An Attributional Analysis of Employees’ Responses to Abusive Supervision
Abstract
We invoke Fairness Theory (Folger & Cropanzano, 2001) to develop an attributional model of employees’ responses to abusive supervision. According to the model abused employees may attribute their supervisors’ hostile behavior to the supervisor (e.g., poor social skills, indifference to the effect their behavior may have on others) and/or the organization (e.g., pressure from higher organizational authorities). We theorize that abused employees experience less interactional justice (i.e., the perception that their supervisor has treated them fairly on an interpersonal basis) when they make stronger attributions to the supervisor, but this effect should be more pronounced when organizational attributions are lower. Interactional justice should, in turn, be negatively related to abused employees’ job satisfaction, and positively associated with employees’ job satisfaction, intentions to quit, anxiety, depression, and workplace deviance. A test of the framework using data collected from368 abused employees from three organizations provided support for our mediated-moderation hypotheses. We discuss the framework’s implications for abusive supervision theory and research.
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There are studies that use scales to measure blame attributions regarding abusive supervision, but there is no validated scale that specifically addresses justifications when assessing supervisor abuse.
“While there are studies (e.g., Bowling & Michel, 2011; Breaux et al., 2010) that use scales to measure blame attributions regarding abusive supervision, to the best of our knowledge, there is no validated scale that specifically addresses justifications when assessing supervisor abuse.”
From Blame or Justification: A Conceptual Model of How Attributions Shape Observers’ Deviant Responses to Abusive Supervision (2026) · cites this paper as Breaux et al., 2010
Cites
The processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025 · see citing works
Roese, N. J. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.121.1.133 · Cited by 1,156 · see citing works
Antecedents and outcomes of abusive supervision: test of a trickle-down model.
Aryee, S., Chen, Z. X., Sun, L.-Y., & Debrah, Y. A. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.1.191 · Cited by 914 · see citing works
Abusive supervision and subordinates’ organizational citizenship behavior.
Zellars, K. L., Tepper, B. J., & Duffy, M. K. (2002) · Journal of Applied Psychology · doi:10.1037//0021-9010.87.6.1068 · Cited by 896 · see citing works
Mooney, C., & Duval, R. (1993) · doi:10.4135/9781412983532 · Cited by 893 · see citing works
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Ağaoğlu, M., & Erdil, O. (2026) · Behavioral Sciences · doi:10.3390/bs16071191
- Authors
- Breaux, D. M., Tepper, B. J., Carr, J. C., & Folger, R. G.
- Venue
- The Dark “Side” of Management
- Publisher
- Emerald Publishing Limited
- Published
- 2010-06-18
- Pages
- 69-92
- OpenAlex
- W4416871661
- Cited by
- 2
- References
- 5
- Citations by year
- 2026: 1 · 2016: 1
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Emerald Group Publishing Limited eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Workplace Violence and Bullying
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Sociology and Political Science › Emotional Labor in Professions
- Keywords
- abusive supervision, attribution theory, fairness theory, interactional justice, job satisfaction, turnover intention, workplace anxiety, work-related depression, workplace deviance
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