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Cited by 561

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

A Predictive Model of Self-Managing Work Team Effectiveness

Cohen, Susan G., Ledford, Gerald E., Spreitzer, Gretchen M.·1996·Human Relations

Abstract

This paper tests a theoretically-driven model of self-managing work team effectiveness. Self-managing work team effectiveness is defined as both high performance and employee quality of work life. Drawing on different theoretical perspectives including work design, self-leadership, sociotechnical, and participative management, four categories of variables are theorized to predict self-managing work team effectiveness: group task design, encouraging supervisor behaviors, group characteristics, and employee involvement context. Data is collected from both a set of self-managing and traditionally managed teams from a large telephone company, and the model is tested with structural equations modeling. Support is found for hypotheses concerning group task design, group characteristics, and employee involvement context, but not encouraging supervisory behaviors.

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Crossref · 10.1177/001872679604900506

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Metadata

Authors
Cohen, S. G., Ledford, G. E., & Spreitzer, G. M.
Venue
Human Relations
Published
1996-05
Volume
49
Issue
5
Pages
643-676
ISSN
  • 0018-7267 (ISSN-L)
  • 1741-282X
OpenAlex
W2168760171
Cited by
561
References
76
FWCI
20.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Predictive Model of Self-Managing Work Team Effectiveness. https://app.cochat.ai/papers/10.1177/001872679604900506
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Cohen, S. G., Ledford, G. E., & Spreitzer, G. M. (1996). A Predictive Model of Self-Managing Work Team Effectiveness. Human Relations. https://doi.org/10.1177/001872679604900506

Data sources

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.