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Cited by 324

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Reexamining the Job Satisfaction-Performance Relationship: The Complexity of Attitudes.

Schleicher, Deidra J., Watt, John D., Greguras, Gary J.·2004·Journal of Applied Psychology

Abstract

The present article argues that organizational researchers tend to adopt an overly simplistic conceptualization and operationalization of job satisfaction (and job attitudes in general). Specifically, past research has failed to examine the affective-cognitive consistency (ACC) of job attitudes and the implications this has for the strength of the attitude and its relationship with behavior (e.g., job performance). Results from Study 1 suggest ACC is a significant moderator of the job satisfaction-job performance relationship, with those employees higher in ACC showing a significantly larger correlation between job satisfaction and performance than those lower in ACC. Study 2 replicated these findings. Implications for the study of job attitudes, limitations of the current studies, and multiple avenues for future research are discussed.

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Metadata

Authors
Schleicher, D. J., Watt, J. D., & Greguras, G. J.
Venue
Journal of Applied Psychology
Published
2004
Volume
89
Issue
1
Pages
165-177
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2062916171
Cited by
324
References
66
FWCI
8.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reexamining the Job Satisfaction-Performance Relationship: The Complexity of Attitudes. https://app.cochat.ai/papers/10.1037/0021-9010.89.1.165
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Schleicher, D. J., Watt, J. D., & Greguras, G. J. (2004). Reexamining the Job Satisfaction-Performance Relationship: The Complexity of Attitudes. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.89.1.165

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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.