Collaborative dishonesty: A meta-analytic review.

Abstract

Although dishonesty is often a social phenomenon, it is primarily studied in individual settings. However, people frequently collaborate and engage in mutual dishonest acts. We report the first meta-analysis on collaborative dishonesty, analyzing 87,771 decisions (21 behavioral tasks; k = 123; n = 10,923). We provide an overview of all tasks used to measure collaborative dishonesty, and inform theory by conducting moderation analyses. Results reveal collaborative dishonesty is higher (i) when financial incentives are high; (ii) in lab than field studies; (iii) when third parties experience no negative consequences; (iv) in the absence of experimental deception; and (v) when groups consist of more males and (vi) younger individuals. Further, in repeated interactions, group members’ behavior is correlated —participants lie more when their partners lie—and lying increases as the task progresses. These findings are in line with the justified ethicality theoretical perspective, suggesting prosocial concerns increase collaborative dishonesty, whereas honest-image concerns attenuate it. We discuss how findings inform theory, setting an agenda for future research on the collaborative roots of dishonesty.

Publication
Psychological Bulletin
Margarita Leib
Margarita Leib
currently at Tilburg University

I am interested in decision making and behavioral ethics.

Ivan Soraperra
Ivan Soraperra
currently at Max Planck Institute for Human Development, Berlin

My research interests include experimental and behavioral economics, with a focus on unethical behavior and cheating, experimental methods, and econometric analysis of experimental data.

Shaul Shalvi
Shaul Shalvi
Professor of Behavioral Ethics

My research interests include fairness, equality, values and norms.

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