Explaining Injustice: The Interactive Effect of Explanation and Outcome on Fairness Perceptions and Task Motivation
By J. Colquitt, J. Chertkoff. 2002
131 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/95d88ea9e06c2401ce4e2ceef4e22b8195311605
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Timo Speith
- David A Jones
- Russell S. Cropanzano
- D. Skarlicki
- Cindy P. Zapata-Phelan
- S. Biswas
- Jordan H. Stein
- J. Colquitt
Citations in the corpus
- Linking distributive and procedural justice to employee engagement through social exchange: a field study in India (2013, background): “…or inconsistent justice procedures, organizations which allow employees to voice their dissatisfaction and propose suggestions regarding it ultimately led to stronger bonding between individuals and Justice, Social Exchange, and Employee Engagement 8 organizations (Colquitt & Chertkoff, 2002).”
- Organizational Justice and Behavioral Ethics: Promises and Prospects (2009, background): “In general, evidence supports the position that both dimensions of interactional justice are important (e.g., Bies, 2005; Bobocel, Agar, Meyer, & Irving, 1998; Bobocel & Farrell, 1996; Colquitt & Chertkoff, 2002; Shaw, Wild, & Colquitt, 2003).”
- How perceptions of fairness can change (2013, background): “Similar notions and empirical findings are reported in the organizational justice literature (Bobocel, McCline, & Folger, 1997; Colquitt & Chertkoff, 2002).”
- Justice at the millennium: a meta-analytic review of 25 years of organizational justice research. (2001, background): “Another common operationalization is measuring procedural fairness perceptions (eg, Bies, Martin, & Brockner, 1993; Colquitt & Chertkoff, 1996; Gilliland, 1994), which is what Lind and Tyler (1988) labeled a direct measure (ie, a measure that directly asks respondents “how fair” a procedure is).”
- What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research (2021, background): “While understanding may have negligible effects on perceived fairness under favorable outcomes, it can improve perceived fairness under unfavorable outcomes [170].”
- PROCEDURAL JUSTICE, INTERACTIONAL JUSTICE, AND TASK PERFORMANCE: THE MEDIATING ROLE OF INTRINSIC MOTIVATION (2009, background): “With few exceptions (e.g., Bell, Wiechmann, & Ryan, 2006; Colquitt & Chertkoff, 2002), scholars have failed to examine the motivational consequences of other justice dimensions.”