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Whistleblowing and Diffusion of Responsibility: An Experimental Investigation

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  • Grimm, Veronika
  • Choo, Lawrence
  • Horvath, Gergely
  • Nitta, Kohei

Abstract

Societies today are increasingly reliant on whistleblowing to uncover unfair practices. For policy design it is therefore essential to better understand the impact of socio-psychological factors on whistleblowing propensity. We use an experimental setup to explore the role of “Diffusion of Responsibility” (DOR), which posits that individuals are less likely to whistleblow when others could similarly do so. We find that individuals do not shift responsibility to others if they expect an own monetary benefit from the consequences of whistleblowing, even if they could gain even more by freeriding on others who take action. In contrast, DOR affects whistleblowing propensities severely if whistleblowing is motivated solely by altruistic concerns. Our results highlight the fragility of purely altruistic behaviour and suggest that whistleblowing policies should ensure that potential whistleblowers perceive a gain to their in-group, but need not address the free riding problem among the insiders.

Suggested Citation

  • Grimm, Veronika & Choo, Lawrence & Horvath, Gergely & Nitta, Kohei, 2016. "Whistleblowing and Diffusion of Responsibility: An Experimental Investigation," VfS Annual Conference 2016 (Augsburg): Demographic Change 145781, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc16:145781
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    References listed on IDEAS

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    1. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    2. Jordi Brandts & Gary Charness, 2011. "The strategy versus the direct-response method: a first survey of experimental comparisons," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 375-398, September.
    3. Jingyu Gao & Robert Greenberg & Bernard Wong-On-Wing, 2015. "Whistleblowing Intentions of Lower-Level Employees: The Effect of Reporting Channel, Bystanders, and Wrongdoer Power Status," Journal of Business Ethics, Springer, vol. 126(1), pages 85-99, January.
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    Cited by:

    1. Olayinka Erin & Omololu Adex Bamigboye, 2020. "Does whistleblowing framework influence earnings management? An empirical investigation," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 111-122, September.
    2. Katharina Momsen & Markus Ohndorf, 2020. "Expressive Voting vs. Self-Serving Ignorance," Working Papers 2020-33, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Armenak Antinyan & Luca Corazzini & Filippo Pavesi, 2018. "What Matters for Whistleblowing on Tax Evaders? Survey and Experimental Evidence," Working Papers 07/2018, University of Verona, Department of Economics.

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact

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