Tell me who, and I’ll tell you how fair: A model of agent bias in justice reasoning
Publication type
Vlerick strategic journal articlePublication Year
2017Journal
Group and Organization ManagementPublication Volume
42Publication Issue
5Publication Begin page
630Publication End page
656
Metadata
Show full item recordAbstract
A salient and underresearched aspect of un/fair treatment in organizations can be the source of justice, in terms of a specific justice agent. We propose a model of agent bias to describe how and when characteristics of the agent enacting justice are important to justice reasoning. The agent bias is defined as the effect on overall event justice perceptions of specific agent characteristics, over and above the effect via distributive, procedural, and interactional justice. For justice recipients to focus on agent characteristics rather than on the event being evaluated in terms of fairness is an unexplored bias in justice judgments. Agent warmth, competence, and past justice track record (entity justice) are identified as agent characteristics that influence justice judgments. Agent characteristics can influence overall event justice perceptions positively or negatively, depending on the ambiguity in terms of justice of the event and on its expectedness from a particular justice agent. Finally, we propose that agent bias is stronger when justice recipients use intuitive versus analytic information processing of event information. Our model of agent bias has important theoretical implications for theories of organizational justice and for other literatures, as well as important practical implications for organizations and managers.Knowledge Domain/Industry
People Management & Leadershipae974a485f413a2113503eed53cd6c53
10.1177/1059601117729607