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Emotion and Decision Making

Bibliographic Data

ID23360683
AuthorsJennifer S Lerner (0000-0002-1255-4196, Harvard Kennedy School, Harvard University, Cambridge, Massachusetts 02138), Ye Li (0000-0002-5043-9797, School of Business Administration, University of California, Riverside, California 92521), Piercarlo Valdesolo (Claremont McKenna College), Karim Kassam (0000-0002-4064-8317, Decision Sciences (United States)), Karim S Kassam (Carnegie Mellon University)
Year2015
Volume66
Issue1
Pages799-823
Publication date2015-01-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnual Review of Psychology (JOURNAL)
Journal identifiersISSN: 0066-4308 • E-ISSN: 1545-2085
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev-psych-010213-115043
PMID25251484
OpenAlexW2105938655
LanguageEN
Citations received520
References cited149

A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across different domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and decision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.

Affective science · Cognitive psychology · Cognitive science · Emotion work · Cultural Differences and Values · Decision-Making and Behavioral Economics · Emotions and Moral Behavior · Psychology · Social Psychology

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Unique citing works520
Citations per year40
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 478

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae