The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Prospect theory: An analysis of decision under risk
Abstract
Introduction Expected utility theory has dominated the analysis of decision making under risk. It has been generally accepted as a normative model of rational choice (Keeney and Raiffa, 1976), and widely applied as a descriptive model of economic behavior (e.g., Friedman and Savage, 1948, and Arrow, 1971). Thus, it is assumed that all reasonable people would wish to obey the axioms of the theory (von Neumann & Morgenstern, 1944, and Savage, 1954), and that most people actually do, most of the time. The present paper describes several classes of choice problems in which preferences systematically violate the axioms of expected utility theory. In the light of these observations we argue that utility theory, as it is commonly interpreted and applied, is not an adequate descriptive model and we propose an alternative account of choice under risk. Critique Decision making under risk can be viewed as a choice between prospects or gambles. A prospect ( x 1 , p 1 ; …; x n , p n ) is a contract that yields outcome x i with probability p i , where p 1 + p 2 + … + p n = 1. To simplify notation, we omit null outcomes and use ( x, p ) to denote the prospect ( x, p ; 0, 1 – p ) that yields x with probability p and 0 with probability 1 – p . The (riskless) prospect that yields x with certainty is denoted by ( x ). The present discussion is restricted to prospects with so-called objective or standard probabilities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Self-citation“Risk, Ambiguity, and the Savage Axioms.”
Ellsberg, D. (1961) · The Quarterly Journal of Economics · doi:10.2307/1884324 · Cited by 7,891
Cited by
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Self-citationTeece, D. J. (2007) · Strategic Management Journal · doi:10.1002/smj.640 · Cited by 16,825
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
Self-citationAgency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
Clarifying the Entrepreneurial Orientation Construct and Linking It to Performance
Lumpkin, G. T., & Dess, G. G. (1996) · The Academy of Management Review · doi:10.5465/amr.1996.9602161568 · Cited by 10,159
Strategic assets and organizational rent
Amit, R., & Schoemaker, P. J. H. (1993) · Strategic Management Journal · doi:10.1002/smj.4250140105 · Cited by 8,425
Feeling and thinking: Preferences need no inferences.
Zajonc, R. B. (1980) · American Psychologist · doi:10.1037/0003-066x.35.2.151 · Cited by 8,094
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001) · Review of General Psychology · doi:10.1037/1089-2680.5.4.323 · Cited by 7,678
The benefits of frequent positive affect: Does happiness lead to success?
Lyubomirsky, S., King, L., & Diener, E. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.6.803 · Cited by 7,143
Construal-level theory of psychological distance.
Trope, Y., & Liberman, N. (2010) · Psychological Review · doi:10.1037/a0018963 · Cited by 6,618
Loss aversion in riskless choice: A reference-dependent model.
Tversky, A., & Kahneman, D. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937956 · Cited by 6,432
Self-citationStatus quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.2.267 · Cited by 5,955
A perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540
Self-citationCognitive Reflection and Decision Making
Frederick, S. (2005) · Journal of Economic Perspectives · doi:10.1257/089533005775196732 · Cited by 5,256
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
“We know from psychological research that emotions, in addition to information, play an significant role in human decision-making [16], [18], [39].”
BackgroundThe antecedents and consequences of customer satisfaction for firms
Anderson, E. W., & Sullivan, M. W. (1993) · Marketing Science · doi:10.1287/mksc.12.2.125 · Cited by 4,610
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
Negativity Bias, Negativity Dominance, and Contagion
Rozin, P., & Royzman, E. B. (2001) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0504_2 · Cited by 4,342
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Regret Theory: An Alternative Theory of Rational Choice Under Uncertainty
Loomes, G., & Sugden, R. (1982) · The Economic Journal · doi:10.2307/2232669 · Cited by 4,042
Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991
Self-citationModelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014) · Festschrift in Honor of Peter Schmidt · doi:10.1007/978-1-4899-8008-3_9 · Cited by 3,835
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Self-citationGender differences in risk taking: a meta-analysis
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.3.367 · Cited by 3,723
Fake News Detection on Social Media: A Data Mining Perspective
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3137597.3137600 · Cited by 3,304
Approach and avoidance motivation and achievement goals
Elliot, A. J. (1999) · Educational Psychologist · doi:10.1207/s15326985ep3403_3 · Cited by 3,103
Lerner, J. S., Li, Y., Valdesolo, P., & Kassam, K. S. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115043 · Cited by 2,913
Translating Social Ecological Theory into Guidelines for Community Health Promotion
Stokols, D. (1996) · American Journal of Health Promotion · doi:10.4278/0890-1171-10.4.282 · Cited by 2,763
The psychology of curiosity: A review and reinterpretation.
