments decision, examines the investment decision and its optimal funding in a sector which is being deregulated

  15. A decision support model for investment on P2P lending platform.

    Science.gov (United States)

    Zeng, Xiangxiang; Liu, Li; Leung, Stephen; Du, Jiangze; Wang, Xun; Li, Tao

    2017-01-01

    Peer-to-peer (P2P) lending, as a novel economic lending model, has triggered new challenges on making effective investment decisions. In a P2P lending platform, one lender can invest N loans and a loan may be accepted by M investors, thus forming a bipartite graph. Basing on the bipartite graph model, we built an iteration computation model to evaluate the unknown loans. To validate the proposed model, we perform extensive experiments on real-world data from the largest American P2P lending marketplace-Prosper. By comparing our experimental results with those obtained by Bayes and Logistic Regression, we show that our computation model can help borrowers select good loans and help lenders make good investment decisions. Experimental results also show that the Logistic classification model is a good complement to our iterative computation model, which motivates us to integrate the two classification models. The experimental results of the hybrid classification model demonstrate that the logistic classification model and our iteration computation model are complementary to each other. We conclude that the hybrid model (i.e., the integration of iterative computation model and Logistic classification model) is more efficient and stable than the individual model alone.

  16. A decision support model for investment on P2P lending platform.

    Directory of Open Access Journals (Sweden)

    Xiangxiang Zeng

    Full Text Available Peer-to-peer (P2P lending, as a novel economic lending model, has triggered new challenges on making effective investment decisions. In a P2P lending platform, one lender can invest N loans and a loan may be accepted by M investors, thus forming a bipartite graph. Basing on the bipartite graph model, we built an iteration computation model to evaluate the unknown loans. To validate the proposed model, we perform extensive experiments on real-world data from the largest American P2P lending marketplace-Prosper. By comparing our experimental results with those obtained by Bayes and Logistic Regression, we show that our computation model can help borrowers select good loans and help lenders make good investment decisions. Experimental results also show that the Logistic classification model is a good complement to our iterative computation model, which motivates us to integrate the two classification models. The experimental results of the hybrid classification model demonstrate that the logistic classification model and our iteration computation model are complementary to each other. We conclude that the hybrid model (i.e., the integration of iterative computation model and Logistic classification model is more efficient and stable than the individual model alone.

  17. The decision of investing in hydrocarbons exploration:The Colombian case

    International Nuclear Information System (INIS)

    Rodado Noriega, Carlos

    1999-01-01

    Daily millions of people dedicate apportion from their revenues to investments in games of chance with the hope of achieving the reward bigger, but without having to make a great effort. These investors bet to their luck, without having in most of the cases knowledge about the risk of losing their investment, because they are not aware of the scarce probabilities that have of winning. There are other investors of more size that play to the same thing, but in different scenarios, like they are the companies that invest in the oil business of the up stream. These companies, they bet to a geologic lottery that offers them investment opportunities, with big prizes that can compensate the risk to that they are exposed the capitals in this activity. These investors, for contrast with those that mix the hope with the amusement, if they have conscience of the risk that involves the search and exploitation of hydrocarbons and they have developed theories and technologies with which can diminish those uncertainties and to quantify them in such a way that they have the capacity to evaluate and to compare the different options that are offered inside a world every time but competitive. In this reference mark, the capital of risk and the technology constitute the fundamental elements with which it becomes possible search of oil reserves. Therefore they are these two elements, those that most of countries want to attract, to make possible the exploration of this natural class of resources

  18. Maximizing Your Investment in Building Automation System Technology.

    Science.gov (United States)

    Darnell, Charles

    2001-01-01

    Discusses how organizational issues and system standardization can be important factors that determine an institution's ability to fully exploit contemporary building automation systems (BAS). Further presented is management strategy for maximizing BAS investments. (GR)

  19. Information, trust and the limits of “intelligent accountability” in investment decision making: insights from the Madoff case

    OpenAIRE

    Stolowy, Hervé; Baker, Richard; Jeanjean, Thomas; Messner, Martin

    2011-01-01

    In this paper, we use the investment fraud of Bernard Madoff to inquire into the possibilities and limits of an “intelligent accountability” in the context of financial decision making. Drawing primarily upon data related to U.S. Individual investors (interviews and letters), we investigate the role of information and trust in investment decisions. We find that trust played an important role in the Madoff case. We also find that, in face-to-face encounters with the investors, Madoff successfu...

  20. Long-term dynamics of investment decisions in electricity markets with variable renewables development and adequacy objectives

    International Nuclear Information System (INIS)

    Petitet, Marie

    2016-01-01

    In liberalised electricity systems, power markets are expected to ensure the long-term coordination of investments in order to guarantee security of supply, sustainability and competitiveness. In the reference energy-only market, it relies on the ability of power markets - where the hourly price is aligned with the marginal cost of the system - to provide an adequate price-signal for investors. However, in practice, questions have been raised about its ability to trigger investments in Low-Carbon Technologies (LCT) including in particular Renewable Energy Sources of Electricity (RES-E), and its ability to ensure capacity adequacy. After a characterisation of these market failures, this dissertation tackles the two research topics within a methodological framework based on a System Dynamics model developed to simulate private investment decisions in power markets. First, the results show that substituting out-of-market support mechanisms for RES-E by market-based investments helped by the sole implementation of a carbon price appears as a feasible solution to trigger RES-E development providing that there is a political commitment on a high carbon price. Second, it also appears that the energy-only market with price cap is ineffective to ensure capacity adequacy in a context of mature markets with conventional thermal power plants under transition paths which involve a stable electricity demand thank to energy efficiency efforts and the exogenous development of RES-E thanks to support mechanisms in the absence of a high and fixed carbon price. Adding a capacity market or removing the price cap both bring benefits in terms of Loss Of Load Expectation (LOLE) and social welfare. Moreover, considering two various energy transition scenarios and different assumptions about the risk aversion of private investors, the capacity market is identified as the best option for regulators among the considered market designs. (author) [fr

  1. External Finance and the Foreign Direct Investment Decision: Evidence from Privately-Owned-Enterprises in China

    OpenAIRE

    Duanmu, J-L

    2015-01-01

    Access to external finance is found to be a statistically significant factor explaining the probability of privately owned enterprises (POEs) in China undertaking foreign direct investment (FDI). The significance of external finance is magnified in industries featuring a heavy dependence on external finance, high technology, low tangibility, and high inventory. The external finance and FDI linkage is weaker for POEs with group affiliation, but stronger for those with generous employment welfa...

  2. Climate Risk Informed Decision Analysis (CRIDA): A novel practical guidance for Climate Resilient Investments and Planning

    Science.gov (United States)

    Jeuken, Ad; Mendoza, Guillermo; Matthews, John; Ray, Patrick; Haasnoot, Marjolijn; Gilroy, Kristin; Olsen, Rolf; Kucharski, John; Stakhiv, Gene; Cushing, Janet; Brown, Casey

    2016-04-01

    Engineers and water managers have always incorporated uncertainty in water resources operations, design and planning. In recent years, concern has been growing concern that many of the fundamental principles to address uncertainty in planning and design are insufficient for coping with unprecedented shifts in climate, especially given the long lifetimes of water investments - spanning decades, even centuries. Can we design and operate new flood risk management, energy, water supply and sanitation, and agricultural projects that are robust to shifts over 20, 50, or more years? Since about 2009, better approaches to planning and designing under climate uncertainty have been gaining ground worldwide. The main challenge is to operationalize these approaches and bring them from science to practice, embed them within the existing decision-making processes of particular institutions, and shift from highly specialized "boutique" applications to methods that result in consistent, replicable outcomes accessible to water managers worldwide. With CRIDA a serious step is taken to achieve these goals. CRIDA is built on two innovative but complementary approaches that have developed in isolation across the Atlantic over the past seven years: diagnosing and assessing risk (decision scaling), and developing sequential decision steps to compensate for uncertainty within regulatory / performance standards (adaptation pathways). First, the decision scaling or "bottom up" framework to climate change adaptation was first conceptualized during the US/Canada Great Lakes regulation study and has recently been placed in a decision-making context for water-related investments published by the World Bank Second, the adaptation pathways approach was developed in the Netherlands to cope with the level of climate uncertainty we now face. Adaptation pathways is a tool for maintaining options and flexibility while meeting operational goals by envisioning how sequences of decisions can be navigated

  3. THE REGIONAL ASPECT OF USING GEOINFORMATION TECHNOLOGIES AT THE STAGE OF INCREASING THE INVESTMENT ATTRACTIVENESS OF ENGINEERING-PREPARED TERRITORIES

    Directory of Open Access Journals (Sweden)

    A. V. Volkov

    2017-01-01

    Full Text Available This paper highlights the advantages of geoinformation technologies using in the formation of perspective land plots for construction to increase the investment attractiveness of engineering prepared territories. It discusses the formation of land plots, which were prepared for placement of new enterprises, their legal registration and the necessary infrastructure. It analyzes the approaches to pricing prepared land plots in the market, as well as their demand among investors for major investment projects in the construction sector. The paper describes the characteristics of types of sites for construction, substantiating the creation of a data base for prospective engineering prepared territories.The emphasis is made on the question of working with a large amount of spatial information being analyzed that dictates the use of GIS technologies for increasing efficiency of interaction of interested parties. The article analyzes the structure of the Federal geographic information system, created to provide electronic interaction at the level of the Federal Executive power, local government bodies, legal persons and individuals.Geographic information system (GIS of this level can provide a comprehensive assessment of the quality of the prepared documents, execution of project agreements of territorial planning and information support for decision for all levels of government in planning of territory development. GIS allow us to operatively evaluate the investment attractiveness of prospective land plots for construction. The use of technologies of collecting and providing information about engineering prepared territories to potential investors improves the investment attractiveness of the Russian Federation on the whole. 

  4. THEORETICAL FLAWS IN THE USE OF THE CAPM FOR INVESTMENT DECISIONS

    OpenAIRE

    Magni, Carlo Alberto

    2005-01-01

    This paper uses counterexamples and simple formalization to show that the standard CAPM-based Net Present Value may not be used for investment valuations. The reason is that the standard CAPM-based capital budgeting criterion implies a notion of value which does not comply with the principle of additivity. Framing effects arise in decisions so that different descriptions of the same problem lead to different choices. As a result, the CAPM-based NPV as a tool for valuing projects and making in...

  5. The shadow economy: a relevant factor for investment decisions in selected European Union countries

    Directory of Open Access Journals (Sweden)

    Miroslava Kostova Karaboytcheva

    2015-09-01

    Full Text Available The estimation of sovereign risk indicators has a key role for the investment decisions. We were witnesses of inaccurate ratings before the last economic crisis, which altered significantly the results expected by many investors. Thus, we propose an improved rating estimation justifying the insertion of new variables, specifically, the shadow economy as a percentage of the GDP. We find that by taking it into account, the credit rating estimation improves. Our estimation assigns a higher sovereign risk to the new European Union member states, whereas the old European Union member states see their sovereign risk decreased.

  6. 32 CFR 37.110 - What type of instruments are technology investment agreements (TIAs)?

    Science.gov (United States)

    2010-07-01

    ... investment agreements (TIAs)? 37.110 Section 37.110 National Defense Department of Defense OFFICE OF THE... What type of instruments are technology investment agreements (TIAs)? TIAs are assistance instruments used to stimulate or support research. As discussed in appendix B to this part, a TIA may be either a...

  7. An integrated model for part-operation allocation and investments in CNC technology

    NARCIS (Netherlands)

    Bokhorst, J.A.C.; Slomp, J.; Suresh, N.

    2002-01-01

    This study addresses the issue of investment appraisal of new technology, specifically computer numerical control (CNC) machine tools in conjunction with optimal allocation of parts and operations on CNC machines as the investments take place. Part-operation allocation is the allocation of parts and

  8. Potentials of Tracking and Tracing Technologies - The Perspective of IT Decision Makers in Germany

    OpenAIRE

    Knebel, Uta;Leimeister, Jan Marco;Krcmar, Helmut

    2015-01-01

    RFID-technologies have been described as major enabling technologies for automated, contactless data collection. We conveyed a quantitative survey of 463 executives across various industries in Germany to investigate about the perceived strategic importance of RFID among IT decision makers,current RFID usage, companies' intentions to invest in RFID and visions of RFID application. The survey results showed that: - RFID is currently not very widespread. - The importance of RFID will rise signi...

  9. Carbon market risks and rewards: Firm perceptions of CDM investment decisions in Brazil and India

    International Nuclear Information System (INIS)

    Hultman, Nathan E.; Pulver, Simone; Guimarães, Leticia; Deshmukh, Ranjit; Kane, Jennifer

    2012-01-01

    The carbon market experiences of Brazil and India represent policy success stories under several criteria. A careful evaluation, however, reveals challenges to market development that should be addressed in order to make the rollout of a post-2012 CDM more effective. We conducted firm-level interviews covering 82 CDM plants in the sugar and cement sectors in Brazil and India, focusing on how individual managers understood the potential benefits and risks of undertaking clean development mechanism (CDM) investments. Our results indicate that the CDM operates in a far more complex way in practice than that of simply adding a marginal increment to a project's internal rate of return. Our results indicate the following: first, although anticipated revenue played a central role in most managers' decisions to pursue CDM investments, there was no standard practice to account for financial benefits of CDM investments; second, some managers identified non-financial reputational factors as their primary motivation for pursuing CDM projects; and third, under fluctuating regulatory regimes with real immediate costs and uncertain CDM revenue, managers favored projects that often did not require carbon revenue to be viable. The post-2012 CDM architecture can benefit from incorporating these insights, and in particular reassess goals for strict additionality and mechanisms for achieving it.

  10. Influence of elements of “technological revolution” on efficiency of the investment and construction sphere

    Directory of Open Access Journals (Sweden)

    Murashova Olga

    2017-01-01

    Full Text Available The article describes a new view on the investment and construction area taking into consideration the influence of information technologies and innovations. The author has pointed out the basic aspects, which could allow making a break-through in management effectiveness, if being implemented in companies’ business or in investment and construction projects. The article presents the definition of the investment and construction cycle as an integrator of innovation solutions. The paper contains the conclusion about the obvious sector development using active implementation of information modeling of the investment and construction project facilities.

  11. BiodieselFAO: An Integrated Decision Support System for Investment Analysis in the Biodiesel Production Chain

    Directory of Open Access Journals (Sweden)

    Aziz Galvão da Silva Júnior

    2015-06-01

    Full Text Available In the short and medium terms, biofuels are the most viable alternative to reduce the environmental impact of fossil fuels. The recent controversy over the competition between biofuels and food production increases the complexity of investment decisions in the biodiesel production chain. In this context, decision support tools are highly relevant. The purpose of this article is to describe the BiodieselFAO using the Unified Modeling Language (UML. An integrated analysis considering both agricultural and industrial sectors was identified as a key requirement to the system. Therefore, farmers and industry are the main actors in the use case diagram. As the raw material represents around 70% of the industrial cost of biodiesel production, the price negotiation of raw material (oilseeds is the central use case. Configuration, agriculture, industry, results and scenarios are the modules, which encompass the functionalities derived from the UML diagrams. The Food and Agriculture Organization of the United Nations (FAO has made the BiodieselFAO available, free of charge, to around 180 professionals from 17 Latin American countries. Additionally, the developing team has supported the usage of the BiodieselFAO in several biodiesel investment analyses throughout Latin America. The system was also useful in the design and analysis of policy related to biodiesel industry in Brazil.

  12. An exploratory investigation of barriers and enablers affecting investment in renewable companies and technologies in the UK.

    Science.gov (United States)

    Wells, Victoria; Greenwell, Felicity; Covey, Judith; Rosenthal, Harriet E S; Adcock, Mike; Gregory-Smith, Diana

    2013-02-06

    The last few years have seen considerable research expenditure on renewable fuel technologies. However, in many cases, the necessary sustained and long-term funding from the investment community has not been realized at a level needed to allow technologies to become reality. According to global consulting firm Deloitte's recent renewable energy report (http://www.deloitte.com/energypredictions2012), many renewable energy projects stalled or were not completed because of issues including the global economy, the state of government finances, difficulties in funding and regulatory uncertainty. This investigation concentrates on the funding aspect and explores the perceived barriers and enablers to renewable technologies within the investment and renewables community. Thematic analysis of 14 in-depth interviews with representatives from renewable energy producers, banks and investment companies identified key factors affecting the psychology of investor behaviour in renewables. Eight key issues are highlighted, including a range of barriers and enablers, the role of the government, balance between cost/risk, value/return on investment, investment time scales, personality/individual differences of investors and the level of innovation in the renewable technology. It was particularly notable that in the findings the role of the government was discussed more than other themes and generally in quite critical terms, highlighting the need to ensure consistency in government funding and policy and a greater understanding of how government decision-making happens. Specific findings such as these illustrate the value of crossing disciplinary boundaries and highlight potential further research. Behavioural science and economic psychology in particular have much to offer at the interface of other disciplines such as political science and financial economics.

  13. An exploratory investigation of barriers and enablers affecting investment in renewable companies and technologies in the UK

    Science.gov (United States)

    Wells, Victoria; Greenwell, Felicity; Covey, Judith; Rosenthal, Harriet E. S.; Adcock, Mike; Gregory-Smith, Diana

    2013-01-01

    The last few years have seen considerable research expenditure on renewable fuel technologies. However, in many cases, the necessary sustained and long-term funding from the investment community has not been realized at a level needed to allow technologies to become reality. According to global consulting firm Deloitte's recent renewable energy report (http://www.deloitte.com/energypredictions2012), many renewable energy projects stalled or were not completed because of issues including the global economy, the state of government finances, difficulties in funding and regulatory uncertainty. This investigation concentrates on the funding aspect and explores the perceived barriers and enablers to renewable technologies within the investment and renewables community. Thematic analysis of 14 in-depth interviews with representatives from renewable energy producers, banks and investment companies identified key factors affecting the psychology of investor behaviour in renewables. Eight key issues are highlighted, including a range of barriers and enablers, the role of the government, balance between cost/risk, value/return on investment, investment time scales, personality/individual differences of investors and the level of innovation in the renewable technology. It was particularly notable that in the findings the role of the government was discussed more than other themes and generally in quite critical terms, highlighting the need to ensure consistency in government funding and policy and a greater understanding of how government decision-making happens. Specific findings such as these illustrate the value of crossing disciplinary boundaries and highlight potential further research. Behavioural science and economic psychology in particular have much to offer at the interface of other disciplines such as political science and financial economics. PMID:24427512

  14. A multi-criteria decision-making model for evaluating priorities for foreign direct investment

    Directory of Open Access Journals (Sweden)

    Korhan K. Gokmenoglu

    2015-10-01

    Full Text Available The objective of this study is to evaluate the relative priority of nine developed countries as a home country for foreign direct investment (FDI from the vantage point of the United States during three time periods: pre-crisis (2004-2006, crisis (2007-2009, and post-crisis (2010-2012. Our study suggests a methodology based on a combination of the analytic hierarchy process (AHP, the technique for order preference by similarity to ideal solution (TOPSIS, and the multi-period multi-attribute decision-making (MP-MADM technique. To investigate our research question, we selected fifteen robust FDI determinants from recent studies. The results for all three time periods show that productivity, market potential, market size, GDP growth and development have the highest priority in the decision-making process. On the other hand, we found that the 2007 global financial crisis significantly affected each variable in the decision-making process. During the crisis, two variables in particular - corruption and GDP growth - significantly increased in importance. These findings have far-reaching policy implications and can assist policymakers and investors in their strategic decision-making process.

  15. Evaluation of power investment decisions under uncertain carbon policy: A case study for converting coal fired steam turbine to combined cycle gas turbine plants in Australia

    International Nuclear Information System (INIS)

    Shahnazari, Mahdi; McHugh, Adam; Maybee, Bryan; Whale, Jonathan

    2014-01-01

    Highlights: • Policy uncertainty effects quantified in Australian power generation investments. • A decision criterion provided to recommend optimal investment timing. • The Clean Energy Act 2011 and high carbon price policy scenarios investigated. • Post- implementation policy uncertainty creates disincentive for policy objectives. • Setting a higher carbon price may dampen effects of political uncertainty. - Abstract: Greenhouse gas (GHG) intensive fuels are currently a major input into the Australian electricity sector. Accordingly, climate change mitigation policies represent a systematic risk to investment in electricity generation assets. Although the Australian government introduced carbon pricing in 2012 and announced a commitment to the continuation of the Kyoto protocol beyond 2012, the opposition at the time signalled that should they be provided the opportunity they would repeal these policies. This paper uses a real options analysis (ROA) framework to investigate the optimal timing of one potential business response to carbon pricing: investment in the conversion of coal plant to lower emission CCGT plant. An American-style option valuation method is used for this purpose. The viewpoint is from that of a private investor assessing three available options for an existing coal plant: (1) to invest in its conversion to CCGT; (2) to abandon it, or; (3) to take no immediate action. The method provides a decision criterion that informs the investor whether or not to delay the investment. The effect of market and political uncertainty is studied for both the Clean Energy Act 2011 (CEA) and high carbon price (HCP) policy scenarios. The results of the modelling suggest that political uncertainty after the implementation of carbon pricing impedes the decision to switch to cleaner technologies. However, this effect can be mitigated by implementing higher expected carbon prices

  16. Initial investment to 3D printing technologies in a construction company

    OpenAIRE

    Cernohorsky, Zdenek; Matejka, Petr

    2017-01-01

    This article deals with an initial investment to 3D printing technologies in a construction company. The investment refers to the use of building information models and their integration with 3D printing technology within a construction company. In the first part, there will be discussed an introduction of 3D printing scheme in a construction company from a lifecycle perspective in general. As a part of this scheme, the ideal variant of an initial investment will be considered a.k.a a pilot p...

  17. Application of multi-criteria decision analysis in selecting of sustainable investments

    Science.gov (United States)

    Kozik, Renata

    2017-07-01

    Investors of construction projects, especially financed with public money, quite slowly adapt environmentally friendly solutions, e.g. passive buildings. Practice shows that the use of green public procurement among the public investors is negligible. Energy-saving technologies and equipment are expensive at the construction phase and investors less or not at all take into account the future operating costs. The aim of this article is to apply the method of multi-criteria analysis ELECTRE to select the best investment in terms of cost of implementation, operation, as well as the impact on the environment.

  18. Investing Wisely in Information Technology: Asking the Right Questions.

    Science.gov (United States)

    Breivik, Patricia Senn

    1993-01-01

    College administrators are offered a series of questions to ask in evaluating the appropriateness of information technology for their campuses. Issues addressed include defining institutional goals and the role of information technology in them, determining the most effective organization of information resources and technology, and allocation of…

  19. A boom in energy technology innovation despite decades of stagnant investment

    Energy Technology Data Exchange (ETDEWEB)

    Bettencourt, Luis M [Los Alamos National Laboratory; Trancik, Jessika A [SANTA FE INSTITUTE; Kaur, Jasleen [INDIANA UNIV

    2009-01-01

    Rates of patenting in energy technologies in the United States stagnated during a period of low federal investment in the sector from the mid-1980's through 2000. To analyze the current state of the field, we built a new comprehensive database of energy patents in the USA and worldwide aggregated by nation and technology. We show that innovation in energy technologies, as measured by numbers of new patents, has grown dramatically over the last decade both for renewable and fossil fuel-based technologies, but that traditional investment -government and private support for research and development (R&D) -has not risen commensurately. We also show that while venture capital investment in the sector has increased significantly in the last few years it lags the observed uptick in patenting. We find increasing patenting rates in nations worldwide but also differences in regional priorities, as well as a marked divergence in innovation rates across technologies. Renewable energy technologies - especially solar and wind - currently show the fastest rates of innovation, while patenting levels in nuclear fission have remained low despite relatively high levels of sustained investment. While this sharp increase of innovative activity bodes well for change in the energy sector, the future of emerging technologies may hinge on sustained investment in R&D and favorable incentives for market entry.

  20. Optimal value of a firm investing in exogeneous technology

    OpenAIRE

    Pólvora, Pedro Ribeiro Coelho Fouto

    2012-01-01

    Mestrado em Matemática Financeira Neste trabalho estudamos o valor ótimo para uma Firma cujo valor função depende de um nível de tecnologia exógeno. Em qualquer ponto no tempo a Firma pode investir numa nova tecnologia incorrendo num custo imediato e em retorno passará a utilizar essa nova tecnologia gerando lucros a partir de uma dada função. Estudamos o tempo de paragem ótimo que corresponde ao ponto no tempo em que a empresa investe para obter a valorização ótima. Usamos uma abordagem d...

  1. Technology transfers, foreign investment and productivity spillovers: evidence from Vietnam

    DEFF Research Database (Denmark)

    Newman, Carol; Rand, John; Talbot, Theodore Purdendu

    FDI through vertical linkages along the supply chain. Our results suggest that domestic firms experience more productivity spillovers through forward linkages from foreign-input suppliers to domestic input users than through backward linkages from foreign customers to domestic producers of inputs......This paper provides new evidence on the relationship between foreign direct investment (FDI) and the productivity of domestic firms. Using a specially designed survey on a sample of over 7,500 manufacturing firms in Vietnam we uncover some of the mechanisms that explain productivity spillovers from...

  2. Risk based economic optimization of investment decisions of regulated power distribution system operators; Risikobasierte wirtschaftliche Optimierung von Investitionsentscheidungen regulierter Stromnetzbetreiber

    Energy Technology Data Exchange (ETDEWEB)

    John, Oliver

    2012-07-01

    The author of the contribution under consideration reports on risk-based economic optimization of investment decisions of regulated power distribution system operators. The focus is the economically rational decision behavior of operators under certain regulatory requirements. Investments in power distribution systems form the items subject to decisions. Starting from a description of theoretical and practical regulatory approaches, their financial implications are quantified at first. On this basis, optimization strategies are derived with respect to the investment behavior. For this purpose, an optimization algorithm is developed and applied to exemplary companies. Finally, effects of uncertainties in regulatory systems are investigated. In this context, Monte Carlo simulations are used in conjunction with real options analysis.

  3. TAX RESEARCH Financial Accounting versus Tax Accounting - Tax Rules’ Impact on Investment Decisions

    Directory of Open Access Journals (Sweden)

    Dr.Sc. Skender Ahmeti

    2014-02-01

    Full Text Available This paper provides guidance for all those interested in research related to tax. In the study are included three main areas dealing with taxes and about taxes: (1 the role of information in corporation tax expenditures under the rules and laws of the country against financial statements according to international accounting standards, (2 case study PTK; how much effective tax and tax on extra profit has it paid (3 the impact of tax rules on investment decisions - the reasons and profits of the company and the host country. We will try to summarize here the three areas of study and come to some conclusions on how to deal with fiscal policy in Kosovo. In addition, we will offer our opinion on some interesting and important questions for future research.

  4. Decision-Oriented Health Technology Assessment: One Step Forward in Supporting the Decision-Making Process in Hospitals.

