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R. Hertwig, Ido Erev (2009)
The description–experience gap in risky choiceTrends in Cognitive Sciences, 13
B. Flyvbjerg (2003)
Delusions of Success: Comment on Dan Lovallo and Daniel Kahneman
Hyung-Jin Kim, K. Reinschmidt (2011)
Effects of Contractors’ Risk Attitude on Competition in ConstructionJournal of Construction Engineering and Management-asce, 137
N. Gil (2017)
A Collective-Action Perspective on the Planning of Megaprojects
G. Charness, U. Gneezy, Michael Kuhn (2012)
Experimental methods: Between-subject and within-subject designJournal of Economic Behavior and Organization, 81
F. Knight (2009)
The economic nature of the firm: From Risk, Uncertainty, and Profit
R. Lachman, J. Lachman, E. Butterfield (1979)
Cognitive Psychology and Information Processing: An Introduction
R. Hau, Timothy Pleskac, R. Hertwig (2010)
Decisions From Experience and Statistical Probabilities: Why They Trigger Different Choices Than a Priori ProbabilitiesJournal of Behavioral Decision Making, 23
N. Gil (2016)
Creating a Polycentric Commons to Govern Strategic Choice in Pluralistic Projects, 2016
D. Lovallo, D. Kahneman (2003)
Delusions of SuccessHarvard Business Review, 81
Building BRICs of growth
B. Flyvbjerg, Massimo Garbuio, D. Lovallo (2009)
Delusion and Deception in Large Infrastructure Projects: Two Models for Explaining and Preventing Executive DisasterCalifornia Management Review, 51
M. Steen, P. Keller, P. Keller (2013)
The ADaptation and Anticipation Model (ADAM) of sensorimotor synchronizationFrontiers in Human Neuroscience, 7
N. Barberis, Abhiroop Mukherjee, Baolian Wang (2016)
Prospect Theory and Stock Returns: An Empirical TestCapital Markets: Market Efficiency eJournal
R. Hogarth, Natalia Karelaia (2007)
Heuristic and linear models of judgment: matching rules and environments.Psychological review, 114 3
Nicolai Bodemer, Björn Meder, G. Gigerenzer (2014)
Communicating Relative Risk Changes with Baseline RiskMedical Decision Making, 34
R. Hertwig, Greg Barron, E. Weber, Ido Erev (2004)
Decisions from Experience and the Effect of Rare Events in Risky ChoicePsychological Science, 15
C. Schexnayder, K. Knutson, J. Fente (2005)
Describing a beta probability distribution function for construction simulationJournal of Construction Engineering and Management-asce, 131
J. Sweller (1994)
COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGNLearning and Instruction, 4
B. Flyvbjerg (2008)
Curbing Optimism Bias and Strategic Misrepresentation in Planning: Reference Class Forecasting in PracticeEuropean Planning Studies, 16
M. Smit, N. Capaldi (2007)
The Art of Deception: An Introduction to Critical Thinking
N. Gil, J. Pinto (2018)
Polycentric organizing and performance: A contingency model and evidence from megaproject planning in the UKResearch Policy, 47
P. Burrowes (2003)
A Student-Centered Approach to Teaching General Biology That Really Works: Lord's Constructivist Model Put to a Test, 65
Josh Iorio, J. Taylor, C. Dossick (2012)
A bridge too far: examining the impact of facilitators on information transfer in global virtual project networks, 2
S. Manohar, M. Husain (2013)
Attention as foraging for information and valueFrontiers in Human Neuroscience, 7
(2003)
Supplementary Green Book Guidance: Optimism Bias, HM Treasury, London
T. Schwanen, D. Ettema (2009)
Coping with Unreliable Transportation When Collecting Children: Examining Parents’ Behavior with Cumulative Prospect Theory
D. Ahiaga-Dagbui, Simon Smith (2014)
Rethinking Construction Cost Overruns: Cognition, Learning and EstimationJournal of Financial Management of Property and Construction, 19
Kin Wong, Jessica Kwong (2000)
Is 7300 m Equal to 7.3 km? Same Semantics but Different Anchoring Effects.Organizational behavior and human decision processes, 82 2
The American Biology Teacher, 65
C. Lundrigan, N. Gil (2013)
Megaprojects: A Hybrid Meta-OrganisationSocial Science Research Network
