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Cited by 162

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

How Do I Assess If My Supervisor and Organization are Fair? Identifying The Rules Underlying Entity-Based Justice Perceptions

Hollensbe, Elaine C., Khazanchi, Shalini, Masterson, Suzanne S.·2008·Academy of Management Journal

Abstract

Researchers have suggested that employees assess the fairness of important social entities such as supervisors and organizations, but little empirical research has examined the rules used in forming such justice judgments. Utilizing a qualitative design, we asked new job entrants to assess the fairness of their supervisor and organization, and to elaborate on the reasons underlying their assessments. Our results reveal that, although individuals did use rules reflecting the four traditional justice dimensions in assessing entity-based fairness, they more frequently used other rules, drawing on such information as the entity's attributes, their own affective state, and social information.

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Metadata

Authors
Hollensbe, E. C., Khazanchi, S., & Masterson, S. S.
Venue
Academy of Management Journal
Published
2008-12
Volume
51
Issue
6
Pages
1099-1116
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2322807624
Cited by
162
References
9
FWCI
13.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How Do I Assess If My Supervisor and Organization are Fair? Identifying The Rules Underlying Entity-Based Justice Perceptions. https://app.cochat.ai/papers/10.5465/amj.2008.35732600
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Hollensbe, E. C., Khazanchi, S., & Masterson, S. S. (2008). How Do I Assess If My Supervisor and Organization are Fair? Identifying The Rules Underlying Entity-Based Justice Perceptions. Academy of Management Journal. https://doi.org/10.5465/amj.2008.35732600

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.