Loewenstein, G. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.1.75 · Cited by 2,738
Pavlou, P. A., Liang, H., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148783 · Cited by 2,646
All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects
Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1998.2804 · Cited by 2,592
Myopic Loss Aversion and the Equity Premium Puzzle
Benartzi, S., & Thaler, R. H. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118511 · Cited by 2,487
Arkes, H. R., & Blumer, C. (1985) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(85)90049-4 · Cited by 2,573
Barsky, R. B., Juster, F. T., Kimball, M. S., & Shapiro, M. D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555280 · Cited by 2,400
Anomalies in Intertemporal Choice: Evidence and an Interpretation
Loewenstein, G., & Prelec, D. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118482 · Cited by 2,305
Odean, T. (1999) · American Economic Review · doi:10.1257/aer.89.5.1279 · Cited by 2,247
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples
Goodman, J. K., Cryder, C. E., & Cheema, A. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1753 · Cited by 2,242
A framework for studying the neurobiology of value-based decision making
Rangel, A., Camerer, C., & Montague, P. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2357 · Cited by 2,184
The Efficient Market Hypothesis and Its Critics
Malkiel, B. G. (2003) · Journal of Economic Perspectives · doi:10.1257/089533003321164958 · Cited by 2,161
Value-based Adoption of Mobile Internet: An empirical investigation
Kim, H.-W., Chan, H. C., & Gupta, S. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.009 · Cited by 2,084
A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery
Smith, A. K., Bolton, R. N., & Wagner, J. (1999) · Journal of Marketing Research · doi:10.2307/3152082 · Cited by 2,058
Reconceptualizing the Determinants of Risk Behavior
Sitkin, S. B., & Pablo, A. L. (1992) · The Academy of Management Review · doi:10.2307/258646 · Cited by 2,057
Bolton, R. N. (1998) · Marketing Science · doi:10.1287/mksc.17.1.45 · Cited by 1,948
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
The Medial Frontal Cortex and the Rapid Processing of Monetary Gains and Losses
Gehring, W. J., & Willoughby, A. R. (2002) · Science · doi:10.1126/science.1066893 · Cited by 1,884
Making a good decision: Value from fit.
Higgins, E. T. (2000) · American Psychologist · doi:10.1037/0003-066x.55.11.1217 · Cited by 2,053
From efficient markets theory to behavioral finance
Shiller, R. J. (2003) · Journal of Economic Perspectives · doi:10.1257/089533003321164967 · Cited by 1,835
Belief and feeling: Evidence for an accessibility model of emotional self-report.
Robinson, M. D., & Clore, G. L. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.6.934 · Cited by 1,806
An Engine, Not a Camera: How Financial Models Shape Markets
MacKenzie, D. (2006) · doi:10.7551/mitpress/9780262134606.001.0001 · Cited by 1,766
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733
Conducting Discrete Choice Experiments to Inform Healthcare Decision Making: A User??s Guide
Lancsar, E., & Louviere, J. (2008) · PharmacoEconomics · doi:10.2165/00019053-200826080-00004 · Cited by 1,707
Behavioral Decision Theory: Processes of Judgement and Choice
Einhorn, H. J., & Hogarth, R. M. (1981) · Annual Review of Psychology · doi:10.1146/annurev.ps.32.020181.000413 · Cited by 1,691
A Discounting Framework for Choice With Delayed and Probabilistic Rewards.
Green, L., & Myerson, J. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.5.769 · Cited by 1,676
Adaptive capacity and human cognition: The process of individual adaptation to climate change
Grothmann, T., & Patt, A. (2005) · Global Environmental Change · doi:10.1016/j.gloenvcha.2005.01.002 · Cited by 1,661
Preference and belief: Ambiguity and competence in choice under uncertainty
Heath, C., & Tversky, A. (1991) · Journal of Risk and Uncertainty · doi:10.1007/bf00057884 · Cited by 1,654
Self-citationAutomatic vigilance: The attention-grabbing power of negative social information.
Pratto, F., & John, O. P. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.61.3.380 · Cited by 1,592
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
When More Pain Is Preferred to Less: Adding a Better End
Kahneman, D., Fredrickson, B. L., Schreiber, C. A., & Redelmeier, D. A. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00589.x · Cited by 1,502
Self-citationToward a Comparative Sociology of Valuation and Evaluation
Lamont, M. (2012) · Annual Review of Sociology · doi:10.1146/annurev-soc-070308-120022 · Cited by 1,492
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
Experimental methods: Between-subject and within-subject design
Charness, G., Gneezy, U., & Kuhn, M. A. (2012) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2011.08.009 · Cited by 1,469
Visual fixations and the computation and comparison of value in simple choice
Krajbich, I., Armel, C., & Rangel, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2635 · Cited by 1,408
The emerging conceptualization of groups as information processors.
