Literature DB >> 26261341

The collaborative roots of corruption.

Ori Weisel1, Shaul Shalvi2.   

Abstract

Cooperation is essential for completing tasks that individuals cannot accomplish alone. Whereas the benefits of cooperation are clear, little is known about its possible negative aspects. Introducing a novel sequential dyadic die-rolling paradigm, we show that collaborative settings provide fertile ground for the emergence of corruption. In the main experimental treatment the outcomes of the two players are perfectly aligned. Player A privately rolls a die, reports the result to player B, who then privately rolls and reports the result as well. Both players are paid the value of the reports if, and only if, they are identical (e.g., if both report 6, each earns €6). Because rolls are truly private, players can inflate their profit by misreporting the actual outcomes. Indeed, the proportion of reported doubles was 489% higher than the expected proportion assuming honesty, 48% higher than when individuals rolled and reported alone, and 96% higher than when lies only benefited the other player. Breaking the alignment in payoffs between player A and player B reduced the extent of brazen lying. Despite player B's central role in determining whether a double was reported, modifying the incentive structure of either player A or player B had nearly identical effects on the frequency of reported doubles. Our results highlight the role of collaboration-particularly on equal terms-in shaping corruption. These findings fit a functional perspective on morality. When facing opposing moral sentiments-to be honest vs. to join forces in collaboration-people often opt for engaging in corrupt collaboration.

Entities:  

Keywords:  behavioral economics; behavioral ethics; cooperation; corruption; decision making

Mesh:

Year:  2015        PMID: 26261341      PMCID: PMC4553769          DOI: 10.1073/pnas.1423035112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  13 in total

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Journal:  Science       Date:  1981-03-27       Impact factor: 47.728

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Authors:  Christopher T Dawes; James H Fowler; Tim Johnson; Richard McElreath; Oleg Smirnov
Journal:  Nature       Date:  2007-04-12       Impact factor: 49.962

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Authors:  Francesca Gino; Shahar Ayal; Dan Ariely
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  31 in total

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Authors:  Amos Schurr; Ilana Ritov
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

2.  Fraud and Understanding the Moral Mind: Need for Implementation of Organizational Characteristics into Behavioral Ethics.

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Journal:  Sci Eng Ethics       Date:  2019-06-13       Impact factor: 3.525

3.  Free will beliefs predict attitudes toward unethical behavior and criminal punishment.

Authors:  Nathan D Martin; Davide Rigoni; Kathleen D Vohs
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

4.  The slippery slope of dishonesty.

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5.  Behavioural economics: Corruption corrupts.

Authors:  Shaul Shalvi
Journal:  Nature       Date:  2016-03-09       Impact factor: 49.962

6.  Increasing honesty in humans with noninvasive brain stimulation.

Authors:  Michel André Maréchal; Alain Cohn; Giuseppe Ugazio; Christian C Ruff
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-10       Impact factor: 11.205

7.  Social norms and dishonesty across societies.

Authors:  Diego Aycinena; Lucas Rentschler; Benjamin Beranek; Jonathan F Schulz
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-28       Impact factor: 12.779

Review 8.  Bad machines corrupt good morals.

Authors:  Nils Köbis; Jean-François Bonnefon; Iyad Rahwan
Journal:  Nat Hum Behav       Date:  2021-06-03

9.  Collaborative Settings Increase Dishonesty.

Authors:  Youhong Du; Weina Ma; Qingzhou Sun; Liyang Sai
Journal:  Front Psychol       Date:  2021-05-14

10.  Collective Honesty? Experimental Evidence on the Effectiveness of Honesty Nudging for Teams.

Authors:  Yuri Dunaiev; Menusch Khadjavi
Journal:  Front Psychol       Date:  2021-07-08
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