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Cited by 474

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Why managers should care about fairness: The effects of aggregate justice perceptions on organizational outcomes.

Simons, Tony, Roberson, Quinetta·2003·Journal of Applied Psychology

Abstract

This work examines the aggregation of justice perceptions to the departmental level and the business-unit level, the impact of these aggregate perceptions on business-unit-level outcomes, and the usefulness of the distinction between procedural and interpersonal justice at different levels of analysis. Latent variables analyses of individual-level and department-level data from 4,539 employees in 783 departments at 97 hotel properties showed that the 2 justice types exercise unique paths of impact on employees' organizational commitment and thus on turnover intentions and discretionary service behavior. Business-unit-level analyses further demonstrate paths of association between aggregate justice perceptions, aggregate commitment levels, and the business-unit-level outcomes of employee turnover rates and customer satisfaction ratings.

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Metadata

Authors
Simons, T., & Roberson, Q.
Venue
Journal of Applied Psychology
Published
2003
Volume
88
Issue
3
Pages
432-443
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2130024399
Cited by
474
References
7
FWCI
21.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Why managers should care about fairness: The effects of aggregate justice perceptions on organizational outcomes. https://app.cochat.ai/papers/10.1037/0021-9010.88.3.432
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Simons, T., & Roberson, Q. (2003). Why managers should care about fairness: The effects of aggregate justice perceptions on organizational outcomes. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.88.3.432

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.