    Science.gov (United States)

    Ritrovato, Matteo; Faggiano, Francesco C; Tedesco, Giorgia; Derrico, Pietro

    2015-06-01

    This article outlines the Decision-Oriented Health Technology Assessment: a new implementation of the European network for Health Technology Assessment Core Model, integrating the multicriteria decision-making analysis by using the analytic hierarchy process to introduce a standardized methodological approach as a valued and shared tool to support health care decision making within a hospital. Following the Core Model as guidance (European network for Health Technology Assessment. HTA core model for medical and surgical interventions. Available from: http://www.eunethta.eu/outputs/hta-core-model-medical-and-surgical-interventions-10r. [Accessed May 27, 2014]), it is possible to apply the analytic hierarchy process to break down a problem into its constituent parts and identify priorities (i.e., assigning a weight to each part) in a hierarchical structure. Thus, it quantitatively compares the importance of multiple criteria in assessing health technologies and how the alternative technologies perform in satisfying these criteria. The verbal ratings are translated into a quantitative form by using the Saaty scale (Saaty TL. Decision making with the analytic hierarchy process. Int J Serv Sci 2008;1:83-98). An eigenvectors analysis is used for deriving the weights' systems (i.e., local and global weights' system) that reflect the importance assigned to the criteria and the priorities related to the performance of the alternative technologies. Compared with the Core Model, this methodological approach supplies a more timely as well as contextualized evidence for a specific technology, making it possible to obtain data that are more relevant and easier to interpret, and therefore more useful for decision makers to make investment choices with greater awareness. We reached the conclusion that although there may be scope for improvement, this implementation is a step forward toward the goal of building a "solid bridge" between the scientific evidence and the final decision

  5. Evaluation of Representative Smart Grid Investment Grant Project Technologies: Thermal Energy Storage

    Energy Technology Data Exchange (ETDEWEB)

    Tuffner, Francis K.; Bonebrake, Christopher A.

    2012-02-14

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of energy storage technologies deployed in the SGIG projects.

  6. Developing a Strategic Plan for NASA JSC's Technology Investments

    Science.gov (United States)

    Stecklein, Jonette M.

    2012-01-01

    Human space exploration has always been heavily influenced by goals to achieve a specific mission on a specific schedule. This approach drove rapid technology development, the rapidity of which adds risks as well as provides a major driver for costs. The National Aeronautics and Space Administration (NASA) is now approaching the extension of human presence throughout the solar system by balancing a proactive yet less schedule-driven development of technology with opportunistic scheduling of missions as the needed technologies are realized. This approach should provide cost effective, low risk technology development that will enable efficient and effective manned spaceflight missions. As a first step, the NASA Human Spaceflight Architecture Team (HAT) has identified a suite of critical technologies needed to support future manned missions across a range of destinations, including in cislunar space, near earth asteroid visits, lunar exploration, Mars space, and Mars exploration. The challenge now is to develop a strategy and plan for technology development that efficiently enables these missions over a reasonable time period, without increasing technology development costs unnecessarily due to schedule pressure, and subsequently mitigating development and mission risks. NASA fs Johnson Space Center (JSC), as the nation's primary center for human exploration, is addressing this challenge through an innovative approach allocating Internal Research and Development funding to projects that have been prioritized using four focus criteria, with appropriate importance weighting. These four focus criteria are the Human Space Flight Technology Needs, JSC Core Technology Competencies, Commercialization Potential, and Partnership Potential. The inherent coupling in these focus criteria have been captured in a database and have provided an initial prioritization for allocation of technology development research funding. This paper will describe this process and this database

  7. The effect of political cycles on power investment decisions: Expectations over the repeal and reinstatement of carbon policy mechanisms in Australia

    International Nuclear Information System (INIS)

    ShahNazari, Mahdi; McHugh, Adam; Maybee, Bryan; Whale, Jonathan

    2014-01-01

    Highlights: • Effect of political cycles quantified in power generation investments. • Expected repeal and reinstatement of carbon policy modelled dynamically. • A survey of experts informed the decision making model. • Expectations over reinstatement of policy dampens the effect of expected repeal. - Abstract: Political uncertainty over global greenhouse gas (GHG) mitigation policy is likely to defer investment in cleaner technologies. It may also incentivise short-lived, high-cost interim investments while businesses wait for the uncertainty to subside. The range of possible policy responses to the issue has created uncertainty over the future of national mitigation pathways. Given that the electricity sector, globally, is a major emitter of GHGs, this represents a systematic risk to investment in electricity generation assets. This paper uses a real options analysis framework informed by a survey of experts conducted in Australia – used as a proxy to model the degree of the uncertainty – to investigate the optimal timing for investment in the conversion of a coal plant to a combined cycle gas turbine plant using the American-style option valuation method. The effect of market and political uncertainty is studied for the Clean Energy Act 2011 in Australia. Political uncertainty is addressed bi-modally in terms of: (1) uncertainty over the repeal of the carbon pricing policy, and (2) if it is repealed, uncertainty over the reinstatement of the policy, to represent the effect of electoral cycles and the possibility of more stringent future global mitigation efforts. Results of the analysis show that although political uncertainty with respect to GHG mitigation policy may delay investment in the conversion of the coal plant, expectations over the reinstatement of the carbon pricing reduces the amount of option premium to defer the conversion decision

  8. Return on Knowledge Assets: Rethinking Investments in Educational Technology.

    Science.gov (United States)

    Watkins, Karen E.; Callahan, Mary Wilson

    1998-01-01

    Presents various ways of understanding knowledge and intellectual capital and the assets they produce. Considers implications of assessing the return on educational technologies as organizational knowledge assets. Presents a case study to illustrate how an educational technology application might help capture the benefits of knowledge capital.…

  9. Social rate of return to R&D on various energy technologies: Where should we invest more? A study of G7 countries

    International Nuclear Information System (INIS)

    Inglesi-Lotz, Roula

    2017-01-01

    The importance of investment in Research and Development (R&D) in the energy sector is indisputable especially considering the benefits of new technologies to sustainability, security and environmental protection. However, the nature and potential of various energy technologies that are capable of improving the energy and environmental conditions globally is a challenging task for governments and policy makers that have to make decisions on the allocation of funds in R&D. To do so, the optimal resource allocation to R&D should be determined by estimating the social rate of return for R&D investments. This paper aims to estimate the social rate of return of R&D on various energy applications and technologies such as energy efficiency, fossil fuels, renewable energy sources, and nuclear for the G7 countries. The results show that primarily R&D investment on Energy Efficiency technologies and Nuclear are the ones that yield high social benefits for all G7 countries while exactly the opposite holds for Fossil fuels. - Highlights: • Allocation of R&D funding in various energy technologies is a challenging task. • This can be done by estimating the social rate of return for R&D investments • We investigate various technologies’ social rate of return for the G7 countries. • R&D funding yields social benefits from energy efficiency and nuclear technologies. • R&D investment on fossil fuels has negative social rate of return.

  10. Initial investment to 3D printing technologies in a construction company

    Directory of Open Access Journals (Sweden)

    Cernohorsky, Zdenek

    2017-06-01

    Full Text Available This article deals with an initial investment to 3D printing technologies in a construction company. The investment refers to the use of building information models and their integration with 3D printing technology within a construction company. In the first part, there will be discussed an introduction of 3D printing scheme in a construction company from a lifecycle perspective in general. As a part of this scheme, the ideal variant of an initial investment will be considered a.k.a a pilot project. In the second part, there will be a more detailed discussion of the pilot project, more about each activities which should be its parts and which should analyze cost categories. These categories will be about particular lifecycle stages of the pilot project. In the third part, a summary is done. This article could be a handout for a construction company in a term of an initial investment to 3D printing.

  11. Promoting Sustainability through Investment in Building Information Modeling (BIM Technologies: A Design Company Perspective

    Directory of Open Access Journals (Sweden)

    Marius Reizgevičius

    2018-02-01

    Full Text Available The aim of this article is to enhance the understanding of how design companies perceive the benefits of Building Information Modeling (BIM technologies application. BIM is recognized in the literature as a (potentially powerful driver leading the construction sector towards sustainability. However, for design companies, the choice to invest in BIM technologies is basically an economic one. Specifically, a design company assesses economic benefits and efficiency improvements thanks to the application of BIM technologies. The article discusses the return on investments (ROI in BIM technologies and reviews ROI calculation methodologies proposed by other authors. In order to evaluate BIM return on investment correctly practical ROI calculations are carried out. Appropriate methods, together with the relevant variables for ROI calculation, are developed. The study allows for adjusting the calculation method making it more accurate and understandable using the Autodesk Revit based ROI calculation of the first year.

  12. Returns on investments in energy-saving technologies under energy price uncertainty in Dutch greenhouse horticulture

    NARCIS (Netherlands)

    Diederen, P.J.M.; Tongeren, van F.W.; Veen, van der H.B.

    2003-01-01

    Conventional net present value calculations evaluating the profitability of investments in energy-saving technologies in Dutch horticultural outlays predict a much higher rate of adoption of these technologies than is actually observed. This paper tries to explain this gap by applying a real options

  13. Semantic technologies in a decision support system

    Science.gov (United States)

    Wasielewska, K.; Ganzha, M.; Paprzycki, M.; Bǎdicǎ, C.; Ivanovic, M.; Lirkov, I.

    2015-10-01

    The aim of our work is to design a decision support system based on ontological representation of domain(s) and semantic technologies. Specifically, we consider the case when Grid / Cloud user describes his/her requirements regarding a "resource" as a class expression from an ontology, while the instances of (the same) ontology represent available resources. The goal is to help the user to find the best option with respect to his/her requirements, while remembering that user's knowledge may be "limited." In this context, we discuss multiple approaches based on semantic data processing, which involve different "forms" of user interaction with the system. Specifically, we consider: (a) ontological matchmaking based on SPARQL queries and class expression, (b) graph-based semantic closeness of instances representing user requirements (constructed from the class expression) and available resources, and (c) multicriterial analysis based on the AHP method, which utilizes expert domain knowledge (also ontologically represented).

  14. Intelligent decision technology support in practice

    CERN Document Server

    Neves-Silva, Rui; Jain, Lakhmi; Phillips-Wren, Gloria; Watada, Junzo; Howlett, Robert

    2016-01-01

    This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications.  Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative techniq...

  15. Producer firms, technology diffusion and spillovers to local suppliers : Examining the effects of Foreign Direct Investment and the technology gap

    NARCIS (Netherlands)

    Jordaan, J.A.

    2017-01-01

    In this paper, we conduct a detailed examination of the effects of Foreign Direct Investment (FDI) and the technology gap on local technology dissemination and spillovers. Using unique firm level data from surveys among FDI firms and domestic producer firms and a random sample of their suppliers in

  16. Market Power and Investment in Renewable Electricity Generation

    DEFF Research Database (Denmark)

    Ernstsen, Rune Ramsdal; Misir, Nihat

    while incurring lower investment costs. We additionally find that highly convex investment cost greatly diminishes the impact of market power on the investment decisions. Furthermore, for both the strategic firm and the social planner, fixed baseload generation is preferable during low installed...... approach to evaluate the investment decisions. In our paper we do not only focus on the differences in costs for different technologies but also on the differences in operation of those technologies and how those differences impact the optimal investment decisions. In our model, the one-time investment...... decision requires the determination of demand shock trigger level, choice of technology and level of optimal capacity. We specifically investigate how the investment triggers, optimal capacities and technology choices change with the changes to the investment cost function, demand uncertainty and the level...

  17. The investment decision and its financing in a changing institutional environment: the case of an electronuclear facility; La decision d'investissement et son financement dans un environnement institutionnel en mutation: le cas d'un equipement electronucleaire

    Energy Technology Data Exchange (ETDEWEB)

    Guillerminet, M.L

    2002-09-01

    This document analyzes the consequences of the questioning of the hypothesis of independence between the investment and financing decisions, on the investment choice of a nuclear power company in a European market progressively opening to competition. This company, which can get into debts on the financial market, is taxable and can go bankrupt. It is shown that its investment opportunity, totally irreversible in self-financing, can become partially reversible for inter-dependent investment and financing decisions. (J.S.)

  18. Communicating asset risk: how name recognition and the format of historic volatility information affect risk perception and investment decisions.

    Science.gov (United States)

    Weber, Elke U; Siebenmorgen, Niklas; Weber, Martin

    2005-06-01

    An experiment examined how the type and presentation format of information about investment options affected investors' expectations about asset risk, returns, and volatility and how these expectations related to asset choice. Respondents were provided with the names of 16 domestic and foreign investment options, with 10-year historical return information for these options, or with both. Historical returns were presented either as a bar graph of returns per year or as a continuous density distribution. Provision of asset names allowed for the investigation of the mechanisms underlying the home bias in investment choice and other asset familiarity effects. Respondents provided their expectations of future returns, volatility, and expected risk, and indicated the options they would choose to invest in. Expected returns closely resembled historical expected values. Risk and volatility perceptions both varied significantly as a function of the type and format of information, but in different ways. Expected returns and perceived risk, not predicted volatility, predicted portfolio decisions.

  19. Higher Education Technology and Research: Creating Excellence through State Investments

    Science.gov (United States)

    New Jersey Commission on Higher Education, 2004

    2004-01-01

    Colleges and universities in New Jersey play a critical role in building and sustaining economic prosperity and quality of life in the state and beyond. Through advancements in technology and research, higher education helps to create new jobs, improve the workforce, develop new knowledge, and boost the overall economy. This report summarizes…

  20. Department of Energy Recovery Act Investment in Biomass Technologies

    Energy Technology Data Exchange (ETDEWEB)

    None

    2010-11-01

    The American Recovery and Reinvestment Act of 2009 (Recovery Act) provided more than $36 billion to the Department of Energy (DOE) to accelerate work on existing projects, undertake new and transformative research, and deploy clean energy technologies across the nation. Of this funding, $1029 million is supporting innovative work to advance biomass research, development, demonstration, and deployment.

  1. Aerospace Technology Curriculum Guide. Invest in Success. Vo. Ed. #260.

    Science.gov (United States)

    Idaho State Dept. of Education, Boise. Div. of Vocational Education.

    This document contains standards for an articulated secondary and postsecondary curriculum in aerospace technology. The curriculum standards can be used to ensure that vocational programs meet the needs of local business and industry. The first part of the document contains a task list and student performance standards for the aerospace technology…

  2. Modeling the green building (GB) investment decisions of developers and end-users with transaction costs (TCs) considerations

    NARCIS (Netherlands)

    Qian, Q.K.; Chan, E.H.W.; Visscher, H.J.; Lehmann, S.

    2015-01-01

    The paper, through a “regenerative” lens, has focused upon a new conceptual game system involving transaction costs (TCs) for creating a more accessible green buildings (GB) market. Individual stakeholders steadfastly guard their own interests in any investment decision, which seldom considers any

  3. The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector

    NARCIS (Netherlands)

    Lambarraa, Fatima; Stefanou, Spiro; Gil, José M.

    2016-01-01

    This study addresses irreversible investment decision-making in the context of uncertainty when allowing for inefficiency to be transmitted over time. Both irreversibility and persistence in technical inefficiency can lead to sluggish adjustment of quasi-fixed factors of production. The context

  4. Carbon Capture and Storage Investment and Management in an Environment of Technological and Price Uncertainties

    Energy Technology Data Exchange (ETDEWEB)

    Geske, Joachim; Herold, Johannes [Forschungszentrum Juelich and TU Dresden (Germany)

    2009-07-01

    In this paper we use a real options approach to analyze investment in a CCS postcombustion technology. Uncertainties in the development of efficiency and certificate prices are taken into account. We therefore propose a bounded monotone stochastic process to model energy efficiency development which is in line with thermodynamic limitations. The option not to employ the technology is allowed for. Parameter values are selected carefully. Numerical analysis shows plausible qualitative features. Furthermore there exist investment barriers for each uncertain parameter alone which reduce if interaction of the independent processes is permitted.

  5. Investments in information systems and technology in the healthcare: Project management mediation

    Directory of Open Access Journals (Sweden)

    Jorge Gomes

    2017-03-01

    Full Text Available Healthcare organisations must improve their business practices and internal procedures in order to answer the increasing demand of health professionals and the general public for more and better information. Hospitals invest massively in information systems and technology (IS/IT in the hope that these investments will improve healthcare and meet patients’ demands. The main objective of our research is to study how organisational maturity, enhanced by investments in IS/IT, project management and best practices, leads to successful projects in public healthcare organisations. The rational of our model is that organisational maturity has a positive effect on IS/IT project success, and that this success is also positively enhanced by the use of project management practices. We emphasise that this combination of approaches can increase the effectiveness of projects. Furthermore, it can also improve the confidence that the results of investments will meet stakeholders’ expectations.

  6. When should irrigators invest in more water-efficient technologies as an adaptation to climate change?

    Science.gov (United States)

    Malek, K.; Adam, J. C.; Stockle, C.; Brady, M.; Yoder, J.

    2015-12-01

    The western US is expected to experience more frequent droughts with higher magnitudes and persistence due to the climate change, with potentially large impacts on agricultural productivity and the economy. Irrigated farmers have many options for minimizing drought impacts including changing crops, engaging in water markets, and switching irrigation technologies. Switching to more efficient irrigation technologies, which increase water availability in the crop root zone through reduction of irrigation losses, receives significant attention because of the promise of maintaining current production with less. However, more efficient irrigation systems are almost always more capital-intensive adaptation strategy particularly compared to changing crops or trading water. A farmer's decision to switch will depend on how much money they project to save from reducing drought damages. The objective of this study is to explore when (and under what climate change scenarios) it makes sense economically for farmers to invest in a new irrigation system. This study was performed over the Yakima River Basin (YRB) in Washington State, although the tools and information gained from this study are transferable to other watersheds in the western US. We used VIC-CropSyst, a large-scale grid-based modeling framework that simulates hydrological processes while mechanistically capturing crop water use, growth and development. The water flows simulated by VIC-CropSyst were used to run the RiverWare river system and water management model (YAK-RW), which simulates river processes and calculates regional water availability for agricultural use each day (i.e., the prorationing ratio). An automated computational platform has been developed and programed to perform the economic analysis for each grid cell, crop types and future climate projections separately, which allows us to explore whether or not implementing a new irrigation system is economically viable. Results of this study indicate that

  7. Enabling Telescopes of the Future: Long-Range Technology Investing

    Science.gov (United States)

    Thronson, Harley

    2004-01-01

    The Office of Space Science at NASA Headquarters has a current staff of about 60 professionals (aka, scientists, engineers, budget analysts) and an annual budget of $2.5 B out of NASA s $15.0 B. About 35 missions or programs in various stages of development or operation are managed by OSS, notable among them are Hubble Space Telescope, Mars Global Surveyor, Mars 2001 Odyssey, Chandra X-ray Observatory, TRACE (solar observatory), Cassini (mission to Saturn), Galileo (mission at Jupiter), and Next Generation Space Telescope. OSS has an annual technology budget of several hundred million dollars. So, what is it that we are doing?

  8. The impact of health technology assessment reports on decision making in Austria.

    Science.gov (United States)

    Zechmeister, Ingrid; Schumacher, Ines

    2012-01-01

    Health technology assessment (HTA) was established in Austria in the 1990s and, since then, it has gained considerable importance. In this study, we aim to analyze whether the HTA reports that have been produced at the Institute for Technology Assessment (ITA) and at the Ludwig Boltzmann Institute for HTA (LBI-HTA) have had an impact on decision making within the Austrian health care system. We selected all reports that were intended for supporting (i) reimbursement/investment or (ii) disinvestment decisions. Eleven full HTA reports and fifty-eight rapid assessments fulfilled the inclusion criteria. We used interview data and administrative data on volumes, tariffs and expenditure of products/services to analyze whether and how reports were in reality used in decision making and what the consequences for health care expenditure and resource distribution have been. Five full HTA reports and fifty-six rapid technology assessments were used for reimbursement decisions. Four full HTA reports and two rapid assessments were used for disinvestment decisions and resulted in reduced volumes and expenditure. Two full HTA reports showed no impact on decision making. Impact was most evident for hospital technologies. HTA has played some role in reducing volumes of over-supplied hospital technologies, resulting in reduced expenditure for several hospital providers. Additionally, it has been increasingly included in prospective planning and reimbursement decisions of late, indicating re-distribution of resources toward evidence-based technologies. However, further factors may have influenced the decisions, and the impact could be considerably increased by systematically incorporating HTA into the decision-making process in Austria.

  9. Investment inefficiency and the adoption of eco-innovations: The case of household energy efficiency technologies

    International Nuclear Information System (INIS)

    Diaz-Rainey, Ivan; Ashton, John K.

    2015-01-01

    This paper examines the factors determining household adoption of energy efficiency eco-innovations. We do so by testing hypotheses grounded in diffusion and finance theory and the literature on the barriers to energy efficiency. Using two large surveys of UK households, we explore the adoption of nine technologies. Our results indicate ‘investment inefficiency’ amongst household adopters occurs for two reasons. First, contrary to notions of rational choice, we find a negative relationship between the investment return of technologies and their level of diffusion. Second, we show adopters of these technologies display characteristics broadly consistent with diffusion theory, contradicting the prediction of finance theory that investment return, not individual characteristics, should drive adoption. We also find that policy has played a role in inducing the diffusion of these technologies and that tenure and spill-over effects are important in adoption. Finally, adoption is motivated more by a desire to save money than by environmental concern. We conclude by giving examples of how our research can lead to better policy timing and targeting. -- Highlights: •We explore the factors driving household adoption of energy efficiency technologies. •We employ two high quality nationally representative cross sectional surveys. •There is a negative relationship between investment return and level of diffusion. •Adopters display characteristics broadly consistent with diffusion theory. •Policy interventions, tenure effects and spill-over effects also influence adoption

  10. Incentives of carbon dioxide regulation for investment in low-carbon electricity technologies in Texas

    International Nuclear Information System (INIS)

    Castillo, Anya; Linn, Joshua

    2011-01-01

    This paper compares the incentives a carbon dioxide emissions price creates for investment in low carbon dioxide-emitting technologies in the electricity sector. We consider the extent to which operational differences across generation technologies - particularly, nuclear, wind and solar photovoltaic - create differences in the incentives for new investment, which is measured by the operating profits of a potential entrant. First, astylized model of an electricity system demonstrates that the composition of the existing generation system may cause electricity prices to increase by different amounts over time when a carbon dioxide price is imposed. Differences in operation across technologies therefore translate to differences in the operating profits of a potential entrant. Then, a detailed simulation model is used to consider a hypothetical carbon dioxide price of $10-$50 per metric ton for the Electric Reliability Council of Texas (ERCOT) market. The simulations show that, for the range of prices considered, the increase in electricity prices is positively correlated with output from a typical wind unit, but the correlation is much weaker for nuclear and photovoltaic. Consequently, a carbon dioxide price creates much stronger investment incentives for wind than for nuclear or photovoltaic technologies in the Texas market. - Highlights: → Compare incentives for new investment in low-emission electricity technologies created by carbon dioxide price. → Focus on ERCOT power system using stochastic unit commitment model. →Find a greater incentive for wind than solar or nuclear because of correlation between wind generation and increase in electricity prices.

  11. Heat savings and heat generation technologies: Modelling of residential investment behaviour with local health costs

    International Nuclear Information System (INIS)

    Zvingilaite, Erika; Klinge Jacobsen, Henrik

    2015-01-01

    The trade-off between investing in energy savings and investing in individual heating technologies with high investment and low variable costs in single family houses is modelled for a number of building and consumer categories in Denmark. For each group the private economic cost of providing heating comfort is minimised. The private solution may deviate from the socio-economical optimal solution and we suggest changes to policy to incentivise the individuals to make choices more in line with the socio-economic optimal mix of energy savings and technologies. The households can combine their primary heating source with secondary heating e.g. a woodstove. This choice results in increased indoor air pollution with fine particles causing health effects. We integrate health cost due to use of woodstoves into household optimisation of heating expenditures. The results show that due to a combination of low costs of primary fuel and low environmental performance of woodstoves today, included health costs lead to decreased use of secondary heating. Overall the interdependence of heat generation technology- and heat saving-choice is significant. The total optimal level of heat savings for private consumers decrease by 66% when all have the option to shift to the technology with lowest variable costs. - Highlights: • Heat saving investment and heat technology choice are interdependent. • Health damage costs should be included in private heating choice optimisation. • Flexibility in heating technology choice reduce the optimal level of saving investments. • Models of private and socioeconomic optimal heating produce different technology mix. • Rebound effects are moderate but varies greatly among consumer categories

  12. Measuring the strategic value of information technology investments

    International Nuclear Information System (INIS)

    Conrad, K.W.

    1994-08-01

    Value is often perceived differently by the proponents of new information technologies and those who allocate resources and define priorities. Such differences often become a roadblock to meeting true business needs. Project justifications regularly rely on calculated cost savings, which rarely measure the full benefit of new technologies. In fact, if cost savings provide a complete picture, then the organization is probably just automating routine clerical operations and has abandoned efforts that would provide significant strategic value. Strategic value is not limited to financial calculations, but includes quality, time and risk criteria. This paper describes approaches for measuring strategic value that can provide organizations with proven techniques to improve performance, reengineer processes, benchmark performance against other suppliers, identify outsourcing opportunities, or defend themselves from pressures to outsource. Many organizations respond to tightening budgets by cutting overhead. These measurement approaches can demonstrate how overhead is critical to organizational effectiveness and how cost savings can be found, instead, by measurably improving performance throughout the organization. Finally, the paper describes efforts underway within the Department of Energy and at the Hanford Site to implement the approaches described in this paper

  13. Measuring the strategic value of information technology investments

    Energy Technology Data Exchange (ETDEWEB)

    Conrad, K.W. [Boeing Computer Services Co., Richland, WA (United States)

    1994-08-01

    Value is often perceived differently by the proponents of new information technologies and those who allocate resources and define priorities. Such differences often become a roadblock to meeting true business needs. Project justifications regularly rely on calculated cost savings, which rarely measure the full benefit of new technologies. In fact, if cost savings provide a complete picture, then the organization is probably just automating routine clerical operations and has abandoned efforts that would provide significant strategic value. Strategic value is not limited to financial calculations, but includes quality, time and risk criteria. This paper describes approaches for measuring strategic value that can provide organizations with proven techniques to improve performance, reengineer processes, benchmark performance against other suppliers, identify outsourcing opportunities, or defend themselves from pressures to outsource. Many organizations respond to tightening budgets by cutting overhead. These measurement approaches can demonstrate how overhead is critical to organizational effectiveness and how cost savings can be found, instead, by measurably improving performance throughout the organization. Finally, the paper describes efforts underway within the Department of Energy and at the Hanford Site to implement the approaches described in this paper.

