Bribery in the Workplace: A Field Experiment on the Threat of Making Group Behavior Visible
Diana Dakhlallah ()
Additional contact information
Diana Dakhlallah: Organizational Behavior, Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada
Organization Science, 2024, vol. 35, issue 4, 1203-1223
Abstract:
Can reputational threat among coworkers reduce bribery in organizations? I exploit within- and across-organizational variation in bribery to design and implement a field experiment in the maternity wards of five Moroccan public hospitals. I test whether threatening to reveal information about ward workers’ involvement in bribery to their coworkers dissuades them from taking bribes from patients. Healthcare workers cut back on taking bribes in higher-incidence maternity wards but not in lower-incidence wards. Qualitative data show that bribery’s baseline incidence sets the costs of revealing. Workers tolerate only so much bribery in their wards before they face the negative social consequences of belonging to a work group that takes bribes. They thus correct their behavior when it crosses a threshold. Moreover, ineffective applications of the field interventions betrayed welfare-diminishing effects. I furnish evidence for a novel kind of policy lever against workplace bribery and shed new light on the dynamics of bribery inside organizations.
Keywords: bribery and corruption; group reputation; social incentives; field experiment; public sector organizations; healthcare (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/orsc.2021.15264 (application/pdf)
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:inm:ororsc:v:35:y:2024:i:4:p:1203-1223
Access Statistics for this article
More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().