I Lie? We Lie! Why? Experimental Evidence on a Dishonesty Shift in Groups
Martin Kocher (),
Simeon Schudy () and
Munich Reprints in Economics from University of Munich, Department of Economics
Unethical behavior such as dishonesty, cheating and corruption occurs frequently in organizations or groups. Recent experimental evidence suggests that there is a stronger inclination to behave immorally in groups than individually. We ask if this is the case, and if so, why. Using a parsimonious laboratory setup, we study how individual behavior changes when deciding as a group member. We observe a strong dishonesty shift. This shift is mainly driven by communication within groups and turns out to be independent of whether group members face payoff commonality or not (i.e., whether other group members benefit from one's lie). Group members come up with and exchange more arguments for being dishonest than for complying with the norm of honesty. Thereby, group membership shifts the perception of the validity of the honesty norm and of its distribution in the population.
References: Add references at CitEc
Citations: View citations in EconPapers (33) Track citations by RSS feed
Published in Management Science 9 64(2018): pp. 3995-4008
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Journal Article: I Lie? We Lie! Why? Experimental Evidence on a Dishonesty Shift in Groups (2018)
Working Paper: I Lie? We Lie! Why? Experimental Evidence on a Dishonesty Shift in Groups (2016)
Working Paper: I lie? We lie! Why? Experimental evidence on a dishonesty shift in groups (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:lmu:muenar:62823
Access Statistics for this paper
More papers in Munich Reprints in Economics from University of Munich, Department of Economics Ludwigstr. 28, 80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Tamilla Benkelberg ().