The Review of Financial Studies, 29
N. Gil, Guilherme Biesek, J. Freeman (2015)
Interorganizational Development of Flexible Capital Designs: The Case of Future-Proofing InfrastructureIEEE Transactions on Engineering Management, 62
B. Flyvbjerg (2005)
Policy and Planning for Large-Infrastructure Projects: Problems, Causes, CuresEnvironment and Planning B: Planning and Design, 34
Semra Comu, J. Taylor, C. Dossick (2014)
Comparing Global Versus Domestic Project Network Facilitation in Virtual Workspaces
Elliot Ludvig, M. Spetch (2011)
Of Black Swans and Tossed Coins: Is the Description-Experience Gap in Risky Choice Limited to Rare Events?PLoS ONE, 6
T. Rakow, Kali Demes, B. Newell (2008)
Biased samples not mode of presentation: Re-examining the apparent underweighting of rare events in experience-based choiceOrganizational Behavior and Human Decision Processes, 106
Adrian Camilleri, B. Newell (2013)
Mind the gap? Description, experience, and the continuum of uncertainty in risky choice.Progress in brain research, 202
W. Jennings (2012)
Why costs overrun: risk, optimism and uncertainty in budgeting for the London 2012 Olympic GamesConstruction Management and Economics, 30
Pauli Alin, J. Taylor, R. Smeds (2011)
Knowledge Transformation in Project Networks: A Speech Act Level Cross-Boundary AnalysisProject Management Journal, 42
R. Hau, Timothy Pleskac, Juergen Kiefer, R. Hertwig (2008)
The Description-Experience Gap in Risky Choice: The Role of Sample Size and Experienced ProbabilitiesJournal of Behavioral Decision Making, 21
(2016)
Definition -what is a capital project?
C. Cantarelli, Bent Flybjerg, Eric Molin, Bert Wee (2010)
Cost Overruns in Large-Scale Transportation Infrastructure Projects: Explanations and Their Theoretical EmbeddednessGeographyRN: Transportation Geography (Sub-Topic)
Murray Jarvik (1951)
Probability learning and a negative recency effect in the serial anticipation of alternative symbols.Journal of experimental psychology, 41 4
Saima Ghazal, Edward Cokely, R. García‐Retamero (2014)
Predicting biases in very highly educated samples: Numeracy and metacognitionJudgment and Decision Making
Norbert Michel, J. Cater, Otmar Varela (2009)
Active versus passive teaching styles: An empirical study of student learning outcomesHuman Resource Development Quarterly, 20
B. Flyvbjerg, Mette holm, Søren Buhl (2005)
How (In)accurate Are Demand Forecasts in Public Works Projects?: The Case of TransportationJournal of the American Planning Association, 71
Ori Plonsky, Kinneret Teodorescu, Ido Erev (2015)
Reliance on small samples, the wavy recency effect, and similarity-based learning.Psychological review, 122 4
(2017)
Megaproject Organization and Performance: The Myth and Political Reality
G. Grisetti, C. Stachniss, K. Arras, Wolfram Burgard (1984)
Further ReadingInternational Journal of Christianity & Education, os-27
Econometrica: Journal of the Econometric Society, 47
D. Kahneman, A. Tversky (1979)
Prospect theory: An analysis of decision under risk Econometrica 47
L. Dobes (2018)
The Oxford Handbook of Megaproject Management, by Bent Flyvbjerg (Oxford University Press, Oxford, 2017), pp. 624.Economic Record, 94
農林水産奨励会農林水産政策情報センター, 英国財務省 (2003)
The green book : appraisal and evaluation in central government
S. Han, S. Han, S. Han, James Diekmann, James Diekmann, James Diekmann, Jong-ho Ock, Jong-ho Ock, Jong-ho Ock (2005)
Contractor’s Risk Attitudes in the Selection of International Construction ProjectsJournal of Construction Engineering and Management-asce, 131
J. Ferrari, Stephanie McGowan (2002)
Using Exam Bonus Points as Incentive for Research ParticipationTeaching of Psychology, 29
N. Gil (2016)
Governing Strategic Planning in Pluralistic Projects: A Polycentric Commons Approach
Andrea Lancichinetti, F. Radicchi, J. Ramasco, S. Fortunato (2010)
Finding Statistically Significant Communities in NetworksPLoS ONE, 6
S. Abourizk, D. Halpin, James Wilson (1994)