  14. Microfinance and the Decision to Invest in Children’s Education

    Directory of Open Access Journals (Sweden)

    PV Viswanath

    2018-02-01

    Full Text Available Although one of the primary objectives of microfinance has been the reduction of poverty through the provision of credit for income-generating purposes, evidence of its impact on poverty has been mixed. Even if there is no direct impact of microfinance, there may be an indirect positive impact through the effect of microcredit availability on families’ decisions to invest in their children’s education. In this paper, I describe a study undertaken to gauge the impact of microcredit availability on education expenditures for children of clients of a South Indian microfinance institution. I first look at some determinants of the demand for education and then go on to consider what we know about how microcredit affects this demand. I find that microcredit has an impact on the demand for education as mediated by wealth effects and status effects, i.e., microloans increase spending on education the greater the wealth and the greater the social status of the family. Focus group interviews suggest that the impact of microcredit on the demand for education comes mainly from the greater access to financial resources and, to a lesser degree, from an accompanying appreciation of the value of education.

  15. Antiherding in Financial Decision Increases Valuation of Return on Investment: An Event-Related Potential Study

    Directory of Open Access Journals (Sweden)

    Cuicui Wang

    2017-01-01

    Full Text Available Using event-related potentials, this study investigated how financial herding or antiherding affected the valuation of subsequent outcomes. For each trial, subjects decided whether to buy the stock according to its net money flow information which could be used to reflect the strength of buying power or selling power of the stock. The return on investment (ROI as feedback included the increase or decrease percentage after subjects’ responses. Results showed that, compared with herding, antiherding induced larger discrepancies of FRN and P300 amplitude between positive ROI and negative ROI, indicating that individuals under antiherding condition had stronger motivation and paid more attention in the evaluation process of ROI. Moreover, only for positive ROI, the amplitudes of FRN and P300 were modulated by two kinds of behaviors. We suggested that individuals making antiherd decisions were more confident with their own ability and choices, which reduced the positive outcome prediction error and gave more mental resources to evaluate positive outcome. However, negative outcomes evoked no different motivational meaning and negative emotion for individuals between herding and antiherding. The study may provide new insights into neurocognitive processes of herding and antiherding in financial market.

  16. Antiherding in Financial Decision Increases Valuation of Return on Investment: An Event-Related Potential Study.

    Science.gov (United States)

    Wang, Cuicui; Jin, Jia; Vieito, João Paulo; Ma, Qingguo

    2017-01-01

    Using event-related potentials, this study investigated how financial herding or antiherding affected the valuation of subsequent outcomes. For each trial, subjects decided whether to buy the stock according to its net money flow information which could be used to reflect the strength of buying power or selling power of the stock. The return on investment (ROI) as feedback included the increase or decrease percentage after subjects' responses. Results showed that, compared with herding, antiherding induced larger discrepancies of FRN and P300 amplitude between positive ROI and negative ROI, indicating that individuals under antiherding condition had stronger motivation and paid more attention in the evaluation process of ROI. Moreover, only for positive ROI, the amplitudes of FRN and P300 were modulated by two kinds of behaviors. We suggested that individuals making antiherd decisions were more confident with their own ability and choices, which reduced the positive outcome prediction error and gave more mental resources to evaluate positive outcome. However, negative outcomes evoked no different motivational meaning and negative emotion for individuals between herding and antiherding. The study may provide new insights into neurocognitive processes of herding and antiherding in financial market.

  17. Information Technology Process Improvement Decision-Making: An Exploratory Study from the Perspective of Process Owners and Process Managers

    Science.gov (United States)

    Lamp, Sandra A.

    2012-01-01

    There is information available in the literature that discusses information technology (IT) governance and investment decision making from an executive-level perception, yet there is little information available that offers the perspective of process owners and process managers pertaining to their role in IT process improvement and investment…

  18. Essays on Visual Representation Technology and Decision Making in Teams

    Science.gov (United States)

    Peng, Chih-Hung

    2013-01-01

    Information technology has played several important roles in group decision making, such as communication support and decision support. Little is known about how information technology can be used to persuade members of a group to reach a consensus. In this dissertation, I aim to address the issues that are related to the role of visual…

  19. Correlationally Assessing the Relationship of Information Technology Investments in Electronic Medical Records to Business Value

    Science.gov (United States)

    Richardson, Daniel J.

    2009-01-01

    The lag in information exchange and assimilation adoption experienced by modern primary care physicians in the conduct of evidence based medicine may be affecting health care system productivity and patient quality of care. Further, interest in whether or not information technology (IT) investments show an increase in business value has increased…

  20. Foreign direct investment and technology spillovers in Mexico: 20 years of NAFTA

    OpenAIRE

    Armas, Enrique; Rodríguez, José Carlos

    2017-01-01

    This article analyses the development of technology capabilities in the manufacturing sector of Mexico during the last two decades. It has been argued that the inclusion of Mexico in the North America Free Trade Agreement (NAFTA) in 1994 would be enough to catch up with Canada and the United States. In this regard, trade liberalisation and foreign direct investment (FDI) would have been two strategic tools to close the technology gap between Mexico and its commercial partners in North America...

  1. The Baetylus Theorem?the central disconnect driving consumer behavior and investment returns in Wearable Technologies

    OpenAIRE

    Levine, James A.

    2016-01-01

    The Wearable Technology market may increase fivefold by the end of the decade. There is almost no academic investigation as to what drives the investment hypothesis in wearable technologies. This paper seeks to examine this issue from an evidence-based perspective. There is a fundamental disconnect in how consumers view wearable sensors and how companies market them; this is called The Baetylus Theorem where people believe (falsely) that by buying a wearable sensor they will receive health be...

  2. A game-theoretical approach for reciprocal security-related prevention investment decisions

    International Nuclear Information System (INIS)

    Reniers, Genserik; Soudan, Karel

    2010-01-01

    Every company situated within a chemical cluster faces important security risks from neighbouring companies. Investing in reciprocal security preventive measures is therefore necessary to avoid major accidents. These investments do not, however, provide a direct return on investment for the investor-company and thus plants are hesitative to invest. Moreover, there is likelihood that even if a company has fully invested in reciprocal security prevention, its neighbour has not, and as a result the company can experience a major accident caused by an initial (minor or major) accident that occurred in an adjacent chemical enterprise. In this article we employ a game-theoretic approach to interpret and model behaviour of two neighbouring chemical plants while negotiating and deciding on reciprocal security prevention investments.

  3. Evaluating community investments in the mining sector using multi-criteria decision analysis to integrate SIA with business planning

    International Nuclear Information System (INIS)

    Esteves, A.M.

    2008-01-01

    Gaining senior management's commitment to long-term social development projects, which are characterised by uncertainty and complexity, is made easier if projects are shown to benefit the site's strategic goals. However, even though the business case for community investment may have been accepted at a general level, as a strategy for competitive differentiation, risk mitigation and a desire to deliver - and to be seen to deliver - a 'net benefit' to affected communities, mining operations are still faced with implementation challenges. Case study research on mining companies, including interviews with social investment decision-makers, has assisted in developing the Social Investment Decision Analysis Tool (SIDAT), a decision model for evaluating social projects in order to create value for both the company and the community. Multi-criteria decision analysis techniques integrating business planning processes with social impact assessment have proved useful in assisting mining companies think beyond the traditional drivers (i.e. seeking access to required lands and peaceful relations with neighbours), to broader issues of how they can meet their business goals and contribute to sustainable development in the regions in which they operate

  4. Policy Uncertainty, Investment and Commitment Periods

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    Today's investment decisions in key sectors such as energy, forestry or transport have significant impacts on the levels of greenhouse gas (GHG) emissions over the coming decades. Given the economic and environmental long-term implications of capital investment and retirement, a climate mitigation regime should aim to encourage capital investment in climate-friendly technologies. Many factors affect technology choice and the timing of investment, including investor expectations about future prices and policies. Recent international discussions have focused on the importance of providing more certainty about future climate policy stringency. The design of commitment periods can play a role in creating this environment. This paper assesses how the length of commitment periods influences policy uncertainty and investment decisions. In particular, the paper analyses the relationship between commitment period length and near term investment decisions in climate friendly technology.

  5. Which Firms Follow the Market? An Analysis of Corporate Investment Decisions

    OpenAIRE

    Tor-Erik Bakke; Toni M. Whited

    2010-01-01

    We test whether stock market mispricing or private investor information in stock prices affects corporate investment. We develop an econometric methodology that disentangles stock-price movements that are relevant for investment from those that are not. We combine this decomposition with proxies for private information and mispricing to devise unbiased tests for the effects of mispricing and information on investment. We depart from much of the literature by finding that stock market misprici...

  6. Decision Analysis System for Selection of Appropriate Decontamination Technologies

    International Nuclear Information System (INIS)

    Ebadian, M.A.; Boudreaux, J.F.; Chinta, S.; Zanakis, S.H.

    1998-01-01

    The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites

  7. Our Children: Parental Decisions - How Much to Invest in Your Offspring

    Science.gov (United States)

    Shenk, Mary K.

    Reproduction is the most fundamental of evolutionary behaviors, yet human parents face especially complex tradeoffs when deciding how many children to have and how much to invest in each of them. This chapter reviews parental investment theory, including both the key concepts and some important questions to which they have been applied in humans. Written primarily from the perspective of human behavioral ecology, this chapter also discusses how evolutionary social scientists have approached cross-cultural variation in parenting behavior. The chapter begins with an overview of life history theory and the concept of reproductive tradeoffs, focusing especially on the tradeoffs between current vs. future reproduction and quantity vs. quality of offspring. Discussing the critical question of who invests in offspring, I next compare motivations for investment between mothers and fathers, and explore the roles of many types of kin in investment, while considering whether humans can be viewed as cooperative breeders. I then explore the role of parent-offspring conflict and sibling conflict in parental investment and inheritance systems, followed by an exploration of sex biases in investment, including the Trivers-Willard effect local resource competition, and local resource enhancement. In conclusion, I argue that parental investment has been one of the most active areas of enquiry among evolutionary researchers over the last twenty years, and is likely to remain one of the mainstays of the field during the coming decades.

  8. A conceptual decision model for investment project appraisal and selection procedure

    NARCIS (Netherlands)

    Vajarothai, Pintip; Al-Jibouri, Saad H.S.; Halman, Johannes I.M.

    2015-01-01

    Organisations in public or private sector invest in projects to meet strategic objectives; to solve a problem, respond to specific needs or to realize investment opportunities. Governments, particularly in developing countries, face increasing demands of society for more and better services.

  9. Understanding the impact of business cases on IT investment decisions : An analysis of municipal e-government projects

    NARCIS (Netherlands)

    Berghout, Egon; Tan, Chee-Wee

    This study synthesizes the extant literature to derive an integrative developmental framework for IT business cases that can be applied to diagnose the feasibility of technological investments. We then construct a theoretical model that postulates the impact of IT business case elements on the

  10. Understanding the impact of business cases on IT investment decisions : An analysis of municipal e-government projects

    NARCIS (Netherlands)

    Berghout, Egon; Tan, Chee-Wee

    2013-01-01

    This study synthesizes the extant literature to derive an integrative developmental framework for IT business cases that can be applied to diagnose the feasibility of technological investments. We then construct a theoretical model that postulates the impact of IT business case elements on the

  11. How are investment decisions in the steam coal market affected by demand uncertainty and buyer-side market power?

    Energy Technology Data Exchange (ETDEWEB)

    Paulus, Moritz

    2012-02-15

    During the last decade, China has evolved into the largest consumer by far and one of the largest importers of coal. The main driver for the increase in coal demand in China has been economic growth. Future Chinese growth rates, and therefore coal consumption and coal imports, are highly uncertain, which may affect profitability of new investments of international mining companies. Furthermore, China has actively employed an array of instruments to control coal trade flows in the last years. In this paper, we analyse the potential impact of increased Chinese coal import volatility and of potential exertion of Chinese market power on global mining investment decisions. For this purpose, we develop a multi-stage stochastic equilibrium model which is able to simulate investments under uncertainty and a monopolistic player in addition to a competitive fringe. We find that accounting for Chinese demand uncertainty yields significant costs for investors and also leads to a delay in investments. Additionally, the exertion of Chinese market power further reduces overall investment activity.

  12. How are investment decisions in the steam coal market affected by demand uncertainty and buyer-side market power?

    International Nuclear Information System (INIS)

    Paulus, Moritz

    2012-01-01

    During the last decade, China has evolved into the largest consumer by far and one of the largest importers of coal. The main driver for the increase in coal demand in China has been economic growth. Future Chinese growth rates, and therefore coal consumption and coal imports, are highly uncertain, which may affect profitability of new investments of international mining companies. Furthermore, China has actively employed an array of instruments to control coal trade flows in the last years. In this paper, we analyse the potential impact of increased Chinese coal import volatility and of potential exertion of Chinese market power on global mining investment decisions. For this purpose, we develop a multi-stage stochastic equilibrium model which is able to simulate investments under uncertainty and a monopolistic player in addition to a competitive fringe. We find that accounting for Chinese demand uncertainty yields significant costs for investors and also leads to a delay in investments. Additionally, the exertion of Chinese market power further reduces overall investment activity.

  13. Off-shore enhanced oil recovery in the North Sea: The impact of price uncertainty on the investment decisions

    International Nuclear Information System (INIS)

    Compernolle, T.; Welkenhuysen, K.; Huisman, K.; Piessens, K.; Kort, P.

    2017-01-01

    Although CO_2 Capture and Storage (CCS) is considered a key solution for CO_2 emission mitigation, it is currently not economically feasible. CO_2 enhanced oil recovery can play a significant role in stimulating CCS deployment because CO_2 is used to extract additional quantities of oil. This study analyzes the investment decision of both a carbon emitting source and an oil company separately by adopting a real options approach. It is shown that when uncertainty is integrated in the economic analysis, CO_2 and oil price threshold levels at which investments in CO_2 capture and enhanced oil recovery will take place, are higher than when a net present value approach is adopted. We also demonstrate that a tax on CO_2 instead of an emission trading system results in a lower investment threshold level for the investment in the CO_2 capture unit. Furthermore, we determine a minimum CO_2 selling price between the two firms and show that CO_2-EOR has the potential to pull CCS into the market by providing an additional revenue on the capture plant. However, when CO_2 permit prices are above an identifiable level, the EU ETS does not necessarily result in the adoption of CCS and stimulates oil production. - Highlights: • Real options theory is applied to study how uncertainty affects CO2EOR investments. • Compared to an NPV approach, investment threshold levels are higher. • A tax on CO2 would result in lower investment threshold levels compared to EUETS. • A minimum CO2 selling price is determined • The CO2 needed for enhanced oil recovery is not necessarily a cost.

  14. Ethical analysis to improve decision-making on health technologies

    DEFF Research Database (Denmark)

    Saarni, Samuli I; Hofmann, Bjørn; Lampe, Kristian

    2008-01-01

    Health technology assessment (HTA) is the multidisciplinary study of the implications of the development, diffusion and use of health technologies. It supports health-policy decisions by providing a joint knowledge base for decision-makers. To increase its policy relevance, HTA tries to extend...... beyond effectiveness and costs to also considering the social, organizational and ethical implications of technologies. However, a commonly accepted method for analysing the ethical aspects of health technologies is lacking. This paper describes a model for ethical analysis of health technology...... to only analyse the ethical consequences of a technology, but also the ethical issues of the whole HTA process must be considered. Selection of assessment topics, methods and outcomes is essentially a value-laden decision. Health technologies may challenge moral or cultural values and beliefs...

  15. The Impact Of The Foreign Direct Investment On Romania’s Economy

    OpenAIRE

    Mihaela Ioneci; Georgiana Mîndreci

    2010-01-01

    Foreign direct investment can be regarded as a factor out of the crisis of the Romanian economy. The relationship between the foreign direct investment and the gross domestic product is beneficial for the economy to the extent to which investment is directed towards innovation and new technologies. The virtuous circle diversity - change - technology needs investment to take effect. Microeconomic level investment completes the strategies and the investment decisions at macroeconomic level.

  16. ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

    Science.gov (United States)

    Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

    2017-01-01

    Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

  17. Evaluation of Representative Smart Grid Investment Grant Project Technologies: Distributed Generation

    Energy Technology Data Exchange (ETDEWEB)

    Singh, Ruchi; Vyakaranam, Bharat GNVSR

    2012-02-14

    This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of addition of renewable resources- solar and wind in the distribution system as deployed in the SGIG projects.

  18. Decision and coordination of low-carbon supply chain considering technological spillover and environmental awareness.

    Science.gov (United States)

    Xu, Lang; Wang, Chuanxu; Li, Hui

    2017-06-08

    We focus on the impacts of technological spillovers and environmental awareness in a two-echelon supply chain with one-single supplier and one-single manufacturer to reduce carbon emission. In this supply chain, carbon abatement investment becomes one of key factors of cutting costs and improving profits, which is reducing production costs in the components and products-the investment from players in supply chain. On the basis of optimality theory, the centralized and decentralized models are respectively established to investigate the optimal decisions and profits. Further, setting the players' profits of the decentralized scenario as the disagreement points, we propose a bargaining-coordination contract through revenue-cost sharing to enhance the performance. Finally, by theoretical comparison and numerical analysis, the results show that: (i) The optimal profits of players and supply chain improve as technological spillovers and environmental awareness increase, and the profits of them in the bargaining-coordination contract are higher than that in the decentralized scenario; (ii) Technological spillovers between the players amplify the impact of "free-ride" behavior, in which the supplier always incentives the manufacturer to improve carbon emission intensity, but the cooperation will achieves and the profits will improve only when technological spillovers and environmental awareness are great; (iii) The contract can effectively achieve coordinated supply chain, and improve carbon abatement investment.

  19. The decision concerning the nuclear investment: influence of the industrial structure; La decision d'investissement nucleaire: l'influence de la structure industrielle

    Energy Technology Data Exchange (ETDEWEB)

    Guillerminet, M.L

    2000-10-01

    This report aims to analyze the investment behavior of an enterprise producing nuclear origin electric power in an european market opening to the competition. In this context, the industrial structure controlled by the governor decides the investment in a marginal equipment: either an integrated monopole structure which leads to a regulation at the cost price rate of return; or a pool structure in which the governor intervene to fix the cost price at the marginal cost level given by the main technology of the gas combined cycles. (A.L.B.)

  20. Spent Nuclear Fuel Alternative Technology Decision Analysis

    International Nuclear Information System (INIS)

    Shedrow, C.B.

    1999-01-01

    The Westinghouse Savannah River Company (WSRC) made a FY98 commitment to the Department of Energy (DOE) to recommend a technology for the disposal of aluminum-based spent nuclear fuel (SNF) at the Savannah River Site (SRS). The two technologies being considered, direct co-disposal and melt and dilute, had been previously selected from a group of eleven potential SNF management technologies by the Research Reactor Spent Nuclear Fuel Task Team chartered by the DOE''s Office of Spent Fuel Management. To meet this commitment, WSRC organized the SNF Alternative Technology Program to further develop the direct co-disposal and melt and dilute technologies and ultimately provide a WSRC recommendation to DOE on a preferred SNF alternative management technology

  1. Spent Nuclear Fuel Alternative Technology Decision Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Shedrow, C.B.

    1999-11-29

    The Westinghouse Savannah River Company (WSRC) made a FY98 commitment to the Department of Energy (DOE) to recommend a technology for the disposal of aluminum-based spent nuclear fuel (SNF) at the Savannah River Site (SRS). The two technologies being considered, direct co-disposal and melt and dilute, had been previously selected from a group of eleven potential SNF management technologies by the Research Reactor Spent Nuclear Fuel Task Team chartered by the DOE''s Office of Spent Fuel Management. To meet this commitment, WSRC organized the SNF Alternative Technology Program to further develop the direct co-disposal and melt and dilute technologies and ultimately provide a WSRC recommendation to DOE on a preferred SNF alternative management technology.

  2. [Decision modeling for economic evaluation of health technologies].

    Science.gov (United States)

    de Soárez, Patrícia Coelho; Soares, Marta Oliveira; Novaes, Hillegonda Maria Dutilh

    2014-10-01

    Most economic evaluations that participate in decision-making processes for incorporation and financing of technologies of health systems use decision models to assess the costs and benefits of the compared strategies. Despite the large number of economic evaluations conducted in Brazil, there is a pressing need to conduct an in-depth methodological study of the types of decision models and their applicability in our setting. The objective of this literature review is to contribute to the knowledge and use of decision models in the national context of economic evaluations of health technologies. This article presents general definitions about models and concerns with their use; it describes the main models: decision trees, Markov chains, micro-simulation, simulation of discrete and dynamic events; it discusses the elements involved in the choice of model; and exemplifies the models addressed in national economic evaluation studies of diagnostic and therapeutic preventive technologies and health programs.

  3. Parental investment decisions in response to ambient nest-predation risk versus actual predation on the prior nest

    Science.gov (United States)

    Chalfoun, A.D.; Martin, T.E.

    2010-01-01

    Theory predicts that parents should invest less in dependent offspring with lower reproductive value, such as those with a high risk of predation. Moreover, high predation risk can favor reduced parental activity when such activity attracts nest predators. Yet, the ability of parents to assess ambient nest-predation risk and respond adaptively remains unclear, especially where nest-predator assemblages are diverse and potentially difficult to assess. We tested whether variation in parental investment by a multi-brooded songbird (Brewer's Sparrow, Spizella breweri) in an environment (sagebrush steppe) with diverse predators was predicted by ambient nest-predation risk or direct experience with nest predation. Variation among eight sites in ambient nest-predation risk, assayed by daily probabilities of nest predation, was largely uncorrelated across four years. In this system risk may therefore be unpredictable, and aspects of parental investment (clutch size, egg mass, incubation rhythms, nestling-feeding rates) were not related to ambient risk. Moreover, investment at first nests that were successful did not differ from that at nests that were depredated, suggesting parents could not assess and respond to territorylevel nest-predation risk. However, parents whose nests were depredated reduced clutch sizes and activity at nests attempted later in the season by increasing the length of incubation shifts (on-bouts) and recesses (off-bouts) and decreasing trips to feed nestlings. In this unpredictable environment parent birds may therefore lack sufficient cues of ambient risk on which to base their investment decisions and instead rely on direct experience with nest predation to inform at least some of their decisions. ?? 2010 The Cooper Ornithological Society.

  4. Investment decisions in the South African saddle horse industry / Johannes Hendrik Dreyer

    OpenAIRE

    Dreyer, Johannes Hendrik

    2014-01-01

    This study originated in the phenomenon that has been observed in the South African Saddle Horse Industry of substantial investments being made over time in the absence of obvious financial or economic reward. A literature study confirmed that, internationally, investment without obvious financial and economic rewards is not unknown and at the same time it was obvious that it is a rarely studied subject. From the literature study it was also evident that this phenomenon occurs ...

  5. Predictors of Grandparental Investment Decisions in Contemporary Europe: Biological Relatedness and Beyond

    Science.gov (United States)

    Coall, David A.; Hilbrand, Sonja; Hertwig, Ralph

    2014-01-01

    Across human cultures, grandparents make a valued contribution to the health of their families and communities. Moreover, evidence is gathering that grandparents have a positive impact on the development of grandchildren in contemporary industrialized societies. A broad range of factors that influence the likelihood grandparents will invest in their grandchildren has been explored by disciplines as diverse as sociology, economics, psychology and evolutionary biology. To progress toward an encompassing framework, this study will include biological relatedness between grandparents and grandchildren, a factor central to some discipline's theoretical frameworks (e.g., evolutionary biology), next to a wide range of other factors in an analysis of grandparental investment in contemporary Europe. This study draws on data collected in the Survey of Health, Ageing and Retirement in Europe from 11 European countries that included 22,967 grandparent–child dyads. Grandparents reported biological relatedness, and grandparental investment was measured as the frequency of informal childcare. Biological and non-biological grandparents differed significantly in a variety of individual, familial and area-level characteristics. Furthermore, many other economic, sociological, and psychological factors also influenced grandparental investment. When they were controlled, biological grandparents, relative to non-biological grandparents, were more likely to invest heavily, looking after their grandchildren almost daily or weekly. Paradoxically, however, they were also more likely to invest nothing at all. We discuss the methodological and theoretical implications of these findings across disciplines. PMID:24416193

  6. Predictors of grandparental investment decisions in contemporary Europe: biological relatedness and beyond.

    Science.gov (United States)

    Coall, David A; Hilbrand, Sonja; Hertwig, Ralph

    2014-01-01

    Across human cultures, grandparents make a valued contribution to the health of their families and communities. Moreover, evidence is gathering that grandparents have a positive impact on the development of grandchildren in contemporary industrialized societies. A broad range of factors that influence the likelihood grandparents will invest in their grandchildren has been explored by disciplines as diverse as sociology, economics, psychology and evolutionary biology. To progress toward an encompassing framework, this study will include biological relatedness between grandparents and grandchildren, a factor central to some discipline's theoretical frameworks (e.g., evolutionary biology), next to a wide range of other factors in an analysis of grandparental investment in contemporary Europe. This study draws on data collected in the Survey of Health, Ageing and Retirement in Europe from 11 European countries that included 22,967 grandparent-child dyads. Grandparents reported biological relatedness, and grandparental investment was measured as the frequency of informal childcare. Biological and non-biological grandparents differed significantly in a variety of individual, familial and area-level characteristics. Furthermore, many other economic, sociological, and psychological factors also influenced grandparental investment. When they were controlled, biological grandparents, relative to non-biological grandparents, were more likely to invest heavily, looking after their grandchildren almost daily or weekly. Paradoxically, however, they were also more likely to invest nothing at all. We discuss the methodological and theoretical implications of these findings across disciplines.

  7. Evaluating the impact of investments in information technology on structural inertia in health organizations.

    Science.gov (United States)

    Bewley, Lee W

    2010-01-01

    Structural inertia is the overall capacity of an organization to adapt within a market environment. This paper reviews the impact of healthcare investments in information management/information technology (IM/IT) on the strategic management concept of structural inertia. Research indicates that healthcare executives should consider the relative state of structural inertia for their firms and match them with potential IM/IT solutions. Additionally, organizations should favorably consider IM/IT solutions that are comparatively less complex.

  8. Decision Support System for Condition Monitoring Technologies

    NARCIS (Netherlands)

    Mouatamir, Abderrahim

    2018-01-01

    The technological feasibility of a condition-based maintenance (CBM) policy is intrinsically related to the suitable selection of condition monitoring (CM) technologies such as vibration- and oil analysis or other non-destructive testing (NDT) techniques such as radiographic- and magnetic particle

  9. Decision technologies as normative instruments: exposing the values within.

    NARCIS (Netherlands)

    Boivin, A.; Legare, F.; Lehoux, P.

