Similarity increases collaborative cheating

Bernd Irlenbusch, Thomas Mussweiler, David J. Saxler, Shaul Shalvi and Alexa Weiss

Journal of Economic Behavior & Organization, 2020, vol. 178, issue C, 148-173

Abstract: We report two experimental studies testing how a cognitive feeling of similarity affects dishonesty in individual and collaborative tasks when cheating hurts others. By employing a novel die-in-the-box paradigm with a total of 1080 subjects, we find that a sense of similarity (vs. dissimilarity) tends to increase dishonesty in settings highlighting the relationship with a collaborator, but tends to decrease dishonesty in settings highlighting the relationship with others who suffer from cheating. Corroborating these results, a code of conduct highlighting similarity towards the firm’s employees leads to higher levels of cheating than a code of conduct highlighting similarity towards other members of the society. The results provide insights into how to craft effective organizational codes of ethical conduct.

Keywords: Similarity; Cheating; Lying; Codes of ethical conduct; Whistle-blowing; Four-eyes principle; Two-man rule; Social responsibility (search for similar items in EconPapers)
JEL-codes: C92 D79 M14 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268120302134
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:178:y:2020:i:c:p:148-173

DOI: 10.1016/j.jebo.2020.06.022

Access Statistics for this article

Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.

More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().