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Cited by 401

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The consequences of organizational commitment: Methodological investigation

Randall, Donna M.·1990·Journal of Organizational Behavior

Abstract

Extensive research on the consequences of organizational commitment (OC) has been conducted over the past decade. The purpose of this paper is to summarize empirical evidence about the relationship between OC and work outcomes and to examine the effect of methodological decisions on the OC–work outcome relationship. A meta‐analysis of 35 studies of the OC–work outcome linkage reveals that the overall empirical relationship between OC and outcome variables is generally weak, but positive. While subgroup analyses reveal that conceptualization, research design, sampling, operationalization and observation technique decisions have a definite impact on the OC–work outcome correlation, the relationship remains essentially weak. Multiple regression analysis reveals that the type of work outcome and methodological decisions explain only 19 per cent of the variance in the OC–work outcome relationship, with conceptualization decisions having the largest impact.

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Metadata

Authors
Randall, D. M.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
1990-09
Volume
11
Issue
5
Pages
361-378
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2059422156
Cited by
401
References
2
FWCI
9.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The consequences of organizational commitment: Methodological investigation. https://app.cochat.ai/papers/10.1002/job.4030110504
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Randall, D. M. (1990). The consequences of organizational commitment: Methodological investigation. Journal of Organizational Behavior. https://doi.org/10.1002/job.4030110504

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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.