Project Selection Under Uncertainty
2004, International Series in Operations Research & Management Science
https://doi.org/10.1007/978-1-4419-9080-8…
9 pages
1 file
Sign up for access to the world's latest research
Abstract
Softcover reprint of the hardcover 1 st edition 2004 AII rights reserved. No part of this work may be reproduced, stored in a retrieval system, Of transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise, without the written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.
Related papers
Construction Management and Economics, 1989
Morris' (1986) analysis of the factors affecting project success and failure is considered in relation to the psychology of judgement under uncertainty. A model is proposed whereby project managers may identify the specific circumstances in which human decision-making is prone to systematic error, and hence may apply a number of de-biasing techniques.
International Journal of Project Management, 2008
The aim of this paper is to discuss the phenomenon of uncertainty in projects and attempt to integrate it as part of project management. Despite the fact that project risk management discipline has gained a lot of attention in the past decade from both academia and practitioners, there is still considerable potential for development in this field. Recent trends in project management stress the need to readdress the issue of uncertainty. Though one can come across the notion of uncertainty in traditional project risk and uncertainty management literature rather often, there is no common understanding between the scholars as to what this term means. Based on the review of the existing research, we present our own definition of uncertainty as a crucial element in managing projects. We argue that key elements in managing uncertainty are reflective learning and sensemaking as enablers of flexibility and rapidness in decision-making regarding the choice of alternative actions in response to the situation. This approach is suggested in order to facilitate and maximize the outcome of project risk management practices.
1990
Supported by the Finance, Investment and Contracts Program of the M.I.T. Center for Energy Policy Research, by the Social Science and Humanities Research Council of Canada and by the Central Research Fund and the Institute for Financial Research of the University of Alberta.
2002
In a certain sense, uncertainty andignorance have been recognized in science andphilosophy from the time of the Greeks.However, the mathematical sciences have beendominated by the pursuit of certainty.Therefore, experiments under simplified andidealized conditions have been regarded as themost reliable source of knowledge. Normally,uncertainty could be ignored or controlled byapplying probability theory and statistics.Today, however, the situation is different.Uncertainty and ignorance have moved intofocus. In particular, the global character ofsome environmental problems has shown that theproblems cannot be disregarded. Therefore,scientists and technologists have in many wayscome into a new situation. The Chernobylaccident is a dramatic example, however,problems such as a possible greenhouse effect,a possible reduction of the ozone layer, and soon are all of the same type. These encompasstotally different problems than scientists andtechnologists are traditionally trained to dealwith. In these cases, the standard use ofstatistics has to change, the burden of proofshould be reversed, one should draw ondifferent kinds of expertise, and, in general,science should be ``democratized.''
Theor Decis, 1975
Journal of Economic Issues, 2011
The present article proposes a typology of the main varieties of uncertainty considered by economists and refines existing concepts. This typology combines three distinctions, between: substantive and procedural uncertainty; weak and strong uncertainty; and ambiguity and fundamental uncertainty. These concepts refer, or fail to refer, to factors such as: a lack of information; complexity; the (im)possibility of building probability distributions that are unique, additive and reliable; structural change; etc. When refining these concepts, the article pays special attention to the conception of social reality underlying each concept. It refers to what each concept may imply about the complexity and changeability of social reality and the limitations and creative potential of the individuals that inhabit this reality, in addition to, in some cases, the roles of institutions and the features of the process of technological change.
Development, 2004
A Practical Approach to Business Investment Decisions, 1979
If the assumption of certainty is relaxed one moves into the highly problematic world of risk or uncertainty. Theorists often distinguish between risk and uncertainty, arguing that risk refers to situations where the possible future outcomes of a present decision are plural but the dimensions and probabilities of these outcomes are known in advance; while uncertainty also refers to a situation where the possible future outcomes are plural but their dimensions and probabilities cannot be objectively specified in advance. C. Jackson Grayson suggests that the distinction has little meaning in business decisions, ‘Most business decision-makers have some feelings about the probability of future events ranging from a high degree of confidence to very vague and ill-defined feelings. They are neither completely ignorant nor do they feel that they know the probabilities of future events.’ (G1 p. 91) This view is taken in this chapter and the terms of uncertainty and risk are used interchangeably.
Engineering Management Journal, 2019

Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.