    2008-01-01

    OBJECTIVE: Describe some of the implicit normative and value judgments made in decision technologies development and use. METHODS: Using conceptual analysis of published models, we first outline some of the background assumptions of the knowledge translation/evidence-based medicine view of decision

  10. Lending Officers' Decisions to Recommend Innovative Agricultural Technology.

    Science.gov (United States)

    McIntosh, Wm. Alex; Zey-Ferrell, Mary

    1986-01-01

    Path analysis examines an analytical model of decision making by lending officers of 211 Texas banks when recommending agricultural technology to farmer-clients. Model analyzes effects of loan officers' ascribed/achieved personal characteristics and perceptions of organizational constraints during three stages of decision process: using…

  11. Investment appraisal of automatic milking and conventional milking technologies in a pasture-based dairy system.

    Science.gov (United States)

    Shortall, J; Shalloo, L; Foley, C; Sleator, R D; O'Brien, B

    2016-09-01

    The successful integration of automatic milking (AM) systems and grazing has resulted in AM becoming a feasible alternative to conventional milking (CM) in pasture-based systems. The objective of this study was to identify the profitability of AM in a pasture-based system, relative to CM herringbone parlors with 2 different levels of automation, across 2 farm sizes, over a 10-yr period following initial investment. The scenarios which were evaluated were (1) a medium farm milking 70 cows twice daily, with 1 AM unit, a 12-unit CM medium-specification (MS) parlor and a 12-unit CM high-specification (HS) parlor, and (2) a large farm milking 140 cows twice daily with 2 AM units, a 20-unit CM MS parlor and a 20-unit CM HS parlor. A stochastic whole-farm budgetary simulation model combined capital investment costs and annual labor and maintenance costs for each investment scenario, with each scenario evaluated using multiple financial metrics, such as annual net profit, annual net cash flow, total discounted net profitability, total discounted net cash flow, and return on investment. The capital required for each investment was financed from borrowings at an interest rate of 5% and repaid over 10-yr, whereas milking equipment and building infrastructure were depreciated over 10 and 20 yr, respectively. A supporting labor audit (conducted on both AM and CM farms) showed a 36% reduction in labor demand associated with AM. However, despite this reduction in labor, MS CM technologies consistently achieved greater profitability, irrespective of farm size. The AM system achieved intermediate profitability at medium farm size; it was 0.5% less profitable than HS technology at the large farm size. The difference in profitability was greatest in the years after the initial investment. This study indicated that although milking with AM was less profitable than MS technologies, it was competitive when compared with a CM parlor of similar technology. Copyright © 2016 American Dairy

  12. 8th KES International Conference on Intelligent Decision Technologies

    CERN Document Server

    Caballero, Alfonso; Howlett, Robert; Jain, Lakhmi

    2016-01-01

    The KES-IDT-2016 proceedings give an excellent insight into recent research, both theoretical and applied, in the field of intelligent decision making. The range of topics explored is wide, and covers methods of grouping, classification, prediction, decision support, modelling and many more in such areas as finance, linguistics, medicine, management and transportation. This proceedings contain several sections devoted to specific topics, such as: · Specialized Decision Techniques for Data Mining, Transportation and Project Management · Pattern Recognition for Decision Making Systems · New Advances of Soft Computing in Industrial and Management Engineering · Recent Advances in Fuzzy Systems · Intelligent Data Analysis and Applications · Reasoning-based Intelligent Systems · Intelligent Methods for Eye Movement Data Processing and Analysis · Intelligent Decision Technologies for Water Resources Management · Intelligent Decision Making for Uncertain Unstructured Big Data · Decision Making Theory for Ec...

  13. Model of decision for the management of technology and risk in a port community

    Directory of Open Access Journals (Sweden)

    Claudia Durán

    2018-10-01

    Full Text Available Strategic management in a port system is complex since the Port Community has to coordinate actions and generate synergy among all the private actors that integrate the export and import logistics chains, trade associations and trade unions. Based on the opinion of the port experts and the analytical network process (ANP, the research identifies the relevant criteria for strategic, business and operational decision-making in the Port Community, in the technological and risk contexts. With the criteria found and considering the strategic alignment that is required, management indicators are constructed. Based on a generic model, a new strategic conceptual model (PORTGD of ANP for decision management is designed for the Port Community, a cause and effect analysis is carried out and a sensitization study is performed on the nodes. The discussion of the results and conclusions highlights the importance of technological investment, control of port security and good practices for the port system investigated.

  14. Investment, regulation, and uncertainty

    Science.gov (United States)

    Smyth, Stuart J; McDonald, Jillian; Falck-Zepeda, Jose

    2014-01-01

    As with any technological innovation, time refines the technology, improving upon the original version of the innovative product. The initial GM crops had single traits for either herbicide tolerance or insect resistance. Current varieties have both of these traits stacked together and in many cases other abiotic and biotic traits have also been stacked. This innovation requires investment. While this is relatively straight forward, certain conditions need to exist such that investments can be facilitated. The principle requirement for investment is that regulatory frameworks render consistent and timely decisions. If the certainty of regulatory outcomes weakens, the potential for changes in investment patterns increases.   This article provides a summary background to the leading plant breeding technologies that are either currently being used to develop new crop varieties or are in the pipeline to be applied to plant breeding within the next few years. Challenges for existing regulatory systems are highlighted. Utilizing an option value approach from investment literature, an assessment of uncertainty regarding the regulatory approval for these varying techniques is undertaken. This research highlights which technology development options have the greatest degree of uncertainty and hence, which ones might be expected to see an investment decline. PMID:24499745

  15. Decision Gate Process for Assessment of a Technology Development Portfolio

    Science.gov (United States)

    Kohli, Rajiv; Fishman, Julianna; Hyatt, Mark

    2012-01-01

    The NASA Dust Management Project (DMP) was established to provide technologies (to TRL 6 development level) required to address adverse effects of lunar dust to humans and to exploration systems and equipment, which will reduce life cycle cost and risk, and will increase the probability of sustainable and successful lunar missions. The technology portfolio of DMP consisted of different categories of technologies whose final product is either a technology solution in itself, or one that contributes toward a dust mitigation strategy for a particular application. A Decision Gate Process (DGP) was developed to assess and validate the achievement and priority of the dust mitigation technologies as the technologies progress through the development cycle. The DGP was part of continuous technology assessment and was a critical element of DMP risk management. At the core of the process were technology-specific criteria developed to measure the success of each DMP technology in attaining the technology readiness levels assigned to each decision gate. The DGP accounts for both categories of technologies and qualifies the technology progression from technology development tasks to application areas. The process provided opportunities to validate performance, as well as to identify non-performance in time to adjust resources and direction. This paper describes the overall philosophy of the DGP and the methodology for implementation for DMP, and describes the method for defining the technology evaluation criteria. The process is illustrated by example of an application to a specific DMP technology.

  16. News and views: perspectives on graphene and other 2d materials research and technology investments

    International Nuclear Information System (INIS)

    Ribeiro-Soares, J.

    2014-01-01

    With the actual experimental realization of graphene samples, it became possible not only to exploit the special physical properties of graphene but also to exploit its technological applications. As the field developed, the discovery of other 2D materials occurred and this opened up access to a plethora of combinations of a large variety of electrical, optical, mechanical, and chemical properties. Now there are large investments being made around the world to develop the graphene research area and to boost graphene use in technology. Here, we discuss current research and some future prospects for this area of layered nanomaterials. (author)

  17. Applying Internet-based Technologies to Teaching Corporate Finance and Investments

    Directory of Open Access Journals (Sweden)

    Zhuoming “Joe” Peng, Ph.D.,

    2006-07-01

    Full Text Available Finance faculty are increasingly encouraged to use internet-based technologies in teaching. This paper examines students’ perceptions of finance faculty who use internet-based technologies and the impact on their learning experiences in undergraduate introductory corporate finance, investments, and MBA investments courses. The results suggest that offering all course materials online may enhance students’ learning experiences, however, the technologies may be best thought of as teaching tools. A better methodology for a finance course delivery may be that of in-classroom interactions between an instructor and the students while all the pertinent course materials are available online throughout the semester. There is a statistically significant difference between MBA (Master of Business Administration students and undergraduate business students in terms of their desire to use the internet for learning finance. Consistent with previous research, results indicate that it may not be common practice among faculty to use internet-based technologies, and that assistant professors tend to use technologies in teaching more often than their higher-ranked colleagues do.

  18. Investment and Decommissioning Decisions under Conditions of Uncertainty: An Application to the Electricity Sector

    International Nuclear Information System (INIS)

    Chaton, Corinne

    2001-01-01

    The purpose of this study is to use real options theory to answer the following question: Is it necessary, in France, to invest in new nuclear power units or should some of the existing units be decommissioned? The theoretical model developed establishes two price thresholds which determine investment or decommissioning rules for a regulated risk-neutral firm which does not know the future price of its input. It also provides an empirical reading of past choices in construction of French nuclear power plants. The main finding is that, on a certain number of theoretical and empirical assumptions, it is optimal at present is to leave French nuclear power capacity unchanged. Other more general findings follow from the theoretical model. Thus an increase in uncertainty facilitates investment, defers decommissioning and extends the range of input prices for which there is no change in capacity

  19. The Mediating Effect of Innovation on the Relationship between Information Technology Investments and Firm Performance: An Empirical Study

    Science.gov (United States)

    Karanja, Erastus

    2011-01-01

    The last couple of decades has witnessed a plethora of research studies addressing the cause-and-effect relationship between Information Technology (IT) investments and performance at the firm level. These studies elicited mixed results between IT investments and performance which led to various points of view from IT Scholars and Practitioners.…

  20. Knowledge Management Technology for Decision Support: an empirical examination

    Directory of Open Access Journals (Sweden)

    Meliha Handzic

    2001-11-01

    Full Text Available This paper reports the results of an empirical examination of the effectiveness of one type of knowledge management technology, namely 'contextual knowledge repository', for supporting individual decision makers in a predictive judgement task context. 31 volunteer subjects participated in the study. The results indicate that a given technology was fairly useful, but insufficient to maximally enhance individual decision making. On one hand, subjects were found to extract more knowledge and make significantly smaller decision errors than their notional naive counterparts. On the other hand, subjects tended to extract less knowledge and make significantly larger decision errors compared to notional optimal counterparts. These findings suggest that individuals could potentially benefit from those knowledge management technologies that would provide additional explicit analytical and procedural knowledge, or those that would facilitate sharing of tacit knowledge through interaction with others. Future research is necessary to address these issues.

  1. Assessment of major nuclear technologies with decision and risk analysis

    International Nuclear Information System (INIS)

    Winterfeldt, D. von

    1995-01-01

    Selecting technologies for major nuclear programs involves several complexities, including multiple stakeholders, multiple conflicting objectives, uncertainties, and risk. In addition, the programmatic risks related to the schedule, cost, and performance of these technologies often become major issues in the selection process. This paper describes a decision analysis approach for addressing these complexities in a logical manner

  2. Investing in deliberation: a definition and classification of decision support interventions for people facing difficult health decisions.

    Science.gov (United States)

    Elwyn, Glyn; Frosch, Dominick; Volandes, Angelo E; Edwards, Adrian; Montori, Victor M

    2010-01-01

    This article provides an analysis of 'decision aids', interventions to support patients facing tough decisions. Interest has increased since the concept of shared decision making has become widely considered to be a means of achieving desirable clinical outcomes. We consider the aims of these interventions and examine assumptions about their use. We propose three categories, interventions that are used in face-to-face encounters, those designed for use outside clinical encounters and those which are mediated, using telephone or other communication media. We propose the following definition: decision support interventions help people think about choices they face; they describe where and why choice exists; they provide information about options, including, where reasonable, the option of taking no action. These interventions help people to deliberate, independently or in collaboration with others, about options, by considering relevantattributes; they support people to forecast how they might feel about short, intermediate and long-term outcomes which have relevant consequences, in ways which help the process of constructing preferences and eventual decision making, appropriate to their individual situation. Although quality standards have been published for these interventions, we are also cautious about premature closure and consider that the need for short versions for use inside clinical encounters and long versions for external use requires further research. More work is also needed on the use of narrative formats and the translation of theory into practical designs. The interest in decision support interventions for patients heralds a transformation in clinical practice although many important areas remain unresolved.

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

    Science.gov (United States)

    Flaming, Susan C.

    2007-12-01

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

  4. Guidance for Technology Decisions from Classroom Observation

    Science.gov (United States)

    Bielefeldt, Talbot

    2012-01-01

    Correlational analysis of two years of classroom observation indicates relationships between technology use and various classroom characteristics, including teacher roles and instructional strategies. Three observers used the ISTE Classroom Observation Tool (ICOT) to record 144 observations of classrooms participating in a variety of educational…

  5. Investment Decisions and Depreciation Choices under a Discretionary Tax Depreciation Rule

    NARCIS (Netherlands)

    Wielhouwer, Jacco L.; Wiersma, E.

    2017-01-01

    Prior studies have shown limited impact of the US bonus depreciation rules on firm investments during economic downturns. In this article we study the effects of a set of more flexible rules – discretionary tax depreciation (DTD) – introduced in the Netherlands during the 2009–2011 economic crisis.

  6. The Impact of Assets-in-Place on Corporate Financing and Investment Decisions

    DEFF Research Database (Denmark)

    Clausen, Saskia; Flor, Christian Riis

    2015-01-01

    assets-in-place) mainly use debt financing, whereas young high-growth firms (without assets-in-place) frequently use equity financing and signal their type by early investment. Simulation analyses conrm this and our model is thus able to explain empirical patterns which contradict the static pecking...

  7. Evaluation of Performance of Investment Funds Based on Decision Models (DEA

    Directory of Open Access Journals (Sweden)

    Alireza Samet

    2016-12-01

    Full Text Available Selection of a suitable investment funds is very important from investors' point of view and may have a significant impact on the profit or loss of the funds. Therefore, evaluation of performance of investment funds to choose the most suitable fund will be given special emphasis. One of the new techniques for evaluating the performance of the Funds based on efficiency is the Data Envelopment Analysis technique. Accordingly, the present study is aimed to analyze and evaluate the performance of investment Funds in capital market of Iran, using the technique of efficiency evaluation through data envelopment analysis technique (DEA. This research is a descriptive - applicable study and to analyze the efficiency and effectiveness, 53 investment funds in the capital market of Iran in 2013 were considered as the sample. To analyze the efficiency of these funds, data envelopment analysis (DEA is used. Research findings showed that in 2013, of a total of 53 examined funds, 11 funds were in the efficiency situation and the other 42 funds were in a state of inefficiency. Also the reference funds and virtual composited funds of all inefficient funds were evaluated.

  8. The Decision-Making Process for Families Investing in Higher Education: A Family Systems Perspective

    Science.gov (United States)

    McHugh, Erin M.

    2017-01-01

    When families consider investing in their children's education they must weigh the perceived costs against the potential benefits, which becomes increasingly difficult as the cost of higher education continues to rise. Using a family systems approach, this phenomenological study explored the central research question, "How do families…

  9. Investing in biogas: Timing, technological choice and the value of flexibility from input mix

    International Nuclear Information System (INIS)

    Di Corato, Luca; Moretto, Michele

    2011-01-01

    In a stochastic dynamic frame, we study the technology choice problem of a continuous co-digestion biogas plant where input factors are substitutes but need to be mixed together to provide output. Given any initial rule for the composition of the feedstock, we consider the possibility of revising it if economic circumstances make it profitable. Flexibility in the mix is an advantage under randomly fluctuating input costs and comes at a higher investment cost. We show that the degree of flexibility in the productive technology installed depends on the value of the option to profitably re-arrange the input mix. Such option adds value to the project in that it provides a device for hedging against fluctuations in the input relative convenience. Accounting for such value we discuss the trade-off between investment timing and profit smoothing flexibility. - Research highlights: ► We study the technology choice problem of a continuous co-digestion biogas plant where input factors are substitutes but need to be mixed together to provide output. ► We show that the degree of flexibility in the productive technology installed depends on the value of the option to profitably re-arrange the input mix. ► Such option adds value to the project in that it provides a device for hedging against fluctuations in the input relative convenience.

  10. Investing in an coal power plant and CO2 constraints. What do risk decision-making models tell us?

    International Nuclear Information System (INIS)

    Taverdet-Popiolek, N.

    2010-01-01

    Face with the challenge of climate change, Europe implemented a CO 2 quota market in 2005, in order to encourage industries to reduce their emissions. The first operating phase of that market was not a constraint for them, as quotas were generously allocated and prices relatively low. However it looks as though the second phase (2013-2020, will be more of an incitement as the quota allocation will not be free and market prices will probably be higher. So, faced with the CO 2 price risk, is there any point in European electricity companies investing in coal plants that emit huge amounts of CO 2 , per kWh produced? Or is it preferable for them to wait, even though it would meat making no profit for four years, for the second phase of the quota market, in order to become more familiar with the rules? To provide answers to those questions, we have modelled both scenarios: investing immediately (irreversible decision) or waiting for 2013 (decision that implies the possibility of choosing in full knowledge of the facts). The models we chose are very simple (two periods only, with stable prices within them) and place the risk mainly in the price of CO 2 , for which two scenarios are considered in the second period: price of CO 2 , low high. They show that the expected price of CO 2 has a strong influence on the decision to invest and that industries take a stance based on their anticipation of that price and the likeliness of the scenarios. The profitability of the coal industry is weakened by the CO 2 price risk, unless the price of electricity follows that of carbon (which was not considered in the model) although the electricity price scenario is a relatively favourable one. (author)

  11. Strategic issues in information technology international implications for decision makers

    CERN Document Server

    Schütte, Hellmut

    1988-01-01

    Strategic Issues in Information Technology: International Implications for Decision Makers presents the significant development of information technology in the output of components, computers, and communication equipment and systems. This book discusses the integration of information technology into factories and offices to increase productivity.Organized into six parts encompassing 12 chapters, this book begins with an overview of the advancement towards an automated interpretation communication system to achieve real international communication. This text then examines the main determining

  12. Improving Energy Efficiency Through Technology. Trends, Investment Behaviour and Policy Design

    Energy Technology Data Exchange (ETDEWEB)

    Florax, R.J.G.M. [Purdue University, West Lafayette, IN (United States); De Groot, H.L.F. [VU University, Amsterdam (Netherlands); Mulder, P. [Tinbergen Institute, Amsterdam (Netherlands)] (eds.)

    2011-10-15

    This innovative book explores the adoption of energy-saving technologies and their impact on energy efficiency improvements. It contains a mix of theoretical and empirical contributions, and combines and compares economic and physical indicators to monitor and analyse trends in energy efficiency. The authors pay considerable attention to empirical research on the determinants of energy-saving investment including uncertainty, energy-price volatility and subsidies. They also discuss the role of energy modelling in policy design and the potential effect of energy policies on technology diffusion in energy-extensive sectors. Written from a multi-disciplinary perspective, this book will appeal to academics and graduates in the areas of energy-saving technologies, energy economics and natural resource economics, as well as policy makers - particularly those in energy policy.

  13. The Baetylus Theorem-the central disconnect driving consumer behavior and investment returns in Wearable Technologies.

    Science.gov (United States)

    Levine, James A

    2016-08-01

    The Wearable Technology market may increase fivefold by the end of the decade. There is almost no academic investigation as to what drives the investment hypothesis in wearable technologies. This paper seeks to examine this issue from an evidence-based perspective. There is a fundamental disconnect in how consumers view wearable sensors and how companies market them; this is called The Baetylus Theorem where people believe (falsely) that by buying a wearable sensor they will receive health benefit; data suggest that this is not the case. This idea is grounded social constructs, psychological theories and marketing approaches. A marketing proposal that fails to recognize The Baetylus Theorem and how it can be integrated into a business offering has not optimized its competitive advantage. More importantly, consumers should not falsely believe that purchasing a wearable technology, improves health.

  14. The Baetylus Theorem—the central disconnect driving consumer behavior and investment returns in Wearable Technologies

    Science.gov (United States)

    Levine, James A.

    2016-01-01

    The Wearable Technology market may increase fivefold by the end of the decade. There is almost no academic investigation as to what drives the investment hypothesis in wearable technologies. This paper seeks to examine this issue from an evidence-based perspective. There is a fundamental disconnect in how consumers view wearable sensors and how companies market them; this is called The Baetylus Theorem where people believe (falsely) that by buying a wearable sensor they will receive health benefit; data suggest that this is not the case. This idea is grounded social constructs, psychological theories and marketing approaches. A marketing proposal that fails to recognize The Baetylus Theorem and how it can be integrated into a business offering has not optimized its competitive advantage. More importantly, consumers should not falsely believe that purchasing a wearable technology, improves health. PMID:27617162

  15. Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

    Science.gov (United States)

    Landmesser, John Andrew

    2014-01-01

    Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

  16. Informing Early-Phase Technology Decisions in Paradigmatic Innovation

    DEFF Research Database (Denmark)

    Jensen, Ole Kjeldal; Ahmed-Kristensen, Saeema

    2010-01-01

    their knowledge-world in such a radical manner, they start facing problems with making efficient decisions as knowledge generated through experience is mainly useful when the future mimics the past, which is not the case for such radical changes. Therefore, a 3 year long research project within this industry has......The innovation activities of a company facing paradigmatic change with regard to both technology and business model includes taking many decisions, where the information available, as well as the decision makers’ ability to understand this information, is limited. Technology decisions in the very...... early phases of innovation have been explored in a Scandinavian energy-utilities company facing exactly these paradigmatic changes. In the company there are 5500 employees, with the major footprint in Denmark. The company has activities in the full energy value-chain including: production & trade of oil...

  17. An Investment Level Decision Method to Secure Long-term Reliability

    Science.gov (United States)

    Bamba, Satoshi; Yabe, Kuniaki; Seki, Tomomichi; Shibaya, Tetsuji

    The slowdown in power demand increase and facility replacement causes the aging and lower reliability in power facility. And the aging is followed by the rapid increase of repair and replacement when many facilities reach their lifetime in future. This paper describes a method to estimate the repair and replacement costs in future by applying the life-cycle cost model and renewal theory to the historical data. This paper also describes a method to decide the optimum investment plan, which replaces facilities in the order of cost-effectiveness by setting replacement priority formula, and the minimum investment level to keep the reliability. Estimation examples applied to substation facilities show that the reasonable and leveled future cash-out can keep the reliability by lowering the percentage of replacements caused by fatal failures.

  18. Loss Aversion: A Comparison of Investment Decision Making Between Individual Investors and Pension Funds in Brazil

    Directory of Open Access Journals (Sweden)

    William Eid Junior

    2009-08-01

    Full Text Available This article compares the application of a loss aversion utility function with a traditional Von Neumann-Morgenstern utility function aiming to test whether the first form of utility could better replicate the actual behavior of Brazilian investors concerning the choice of optimum investment portfolio. The results generated by both functions, in terms of stock market participation in the optimum investment portfolio, are compared with real aggregate data from two types of Brazilian investors (pension funds and individual investors. The analysis indicates that: i the traditional utility function should be rejected as an adequate model to replicate Brazilian individual investors behavior in the stock market; and ii Brazilian individual investors behavior are better replicated by a loss aversion utility function.

  19. The Role of Experiential Knowledge and Subsequent Investment Decisions on the Profitability of Japanese Companies in Brazil

    Directory of Open Access Journals (Sweden)

    Mário Henrique Ogasavara

    2010-01-01

    Full Text Available This study attempts to empirically investigate how firms’ experiential knowledge and the decision to invest sequentially in the host country are associated with the performance of their overseas subsidiaries. This research advances prior studies by adopting an objective performance measure based on the profitability ratio at the subsidiary level. Using a random-effect model of GLS regression applied to a panel data of Japanese firms established in Brazil, the results provide theoretical and practical implications showing that experientialknowledge is positively associated with subsidiary profitability. Local experiential knowledge can be acquiredby managing subsidiaries for a long time in the host country, but also by increasing the number of investments in the local market. In practical terms, the subsidiary profitability ratio becomes higher when the parent firms have established more than five investments in the host country, although further investigation is needed to examine the direction of this relationship. Moreover, there is a significant association between subsidiary performance and the parent firms’ experience in culturally similar markets to Brazil. The benefit of learning from international markets suggests that operating in countries with a similar culture transforms their experience into a competitive advantage.

  20. Electricity and combined heat and power from municipal solid waste; theoretically optimal investment decision time and emissions trading implications.

    Science.gov (United States)

    Tolis, Athanasios; Rentizelas, Athanasios; Aravossis, Konstantin; Tatsiopoulos, Ilias

    2010-11-01

    Waste management has become a great social concern for modern societies. Landfill emissions have been identified among the major contributors of global warming and climate changes with significant impact in national economies. The energy industry constitutes an additional greenhouse gas emitter, while at the same time it is characterized by significant costs and uncertain fuel prices. The above implications have triggered different policies and measures worldwide to address the management of municipal solid wastes on the one hand and the impacts from energy production on the other. Emerging methods of energy recovery from waste may address both concerns simultaneously. In this work a comparative study of co-generation investments based on municipal solid waste is presented, focusing on the evolution of their economical performance over time. A real-options algorithm has been adopted investigating different options of energy recovery from waste: incineration, gasification and landfill biogas exploitation. The financial contributors are identified and the impact of greenhouse gas trading is analysed in terms of financial yields, considering landfilling as the baseline scenario. The results indicate an advantage of combined heat and power over solely electricity production. Gasification, has failed in some European installations. Incineration on the other hand, proves to be more attractive than the competing alternatives, mainly due to its higher power production efficiency, lower investment costs and lower emission rates. Although these characteristics may not drastically change over time, either immediate or irreversible investment decisions might be reconsidered under the current selling prices of heat, power and CO(2) allowances.

  1. Technology investment fund : issues for consideration : issue paper for an expert workshop

    International Nuclear Information System (INIS)

    Drexhage, J.

    2006-12-01

    This document was prepared in advance of an expert workshop held to discuss technology investment funds (TIF) related to Canada's Clean Air Act. TIFs are being considered in the development of the Clean Air Act as a compliance option for air emissions regulations. Energy production is expected to dominate Canadian business in the future, and the domestic sector is undergoing a marked shift from conventional to unconventional sources such as oil sands, coalbed methane (CBM) and liquefied natural gas. Technological solutions are required to allow Canada to obtain the benefits of the country's natural resource wealth while reducing impacts to the environment. However, solutions will vary from region to region. The report examined issues related to financing research and demonstration programs. Research and development policies were discussed, as well as the role of the government in encouraging public and private partnerships. It was suggested that a portfolio of policy approaches will be required, as well as a compliance-based TIF designed to address a range of greenhouse gas (GHG) and air pollutants. Issues concerning rates of contributions and recognition for existing technology investments were also reviewed. Various taxes, levies, and funding approaches were outlined. It was concluded that a successful TIF will form part of an overall emissions trading framework.1 tab

  2. Optimal investment decisions with a liability: the case of defined benefit pension plans

    OpenAIRE

    Josa-Fombellida, Ricardo; Rincón-Zapatero, Juan Pablo

    2006-01-01

    In this paper the optimal management of an aggregated dynamic pension fund is studied. To cover the promised liabilities to workers at the age of retirement, the plan sponsor continuously manages time-varying funds. He or she can choose the rate of contribution to the fund, the investment in a given number of risky assets, and a security with constant rate of return. The problem of maximizing the probability that the fund assets achieve some prescribed goal before some undesirable lower value...

  3. IFRS 13 and investing decisions : A study of auditors and academics’ viewpoint

    OpenAIRE

    Yarnold, Jonathan; Ravlic, Marko

    2014-01-01

    With the recent financial crisis that have happened and the global move towards fair value accounting financial institutions such as the IASB saw fit to increase the mandatory disclosure requirements by implementing IFRS 13 to regulated fair value accounting in IFRS. The implementation of IFRS 13 means that many of the old standards in regards to fair value will be replaced, for example investment properties reporting under IAS 40. Furthermore IFRS 13 redefines the classification system for a...