FITTING BETA DISTRIBUTIONS BASED ON SAMPLE DATAJournal of Construction Engineering and Management-asce, 120
N. Gil, Carliss Baldwin (2014)
Sharing Design Rights: A Commons Approach for Developing InfrastructureHarvard Business School Working Papers
U. Hoffrage, S. Lindsey, R. Hertwig, G. Gigerenzer (2000)
Communicating Statistical InformationScience, 290
P. Love, D. Ahiaga-Dagbui (2018)
Debunking fake news in a post-truth era: The plausible untruths of cost underestimation in transport infrastructure projectsTransportation Research Part A: Policy and Practice
B. Flyvbjerg (2006)
From Nobel Prize to Project Management: Getting Risks RightProject Management Journal, 37
E. Seneta (2013)
A Tricentenary history of the Law of Large NumbersBernoulli, 19
B. Flyvbjerg, Carsten Glenting, Arne Rønnest (2004)
Procedures for Dealing with Optimism Bias in Transport Planning
T. Micceri (1989)
The unicorn, the normal curve, and other improbable creatures.Psychological Bulletin, 105
(2005)
JAPA article calls on planners to help end inaccuracies in public project revenue forecasting
R. Buehler, D. Griffin, M. Ross (1994)
Exploring the "planning fallacy": Why people underestimate their task completion times.Journal of Personality and Social Psychology, 67
N. Gil (2017)
Pluralism at the Front-end of Complex Projects: Governance and Performance Implications
M. Banaji, M. Bazerman, D. Chugh (2003)
How (un) ethical are you?Harvard business review, 81 12
Kristen Duke, D. Mochon, On Amir (2017)
Changing How Probability Is Represented Attenuates the Reflection EffectACR North American Advances
S. Hayes (2018)
The Oxford handbook of megaproject managementImpact Assessment and Project Appraisal, 36
B. Flyvbjerg, Mette holm, Søren Buhl (2003)
How common and how large are cost overruns in transport infrastructure projects?Transport Reviews, 23
Colin Camerer (1998)
Prospect Theory In The Wild: Evidence From The Field
A. Tversky, D. Kahneman (1992)
Advances in prospect theory: Cumulative representation of uncertaintyJournal of Risk and Uncertainty, 5
Capital project delivery, such as the delivery of transportation networks and industrial facilities, often suffers losses due to overly aggressive planning. Planners often are overly optimistic about the chance of success while underestimating risks. The purpose of this paper is to examine the hypothesis that these biases are from the difficulties most decision makers face when interpreting probabilistic information.Design/methodology/approachThree behavioral experiments were conducted to test the theoretical fitness of the paradigms proposed by the description–experience gap literature, namely, the sampling errors effect, the recency effect and statistical information format. College students were recruited to participate in a series of estimating tasks. And their estimating results were compared given different levels of information completeness.FindingsIt was found that the existing paradigms could predict risk decision making in the risk-averse estimating scenarios where test subjects were required to give a relatively conservative estimate, but they seemed to be less effective in predicting decisions in the risk-seeking estimating scenario, where test subjects were asked to give a relatively aggressive estimate.Originality/valueBased on these findings, an integrative model is proposed to explain the observations pertaining to aggressive planning in capital projects. Two dimensions are deemed to be relevant: including risk-taking intentions, and an information uncertainty continuum that ranges from an implicit experience-based information representation to an explicit description-based information representation.
Engineering Construction & Architectural Management – Emerald Publishing
Published: Jul 10, 2019
Keywords: Decision support systems; Estimating; Construction planning
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