The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Lorenzo Peccati - One of the best experts on this subject based on the ideXlab platform.
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sensitivity analysis in investment Project Evaluation
International Journal of Production Economics, 2004Co-Authors: Emanuele Borgonovo, Lorenzo PeccatiAbstract:Abstract This paper discusses the sensitivity analysis of valuation equations used in investment decisions. Since financial decision are commonly supported via a point value of some criterion of economic relevance (net present value, economic value added, internal rate of return, etc.), we focus on local sensitivity analysis. In particular, we present the differential importance measure (DIM) and discuss its relation to elasticity and other local sensitivity analysis techniques in the context of discounted cash flow valuation models. We present general results of the net present value and internal rate of return sensitivity on changes in the cash flows. Specific results are obtained for a valuation model of Projects under severe survival risk used in the industry sector of power generation.
Dongpeng Wang - One of the best experts on this subject based on the ideXlab platform.
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research Project Evaluation and selection an evidential reasoning rule based method for aggregating peer review information with reliabilities
viXra, 2017Co-Authors: Weidong Zhu, Fang Liu, Yu-wang Chen, Jian-bo Yang, Dongpeng WangAbstract:Research Project Evaluation and selection is mainly concerned with evaluating a number of research Projects and then choosing some of them for implementation. It involves a complex multiple-experts multiple-criteria decision making process.
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research Project Evaluation and selection an evidential reasoning rule based method for aggregating peer review information with reliabilities
Scientometrics, 2015Co-Authors: Weidong Zhu, Fang Liu, Yu-wang Chen, Jian-bo Yang, Dongpeng WangAbstract:Research Project Evaluation and selection is mainly concerned with evaluating a number of research Projects and then choosing some of them for implementation. It involves a complex multiple-experts multiple-criteria decision making process. Thus this paper presents an effective method for evaluating and selecting research Projects by using the recently-developed evidential reasoning (ER) rule. The proposed ER rule based Evaluation and selection method mainly includes (1) using belief structures to represent peer review information provided by multiple experts, (2) employing a confusion matrix for generating experts' reliabilities, (3) implementing utility based information transformation to handle qualitative Evaluation criteria with different Evaluation grades, and (4) aggregating multiple experts' Evaluation information on multiple criteria using the ER rule. An experimental study on the Evaluation and selection of research proposals submitted to the National Science Foundation of China demonstrates the applicability and effectiveness of the proposed method. The results show that (1) the ER rule based method can provide consistent and informative support to make informed decisions, and (2) the reliabilities of the review information provided by different experts should be taken into account in a rational research Project Evaluation and selection process, as they have a significant influence to the selection of eligible Projects for panel review.
Prasanta Kumar Dey - One of the best experts on this subject based on the ideXlab platform.
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integrated Project Evaluation and selection using multiple attribute decision making technique
International Journal of Production Economics, 2006Co-Authors: Prasanta Kumar DeyAbstract:The Evaluation and selection of industrial Projects before investment decision is customarily done using marketing, technical and financial information. Subsequently, environmental impact assessment and social impact assessment are carried out mainly to satisfy the statutory agencies. Because of stricter environment regulations in developed and developing countries, quite often impact assessment suggests alternate sites, technologies, designs, and implementation methods as mitigating measures. This causes considerable delay to complete Project feasibility analysis and selection as complete analysis requires to be taken up again and again till the statutory regulatory authority approves the Project. Moreover, Project analysis through above process often results sub-optimal Project as financial analysis may eliminate better options, as more environment friendly alternative will always be cost intensive. In this circumstance, this study proposes a decision support system, which analyses Projects with respect to market, technicalities, and social and environmental impact in an integrated framework using analytic hierarchy process, a multiple-attribute decision-making technique. This not only reduces duration of Project Evaluation and selection, but also helps select optimal Project for the organization for sustainable development. The entire methodology has been applied to a cross-country oil pipeline Project in India and its effectiveness has been demonstrated. © 2005 Elsevier B.V. All rights reserved.
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analytic hierarchy process helps evaluate Projects in indian oil pipeline industry
International Journal of Operations & Production Management, 2004Co-Authors: Prasanta Kumar DeyAbstract:Conventionally, oil pipeline Projects are evaluated thoroughly by the owner before investment decision is made using market, technical and financial analysis sequentially. The market analysis determines pipelines throughput and supply and demand points. Subsequent, technical analysis identifies technological options and economic and financial analysis then derives the least cost option among all technically feasible options. The subsequent impact assessment tries to justify the selected option by addressing environmental and social issues. The impact assessment often suggests alternative sites, technologies, and/or implementation methodology, necessitating revision of technical and financial analysis. This study addresses these issues via an integrated Project Evaluation and selection model. The model uses analytic hierarchy process, a multiple-attribute decision-making technique. The effectiveness of the model has been demonstrated through a case application on cross-country petroleum pipeline Project in India.
John R Parkins - One of the best experts on this subject based on the ideXlab platform.
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comparative case study as social impact assessment possibilities and limitations for anticipating social change in the far north
Social Indicators Research, 2009Co-Authors: Jodie Asselin, John R ParkinsAbstract:Social impact assessment (SIA) is increasingly an accepted component of environmental impact assessment and Project Evaluation throughout North America. Tools and methodologies utilized to conduct such assessments vary greatly and continue to evolve with time and experience. This paper follows the evolution of case study methods in social impact assessment, focusing primarily on the comparative diachronic method. Exploring the utility of this method, this paper compares the potential social and economic impacts of the Mackenzie Gas Project (MGP) in the community of Inuvik, Northwest Territories, with the known social and economic impacts of the Trans-Alaska Pipeline System (TAPS) in the community of Valdez, Alaska. Through such comparison, insights into potential impacts from the proposed Mackenzie Gas Project are assessed while also drawing attention to, and discussing, the specific strengths and weaknesses of a comparative case study approach to social impact assessment.
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comparative case study as social impact assessment possibilities and limitations for anticipating social change in the far north
Social Indicators Research, 2009Co-Authors: Jodie Asselin, John R ParkinsAbstract:Social impact assessment (SIA) is increasingly an accepted component of environmental impact assessment and Project Evaluation throughout North America. Tools and methodologies utilized to conduct such assessments vary greatly and continue to evolve with time and experience. This paper follows the evolution of case study methods in social impact assessment, focusing primarily on the comparative diachronic method. Exploring the utility of this method, this paper compares the potential social and economic impacts of the Mackenzie Gas Project (MGP) in the community of Inuvik, Northwest Territories, with the known social and economic impacts of the Trans-Alaska Pipeline System (TAPS) in the community of Valdez, Alaska. Through such comparison, insights into potential impacts from the proposed Mackenzie Gas Project are assessed while also drawing attention to, and discussing, the specific strengths and weaknesses of a comparative case study approach to social impact assessment.
Petar Jovanovic - One of the best experts on this subject based on the ideXlab platform.
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application of sensitivity analysis in investment Project Evaluation under uncertainty and risk
International Journal of Project Management, 1999Co-Authors: Petar JovanovicAbstract:Abstract This paper treats investment decision-making under uncertainty and risk. Some of the methods used for investment decision-making under uncertainty and risk are presented: Break-even Analysis, Sensitivity Analysis, Theory of Games and Decision Making Theory. Sensitivity Analysis is given special consideration, and one of the procedures of its application in investment decision making under uncertainty and risk is shown.
