EconPapers    
Economics at your fingertips  
 

Finding partners in crime? How transparency about managers’ behavior affects employee collusion

Victor Maas and Huaxiang Yin

Accounting, Organizations and Society, 2022, vol. 96, issue C

Abstract: In this paper, we investigate how increasing transparency about managers' treatment of their employees affects the tendency of employees to initiate collusion. Building on behavioral economics theory, we argue that employees who are treated less kindly by their managers are more willing to initiate or join a collusive agreement. We hypothesize that internal transparency affects collusion in two ways. First, by revealing how kindly employees are treated by their managers, transparency increases or decreases the probability that individuals are singled out as potential “partners in crime.” Second, increasing transparency incentivizes managers to treat employees more kindly, which in turn reduces employees’ inclination to initiate collusion. The results of two experiments generally support the theory. We discuss the implications of our study for research and practice.

Keywords: Collusion; Fraud; Internal transparency; Kindness; Reciprocity (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0361368221000714
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:aosoci:v:96:y:2022:i:c:s0361368221000714

DOI: 10.1016/j.aos.2021.101293

Access Statistics for this article

Accounting, Organizations and Society is currently edited by Christopher Chapman

More articles in Accounting, Organizations and Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-04-08
Handle: RePEc:eee:aosoci:v:96:y:2022:i:c:s0361368221000714