  4. Guide for developing an information technology investment road map for population health management.

    Science.gov (United States)

    Hunt, Jacquelyn S; Gibson, Richard F; Whittington, John; Powell, Kitty; Wozney, Brad; Knudson, Susan

    2015-06-01

    Many health systems recovering from a massive investment in electronic health records are now faced with the prospect of maturing into accountable care organizations. This maturation includes the need to cooperate with new partners, involve substantially new data sources, require investment in additional information technology (IT) solutions, and become proficient in managing care from a new perspective. Adding to the confusion, there are hundreds of population health management (PHM) vendors with overlapping product functions. This article proposes an organized approach to investing in PHM IT. The steps include assessing the organization's business and clinical goals, establishing governance, agreeing on business requirements, evaluating the ability of current IT systems to meet those requirements, setting time lines and budgets, rationalizing current and future needs and capabilities, and installing the new systems in the context of a continuously learning organization. This article will help organizations chart their position on the population health readiness spectrum and enhance their chances for a successful transition from volume-based to value-based care.

  5. The effect of information technology investment on firm-level performance in the health care industry.

    Science.gov (United States)

    Thouin, Mark F; Hoffman, James J; Ford, Eric W

    2008-01-01

    The return on investment for information technology (IT) has been the subject of much debate throughout the history of management information systems research. Often referred to as the productivity paradox, increased IT investments have not been consistently associated with increased productivity. Understanding individual IT factors that directly contribute to business value should provide insight into the productivity paradox. The effects of 3 different firm-level IT characteristics on financial performance in the health care industry are studied. Specifically, the effects of IT budget, IT outsourcing, and the relative number of IT personnel on firm-level financial performance are analyzed. Regression analysis of archival survey data for 914 Integrated Healthcare Delivery Systems is performed. IT budgetary expenditures and the number of IT services outsourced are associated with increases in the profitability of Integrated Healthcare Delivery Systems, whereas increases in IT personnel are not significantly associated with increased profitability. Each one tenth of a percentage increase in IT expenditures is associated with approximately $100,000 in increased profit, and each additional IT service outsourced is associated with approximately $950,000 in increased profit for an average-sized Integrated Healthcare Delivery System. To increase profitability, IT administrators should increase IT budgetary expenditures along with IT outsourcing levels. IT administrators in the health care industry can use such findings during budgeting cycles to justify increased investments in IT personnel as being budget neutral while increasing organizational capacity.

  6. 7th KES International Conference on Intelligent Decision Technologies

    CERN Document Server

    Jain, Lakhmi; Howlett, Robert

    2015-01-01

    This book presents the 57 papers accepted for presentation at the Seventh KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), held in Sorrento, Italy, in June 2015. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.

  7. DECISION-COMPONENTS OF NICE'S TECHNOLOGY APPRAISALS ASSESSMENT FRAMEWORK.

    Science.gov (United States)

    de Folter, Joost; Trusheim, Mark; Jonsson, Pall; Garner, Sarah

    2018-01-01

    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.

  8. Environmental Decision Making and Information Technology: Issues Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Barg, S.; Fletcher, T.; Mechling, J.; Tonn, B.; Turner, R.

    1999-05-01

    This report presents a summary of the Information Technology and Environmental Decision Making Workshop that was held at Harvard University, October 1-3, 1998. Over sixty participants from across the US took part in discussions that focused on the current practice of using information technology to support environmental decision making and on future considerations of information technology development, information policies, and data quality issues in this area. Current practice is focusing on geographic information systems and visualization tools, Internet applications, and data warehousing. In addition, numerous organizations are developing environmental enterprise systems to integrate environmental information resources. Plaguing these efforts are issues of data quality (and public trust), system design, and organizational change. In the future, much effort needs to focus on building community-based environmental decision-making systems and processes, which will be a challenge given that exactly what needs to be developed is largely unknown and that environmental decision making in this arena has been characterized by a high level of conflict. Experimentation and evaluation are needed to contribute to efficient and effective learning about how best to use information technology to improve environmental decision making.

  9. INCLUDING RISK IN ECONOMIC FEASIBILITY ANALYSIS:A STOCHASTIC SIMULATION MODEL FOR BLUEBERRY INVESTMENT DECISIONS IN CHILE

    Directory of Open Access Journals (Sweden)

    GERMÁN LOBOS

    2015-12-01

    Full Text Available ABSTRACT The traditional method of net present value (NPV to analyze the economic profitability of an investment (based on a deterministic approach does not adequately represent the implicit risk associated with different but correlated input variables. Using a stochastic simulation approach for evaluating the profitability of blueberry (Vaccinium corymbosum L. production in Chile, the objective of this study is to illustrate the complexity of including risk in economic feasibility analysis when the project is subject to several but correlated risks. The results of the simulation analysis suggest that the non-inclusion of the intratemporal correlation between input variables underestimate the risk associated with investment decisions. The methodological contribution of this study illustrates the complexity of the interrelationships between uncertain variables and their impact on the convenience of carrying out this type of business in Chile. The steps for the analysis of economic viability were: First, adjusted probability distributions for stochastic input variables (SIV were simulated and validated. Second, the random values of SIV were used to calculate random values of variables such as production, revenues, costs, depreciation, taxes and net cash flows. Third, the complete stochastic model was simulated with 10,000 iterations using random values for SIV. This result gave information to estimate the probability distributions of the stochastic output variables (SOV such as the net present value, internal rate of return, value at risk, average cost of production, contribution margin and return on capital. Fourth, the complete stochastic model simulation results were used to analyze alternative scenarios and provide the results to decision makers in the form of probabilities, probability distributions, and for the SOV probabilistic forecasts. The main conclusion shown that this project is a profitable alternative investment in fruit trees in

  10. Identification and quantification of principal–agent problems affecting energy efficiency investments and use decisions in the trucking industry

    International Nuclear Information System (INIS)

    Vernon, David; Meier, Alan

    2012-01-01

    Energy related Principal–Agent (PA) problems cause inefficient combinations of investment, operating costs, and usage behavior. The complex market structure of the trucking industry contributes to split incentives because entities responsible for investments in energy efficiency do not always pay fuel costs and drivers are often not rewarded for fuel-efficient operation. Some contractual relationships exist in the trucking industry that hinder responses to fuel price signals. Up to 91% of total trucking fuel consumption in the U.S. is affected by “usage” PA problems, where the driver does not pay fuel costs and lacks incentive for fuel saving operation. Approximately 23% of trailers are exposed to an “efficiency problem” when owners of rented trailers do not pay fuel costs and therefore have little incentive to invest in efficiency upgrades such as improved trailer aerodynamics and reduced tire rolling resistance. This study shows that PA problems have the potential to significantly increase fuel consumption through avoided investments, insufficient maintenance, and fuel-wasting practices. Further research into the causes and effects of PA problems can shape policies to promote better alignment of costs and benefits, leading to reduced fuel use and carbon emissions. - Highlights: ► We identify and quantify principal agent market failures in the trucking industry. ► Up to 91% of truck fuel consumption is exposed to a usage principal–agent market failure. ► Twenty-three percent of trailers are exposed to an efficiency principal–agent market failure. ► These market failures at least partially insulate key decision makers from fuel price signals.

  11. A case for Sandia investment in complex adaptive systems science and technology.

    Energy Technology Data Exchange (ETDEWEB)

    Colbaugh, Richard; Tsao, Jeffrey Yeenien; Johnson, Curtis Martin; Backus, George A.; Brown, Theresa Jean; Jones, Katherine A.

    2012-05-01

    This white paper makes a case for Sandia National Laboratories investments in complex adaptive systems science and technology (S&T) -- investments that could enable higher-value-added and more-robustly-engineered solutions to challenges of importance to Sandia's national security mission and to the nation. Complex adaptive systems are ubiquitous in Sandia's national security mission areas. We often ignore the adaptive complexity of these systems by narrowing our 'aperture of concern' to systems or subsystems with a limited range of function exposed to a limited range of environments over limited periods of time. But by widening our aperture of concern we could increase our impact considerably. To do so, the science and technology of complex adaptive systems must mature considerably. Despite an explosion of interest outside of Sandia, however, that science and technology is still in its youth. What has been missing is contact with real (rather than model) systems and real domain-area detail. With its center-of-gravity as an engineering laboratory, Sandia's has made considerable progress applying existing science and technology to real complex adaptive systems. It has focused much less, however, on advancing the science and technology itself. But its close contact with real systems and real domain-area detail represents a powerful strength with which to help complex adaptive systems science and technology mature. Sandia is thus both a prime beneficiary of, as well as potentially a prime contributor to, complex adaptive systems science and technology. Building a productive program in complex adaptive systems science and technology at Sandia will not be trivial, but a credible path can be envisioned: in the short run, continue to apply existing science and technology to real domain-area complex adaptive systems; in the medium run, jump-start the creation of new science and technology capability through Sandia's Laboratory Directed Research

  12. Computer-Based Decision Support for Railroad Transportation Systems: an Investment Case Study

    Directory of Open Access Journals (Sweden)

    Luminita DUTA

    2009-01-01

    Full Text Available In the last decade the development of the economical and social life increased the complexity of transportation systems. In this context, the role of Decision Support Systems (DSS became more and more important. The paper presents the characteristics, necessity, and usage of DSS in transportation and describes a practical application in the railroad field. To compute the optimal transportation capacity and flow on a certain railroad, specialized decision-support software which is available on the market was used.

  13. GROWTH AND VENTURE CAPITAL INVESTMENT IN TECHNOLOGY-BASED SMALL FIRMS THE CASE OF HUNGARY

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    Becsky Nagy Patricia

    2014-07-01

    Full Text Available Venture capital backed enterprises represent a low proportion of companies, even of innovative ones. The research question was, whether these companies have an important role in innovation and economic growth in Hungary compared to other countries. In the first part of the article I present the theoretical background of technology-based small firms, highlighting the most important models and theories of the economic impact and the special development of innovative technology-oriented small firms. In the second part of the article I present the status of the most important indicators of innovation in connection with entrepreneurship, than I elaborate on the measures of start-ups, mainly the high-tech ones with high-growth potential. I describe the current position of venture capital industry, detailing the venture capital investments, with particular emphasis on classical venture capital investments that points out the number and the amount of venture capital investments financing early stage firms with high-growth potential. At the end I summarize the status of Hungarian technology-based small firms and their possibilities to get financial sources form venture capital investors, with regards to the status and the prospects of the JEREMIE program. In Hungary the number of internationally competitive firms, ready and willing to obtain venture capital, is much lower than in the US or Western European countries. Hungary could take advantage of its competitive edges in some special fields of innovation. The efficiency of information flow would reduce the information gap between the demand and the supply side of the venture capital market and more Hungarian firms could be internationally successful through venture capital financing. The recent years’ policy and special programs like JEREMIE generated more transactions, that helped to inform the entrepreneurs about venture capital and helped to co-invest public resources with private equity more

  14. Cost-Benefit Analysis for Investment Decisions: Chapter 16 (Cost-Benefit Analysis of Transportation Projects)

    OpenAIRE

    Glenn Jenkins; Chun-Yan Kuo; Arnold C. Harberger

    2011-01-01

    This chapter will focus on the problems of evaluating transportation projects in the context of the less-developed countries. Emphasis will be placed on highway projects, because these account for the bulk of transport investments in the developing parts of the world. If a project passes a straight financial test, based on the present value of its cash inflows and outflows, projects would only come if this financial NPV were outweighed by the present value of the project’s various externali...

  15. Information Technology Management: Reporting of DoD Capital Investments for Information Technology in Support of the FY 2006 Budget Submission

    National Research Council Canada - National Science Library

    Truex, Kathryn M; Shaffer, Robert L; Leighton, George A; Johnson, Robert R; Brunetti, Tina N; Courtade, Rebecca S; Woodruff, Courtney E; Buscaigio, James J; Gavura, Cindy L

    2005-01-01

    Who Should Read This Report and Why? DoD managers preparing and certifying capital investment justifications for information technology should read this report to improve the quality of data being submitted by the Department of Defense...

  16. Artificial intelligence and exponential technologies business models evolution and new investment opportunities

    CERN Document Server

    Corea, Francesco

    2017-01-01

    Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from...

  17. Assessment of the possibility of utilisation of used ceramic moulds originated from the investment casting technology

    Directory of Open Access Journals (Sweden)

    M. Holtzer

    2009-04-01

    Full Text Available Review of wastes generated by investment casting technology and discussion on possibilities of disposal of the largest quantity waste from this technology - used ceramic mould is presented in the paper. Preliminary examinations of disintegration process of used ceramic mould conducted in various testing conditions were performed in the frame of presented research. Applied system of disintegration doesn’twarrant obtained material to be suitable for reuse in production of ceramic moulds. Investigations of the inter-phase boundary: ceramicmould-casting were performed to examine environmental harmfulness of used ceramic moulds. Additionally ecologic assessment of spentmoulds by means of it’s elution in the aspect of qualifying possibilities of it’s disposal were performed. Gained results qualify the waste from ceramic mould to storage in deposits for neutral wastes.

  18. Health technology assessment, value-based decision making, and innovation.

    Science.gov (United States)

    Henshall, Chris; Schuller, Tara

    2013-10-01

    Identifying treatments that offer value and value for money is becoming increasingly important, with interest in how health technology assessment (HTA) and decision makers can take appropriate account of what is of value to patients and to society, and in the relationship between innovation and assessments of value. This study summarizes points from an Health Technology Assessment International (HTAi) Policy Forum discussion, drawing on presentations, discussions among attendees, and background papers. Various perspectives on value were considered; most place patient health at the core of value. Wider elements of value comprise other benefits for: patients; caregivers; the health and social care systems; and society. Most decision-making systems seek to take account of similar elements of value, although they are assessed and combined in different ways. Judgment in decisions remains important and cannot be replaced by mathematical approaches. There was discussion of the value of innovation and of the effects of value assessments on innovation. Discussion also included moving toward "progressive health system decision making," an ongoing process whereby evidence-based decisions on use would be made at various stages in the technology lifecycle. Five actions are identified: (i) development of a general framework for the definition and assessment of value; development by HTA/coverage bodies and regulators of (ii) disease-specific guidance and (iii) further joint scientific advice for industry on demonstrating value; (iv) development of a framework for progressive licensing, usage, and reimbursement; and (v) promoting work to better adapt HTA, coverage, and procurement approaches to medical devices.

  19. Technology Familiarization to Preservice Teachers: Factors that Influence Teacher Educators' Technology Decisions

    Science.gov (United States)

    Kalonde, Gilbert; Mousa, Rabab

    2016-01-01

    The purpose of this study was to investigate factors that influence teacher educators' technology decisions in methods courses. Research has shown various reasons why teachers use different types of technologies and not able to integrate certain technologies. However, this study focused on the source of teachers' instructional technology…

  20. Roadmapping or development of future investments in environmental science and technology

    Energy Technology Data Exchange (ETDEWEB)

    Wilburn, D. (Dianne)

    2002-01-01

    priorities for future program planning and development of future investments in environmental science and technology, which would reduce risk by delivering additional data and technologies with possible incremental improvement to baselines.

  1. Foreign direct investment and technology spillovers in Mexico: 20 years of NAFTA

    Directory of Open Access Journals (Sweden)

    Enrique Armas

    2017-10-01

    Full Text Available This article analyses the development of technology capabilities in the manufacturing sector of Mexico during the last two decades. It has been argued that the inclusion of Mexico in the North America Free Trade Agreement (NAFTA in 1994 would be enough to catch up with Canada and the United States. In this regard, trade liberalisation and foreign direct investment (FDI would have been two strategic tools to close the technology gap between Mexico and its commercial partners in North America. Yet, after twenty years of NAFTA, it has been demonstrated that many indigenous firms in Mexico must develop an absorptive capacity to benefit from FDI. This paper suggests that the debate on the Asian miracle in the 1990s could be an adequate theoretical framework to discuss technology development and industrialisation in the case of emerging economies. In fact, this debate reveals two alternative approaches to explain the development of technology capabilities: (i the accumulation view of growth, and (ii the assimilation view of growth. Therefore, the Asian miracle exemplifies how entrepreneurship, learning and a supporting innovation policy could be an adequate strategy to benefit from FDI and technology spillovers in the case of emerging economies.

  2. Econometric Analysis on Developing Decision to Promote an Investment Object of Small Business

    Directory of Open Access Journals (Sweden)

    Cristina Gabriela ZAMFIR

    2014-12-01

    Full Text Available Econometric applications should be used for decision making on economic issues of the day. One of the most important is access to finance sources, a vital field to the country's economic activity. Accessing funding source involves feasibility studies for decision making on opening funding. Therefore, I decided to approach applied econometrics in the feasibility studies: I avoided advanced software applications, limiting to universally accepted methodology of the World Bank and the functions for calculating Excel spreadsheet-success of a feasibility study is correctness and depth of analysis and processing raw data, not in getting and keeping a reputable software.

  3. Assessing the quality of decision support technologies using the International Patient Decision Aid Standards instrument (IPDASi.

    Directory of Open Access Journals (Sweden)

    Glyn Elwyn

    Full Text Available To describe the development, validation and inter-rater reliability of an instrument to measure the quality of patient decision support technologies (decision aids.Scale development study, involving construct, item and scale development, validation and reliability testing.There has been increasing use of decision support technologies--adjuncts to the discussions clinicians have with patients about difficult decisions. A global interest in developing these interventions exists among both for-profit and not-for-profit organisations. It is therefore essential to have internationally accepted standards to assess the quality of their development, process, content, potential bias and method of field testing and evaluation.Scale development study, involving construct, item and scale development, validation and reliability testing.Twenty-five researcher-members of the International Patient Decision Aid Standards Collaboration worked together to develop the instrument (IPDASi. In the fourth Stage (reliability study, eight raters assessed thirty randomly selected decision support technologies.IPDASi measures quality in 10 dimensions, using 47 items, and provides an overall quality score (scaled from 0 to 100 for each intervention. Overall IPDASi scores ranged from 33 to 82 across the decision support technologies sampled (n = 30, enabling discrimination. The inter-rater intraclass correlation for the overall quality score was 0.80. Correlations of dimension scores with the overall score were all positive (0.31 to 0.68. Cronbach's alpha values for the 8 raters ranged from 0.72 to 0.93. Cronbach's alphas based on the dimension means ranged from 0.50 to 0.81, indicating that the dimensions, although well correlated, measure different aspects of decision support technology quality. A short version (19 items was also developed that had very similar mean scores to IPDASi and high correlation between short score and overall score 0.87 (CI 0.79 to 0.92.This work

  4. Uncertainties in real-world decisions on medical technologies.

    Science.gov (United States)

    Lu, C Y

    2014-08-01

    Patients, clinicians, payers and policy makers face substantial uncertainties in their respective healthcare decisions as they attempt to achieve maximum value, or the greatest level of benefit possible at a given cost. Uncertainties largely come from incomplete information at the time that decisions must be made. This is true in all areas of medicine because evidence from clinical trials is often incongruent with real-world patient care. This article highlights key uncertainties around the (comparative) benefits and harms of medical technologies. Initiatives and strategies such as comparative effectiveness research and coverage with evidence development may help to generate reliable and relevant evidence for decisions on coverage and treatment. These efforts could result in better decisions that improve patient outcomes and better use of scarce medical resources. © 2014 John Wiley & Sons Ltd.

  5. R & D STRATEGIC INVESTMENT IN AN ASYMMETRICAL CASE

    Institute of Scientific and Technical Information of China (English)

    Minggao XUE; Pu GONG

    2006-01-01

    This article analyzes R & D investment decisions in an asymmetrical case. The investment decisions share three important characteristics. First, the investment is completely irreversible. Second,there are two kinds of uncertainties over the future returns from the investment and over technology in R & D process, respectively. Third, there is strategic competition in the asymmetrical case. This article presents the optimal investment threshold values and the optimal investment rule of high-efficient firm (leader), and shows that the investment threshold values are reduced by competition of two firms.Finally, the mixed investment strategies for two firms, the probability that each firm separately exercises the option to invest, and the probability that two firms simultaneously exercise the option are given in the paper.

  6. 78 FR 42155 - BHC Investment Corporation, Receipt of Petition for Decision of Inconsequential Noncompliance

    Science.gov (United States)

    2013-07-15

    ... warning triangle kits. Each kit includes three warning devices for a total of 39,915 devices. The affected... and recall responsibilities of 49 CFR part 573 for the affected equipment. However, a decision on this... suspected non-compliance. 5. BHC believes that any recall campaign would be ineffective. BHC is in the...

  7. Combining communication technology utilization and organizational innovation: evidence from Canadian healthcare decision makers.

    Science.gov (United States)

    Jbilou, Jalila; Landry, Réjean; Amara, Nabil; El Adlouni, Salaheddine

    2009-08-01

    Information and Communication Technology (ICT) and Organizational Innovation (OI) are seen as the miracle of post-modernity in organizations. In this way, they are supposed to resolve most organizational problems, efficiently and rapidly. OI is highly dependent on the capacity and the investment in knowledge management (internal and external) to support decision making process and to implement significant changes. We know what explains ICT utilization (ICTU) and what determines OI development (OID) in healthcare services. Moreover, the literature tends to link ICTU to OID and vice versa. However, this dependency has never been explored empirically through the lens of roles combination. To identify the existing combined roles profiles of ICTU and OID among healthcare decision makers and determine factors of the shift from a profile to another. We did the following: (1) a structured review of the literature on healthcare management by focusing on ICTU and OID which allowed us to build two indexes and a comprehensive framework; (2) a copula methodology to identify with high precision the thresholds for ICTU and OID; and (3) a cross-sectional study based on a survey done with a sample of 942 decision makers from Canadian healthcare organizations through a multinomial logit model to identify determinants of the shift. ICTU and OID are correlated at 22% (Kendal's Tau). The joint distribution (combination) of ICTU and OID shows that four major profiles exist among decision makers in Canadian healthcare organizations: the traditional decision maker, the innovative decision maker, the technologic decision maker and the contemporary decision maker. We found out that classic factors act as barriers to the shift from one profile to the desired profile (from 1 to 4, from 2 to 4 and from 3 to 4). We have identified that the attitude toward research and relational capital are transversal barriers of shift. We have also found that some factors have a specific impact such as

  8. International Investment Location Decisions: The Case of Korean firms into China

    Directory of Open Access Journals (Sweden)

    Hongshik Lee

    2004-12-01

    Full Text Available Recent literature maintains there are at least two explanations for the motivations of FDI, one involving trade barriers (horizontal-FDI and the other factor proportions hypothesis (vertical-FDI. The first view is that multinationals act in order to overcome trade barrier, and the second view is that multinationals arise to take advantage of international factor price differences. The purpose of this paper is to study the motivations of Korean foreign direct investment in China. Using the panel data on Korean FDI in China for the years 1988~2002, we examined the geographic determinants of direct investment in China from Korean firms. In doing so, we investigated, on the one hand, to what extent multinational activity is consistent with the factor proportions theory, i.e., to what extent multinational activity is related to cheap factor supplies. On the other hand, we study the market access motivation for multinational activity. Our econometric results suggest that factor proportions hypothesis is indeed the dominant influence on investor calculations for the early period of Korean FDI in China. Since end of 1990s, however, market-seeking FDI pattern is more common than FDI motivated by factor price differentials. We also find that the hypothesis that good-quality infrastructure is conducive to attracting FDI is not supported for Korean firms. Evidence supports the claim that regions with high degree of reform, which implement preferential treatments to foreign investors, still have advantage over other regions in attracting FDI. In sum, the findings in this paper indicate that Korean FDI for the early period of KorRecent literature maintains there are at least two explanations for the motivations of FDI, one involving trade barriers (horizontal-FDI and the other factor proportions hypothesis (vertical-FDI. The first view is that multinationals act in order to overcome trade barrier, and the second view is that multinationals arise to take

  9. Determinants of farmers' tree-planting investment decisions as a degraded landscape management strategy in the central highlands of Ethiopia

    Science.gov (United States)

    Gessesse, Berhan; Bewket, Woldeamlak; Bräuning, Achim

    2016-04-01

    Land degradation due to lack of sustainable land management practices is one of the critical challenges in many developing countries including Ethiopia. This study explored the major determinants of farm-level tree-planting decisions as a land management strategy in a typical farming and degraded landscape of the Modjo watershed, Ethiopia. The main data were generated from household surveys and analysed using descriptive statistics and a binary logistic regression model. The model significantly predicted farmers' tree-planting decisions (χ2 = 37.29, df = 15, P labour force availability, the disparity of schooling age, level of perception of the process of deforestation and the current land tenure system had a critical influence on tree-growing investment decisions in the study watershed. Eventually, the processes of land-use conversion and land degradation were serious, which in turn have had adverse effects on agricultural productivity, local food security and poverty trap nexus. Hence, the study recommended that devising and implementing sustainable land management policy options would enhance ecological restoration and livelihood sustainability in the study watershed.

  10. Determinants of farmers' tree planting investment decision as a degraded landscape management strategy in the central highlands of Ethiopia

    Science.gov (United States)

    Gessesse, B.; Bewket, W.; Bräuning, A.

    2015-11-01

    Land degradation due to lack of sustainable land management practices are one of the critical challenges in many developing countries including Ethiopia. This study explores the major determinants of farm level tree planting decision as a land management strategy in a typical framing and degraded landscape of the Modjo watershed, Ethiopia. The main data were generated from household surveys and analysed using descriptive statistics and binary logistic regression model. The model significantly predicted farmers' tree planting decision (Chi-square = 37.29, df = 15, Plabour force availability, the disparity of schooling age, level of perception of the process of deforestation and the current land tenure system have positively and significantly influence on tree growing investment decisions in the study watershed. Eventually, the processes of land use conversion and land degradation are serious which in turn have had adverse effects on agricultural productivity, local food security and poverty trap nexus. Hence, devising sustainable and integrated land management policy options and implementing them would enhance ecological restoration and livelihood sustainability in the study watershed.

  11. Investment Decision-Making and Coordination of Supply Chain: A New Research in the Big Data Era

    Directory of Open Access Journals (Sweden)

    Pan Liu

    2016-01-01

    Full Text Available In a Big Data environment, in order to study the decision-making problem of Big Data information investment and the effects of using Big Data information to improve industry cost on supply chain coordination, firstly the importance of Data Company in supply chain was analyzed, and the original supply chain model was built. Meanwhile, some changes of consumer behavior were analyzed in a Big Data environment. Based on these, the market demand function and the benefit model of stakeholder were built and analyzed. Findings: (1 The first finding is whether an enterprise was suitable for gaining Big Data to improve its costs, which was determined by the cost improvement coefficient; namely, it was related to the ability of excavating and using the value of Big Data. (2 Whether the supply chain was the decentralized decision-making and the centralized decision-making, the thresholds of acquisition costs on Big Data information were equal. Moreover, the maximum value that they could undertake was same. (3 Meanwhile the fact that the quantity discount contract could achieve a win-win outcome for supply chain members was proved. The discount coefficient was related to consumers’ behavior preference in a Big Data environment.

