Predicting moral judgments of corporate responsibility with formal decision heuristics

Détails

ID Serval
serval:BIB_D747278021F1
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Predicting moral judgments of corporate responsibility with formal decision heuristics
Titre de la conférence
Proceedings of the 31st Annual Conference of the Cognitive Science Society
Auteur⸱e⸱s
Coenen A., Marewski J. N.
Editeur
Austin, TX: Cognitive Science Society
ISBN
9781615674077
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Editeur⸱rice scientifique
Taatgen N. A., van Rijn H.
Pages
1524-1528
Langue
anglais
Résumé
We address the questions (1) how moral decision-making can be formally modeled using established decision models and (2) which of these models are the most accurate in predicting moral judgments. We conducted an experiment with a comparison task in which people had to decide which of two companies behaved more fairly in dealing with the consequences of the current financial crisis. We modeled these judgments of fairness (i) using a compensatory weighted additive model (WADD), (ii) a unit weight linear heuristic (UWL), and (iii) a noncompensatory decision rule (LEX). All strategies could predict people's actual decisions above chance level for a majority of the subjects. This lends support to the modeling approach to moral decision-making.
Mots-clé
Moral heuristics, Simple heuristics, Moral psychology, Take-the-best
Création de la notice
25/10/2011 14:29
Dernière modification de la notice
20/08/2019 15:57
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