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The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Perceptions of Organizational Politics

Ferris, Gerald R., Kacmar, K. Michele·1992·Journal of Management

Abstract

The political nature of work environments has been discussed for quite some time; however surprisingly little is known about the personal and situational factors that influence employees' perceptions of organizational politics. In this study, portions of a model of organizational politics perceptions proposed by Ferris, Russ, and Fandt (1989) were tested in two studies using samples reflecting considerable variability on jobs, age, sex, and education, as well as hierarchical level, across four different organizations. In Study 1, regression analyses, used to empirically examine a proposed model of organizational politics perceptions, demonstrated that feedback, job autonomy, skill variety, and opportunity for promotion contributed significantly to the explanation of variance in perceptions of organizational politics, after controlling for variance due to organization. In Study 2, a new expanded measure of organizational politics perceptions was used to provide a more refined analysis of the antecedents and consequences of politics perceptions. Directions for theoretical and empirical research on organizational politics are discussed in light of the present results.

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Metadata

Authors
Ferris, G. R., & Kacmar, K. M.
Venue
Journal of Management
Published
1992-03
Volume
18
Issue
1
Pages
93-116
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2100823815
Cited by
834
References
33
FWCI
7.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Perceptions of Organizational Politics. https://app.cochat.ai/papers/10.1177/014920639201800107
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Ferris, G. R., & Kacmar, K. M. (1992). Perceptions of Organizational Politics. Journal of Management. https://doi.org/10.1177/014920639201800107

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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.