  12. Nexus between Information and Communication Technology, Financial Intermediation, and Household Investment: A Review

    Directory of Open Access Journals (Sweden)

    Richard M. Kiai

    2017-06-01

    Full Text Available Financial inclusion has been recognized as a poverty reduction tool, and many economies have taken it up as a national agenda. To achieve the expected levels of financial inclusion, governments have worked with financial intermediaries to reach the expected target group, the unbanked poor. As per the financial intermediation theory, the role of financial intermediaries is to minimize the information asymmetry in the financial system. To enhance financial inclusion, many countries and financial institutions have embraced information and communication technology (ICT. ICT has been recognized as a tool that has worked greatly toward enhancing sharing of information at a low cost and that has thus helped in improving financial inclusion. Though many countries have achieved high levels of financial inclusion through ICT, the levels of poverty have not declined. It was thus important to establish the relationship between ICT, financial intermediation, and household investment. This study methodology was a review of the literature on financial inclusion, financial intermediation, ICT, and household investment. From this study, it was noted that ICT is helping in financial intermediation and thus more people can access financial services. Unfortunately, the levels of ICT capability among the poor are low, and in that case, the poor are not able to utilize financial services offered through ICT platforms to undertake household investment. This is the reason as to why, despite the high levels of financial inclusion, the poor still remain poor. This study recommends that the government should ensure that the levels of ICT among the populace are high. Financial institutions on the other hand should provide financial services with more user-friendly platforms.

  13. Ethical analysis to improve decision-making on health technologies.

    Science.gov (United States)

    Saarni, Samuli I; Hofmann, Bjørn; Lampe, Kristian; Lühmann, Dagmar; Mäkelä, Marjukka; Velasco-Garrido, Marcial; Autti-Rämö, Ilona

    2008-08-01

    Health technology assessment (HTA) is the multidisciplinary study of the implications of the development, diffusion and use of health technologies. It supports health-policy decisions by providing a joint knowledge base for decision-makers. To increase its policy relevance, HTA tries to extend beyond effectiveness and costs to also considering the social, organizational and ethical implications of technologies. However, a commonly accepted method for analysing the ethical aspects of health technologies is lacking. This paper describes a model for ethical analysis of health technology that is easy and flexible to use in different organizational settings and cultures. The model is part of the EUnetHTA project, which focuses on the transferability of HTAs between countries. The EUnetHTA ethics model is based on the insight that the whole HTA process is value laden. It is not sufficient to only analyse the ethical consequences of a technology, but also the ethical issues of the whole HTA process must be considered. Selection of assessment topics, methods and outcomes is essentially a value-laden decision. Health technologies may challenge moral or cultural values and beliefs, and their implementation may also have significant impact on people other than the patient. These are essential considerations for health policy. The ethics model is structured around key ethical questions rather than philosophical theories, to be applicable to different cultures and usable by non-philosophers. Integrating ethical considerations into HTA can improve the relevance of technology assessments for health care and health policy in both developed and developing countries.

  14. Potential Opportunities for Investment in Space Technologies in Latin-America: a Case for Mexico

    Science.gov (United States)

    Sanchez, G.

    2002-01-01

    Student, Master of Space Studies. International Space University. Strasbourg Central The objective of this paper is to analyze the possible commercial benefits that the global manufacturing space industry could obtain by investing in Latin-American countries. Spacecraft manufacturers have recently been complaining about small margins. They claim that customers demand technological advancement at the same time as they push for quick delivery and competitive prices. They also argue that operators (their main customers) do have great profits. Thus, manufacturers would like to raise the prices of their spacecraft (SpaceNews. January 7, 2002. P.17). This may sound logical, but it would be interesting to analyze if the industry could find alternative ways of saving money while remaining competitive. Mexico is a good example of a Latin-American country that has received foreign investment for establishing manufacturing and assembly plants for different industries. This has been mainly due to two special characteristics of the Mexican manufacturing workforce: low labor costs and qualified, reliable human resources. As a result, Mexican manufacturing industry has acquired a solid reputation worldwide. A similar story can be told about other industries such as electronics, computer assembly, clothes, etc. It is probably worth to make an analogy with a labor-demanding industry that already has experience in the Mexican market: the car industry has found a formula to keep manufacturing costs low while maintaining production and quality levels. Mexico currently manufactures and assembles cars for European, Japanese and American companies for the international market. If the same success story could be repeated for the spacecraft manufacturing industry, the benefits would be enormous. Manufacturers could consider relocating their plants to Mexico to manufacture and test parts or entire spacecraft. This would help reduce the cost of human labor, especially because of the long

  15. The present value of the future, or individual decisions behind superannuation investments

    OpenAIRE

    Attila Farmasi; Tibor Tatay

    2011-01-01

    In recent decades, there has been much debate on how a state can establish a pension system that takes into consideration the balance of the general government. In addition to the condition of an equilibrium, social security and the stability of the value of pensions should also be ensured. The Hungarian regulation, however, has compelled not only economic politicians, but also future pensioners make their choice several times. The aim of this paper is to study such choices and decisions. The...

  16. Ethical analysis to improve decision-making on health technologies

    DEFF Research Database (Denmark)

    Saarni, Samuli I; Hofmann, Bjørn; Lampe, Kristian

    2008-01-01

    beyond effectiveness and costs to also considering the social, organizational and ethical implications of technologies. However, a commonly accepted method for analysing the ethical aspects of health technologies is lacking. This paper describes a model for ethical analysis of health technology...... that is easy and flexible to use in different organizational settings and cultures. The model is part of the EUnetHTA project, which focuses on the transferability of HTAs between countries. The EUnetHTA ethics model is based on the insight that the whole HTA process is value laden. It is not sufficient...... to only analyse the ethical consequences of a technology, but also the ethical issues of the whole HTA process must be considered. Selection of assessment topics, methods and outcomes is essentially a value-laden decision. Health technologies may challenge moral or cultural values and beliefs...

  17. Joint Small Arms Technology Development Strategy for Joint Service Small Arms Science and Technology Investments

    Science.gov (United States)

    2016-01-26

    reduction efforts that need to be led by the Joint Services include One Way Luminescence, where the improvement in hit goes up for the follow on shots...new technology would enable spectral segment defeat, ranging from ultraviolet ( UV ), visible, Infrared (IR), radar, and radio and any combinations...program of work as directed via the Land Armaments Management Plan ( LAMP ) and advise the NAAG on systems and equipment aspects of dismounted operations

  18. Return on investment for vendor computerized physician order entry in four community hospitals: the importance of decision support.

    Science.gov (United States)

    Zimlichman, Eyal; Keohane, Carol; Franz, Calvin; Everett, Wendy L; Seger, Diane L; Yoon, Catherine; Leung, Alexander A; Cadet, Bismarck; Coffey, Michael; Kaufman, Nathan E; Bates, David W

    2013-07-01

    In-hospital adverse events are a major cause of morbidity and mortality and represent a major cost burden to health care systems. A study was conducted to evaluate the return on investment (ROI) for the adoption of vendor-developed computerized physician oder entry (CPOE) systems in four community hospitals in Massachusetts. Of the four hospitals, two were under one management structure and implemented the same vendor-developed CPOE system (Hospital Group A), while the other two were under a second management structure and implemented another vendor-developed CPOE system (Hospital Group B). Cost savings were calculated on the basis of reduction in preventable adverse drug event (ADE) rates as measured previously. ROI, net cash flow, and the breakeven point during a 10-year cost-and-benefit model were calculated. At the time of the study, none of the participating hospitals had implemented more than a rudimentary decision support system together with CPOE. Implementation costs were lower for Hospital Group A than B ($7,130,894 total or $83/admission versus $19,293,379 total or $113/admission, respectively), as were preventable ADE-related avoided costs ($7,937,651 and $16,557,056, respectively). A cost-benefit analysis demonstrated that Hospital Group A had an ROI of 11.3%, breaking even on the investment eight years following implementation. Hospital Group B showed a negative return, with an ROI of -3.1%. Adoption of vendor CPOE systems in community hospitals was associated with a modest ROI at best when applying cost savings attributable to prevention of ADEs only. The modest financial returns can beattributed to the lack of clinical decision support tools.

  19. Risk-Informed Decision Making: Application to Technology Development Alternative Selection

    Science.gov (United States)

    Dezfuli, Homayoon; Maggio, Gaspare; Everett, Christopher

    2010-01-01

    NASA NPR 8000.4A, Agency Risk Management Procedural Requirements, defines risk management in terms of two complementary processes: Risk-informed Decision Making (RIDM) and Continuous Risk Management (CRM). The RIDM process is used to inform decision making by emphasizing proper use of risk analysis to make decisions that impact all mission execution domains (e.g., safety, technical, cost, and schedule) for program/projects and mission support organizations. The RIDM process supports the selection of an alternative prior to program commitment. The CRM process is used to manage risk associated with the implementation of the selected alternative. The two processes work together to foster proactive risk management at NASA. The Office of Safety and Mission Assurance at NASA Headquarters has developed a technical handbook to provide guidance for implementing the RIDM process in the context of NASA risk management and systems engineering. This paper summarizes the key concepts and procedures of the RIDM process as presented in the handbook, and also illustrates how the RIDM process can be applied to the selection of technology investments as NASA's new technology development programs are initiated.

  20. Valuation of clean energy investments: The case of the Zero Emission Coal (ZEC) technology

    Science.gov (United States)

    Yeboah, Frank Ernest

    Today, coal-fired power plants produce about 55% of the electrical energy output in the U.S. Demand for electricity is expected to grow in future. Coal can and will continue to play a substantial role in the future global energy supply, despite its high emission of greenhouse gases (e.g. CO2 etc.) and low thermal energy conversion efficiency of about 37%. This is due to the fact that, it is inexpensive and global reserves are abundant. Furthermore, cost competitive and environmentally acceptable energy alternatives are lacking. New technologies could also make coal-fired plants more efficient and environmentally benign. One such technology is the Zero Emission Carbon (ZEC) power plant, which is currently being proposed by the ZECA Corporation. How much will such a technology cost? How competitive will it be in the electric energy market when used as a technology for mitigating CO2 emission? If there were regulatory mechanisms, such as carbon tax to regulate CO2 emission, what would be the minimum carbon tax that should be imposed? How will changes in energy policy affect the implementation of the ZEC technology? How will the cost of the ZEC technology be affected, if a switch from coal (high emission-intensive fuel) to natural gas (low emission-intensive fuel) were to be made? This work introduces a model that can be used to analyze and assess the economic value of a ZEC investment using valuation techniques employed in the electric energy industry such as revenue requirement (e.g. cost-of-service). The study concludes that the cost of service for ZEC technology will be about 95/MWh at the current baseline scenario of using fuel cell as the power generation system and coal as the primary fuel, and hence will not be competitive in the energy markets. For the technology to be competitive, fuel cell capital cost should be as low as 500/kW with a lifetime of 20 years or more, the cost of capital should be around 10%, and a carbon tax of 30/t of CO2 should be in place

  1. Proceedings of the executive dialogue on resource planning and investment decisions

    International Nuclear Information System (INIS)

    Porter, K.

    1992-01-01

    At the invitation of the Secretary of the US Department of Energy (DOE), more than sixty electric utility executives met with twenty state regulators and twenty senior executives of major intervenor groups to discuss the issues that define the future of integrated resource planning (IRP). During the last decade, the concept of IRP (or least-cost planning as it was known earlier) emerged as an important utility and energy planning tool. Since 1986, IRP has been utilized, to some degree, in as many as 27 states. DOE participated in the rapid expansion of IRP through modest investments in pivotal programs and projects. The primary purpose of this meeting was to assess the status of IRP and to discuss the steps needed to strengthen its role in state and national energy policy. The one-and-one-half-day meeting began with a brief plenary session consisting of three presentations to set the context for the workshop and raise critical IRP issues by three acknowledged leaders from utilities, regulators, and intervenors. This was followed by discussions in small groups for the balance of the day. The meeting concluded with a two-part plenary session that (1) summarized the findings of the discussion groups and (2) presented conclusions and recommendations representing the collective views of each sector (utility, regulatory, and intervenor) expressed during the workshop

  2. Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under Uncertainty

    Directory of Open Access Journals (Sweden)

    Xudong Chen

    2018-03-01

    Full Text Available This study considers the two factors of environmental protection and economic benefits to address municipal sewage treatment. Based on considerations regarding the sewage treatment plant construction site, processing technology, capital investment, operation costs, water pollutant emissions, water quality and other indicators, we establish a general multi-objective decision model for optimizing municipal sewage treatment plant construction. Using the construction of a sewage treatment plant in a suburb of Chengdu as an example, this paper tests the general model of multi-objective decision-making for the sewage treatment plant construction by implementing a genetic algorithm. The results show the applicability and effectiveness of the multi-objective decision model for the sewage treatment plant. This paper provides decision and technical support for the optimization of municipal sewage treatment.

  3. Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under Uncertainty.

    Science.gov (United States)

    Chen, Xudong; Xu, Zhongwen; Yao, Liming; Ma, Ning

    2018-03-05

    This study considers the two factors of environmental protection and economic benefits to address municipal sewage treatment. Based on considerations regarding the sewage treatment plant construction site, processing technology, capital investment, operation costs, water pollutant emissions, water quality and other indicators, we establish a general multi-objective decision model for optimizing municipal sewage treatment plant construction. Using the construction of a sewage treatment plant in a suburb of Chengdu as an example, this paper tests the general model of multi-objective decision-making for the sewage treatment plant construction by implementing a genetic algorithm. The results show the applicability and effectiveness of the multi-objective decision model for the sewage treatment plant. This paper provides decision and technical support for the optimization of municipal sewage treatment.

  4. The Use of Advanced Warfighting Experiments to Support Acquisition Decisions

    National Research Council Canada - National Science Library

    Strayer, Kenneth

    1999-01-01

    .... Specifically, the thesis evaluated the effectiveness of the Army Task Force XXI AWE in providing information to support investment decisions and refinement of requirements for information age technologies...

  5. A hierarchical decision making model for the prioritization of distributed generation technologies: A case study for Iran

    International Nuclear Information System (INIS)

    Zangeneh, Ali; Jadid, Shahram; Rahimi-Kian, Ashkan

    2009-01-01

    The purpose of this paper is to present an assessment and evaluation model for the prioritization of distributed generation (DG) technologies, both conventional and renewable, to meet the increasing load due to the growth rate in Iran, while considering the issue of sustainable development. The proposed hierarchical decision making strategy is presented from the viewpoint of either the distribution company (DisCo) or the independent power producer (IPP) as a private entity. Nowadays, DG is a broadly-used term that covers various technologies; however, it is difficult to find a unique DG technology that takes into account multiple considerations, such as economic, technical, and environmental attributes. For this purpose, a multi-attribute decision making (MADM) approach is used to assess the alternatives for DG technology with respect to their economic, technical and environmental attributes. In addition, a regional primary energy attribute is also included in the hierarchy to express the potential of various kinds of energy resources in the regions under study. The obtained priority of DG technologies help decision maker in each region how allocate their total investment budget to the various technologies. From the performed analysis, it is observed that gas turbines are almost the best technologies for investing in various regions of Iran. At the end of the decision making process, a sensitivity analysis is performed based on the state regulations to indicate how the variations of the attributes' weights influence the DG alternatives' priority. This proposed analytical framework is implemented in seven parts of Iran with different climatic conditions and energy resources.

  6. Decision analysis for the selection of tank waste retrieval technology

    International Nuclear Information System (INIS)

    DAVIS, FREDDIE J.; DEWEESE, GREGORY C.; PICKETT, WILLIAM W.

    2000-01-01

    The objective of this report is to supplement the C-104 Alternatives Generation and Analysis (AGA) by providing a decision analysis for the alternative technologies described therein. The decision analysis used the Multi-Attribute Utility Analysis (MUA) technique. To the extent possible information will come from the AGA. Where data are not available, elicitation of expert opinion or engineering judgment is used and reviewed by the authors of the AGA. A key element of this particular analysis is the consideration of varying perspectives of parties interested in or affected by the decision. The six alternatives discussed are: sluicing; sluicing with vehicle mounted transfer pump; borehole mining; vehicle with attached sluicing nozzle and pump; articulated arm with attached sluicing nozzle; and mechanical dry retrieval. These are evaluated using four attributes, namely: schedule, cost, environmental impact, and safety

  7. Supporting Building Portfolio Investment and Policy Decision Making through an Integrated Building Utility Data Platform

    Energy Technology Data Exchange (ETDEWEB)

    Aziz, Azizan [Carnegie Mellon Univ., Pittsburgh, PA (United States); Lasternas, Bertrand [Carnegie Mellon Univ., Pittsburgh, PA (United States); Alschuler, Elena [US DOE; View Inc; Loftness, Vivian [Carnegie Mellon Univ., Pittsburgh, PA (United States); Wang, Haopeng [Carnegie Mellon Univ., Pittsburgh, PA (United States); Mo, Yunjeong [Carnegie Mellon Univ., Pittsburgh, PA (United States); Wang, Ting [Carnegie Mellon Univ., Pittsburgh, PA (United States); Zhang, Chenlu [Carnegie Mellon Univ., Pittsburgh, PA (United States); Sharma, Shilpi [Carnegie Mellon; Stevens, Ivana [Carnegie Mellon Univ., Pittsburgh, PA (United States)

    2016-03-18

    The American Recovery and Reinvestment Act stimulus funding of 2009 for smart grid projects resulted in the tripling of smart meters deployment. In 2012, the Green Button initiative provided utility customers with access to their real-time1 energy usage. The availability of finely granular data provides an enormous potential for energy data analytics and energy benchmarking. The sheer volume of time-series utility data from a large number of buildings also poses challenges in data collection, quality control, and database management for rigorous and meaningful analyses. In this paper, we will describe a building portfolio-level data analytics tool for operational optimization, business investment and policy assessment using 15-minute to monthly intervals utility data. The analytics tool is developed on top of the U.S. Department of Energy’s Standard Energy Efficiency Data (SEED) platform, an open source software application that manages energy performance data of large groups of buildings. To support the significantly large volume of granular interval data, we integrated a parallel time-series database to the existing relational database. The time-series database improves on the current utility data input, focusing on real-time data collection, storage, analytics and data quality control. The fully integrated data platform supports APIs for utility apps development by third party software developers. These apps will provide actionable intelligence for building owners and facilities managers. Unlike a commercial system, this platform is an open source platform funded by the U.S. Government, accessible to the public, researchers and other developers, to support initiatives in reducing building energy consumption.

  8. The Role of Technology, Investment and Ownership Structure in the Productivity Performance of the Manufacturing Sector in Vietnam

    DEFF Research Database (Denmark)

    Newman, Carol; Narciso, Gaia; Tarp, Finn

    2009-01-01

    . The empirical analysis reveals investment and technology usage as important determinants of enterprise productivity levels. Specifically, higher levels of productivity are found in foreign- and state-owned enterprises, driven almost entirely by higher levels of investment and technology usage. Our results...... in almost all sectors and that for many sectors the dispersion in productivity is declining over time. However, for the most productive sectors the gap is widening suggesting that productivity is being driven by the most productive enterprises getting better, leaving the least productive behind...

  9. Encouraging private sector investment in climatefriendly technologies in developing countries. An assessment of policy options for the Dutch government

    International Nuclear Information System (INIS)

    Van Rooijen, S.N.M.; Van Wees, M.T.

    2006-10-01

    This study aims to explore new or reformed policies to be adopted by the Dutch government to encourage private sector investments in climate-friendly technologies in developing countries. A literature review of barriers to climate-friendly investments and of directions for solutions has been complemented with a number of in-depth interviews with stakeholders representing the major actors involved in investment projects (project sponsors, financing institutions, institutional investors and government). The barrier analysis has resulted in the following list of key obstacles to climate-friendly investments: (1) Lack of a sound, transparent and stable enabling environment for investing in developing countries; (2) Shortage of experienced and creditworthy sponsors; (3) High specific project risks; (4) Overestimation investment risks related to (sustainable) investments in developing countries in general (risk perspective); (5) Additional costs of climate-friendly technologies; (6) Shortage of risk capital; (7) Insufficient guarantee mechanisms; (8) Lack of know-how on public-private partnership structures and on financial design; and (9) Lack of insight how corporate social responsibility can be operationalised. Four main gaps have been identified on the basis of an assessment of current Dutch policies and instruments: (1) Shortage of instruments to directly promote investments; (2) Underdeveloped guarantee instruments; (3) Too restrictive cap on project size in financial schemes; (4) Lack of support in operationalising the concept of corporate social responsibility. Four areas for new or intensified policies have been identified based on the barrier and gap analysis: (1) Direct promotion of (potentially large scale) investments, including: (a) Supporting (the establishment of) sponsor companies developing sustainable energy projects in developing countries; (b) Making risk capital available; (c) Creating investment credit facilities; (d) Making development capital in

  10. Essays in Investment Theory

    International Nuclear Information System (INIS)

    Bobtcheff, C.

    2006-01-01

    This thesis analyzes different aspects of the investment decision. In the first chapter, we consider an economy in which different energy sources may produce electricity. The model focuses first on the optimal use of a hydroelectric dam from which water can be extracted and which is supplied with a random water flow. The presence of constraints on a minimal and on a maximal storage capacity makes electricity consumption smoothing possible only when the quantity of water available to the agent lies in a certain range that we determine. In a second stage, we introduce a second energy source with unlimited supply at some exogenous cost. The marginal propensity to produce hydroelectricity is an increasing function of the second technology cost. The availability at a low cost of the alternative source improves thus time diversification. Finally, the optimal electric park is composed of a number of dams that is increasing with the cost of the second technology. Chapter 2 studies the decision of an investor who wants to undertake an irreversible investment when he has the choice between two mutually exclusive projects that present input price and/or output price uncertainty. We prove that the investor decides not to invest in any project when each investment generates the same payoff independently of its size. Therefore, some inaction region appears in which the investor prefers not to invest whereas an immediate investment would have been optimal if no choice had been available: a 'choice value' is thus created. A key feature of this bidimensional degree of uncertainty is thus that the payoff generated by each project is not a sufficient statistic to make a rational investment. In this context, our analysis provides a new motive for waiting to invest: the benefits associated with the dominance of one project over the other. In chapter 3, we study the investment decision problem of a duo-poly with price competition on a market of finite size driven by stochastic taste

  11. Utilizing Ultrasound Technology to Improve Livestock Marketing Decisions

    OpenAIRE

    Jayson L. Lusk; Randall Little; Allen Williams; John Anderson; Blair McKinley

    2003-01-01

    This study estimates the value of using ultrasound technology to improve cattle marketing decisions by optimally choosing a particular marketing method. For the particular group of cattle analyzed, results indicate that using ultrasound information to selectively market cattle could have increased revenue by $25.53/head, $4.98/head, or $32.90/head, compared with simply marketing all animals on a live weight, dressed weight, or grid basis, respectively. Even if producers incorporate such infor...

  12. Developing a Decision Support Tool for Waste to Energy Calculations Using Energy Return on Investment

    Science.gov (United States)

    2016-12-01

    began with. There are multiple methods to accomplish this process, from the standard V- models to complex waterfall methods, but ultimately each...required data and data sources. The team conducted stakeholder analysis and functional decomposition of the requisite model before constructing its...decomposition of the requisite model before constructing its additional module to the tool. This study shows the viability of waste-to-energy technologies to

  13. POWERS. Simulation of pricing and investment decisions in a liberalized Dutch electricity market

    International Nuclear Information System (INIS)

    Rijkers, F.A.M.; Battjes, J.J.; Janszen, F.H.A.; Kaag, M.

    2001-02-01

    With the liberalisation of the Dutch electricity market the electricity price will be divided into a network component and a commodity component. Further, liberalisation will change the determination of the commodity price. Before liberalisation the commodity price was centrally determined by the Sep (Samenwerkende Electriciteitsproductiebedrijven or Dutch Electricity Generating Board), but with the introduction of liberalisation prices will be determined by the market itself. To analyse the liberalised market a new model (POWERS) has been developed in which the new structure of the electricity market is incorporated and the increasing competition between energy companies is taken into account. An overview of the POWERS-model is presented in this report. The model is based on the system dynamics. This means that the decisions (regarding production volume, allocation of the plants, price setting) made by each market player is based on information from the previous period. Optimisation models that are based on the assumption of 'perfect foresight' do not apply to the electricity market. Currently, the model contains a detailed description of the production capacity of the current market players in the Netherlands. Among other purposes the model is suitable for determining an outlook of forward prices on the Dutch electricity market and for analysing the impacts of alternative strategies of the different market players on their profits. 4 refs

  14. Environmental Regulation, Foreign Direct Investment and Green Technological Progress—Evidence from Chinese Manufacturing Industries

    Science.gov (United States)

    Hu, Jiangfeng; Wang, Zhao; Lian, Yuehan; Huang, Qinghua

    2018-01-01

    This study examines the spillover effects of foreign direct investment (FDI) on green technology progress rate (as measured by the green total factor productivity). The analysis utilizes two measures of FDI, labor-based FDI and capital-based FDI, and separately investigates four sets of industry classifications—high/low discharge regulation and high/low emission standard regulation. The results indicate that in the low discharge regulation and low emission standard regulation industry, labor-based FDI has a significant negative spillover effect, and capital-based FDI has a significant positive spillover effect. However, in the high-intensity environmental regulation industry, the negative influence of labor-based FDI is completely restrained, and capital-based FDI continues to play a significant positive green technological spillover effects. These findings have clear policy implications: the government should be gradually reducing the labor-based FDI inflow or increasing stringency of environmental regulation in order to reduce or eliminate the negative spillover effect of the labor-based FDI. PMID:29382112

  15. Environmental Regulation, Foreign Direct Investment and Green Technological Progress—Evidence from Chinese Manufacturing Industries

    Directory of Open Access Journals (Sweden)

    Jiangfeng Hu

    2018-01-01

    Full Text Available This study examines the spillover effects of foreign direct investment (FDI on green technology progress rate (as measured by the green total factor productivity. The analysis utilizes two measures of FDI, labor-based FDI and capital-based FDI, and separately investigates four sets of industry classifications—high/low discharge regulation and high/low emission standard regulation. The results indicate that in the low discharge regulation and low emission standard regulation industry, labor-based FDI has a significant negative spillover effect, and capital-based FDI has a significant positive spillover effect. However, in the high-intensity environmental regulation industry, the negative influence of labor-based FDI is completely restrained, and capital-based FDI continues to play a significant positive green technological spillover effects. These findings have clear policy implications: the government should be gradually reducing the labor-based FDI inflow or increasing stringency of environmental regulation in order to reduce or eliminate the negative spillover effect of the labor-based FDI.

  16. Environmental Regulation, Foreign Direct Investment and Green Technological Progress-Evidence from Chinese Manufacturing Industries.