Hinsz, V. B., Tindale, R. S., & Vollrath, D. A. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.121.1.43 · Cited by 1,428
Shafir, E. (1993) · Cognition · doi:10.1016/0010-0277(93)90034-s · Cited by 1,453
Functional imaging of neural responses to expectancy and experience of monetary gains and losses
Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00303-8 · Cited by 1,404
Self-citationSUBJECTIVE PROBABILITY AND DELAY
Rachlin, H., Raineri, A., & Cross, D. (1991) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1991.55-233 · Cited by 1,341
The root of all value: a neural common currency for choice
Levy, D. J., & Glimcher, P. W. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.001 · Cited by 1,342
Chiu, C., Wang, E. T. G., Fang, Y., & Huang, H. (2014) · Information Systems Journal · doi:10.1111/j.1365-2575.2012.00407.x · Cited by 1,332
Effective messages in vaccine promotion: a randomized trial
Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014) · Pediatrics · doi:10.1542/peds.2013-2365 · Cited by 1,300
Midbrain dopamine neurons encode a quantitative reward prediction error signal
Bayer, H. M., & Glimcher, P. W. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.020 · Cited by 1,304
A Domain-Specific Risk-Taking (DOSPERT) scale for adult populations
Blais, A.-R., & Weber, E. U. (2006) · Judgment and Decision Making · doi:10.1017/s1930297500000334 · Cited by 1,286
An Experiment on Risk Taking and Evaluation Periods
Gneezy, U., & Potters, J. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555217 · Cited by 1,288
Labor Supply of New York City Cabdrivers: One Day at a Time
Camerer, C., Babcock, L., Loewenstein, G., & Thaler, R. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555244 · Cited by 1,218
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Self-citationLevin, I. P., & Gaeth, G. J. (1988) · Journal of Consumer Research · doi:10.1086/209174 · Cited by 1,172
Active inference: a process theory
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017) · Neural Computation · doi:10.1162/neco_a_00912 · Cited by 1,156
Decision making and the avoidance of cognitive demand
Kool, W., McGuire, J. T., Rosen, Z. B., & Botvinick, M. M. (2010) · Journal of Experimental Psychology: General · doi:10.1037/a0020198 · Cited by 1,141
Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective1
Kim, H.-W., & Kankanhalli, A. (2009) · MIS Quarterly · doi:10.2307/20650309 · Cited by 1,135
Justification effects on consumer choice of hedonic and utilitarian goods.
Okada, E. M. (2005) · Journal of Marketing Research · doi:10.1509/jmkr.42.1.43.56889 · Cited by 1,069
Business model innovation through trial-and-error learning
Sosna, M., Trevinyo-Rodríguez, R. N., & Velamuri, S. R. (2010) · Long Range Planning · doi:10.1016/j.lrp.2010.02.003 · Cited by 1,054
Dopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036
Lyubomirsky, S. (2001) · American Psychologist · doi:10.1037/0003-066x.56.3.239 · Cited by 995
Regulatory Focus Theory: Implications for the Study of Emotions at Work
Brockner, J., & Higgins, E. T. (2001) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.2001.2972 · Cited by 964
Do retail trades move markets?
Barber, B. M., Odean, T., & Zhu, N. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn035 · Cited by 903
Service Failure and Recovery: The Impact of Relationship Factors on Customer Satisfaction
Hess Jr., R. L., Ganesan, S., & Klein, N. M. (2003) · Journal of the Academy of Marketing Science · doi:10.1177/0092070302250898 · Cited by 959
Mirror, Mirror on my Facebook Wall: Effects of Exposure to Facebook on Self-Esteem
Gonzales, A. L., & Hancock, J. T. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0411 · Cited by 946
The Neurobiology of Decision: Consensus and Controversy
Kable, J. W., & Glimcher, P. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.003 · Cited by 928
The neural basis of human moral cognition
Moll, J., Zahn, R., de Oliveira-Souza, R., Krueger, F., & Grafman, J. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1768 · Cited by 930
Value from hedonic experience and engagement
Higgins, E. T. (2006) · Psychological Review · doi:10.1037/0033-295x.113.3.439 · Cited by 949
Financial Incentive–Based Approaches for Weight Loss: A Randomized Trial
Volpp, K. G., John, L. K., Troxel, A. B., Norton, L., Fassbender, J., & Loewenstein, G. (2008) · JAMA · doi:10.1001/jama.2008.804 · Cited by 923
Threat, Anxiety, and Support of Antiterrorism Policies
Huddy, L., Feldman, S., Taber, C., & Lahav, G. (2005) · American Journal of Political Science · doi:10.1111/j.1540-5907.2005.00144.x · Cited by 948
Amanzio, M., & Benedetti, F. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00484.1999 · Cited by 899
Ethical and Unethical Leadership: Exploring New Avenues for Future Research
Brown, M. E., & Mitchell, M. S. (2010) · Business Ethics Quarterly · doi:10.5840/beq201020439 · Cited by 881
Self-determination: The tyranny of freedom.
Schwartz, B. (2000) · American Psychologist · doi:10.1037/0003-066x.55.1.79 · Cited by 875
Good News and Bad News: Asymmetric Responses to Economic Information
Soroka, S. N. (2006) · The Journal of Politics · doi:10.1111/j.1468-2508.2006.00413.x · Cited by 850
Reference Price Research: Review and Propositions
Mazumdar, T., Raj, S. P., & Sinha, I. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.84 · Cited by 848
Metadata
- Authors
- Kahneman, D., & Tversky, A.
- Venue
- Decision, Probability and Utility
- Publisher
- Cambridge University Press
- Published
- 1988-03-25
- Pages
- 183-214
- OpenAlex
- W2133469585
- Cited by
- 32,474
- References
- 2
- FWCI
- 76.53
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.