    Science.gov (United States)

    Hu, Jiangfeng; Wang, Zhao; Lian, Yuehan; Huang, Qinghua

    2018-01-29

    This study examines the spillover effects of foreign direct investment (FDI) on green technology progress rate (as measured by the green total factor productivity). The analysis utilizes two measures of FDI, labor-based FDI and capital-based FDI, and separately investigates four sets of industry classifications-high/low discharge regulation and high/low emission standard regulation. The results indicate that in the low discharge regulation and low emission standard regulation industry, labor-based FDI has a significant negative spillover effect, and capital-based FDI has a significant positive spillover effect. However, in the high-intensity environmental regulation industry, the negative influence of labor-based FDI is completely restrained, and capital-based FDI continues to play a significant positive green technological spillover effects. These findings have clear policy implications: the government should be gradually reducing the labor-based FDI inflow or increasing stringency of environmental regulation in order to reduce or eliminate the negative spillover effect of the labor-based FDI.

  17. Lyndon B. Johnson Space Center (JSC) proposed dual-use technology investment program in intelligent robots

    Science.gov (United States)

    Erikson, Jon D.

    1994-01-01

    This paper presents an overview of the proposed Lyndon B. Johnson Space Center (JSC) precompetitive, dual-use technology investment project in robotics. New robotic technology in advanced robots, which can recognize and respond to their environments and to spoken human supervision so as to perform a variety of combined mobility and manipulation tasks in various sectors, is an obejective of this work. In the U.S. economy, such robots offer the benefits of improved global competitiveness in a critical industrial sector; improved productivity by the end users of these robots; a growing robotics industry that produces jobs and profits; lower cost health care delivery with quality improvements; and, as these 'intelligent' robots become acceptable throughout society, an increase in the standard of living for everyone. In space, such robots will provide improved safety, reliability, and productivity as Space Station evolves, and will enable human space exploration (by human/robot teams). The proposed effort consists of partnerships between manufacturers, universities, and JSC to develop working production prototypes of these robots by leveraging current development by both sides. Currently targeted applications are in the manufacturing, health care, services, and construction sectors of the U.S. economy and in the inspection, servicing, maintenance, and repair aspects of space exploration. But the focus is on the generic software architecture and standardized interfaces for custom modules tailored for the various applications allowing end users to customize a robot as PC users customize PC's. Production prototypes would be completed in 5 years under this proposal.

  18. The deformation of wax patterns and castings in investment casting technology

    Directory of Open Access Journals (Sweden)

    A. Herman

    2012-01-01

    Full Text Available The dimensional accuracy of the final casting of Inconel alloy 738 LC is affected by many aspects. One of them is the choice of method and time of cooling wax model for precision investment casting. The main objective was to study the initial deformation of the complex shape of the casting of the rotor blades. Various approaches have been tested for cooling wax pattern. When wax models are cooling on the air, without clamping in jig for cooling, deviations from the ideal shape of the casting are very noticeable (up to 8 mm and most are in extreme positions of the model. When blade is cooled in fixing jig in water environment, the resulting deviations compared with cooling in air are significantly larger, sometimes up to 10 mm. This itself does not mean that the final shape of the casting is dimensionally more accurate with usage of wax models, which have deviations from the ideal position smaller. Another deformation occurs when shell mould is produced around wax pattern and furthermore deformations emerge while casting of blade is cooling. This paper demonstrates first steps in describing complex process of deformations of Inconel alloy blades produced with investment casting technology by comparing results from thermal imagery, simulations in foundry simulation software ProCAST 2010 and measurements from CNC scanning system Carl Zeiss MC 850. Conclusions are so far not groundbreaking, but it seems deformations of wax pattern and deformations of castings do in some cases cancel each other by having opposite directions. Describing entirely whole process of deformations will help increase precision of blade castings so that models at the beginning and blades in the end are the same.

  19. The Effects of Five Ohio Supreme Court Decisions (1964-1980) Involving the Park Investment Company on Property Assessment and Taxation for Ohio Public Schools.

    Science.gov (United States)

    Morvai, Ronald L.; Dye, Charles M.

    This document reviews the results of a study of five Ohio Supreme Court cases concerning the equalization of property assessments among the various classes of real property: commercial, industrial, residential, and agricultural. Each of the decisions--occurring between 1964 and 1980, and involving the Park Investment Company--is briefly summarized…

  20. R&D Investment in New Technology-Based Firms: Strategic and Entrepreneurial Dynamics and the Impact of Universities

    Science.gov (United States)

    Lynskey, Michael J.

    2016-01-01

    This article examines how two core factors--strategic and entrepreneurial dynamics--influence research and development (R&D) investment in new technology-based firms (NTBFs) using data from a questionnaire survey conducted in Japan. Among the strategic dynamics, it is found that joint R&D projects with universities have a positive,…

  1. Political skill: explaining the effects of nonnative accent on managerial hiring and entrepreneurial investment decisions.

    Science.gov (United States)

    Huang, Laura; Frideger, Marcia; Pearce, Jone L

    2013-11-01

    We propose and test a new theory explaining glass-ceiling bias against nonnative speakers as driven by perceptions that nonnative speakers have weak political skill. Although nonnative accent is a complex signal, its effects on assessments of the speakers' political skill are something that speakers can actively mitigate; this makes it an important bias to understand. In Study 1, White and Asian nonnative speakers using the same scripted responses as native speakers were found to be significantly less likely to be recommended for a middle-management position, and this bias was fully mediated by assessments of their political skill. The alternative explanations of race, communication skill, and collaborative skill were nonsignificant. In Study 2, entrepreneurial start-up pitches from national high-technology, new-venture funding competitions were shown to experienced executive MBA students. Nonnative speakers were found to have a significantly lower likelihood of receiving new-venture funding, and this was fully mediated by the coders' assessments of their political skill. The entrepreneurs' race, communication skill, and collaborative skill had no effect. We discuss the value of empirically testing various posited reasons for glass-ceiling biases, how the importance and ambiguity of political skill for executive success serve as an ostensibly meritocratic cover for nonnative speaker bias, and other theoretical and practical implications of this work. (c) 2013 APA, all rights reserved.

  2. Real-time data collection technologies: Enhanced decision-making and cost savings January, 2005

    International Nuclear Information System (INIS)

    Rust, T.L.; Vu, H.Q.

    2006-01-01

    Hand-held computers, Geographic Information Systems (GIS), and wireless communication devices are rapidly replacing traditional methods for field monitoring and data collection. Although pencil and paper remain important means of data transcription, field technicians can now use Personal Digital Assistants (PDA) to record their field notes and monitoring data. As data are uploaded wirelessly from the field, decision-makers can view realtime reports and maps that identify sample locations and monitoring results. The combination of PDAs, wireless communications, and web-based GIS provides field personnel and decision-makers many benefits throughout the life cycle of a project, including improved data consistency, real-time transfer of data from field locations to centralized databases, input validation, elimination of transcription errors, and cost savings. Concerns have been expressed however, about investing in hardware, software, and training for a new technology. This paper, based on several years of experience using wireless technologies for dozens of projects, is focused specifically on two case studies. The first case study is a large lead removal site in the Midwest at which real-time data collection technologies were used throughout the project to collect thousands of data points. The second is the Hurricane Katrina/Rita emergency response requiring rapid data collection under extraordinary circumstances. At both sites, the use of real-time data collection technologies significantly improved the data management process which reduced overall costs and increased efficiency. These results could not have been achieved using traditional data collection procedures. The oral presentation will focus on the advantages and disadvantages of the real-time data collection technologies, lessons learned, and planning considerations. A live demonstration, following a typical data collection scenario in which data are collected and plotted on a GIS map in near real

  3. Advanced intelligent computational technologies and decision support systems

    CERN Document Server

    Kountchev, Roumen

    2014-01-01

    This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

  4. Investments on a Rugged Landscape: The Effect of Investor Population, Network Structure, and Complexity on Technological Change

    DEFF Research Database (Denmark)

    Hain, Daniel; Mas Tur, Elena

    In this paper, we investigate which characteristics of technological and financial systems might be conductive for technological change. We are particularly in how the interplay between capabilities, resources and networks among investors with the complexity and maturity of technologies affect...... rates of technological change and diversity, and prevents technologies from getting stuck in the financial “valley of death”. In a next step, we introduce investor networks and allow agents to co-invest together in order to pool financial resources and get access to their forecasting capability...... in a specific technological domain. We compare which investor network structures lead to the high rates of technological change and diversity on a given technology landscape. Results from a Monte Carlo simulation indicate networked investor population to outperform the case of isolated stand-alone investors...

  5. XD Metrics on Demand Value Analytics: Visualizing the Impact of Internal Information Technology Investments on External Funding, Publications, and Collaboration Networks

    Directory of Open Access Journals (Sweden)

    Olga Scrivner

    2018-01-01

    Full Text Available Many universities invest substantial resources in the design, deployment, and maintenance of campus-based cyberinfrastructure (CI. To justify the expense, it is important that university administrators and others understand and communicate the value of these internal investments in terms of scholarly impact. This paper introduces two visualizations and their usage in the Value Analytics (VA module for Open XD metrics on demand (XDMoD, which enable analysis of external grant funding income, scholarly publications, and collaboration networks. The VA module was developed by Indiana University’s (IU Research Technologies division, Pervasive Technology Institute, and the CI for Network Science Center (CNS, in conjunction with the University at Buffalo’s Center for Computational Research. It provides diverse visualizations of measures of information technology (IT usage, external funding, and publications in support of IT strategic decision-making. This paper details the data, analysis workflows, and visual mappings used in two VA visualizations that aim to communicate the value of different IT usage in terms of NSF and NIH funding, resulting publications, and associated research collaborations. To illustrate the feasibility of measuring IT values on research, we measured its financial and academic impact from the period between 2012 and 2017 for IU. The financial return on investment (ROI is measured in terms of IU funding, totaling $339,013,365 for 885 NIH and NSF projects associated with IT usage, and the academic ROI constitutes 968 publications associated with 83 of these NSF and NIH awards. In addition, the results show that Medical Specialties, Brain Research, and Infectious Diseases are the top three scientific disciplines ranked by the number of publications during the given time period.

  6. The value from investments in health information technology at the U.S. Department of Veterans Affairs.

    Science.gov (United States)

    Byrne, Colene M; Mercincavage, Lauren M; Pan, Eric C; Vincent, Adam G; Johnston, Douglas S; Middleton, Blackford

    2010-04-01

    We compare health information technology (IT) in the Department of Veterans Affairs (VA) to norms in the private sector, and we estimate the costs and benefits of selected VA health IT systems. The VA spent proportionately more on IT than the private health care sector spent, but it achieved higher levels of IT adoption and quality of care. The potential value of the VA's health IT investments is estimated at $3.09 billion in cumulative benefits net of investment costs. This study serves as a framework to inform efforts to measure and calculate the benefits of federal health IT stimulus programs.

  7. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    International Nuclear Information System (INIS)

    Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; Hirohisa, Aki; Lai, Judy

    2009-01-01

    The US Department of Energy has launched the Zero-Net-Energy (ZNE) Commercial Building Initiative (CBI) in order to develop commercial buildings that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge energy-efficient technologies and meet their remaining energy needs through on-site renewable energy generation. We examine how such buildings may be implemented within the context of a cost- or carbon-minimizing microgrid that is able to adopt and operate various technologies, such as photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive/demand-response technologies. We use a mixed-integer linear program (MILP) that has a multi-criteria objective function: the minimization of a weighted average of the building's annual energy costs and carbon/CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the CBI. Using a nursing home in northern California and New York with existing tariff rates and technology data, we find that a ZNE building requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve ZNE. For comparison, we analyze a nursing home facility in New York to examine the effects of a flatter tariff structure and different load profiles. It has trouble reaching ZNE status and its load reductions as well as efficiency measures need to be more effective than those in the CA case

  8. Fixed capital investments for the uranium soils integrated demonstration soil treatment technologies

    Energy Technology Data Exchange (ETDEWEB)

    Douthat, D.M.; Armstrong, A.Q. [Oak Ridge National Lab., TN (United States); Stewart, R.N. [Univ. of Tennessee, Knoxville, TN (United States)

    1995-05-01

    The development of a nuclear industry in the United States required mining, milling, and fabricating a large variety of uranium products. One of these products was purified uranium metal which was used in the Savannah River and Hanford Site reactors. Most of this feed material was produced at the United States Department of Energy (DOE) facility formerly called the Feed Materials Production Center at Fernald, Ohio. During operation of this facility, soils became contaminated with uranium from a variety of sources. To address remediation and management of uranium-contaminated soils at sites owned by DOE, the Uranium Soils Integrated Demonstration (USID) Program was formed to evaluate and compare the versatility, efficiency, and economics of various technologies that may be combined into systems designed to characterize and remediate uranium contaminated soils. The USID Program has five major tasks in developing and demonstrating these technologies. Each must be able to (1) characterize the uranium in soil, (2) decontaminate or remove uranium from soil, (3) treat or dispose of resulting waste streams, (4) meet necessary state and federal regulations, and (5) meet performance assessment objectives. The role of the performance assessment objectives is to provide the information necessary to conduct evaluations of the technologies. These performance assessments provide the basis for selecting the optimum system for remediation of large areas contaminated with uranium. One of the performance assessment tasks is to address the economics of full-scale implementation of soil treatment technologies developed by the USID Program. The cost of treating contaminated soil is one of the criteria used in the decision-making process for selecting remedial alternatives.

  9. Fixed capital investments for the uranium soils integrated demonstration soil treatment technologies

    International Nuclear Information System (INIS)

    Douthat, D.M.; Armstrong, A.Q.; Stewart, R.N.

    1995-05-01

    The development of a nuclear industry in the United States required mining, milling, and fabricating a large variety of uranium products. One of these products was purified uranium metal which was used in the Savannah River and Hanford Site reactors. Most of this feed material was produced at the United States Department of Energy (DOE) facility formerly called the Feed Materials Production Center at Fernald, Ohio. During operation of this facility, soils became contaminated with uranium from a variety of sources. To address remediation and management of uranium-contaminated soils at sites owned by DOE, the Uranium Soils Integrated Demonstration (USID) Program was formed to evaluate and compare the versatility, efficiency, and economics of various technologies that may be combined into systems designed to characterize and remediate uranium contaminated soils. The USID Program has five major tasks in developing and demonstrating these technologies. Each must be able to (1) characterize the uranium in soil, (2) decontaminate or remove uranium from soil, (3) treat or dispose of resulting waste streams, (4) meet necessary state and federal regulations, and (5) meet performance assessment objectives. The role of the performance assessment objectives is to provide the information necessary to conduct evaluations of the technologies. These performance assessments provide the basis for selecting the optimum system for remediation of large areas contaminated with uranium. One of the performance assessment tasks is to address the economics of full-scale implementation of soil treatment technologies developed by the USID Program. The cost of treating contaminated soil is one of the criteria used in the decision-making process for selecting remedial alternatives

  10. Employee Perception of the Impact of Information Technology Investment in Organisations: a survey of the hotel industry

    Directory of Open Access Journals (Sweden)

    Bruce Lo

    2000-05-01

    Full Text Available To improve their operational efficiency and to maintain their competitiveness in the market place many organisations continue to invest substantially in their Information Technology (IT capability. But how do the employees themselves view the impact and the value of IT investment? This paper considers this question in the context of the hospitality industry. More specifically, it investigates the different perception of hotel employees on the impact of organisational IT investment on (a IT usage by employees, (b employee satisfaction with the IT systems, (c changes in the level of employee performance, and (d organisational performance of the hotel. 945 hotel employees in Bali, Indonesia were surveyed to assess their perception of the organisational impact of IT. Factor analysis, analysis of variance and regression analysis were performed on the data to examine the' range of employee viewpoints. Results showed that there were significant differences among the employees' perception with respect to age, educational level, position in the hotel, and individual income. These findings suggest that even senior management may regard the investment in IT is worthwhile, there may be a divergence of opinion among the employees as to what are the real benefits of IT. In order to fully leverage the potential of their IT investment, managers should pay particular attention to shaping the views of the employees who ultimately determine whether the IT capabilities in an organisation are put to use.

  11. ANALYSIS AND COMPARISON OF EXISTING DECISION SUPPORT TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    V. A. Rybak

    2016-01-01

    Full Text Available The article presents the results of an analytical review and comparison of the most common managerial decision support technologies: the analytic hierarchy method, neural networks, fuzzy set theory, genetic algorithms and neural-fuzzy modeling. The advantages and disadvantages of these approaches are shown. Determine the scope of their application. It is shown that the hierarchy analysis method works well with the full initial information, but due to the need for expert comparison of alternatives and the selection of evaluation criteria has a high proportion of subjectivity. For problems in the conditions of risk and uncertainty prediction seems reasonable use of the theory of fuzzy sets and neural networks. It is also considered technology collective decision applied both in the general election, and the group of experts. It reduces the time for conciliation meetings to reach a consensus by the preliminary analysis of all views submitted for the plane in the form of points. At the same time the consistency of opinion is determined by the distance between them.

  12. Multiple criteria decision analysis for health technology assessment.

    Science.gov (United States)

    Thokala, Praveen; Duenas, Alejandra

    2012-12-01

    Multicriteria decision analysis (MCDA) has been suggested by some researchers as a method to capture the benefits beyond quality adjusted life-years in a transparent and consistent manner. The objectives of this article were to analyze the possible application of MCDA approaches in health technology assessment and to describe their relative advantages and disadvantages. This article begins with an introduction to the most common types of MCDA models and a critical review of state-of-the-art methods for incorporating multiple criteria in health technology assessment. An overview of MCDA is provided and is compared against the current UK National Institute for Health and Clinical Excellence health technology appraisal process. A generic MCDA modeling approach is described, and the different MCDA modeling approaches are applied to a hypothetical case study. A comparison of the different MCDA approaches is provided, and the generic issues that need consideration before the application of MCDA in health technology assessment are examined. There are general practical issues that might arise from using an MCDA approach, and it is suggested that appropriate care be taken to ensure the success of MCDA techniques in the appraisal process. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

  13. EPA'S ENVIRONMENTAL TECHNOLOGIES

    Science.gov (United States)

    The use of innovative technology is impeded by the lack of independent, credible information as to how the technology performs. Such data is needed by technology buyers and regulatory decision makers to make informed decisions on technologies that represent good financial invest...

  14. Decision-making for new technology : A multi-actor, multi-objective method

    NARCIS (Netherlands)

    Cunningham, S.W.; van der Lei, T.E.

    2007-01-01

    Technology managers increasingly face problems of group decision. The scale and complexity of research, development and alliance efforts in emerging fields of technology mandate a correspondingly sophisticated form of group coordination. Information technology, biotechnology and nanotechnology are

  15. Digital Decisions: Educators, Caregivers and Parents Must Be well Informed When Making Decisions about Children's Use of Technology and Media

    Science.gov (United States)

    Pepper, Stephanie Puckett

    2015-01-01

    Increasingly, technology plays an important role in the daily lives of children, both at home and at school. Making informed decisions about the wise application and frequency of technology and media use can be both challenging and overwhelming for parents, caregivers and educators. Many issues surround the unwise use of technology and media by…

  16. Renewable energy investment: Policy and market impacts

    International Nuclear Information System (INIS)

    Reuter, Wolf Heinrich; Szolgayová, Jana; Fuss, Sabine; Obersteiner, Michael

    2012-01-01

    Highlights: ► Feedback of decisions to the market: large companies can have an impact on prices in the market. ► Multiple uncertainties: analysis of uncertainties emanating from both markets and environment. ► Policy analysis: impact of uncertainty about the durability of feed-in tariffs. -- Abstract: The liberalization of electricity markets in recent years has enhanced competition among power-generating firms facing uncertain decisions of competitors and thus uncertain prices. At the same time, promoting renewable energy has been a key ingredient in energy policy seeking to de-carbonize the energy mix. Public incentives for companies to invest in renewable technologies range from feed-in tariffs, to investment subsidies, tax credits, portfolio requirements and certificate systems. We use a real options model in discrete time with lumpy multiple investments to analyze the decisions of an electricity producer to invest into new power generating capacity, to select the type of technology and to optimize its operation under price uncertainty and with market effects. We account for both the specific characteristics of renewables and the market effects of investment decisions. The prices are determined endogenously by the supply of electricity in the market and by exogenous electricity price uncertainty. The framework is used to analyze energy policy, as well as the reaction of producers to uncertainty in the political and regulatory framework. In this way, we are able to compare different policies to foster investment into renewables and analyze their impacts on the market.

  17. Towards a new understanding of technological decision-making

    International Nuclear Information System (INIS)

    Bombaerts, G.

    2005-01-01

    The safety assurance of technological developments is becoming one of the most important tasks of technology. The limitation and the fallibility of technology are core issues in the attempt to guarantee safety. It often happens that scientific facts, both in general and safety facts in particular, are refuted and revised. This demonstrates that science can learn from its mistakes. It also puts forward the question of the status of scientific facts. How is it possible that 'incorrect' scientific facts could in some instances convince almost an entire scientific community in the past? Are the facts these days waiting for the same fate tomorrow? For nuclear waste repositories and their surroundings, it is important to know what will remain from current safety assessments within a few hundred years. This brings us to the core of our trans disciplinary research: which meaning can we attribute to the safety assessments of scientists and technologists? The main objectives of work performed by SCK-CEN are to describe how facts are determined within small groups during a decision-making process. And as a consequence hereof to show why scientists and technologists accept or refute these facts. The general objectives are applied to safety facts in radioactive waste management

  18. Value-creating investment strategies to manage risk from structural market uncertainties: Switching and compound options in (V)HTR technologies - HTR2008-58157

    International Nuclear Information System (INIS)

    Lauferts, U.; Halbe, C.; Van Heek, A.

    2008-01-01

    To measure the value of a technology investment under uncertainty with standard techniques like net present value (NPV) or return on investment (ROI) will often uncover the difficulty to present convincing business case. Projected cash flows are inefficient or the discount rate chosen to compensate for the risk is so high, that it is disagreeable to the investor s requirements. Decision making and feasibility studies have to look beyond traditional analysis to reveal the strategic value of a technology investment. Here, a Real Option Analysis (ROA) offers a powerful alternative to standard discounted cash-flow (DCF) methodology by risk-adjusting the cash flow along the decision path rather than risk adjusting the discount rate. Within the GEN IV initiative attention is brought not only towards better sustainability, but also to broader industrial application and improved financing. Especially the HTR design is full of strategic optionalities: The high temperature output facilitates penetration into other non-electricity energy markets like industrial process heat applications and the hydrogen market. The flexibility to switch output in markets with multi-source uncertainties reduces downside risk and creates an additional value of over 50% with regard to the Net Present Value without flexibility. The supplement value of deploying a modular (V)HTR design adds over 100% to the project value using real option evaluation tools. Focus of this paper was to quantify the strategic value that comes along a) with the modular design; a design that offers managerial flexibility adapting a step-by-step investment strategy to the actual market demand and b) with the option to switch between two modes of operation, namely electricity and hydrogen production. We will demonstrate that the effect of uncertain electricity prices can be dampened down with a modular HTR design. By using a real option approach, we view the project as a series of compound options - each option depending

  19. The Role of financial statement in the investment decisions of a micro finance institution (MFI) : Bamenda Police Cooperative Credit Union Limited, Yaounde (BAPCCUL Yaounde)

    OpenAIRE

    Suh, Collins

    2017-01-01

    Today, it is possible to present financial statements in many ways. This makes it difficult to compare the financial statement of organisations within the same geographical area to suit the report of investors. For example, some organisations choose to provide a significant line of item detail, while others do not. By creating a single standard, we could provide investment decision makers with an improved starting point. This study therefore investigates the role of financial statements on in...

  20. FACTORS INFLUENCING DECISIONS FOR USING OUTSIDE FUNDS FOR FARM INVESTMENTS AND PROPRIETOR WITHDRAWALS BY SMALL-SCALE FARMERS IN ABIA STATE, NIGERIA

    Directory of Open Access Journals (Sweden)

    Chriso O. EMEROLE

    2013-08-01

    Full Text Available This study on factors influencing decisions for using outside funds for Farm investments and for proprietor withdrawals was carried out among rural small-scale farm households in Abia state, Nigeria. A cross-sectional survey of ninety (90 rural farm households of multi-type (varied enterprises was carried out using cluster random sampling technique in three communities, each chosen from one of the three agricultural zones of the state. Results indicated rural household level variables that positively influenced decisions to source farm investment fund to include level of education, gender, membership of cooperative society, interest charge, land acquisition method, and ease of getting loan. Other factors that negatively influenced decisions include farming as major occupation, household savings, household size, and distance of farmers’ home to source of credit. Proprietor withdrawal decisions were positively influenced by household level variables like taking farming as major occupation, payment of school fees for children of farmers, and amount of credit so far repaid by a farm household. Other factors namely household size, being member of cooperative society or savings group, interest charges on loan, off-farm income, and household savings had negative influences on proprietor withdrawal decisions. We recommended that small-scale farmers should not borrow their start-up capital from outside their households but as their farm businesses stabilize, they could decide to take loans from outside to cover their working capital and/or expand their farms and be prepared to repay such loans according to contractual agreements.

  1. The impact of DOE building technology energy efficiency programs on U.S. employment, income, and investment

    International Nuclear Information System (INIS)

    Scott, Michael J.; Roop, Joseph M.; Schultz, Robert W.; Anderson, David M.; Cort, Katherine A.

    2008-01-01

    The U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) analyzes the macroeconomic impacts of its programs that are designed to increase the energy efficiency of the U.S. residential and commercial building stock. The analysis is conducted using the Impact of Sector Energy Technologies (ImSET) model, a special-purpose 188-sector input-output model of the U.S. economy designed specifically to evaluate the impacts of energy efficiency investments and saving. For the analysis described in the paper, ImSET was amended to provide estimates of sector-by-sector capital requirements and investment. In the scenario of the Fiscal Year (FY) 2005 Building Technologies (BT) program, the technologies and building practices being developed and promoted by the BT program have the potential to save about 2.9 x 10 15 Btu in buildings by the year 2030, about 27% of the expected growth in building energy consumption by the year 2030. The analysis reported in the paper finds that, by the year 2030, these savings have the potential to increase employment by up to 446,000 jobs, increase wage income by $7.8 billion, reduce needs for capital stock in the energy sector and closely related supporting industries by about $207 billion (and the corresponding annual level of investment by $13 billion), and create net capital savings that are available to grow the nation's future economy

  2. Should France invest in new nuclear technology? The enhancement of the EPR project using 'real option' method

    International Nuclear Information System (INIS)

    Epaulard, A.; Gallon, St.

    2000-01-01

    The mathematical tools developed to enhance financial options can also be used to calculate the economics value of investment projects which offer flexibility but whose return is uncertain (like options offered on the stock exchange). In this article, an enhancement method of this kind is applied to a construction project (in 2000) for an EPR nuclear prototype. This prototype will make it possible to use EPR to renew the French electrical infrastructure in 2020 (flexibility), but its economic value will depend upon competitiveness vis-a-vis other production methods available at this time (hence an uncertain return). We demonstrate that investing in EPR technology in 2000 will provide sufficient flexibility in 2020 to be considered profitable, even though it is improbable that the EPR technology will be used at the end of this period. The investment agreed in 2000 to expand EPR technology therefore effectively has the role of an option, or of an insurance policy (guaranteeing against the risk that traditional electricity production methods will be expensive in 2020). (authors)

  3. Extending the horizons advances in computing, optimization, and decision technologies

    CERN Document Server

    Joseph, Anito; Mehrotra, Anuj; Trick, Michael

    2007-01-01

    Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high caliber of research being conducted by members of the INFORMS Computing Society. EXTENDING THE HORIZONS: Advances in Computing, Optimization, and Decision Technologies is a volume that presents the latest, leading research in the design and analysis of algorithms, computational optimization, heuristic search and learning, modeling languages, parallel and distributed computing, simulation, computational logic and visualization. This volume also emphasizes a variety of novel applications in the interface of CS, AI, and OR/MS.

  4. Optimal investment and location decisions of a firm in a flood risk area using Impulse Control Theory

    Science.gov (United States)

    Grames, Johanna; Grass, Dieter; Kort, Peter; Prskawetz, Alexia

    2017-04-01

    Flooding events can affect businesses close to rivers, lakes or coasts. This paper provides a partial equilibrium model which helps to understand the optimal location choice for a firm in flood risk areas and its investment strategies. How often, when and how much are firms willing to invest in flood risk protection measures? We apply Impulse Control Theory to solve the model analytically and develop a continuation algorithm to solve the model numerically. Firms always invest in flood defense. The investment increases the higher the flood risk and the more firms also value the future, i.e. the more sustainable they plan. Investments in production capital follow a similar path. Hence, planning in a sustainable way leads to economic growth. Sociohydrological feedbacks are crucial for the location choice of the firm, whereas different economic situations have an impact on investment strategies. If flood defense is already present, e.g. built up by the government, firms move closer to the water and invest less in flood defense, which allows firms to accrue higher expected profits. Firms with a large initial production capital surprisingly try not to keep their market advantage, but rather reduce flood risk by reducing exposed production capital.

  5. Considerations in Duplex Investment.

    Science.gov (United States)

    Wright, Arthur; Goen, Tom

    Problems of duplex investment are noted in the introduction to this booklet designed to provide a technique by which the investment decision can be approached, develop estimates of typical costs and returns under differing conditions, and encourage investors to analyze objectives and conditions before the decision to buy or build is made. A…

  6. Optimal Responsible Investment

    DEFF Research Database (Denmark)

    Jessen, Pernille

    The paper studies retail Socially Responsible Investment and portfolio allocation. It extends conventional portfolio theory by allowing for a personal value based investment decision. When preferences for responsibility enter the framework for mean-variance analysis, it yields an optimal...... responsible investment model. An example of index investing illustrates the theory. Results show that it is crucial for the responsible investor to consider portfolio risk, expected return, and responsibility simultaneously in order to obtain an optimal portfolio. The model enables responsible investors...

  7. The politics of large infrastructure investment decision-making : the case of the second avenue subway case study.

    Science.gov (United States)

    2013-11-01

    Over the past few decades, urbanization and economic growth have intensified the need for more efficient urban and : regional transportation, including the expansion and reorganization of existing transportation networks. Given such : huge investment...

  8. Regional decision-making and competitive funding : metropolitan planning organizations and the transportation investments generating economic recovery program.

    Science.gov (United States)

    2014-08-01

    Transportation benefits and economic stimulus were behind the creation of the Transportation Investment Generating Economic Recovery (TIGER) program in 2009. New transportation funding programs exist in a landscape of other programs, and in addition ...

  9. Historical Analysis of Investment in Solar Energy Technologies (2000-2007)

    Energy Technology Data Exchange (ETDEWEB)

    Jennings, C. E.; Margolis, R. M.; Bartlett, J. E.

    2008-12-01

    The solar energy industry experienced unprecedented growth in the eight years from 2000 to 2007, with explosive growth occurring in the latter half of this period. From 2004 to 2007, global private sector investment in solar energy increased by almost twenty-fold, marking a dramatic increase in the short span of four years. This paper examines the timing, magnitude, focus and location of various forms of investment in the solar energy sector. It analyzes their trends to provide an understanding of the growth of the solar industry during the past eight years and to identify emerging themes in this rapidly evolving industry.

  10. Development Finance Institutions’ Effect on The Fund Manager’s Investment Decisions : Balancing Financial Performance Goals and Development Impact Objectives

    OpenAIRE

    Adolfssson, Alexander; Åström, Marie

    2016-01-01

    Development Finance Institutions (DFIs) have played a crucial role in moving socially responsibility considerations up on the private equity industry’s agenda. DFIs add a development impact criterion to traditional financial performance goals in the investment industry and play a catalytic role by mobilizing other investors. The gap in research regarding DFIs implications and significance in the investment community from a SRI perspective is evident. The development impact objective introduce...

  11. DEFENSE SCIENCE AND TECHNOLOGY Adopting Best Practices Can Improve Innovation Investments and Management

    Science.gov (United States)

    2017-06-01

    Defense Technology Development: Technology Transition Programs Support Military Users, but Opportunities Exist to Improve Measurement of Outcomes, GAO-13... LTE ), for cellular wireless communication applications. They also develop and commercialize numerous technologies used in handsets and tablets. They...17-499 Note: Technology Readiness Levels (TRL) are a tool that DOD, among others, uses to assess technology maturity. TRLs are measured on a scale

  12. A research proposal for investigating the effect of foreign direct investments on technology transfer in the Arabian Gulf (GCC)

    Science.gov (United States)

    Tahat, Kaher; Whelan, Susan

    2015-02-01

    In terms of hosting countries perspectives, Foreign Direct Investments (FDI) could have a positive effect on its developing economy, by transferring, both: resources of finance in addition to the international technology (ITT) (Choi, 1997). Multinational companies (MNC) are engaging in the transferring of the new technology, internally as well as licensing older one; they create "Spillover" (Knowledge) for facilitating the transfer of ITT in line with geographical location, period of investment, and the type of industry. Furthermore, the effect of these spillovers depends on the level of transferring this knowledge based on FDI attraction policies of the host country (Huang, 2009). Considering the Arabian Gulf council countries (GCC) as "FDI- rich hosting countries", who are not seeking for financial resources, i.e., they already have a huge financial capacity for funding their different projects, even though FDI has been powerfully presented in GCC . They saw noticeable increases in FDI inflows beginning in 2002, (www.unctad.org.fdistatistics). Therefore by assumption, FDI inflows to GCC could positively affect their economic growth through transferring the advanced technology, in order to build up their level of technology (productivity growth) as well as their economic diversification strategy. If so how this Knowledge could be diffused and measured in order to maximize its benefit and enhancing the productivity growth, and what is the current status of (GCC).

  13. Investment under Uncertain Climate Policy

    DEFF Research Database (Denmark)

    Barradale, Merrill Jones

    2014-01-01

    This paper introduces the concept of payment probability as an important component of carbon risk (the financial risk associated with CO2 emissions under uncertain climate policy). In modeling power plant investment decisions, most existing literature uses the expected carbon price (e.g., the price...... actually be faced in the case of a particular investment. This concept helps explain both the surge of activity in 2005–2006 and the subsequent decline in interest in coal-fired power plant development in the U.S. The data for this case study comes from an extensive online survey of 700 U.S. energy...... design better incentives for investing in low-carbon technologies...

  14. Residential Customer Enrollment in Time-based Rate and Enabling Technology Programs: Smart Grid Investment Grant Consumer Behavior Study Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Todd, Annika [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cappers, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Goldman, Charles [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-05-01

    The U.S. Department of Energy’s (DOE’s) Smart Grid Investment Grant (SGIG) program is working with a subset of the 99 SGIG projects undertaking Consumer Behavior Studies (CBS), which examine the response of mass market consumers (i.e., residential and small commercial customers) to time-varying electricity prices (referred to herein as time-based rate programs) in conjunction with the deployment of advanced metering infrastructure (AMI) and associated technologies. The effort presents an opportunity to advance the electric industry’s understanding of consumer behavior.

  15. Forest resources, government policy, and investment location decisions of the forest products industry in the southern United States

    Science.gov (United States)

    Changyou Sun; Daowei Zhang

    2010-01-01

    In this article, the results of an initial attempt to estimate the effects of state attributes on plant location and investment expenditure were presented for the forest products industry in the southern United States. A conditional logit model was used to analyze new plant births, and a time-series cross-section model to assess the total capital expenditure....

  16. Exploitation, exploration, and how learning affects strategic intent in multinational enterprises' foreign direct investment decisions: A commentary essay

    NARCIS (Netherlands)

    Kamal, F.; Englis-Danskin, Paula

    2012-01-01

    Research on foreign direct investment is a rich vein of inquiry in international business and management literature. Scholars explore various aspects of FDI including the reasons for location selection. Chen and Yeh's research is in that tradition. Under the title of “Re-examining location

  17. Procedural Decision-Making Experiences among Informational Technology Professionals at a Midwestern Fortune 500 Company

    Science.gov (United States)

    McKee, Shari Turner

    2013-01-01

    Between 2002 and 2012, information technology (IT) procedural decisions related to technology, fraud, bias, greed, and misleading information increased cost by more than $44 billion. The purpose of this phenomenological study was to explore IT professionals' experiences of IT procedural decisions. The research questions were intended to learn from…

  18. A decision technology system for health care electronic commerce.

    Science.gov (United States)

    Forgionne, G A; Gangopadhyay, A; Klein, J A; Eckhardt, R

    1999-08-01

    Mounting costs have escalated the pressure on health care providers and payers to improve decision making and control expenses. Transactions to form the needed decision data will routinely flow, often electronically, between the affected parties. Conventional health care information systems facilitate flow, process transactions, and generate useful decision information. Typically, such support is offered through a series of stand-alone systems that lose much useful decision knowledge and wisdom during health care electronic commerce (e-commerce). Integrating the stand-alone functions can enhance the quality and efficiency of the segmented support, create synergistic effects, and augment decision-making performance and value for both providers and payers. This article presents an information system that can provide complete and integrated support for e-commerce-based health care decision making. The article describes health care e-commerce, presents the system, examines the system's potential use and benefits, and draws implications for health care management and practice.

  19. Carbon capture and storage-Investment strategies for the future?

    International Nuclear Information System (INIS)

    Rammerstorfer, Margarethe; Eisl, Roland

    2011-01-01

    The following article deals with real options modeling for investing into carbon capture and storage technologies. Herein, we derive two separate models. The first model incorporates a constant convenience yield and dividend for the investment project. In the second model, the convenience yield is allowed to follow a mean reverting process which seems to be more realistic, but also increases the model's complexity. Both frameworks are to be solved numerically. Therefore, we calibrate our model with respect to empirical data and provide insights into the models' sensitivity toward the chosen parameter values. We found that given the recently observable prices for carbon dioxide, an investment into C O2-storage facilities is not profitable. - Highlights: → Real options modeling for investing into carbon capture and storage technologies. → Given the recently observable prices for carbon dioxide, an investment into CO 2 -storage facilities is not profitable. → Investment decision is mainly affected by risk free rate and volatility.

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

    Science.gov (United States)

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

    2016-01-01

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

  1. Spatial policy, planning and infrastructure investment: lessons from urban simulations in three South African cities

    CSIR Research Space (South Africa)

    Coetzee, M

    2014-05-01

    Full Text Available from work conducted as part of a Department of Science and Technology (DST)-funded Integrated Planning and Development Modelling (IPDM) project, the article argues that decisions about infrastructure investment in South African metropolitan areas ought...

  2. Oligopolistic concurrence and investment: application to electricity markets

    International Nuclear Information System (INIS)

    Meunier, G.

    2008-12-01

    This research aims at analysing investment strategies of firms which are in an oligopolistic situation. After a brief description of the physical characteristics of an electric system, the author describes the reforms and defines the problematic of an investment in electricity production within markets in imperfect concurrence. In a first part, the author analyses the heterogeneity (either exogenous or endogenous) and technology choices of oligopolistic firms. In case of an exogenous heterogeneity, he studies the impact of the number of firms on investment decisions. In the second part, the author examines the regulations introduced in industries in imperfect concurrence: electricity production by a public firm and interaction between emission allowance market and investment

  3. Impact of Climate Change. Policy Uncertainty in Power Investment

    International Nuclear Information System (INIS)

    Blyth, W.; Yang, M.

    2006-10-01

    Climate change policies are being introduced or actively considered in all IEA member countries, changing the investment conditions and technology choices in the energy sector. Many of these policies are at a formative stage, and policy uncertainty is currently high. The objective of this paper is to quantify the impacts of climate change policy on power investment. We use Real Options Analysis approach in the study and model uncertain carbon price and fuel price with stochastic variables. The analysis compares the effects of climate policy uncertainty with fuel price uncertainty, showing the relative importance of these sources of risk for different technologies. This paper considers views on the importance of climate policy risk, how it is managed, and how it might affect investment behaviour. The implications for policymakers are analyzed, allowing the key messages to be transferred into policy design decisions. We found that in many cases, the dominant risks facing base-load generation investment decisions will be market risks associated with electricity and fuel prices. However, under certain conditions and for some technologies, climate policy uncertainty can be an important risk factor, creating an incentive to delay investment and raising investment thresholds. This paper concludes that government climate change policies to promote investment in low-carbon technologies should aim to overcome this incentive to delay by sending long-term investment signals backed up by strengthened international policy action to enhance domestic policy credibility

  4. Misplaced Inventory and Lead-Time in the Supply Chain: Analysis of Decision-Making on RFID Investment with Service Level

    Directory of Open Access Journals (Sweden)

    Li-Hao Zhang

    2014-01-01

    Full Text Available Radio-frequency identification (RFID, as the key technology of Internet of Things (IoT, has been hailed as a major innovation to solve misplaced inventory and reduce lead-time. Many retailers have been pushing their suppliers to invest this technology. However, its associated costs seem to prohibit its widespread application. This paper analyzes the situation of service level in a retail supply chain, which has resulted from misplaced inventory and lead-time. By newsvendor model, we analyze the difference between with- and without-RFID technologies in service level of centralized and decentralized supply chains, respectively. Then with different service levels, we determine the tag cost thresholds at which RFID technology investment becomes profitable in centralized and decentralized supply chains, respectively. Furthermore, we apply a linear transfer payment coefficient strategy to coordinate with the decentralized supply chain. It is found that whether the adoption of RFID technology improves the service level depends on the cost of RFID tag in the centralized system, but it improves the service level in the decentralized system when only the supplier bears the cost of RFID tag. Moreover, the same cost thresholds of RFID tag with different service levels exist in both the centralized and the decentralized cases.

  5. Real Options Analysis of Electricity Investments

    Energy Technology Data Exchange (ETDEWEB)

    Heggedal, Ane Marte

    2012-07-01

    This thesis utilizes real options analysis for evaluating investment opportunities in the electricity sector. It also formally tests how investors in hydropower plants have included uncertainty when considering their investment opportunities. The real options method applies financial options theory to quantify the value of management flexibility and is chosen due to three important characteristics of investments in the electricity sector. First; the investment is completely or partially irreversible, second; the investor can choose when to invest in the facility, and third; there is uncertainty in several factors affecting the cash flows of the investments. Factors of uncertainty include the development of electricity prices, policies, technological advances, and macroeconomics measures.Four papers are included in this thesis. Paper 1, Upgrading hydropower plants with storage: Timing and capacity choice, presents a valuation framework for deciding when to upgrade an existing hydropower plant and which capacity to choose. The second paper, Transmission capacity between Norway and Germany: A real options analysis, sheds light on when two electricity markets, in this case Norway and Germany, should be connected through a sub sea cable. The investor can choose when to invest and the capacity of the cable, and may also choose to invest sequentially. Paper 3, Optimal timing and capacity choice for pumped hydropower storage, investigates when investment in a pumped hydropower plant with storage should be undertaken and what the capacity of the facility should be. Whereas the three first papers investigate investment opportunities, Paper 4, Uncertain climate policy decisions and investment timing: Evidence from small hydropower plants, studies when investors in small hydropower plants chose to invest. The analyses disclose whether the net present value approach or the real options method best describe the investment decisions made by the investors. Viewing investment

  6. Optimal Cycle Time and Preservation Technology Investment for Deteriorating Items with Price-sensitive Stock-dependent Demand Under Inflation

    Science.gov (United States)

    Shah, Nita H.; Shah, Arpan D.

    2014-04-01

    The article analyzes economic order quantity for the retailer who has to handle imperfect quality of the product and the units are subject to deteriorate at a constant rate. To control deterioration of the units in inventory, the retailer has to deploy advanced preservation technology. Another challenge for the retailer is to have perfect quality product. This requires mandatory inspection during the production process. This model is developed with the condition of random fraction of defective items. It is assumed that after inspection, the screened defective items are sold at a discounted rate instantly. Demand is considered to be price-sensitive stock-dependent. The model is incorporating effect of inflation which is critical factor globally. The objective is to maximize profit of the retailer with respect to preservation technology investment, order quantity and cycle time. The numerical example is given to validate the proposed model. Sensitivity analysis is carried out to work out managerial issues.

  7. Determinants of farmers’ perception to invest in soil and water conservation technologies in the North-Western Highlands of Ethiopia

    Directory of Open Access Journals (Sweden)

    Desalew Meseret Moges

    2017-03-01

    Full Text Available Soil erosion by water is a severe and continuous ecological problem in the north-western Highlands of Ethiopia. Limited perception of farmers to practice soil and water conservation (SWC technologies is one of the major causes that have resulted accelerated soil erosion. Therefore, this paper examines the major determinants of farmers’ perception to use and invest in SWC technologies in Ankasha District, north-western highlands of Ethiopia. A detailed field survey was carried out among 338 households, randomly selected from two rural sample kebeles (called villages here after. Descriptive statistics and logistic regression model were used to analyse the effects of multiple variables on farmers’ perception. The results indicate that educational level of the respondents and their access to trainings were found to have a positive and very significant association (P<0.01 with farmers’ perception. Likewise, land ownership, plot size, slope type, and extension contact positively and significantly influenced farmers’ perception at 5% level of significance. On the other hand, the influence of respondents’ age and plot distance from the homestead was found to be negative and significant (P<0.05. The overall results of this study indicate that the perception of farmers to invest in SWC technologies was highly determined by socioeconomic, institutional, attitudinal and biophysical factors. Thus, a better understanding of constrains that influence farmers' perception is very important while designing and implementing SWC technologies. Frequent contacts between farmers and extension agents and continues agricultural trainings are also needed to increase awareness of the impacts of SWC benefits.

  8. Engineering management technologies of increasing energy efficiency processes in the investment and construction projects

    Science.gov (United States)

    Borisovich Zelentsov, Leonid; Dmitrievna Mailyan, Liya; Sultanovich Shogenov, Murat

    2017-10-01

    The article deals with the problems of using the energy-efficient materials and engineering technologies during the construction of buildings and structures. As the analysis showed, one of the most important problems in this sphere is the infringement of production technologies working with energy-efficient materials. To improve the given situation, it is offered to set a technological normal at the design stage by means of working out the technological maps studying the set and the succession of operations in details, taking in mind the properties of energy-efficient materials. At Don State Technical University (DSTU) the intelligent systems of management are being developed providing organizational and technological and also informational integration of design and production stages by means of creating the single database of technological maps, volumes of work and resources.

  9. Powered by technology or powering technology?---Belief-based decision-making in nuclear power and synthetic fuel

    Science.gov (United States)

    Yang, Chi-Jen

    , indeterminate, and relatively impotent, which explains the hesitancy in the government's synfuel endeavors. In retrospect, it is not difficult to see that many of the pivotal decisions were "belief-based". Due to the long-term nature of energy planning and the inherent unpredictability of the distant future, important energy investment decisions are inevitably based on decision-makers' beliefs. Unfortunately, many generally agreed views about the future turned out to be wrong. Shared beliefs are socially constructed and reflect particular zeitgeists. Another important finding is a recurrent herding phenomenon in the forecasters' community. This phenomenon largely explains the repeated forecasting fallacies. As history reveals itself, shared beliefs about the long-term future have been repeatedly proven wrong. Nevertheless, mistakes caused by misguided beliefs often survive. As culture evolves over the long-term, an old belief system, i.e. a worldview/zeitgeist, may be challenged by a new one. Two competing worldviews underlay the pro- and antinuclear controversies: one embraces modernism while the other is skeptical of it. Long-lived, large-scale capital-intensive energy facilities, such as nuclear power plants, are inevitably encumbered with unique "outlived-zeitgeist" jeopardy. Understanding this peculiar but pervasive characteristic teaches important lessons for today's decision-making about hydrogen and other energy technologies, and the stakes, if anything, are even higher than before.

  10. A hybrid method for information technology selection combining multi-criteria decision making (MCDM) with technology roadmapping

    OpenAIRE

    García Mejía, Jaime Andrés

    2013-01-01

    Abstract: Strategic information technology (IT) management has been recognized as vital for achieving competitive advantage. IT selection, the process of choosing the best technology alternative from a number of available options, is an important part of IT management. The IT selection is a multi-criteria decision making process, where relative importance of each criterion is determined and the degree of satisfaction of every criterion from each alternative is evaluated. Decision makers (DMs)...

  11. Investment risks under uncertain climate change policy

    International Nuclear Information System (INIS)

    Blyth, William; Bradley, Richard; Yang, Ming; Bunn, Derek; Clarke, Charlie; Wilson, Tom

    2007-01-01

    This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms' investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5-10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16-37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty. (author)

  12. Anthropology and decision making about chronic technological disasters: Mixed waste remediation on the Oak Ridge Reservation

    International Nuclear Information System (INIS)

    Wolfe, A.K.; Schweitzer, M.

    1996-01-01

    This paper discusses two related case studies of decision making about the remediation of mixed (hazardous and radioactive) wastes on the Oak Ridge Reservation in Tennessee. The three goals of the paper are to (1) place current decision-making efforts in the varied and evolving social, political, regulatory, economic, and technological contexts in which they occur; (2) present definitions and attributes of open-quotes successfulclose quotes environmental decision making from the perspectives of key constituency groups that participate in decision making; and (3) discuss the role of anthropology in addressing environmental decision making. Environmental decision making about remediation is extraordinarily complex, involving human health and ecological risks; uncertainties about risks, technological ability to clean up, the financial costs of clean up; multiple and sometimes conflicting regulations; social equity and justice considerations; and decreasing budgets. Anthropological theories and methods can contribute to better understanding and, potentially, to better decision making

  13. 77 FR 5865 - American Unity Investments, Inc., China Display Technologies, Inc., China Wind Energy, Inc., Fuda...

    Science.gov (United States)

    2012-02-06

    ... Display Technologies, Inc., China Wind Energy, Inc., Fuda Faucet Works, Inc., Greater China Media & Entertainment Corp., and Xechem International, Inc.; Order of Suspension of Trading February 2, 2012. It appears... Technologies, Inc. because it has not filed any periodic reports since the period ended September 30, 2008. It...

  14. Environmental investment funds. Investing into the future. Umweltfonds. Investieren in die Zukunft

    Energy Technology Data Exchange (ETDEWEB)

    Homolka, W [Bayerische Hypotheken- und Wechsel-Bank AG, Muenchen (Germany)

    1990-01-01

    The book wants to show that ecologically oriented and socially responsible investment has so far been underrated as a criterion of choice for finance decisions. Environmental investment funds offer the chance to make important investments into the future and the development of new technologies and methods of production, provided the openness of their claim is appreciated which is to go for anything that will improve our environment. Such confidence in the positive forces of the market is adequately rewarded, as international examples show. Environmental investment funds are a form of finance management for far-sighted investors and who are committed to the environment. The author presents the bases of ethic-ecologically oriented fund investment, reports experience abroad, and gives a current overview of the situation, nationally and internationally, in this sector of the finance market. (orig./HSCH).

  15. Who is Willing to Let Ethics Guide His Economic Decision-Making? Evidence from Individual Investments in Ethical Funds

    OpenAIRE

    Säve-Söderbergh, Jenny

    2005-01-01

    Recent economics literature has devoted attention towards motives beyond the typical selfish norm for economic decision-making. Yet, it still remains a puzzle who allows such considerations to govern their behavior. This paper contributes by empirically identifying some features which differentiate individuals who choose to bear the cost of ethically guided economic decision-making from others. Using unique Swedish data on individual pension portfolio choices, we find that education, the choi...

  16. Stock prices and business investment

    OpenAIRE

    Yaron Leitner

    2007-01-01

    Is there a link between the stock market and business investment? Empirical evidence indicates that there is. A firm tends to invest more when its stock price increases, and it tends to invest less when the price falls. In “Stock Prices and Business Investment,” Yaron Leitner discusses existing research that explains this relationship. One question under consideration is whether the stock market actually improves investment decisions.

  17. Technological risk: The limits of science in decision-making

    International Nuclear Information System (INIS)

    Smith, D.; Elliott, P.

    1991-01-01

    The purpose of this paper is to explore the relationship between science and decision making yb reference to a series of debates in South Wales centring around a high-temperature icineration plant operated by Rechem

  18. Longitudinal associations between mothers' perceptions of nonresidential fathers' investment of resources and influence in decision-making.

    Science.gov (United States)

    Fagan, Jay; Palkovitz, Rob

    2018-02-01

    Nonresidential fathers are challenged to remain involved with their children across time in both direct and indirect ways, including influencing decision-making around important issues such as school attendance and medical care. An analytic sample of 1,350 families with residential mothers and nonresidential fathers was selected from the Early Childhood Longitudinal Survey-Birth Cohort (ECLS-B) to examine the longitudinal relationships between mothers' reports of nonresidential fathers' influence in decision-making and their provision of resources to their children. Findings indicate that fathers' voluntary contribution of tangible resources (informal child support, caregiving time) when children are 2 years old positively predict fathers' influence in decision-making regarding the care of their 4-year-old children. Fathers' early formal child support is not related to later decision-making. Fathers' communication with mother about the child at 24 months is related to later decision-making among daughters but not sons. Fathers' early decision-making is longitudinally related to later informal child support, caregiving time, and coparenting communication. The findings support the utility of a resource theory of fathering for understanding and predicting observed patterns of father involvement. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  19. 32 CFR Appendix A to Part 37 - What Is the Civil-Military Integration Policy That Is the Basis for Technology Investment...

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 1 2010-07-01 2010-07-01 false What Is the Civil-Military Integration Policy That Is the Basis for Technology Investment Agreements? A Appendix A to Part 37 National Defense Department of Defense OFFICE OF THE SECRETARY OF DEFENSE DoD GRANT AND AGREEMENT REGULATIONS TECHNOLOGY...

  20. Access to augmentative and alternative communication: new technologies and clinical decision-making.

    Science.gov (United States)

    Fager, Susan; Bardach, Lisa; Russell, Susanne; Higginbotham, Jeff

    2012-01-01

    Children with severe physical impairments require a variety of access options to augmentative and alternative communication (AAC) and computer technology. Access technologies have continued to develop, allowing children with severe motor control impairments greater independence and access to communication. This article will highlight new advances in access technology, including eye and head tracking, scanning, and access to mainstream technology, as well as discuss future advances. Considerations for clinical decision-making and implementation of these technologies will be presented along with case illustrations.