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Cited by 658

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Work‐home conflict among nurses and engineers: Mediating the impact of role stress on burnout and satisfaction at work

Bacharach, Samuel B., Bamberger, Peter, Conley, Sharon·1991·Journal of Organizational Behavior
DOI 10.1002/job.4030120104
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Abstract

Using structural equation modeling, this paper compares a more traditional, unmediated model of work‐based role stress and its consequences on job satisfaction and burnout to two models in which the role stress‐affective work outcome relationship is mediated (partially and completely) by work‐home conflict across two samples of public sector professionals: engineers and nurses. The findings indicate that a model in which role conflict and overload have both direct and indirect effects—via work‐home conflict—on job burnout and satisfaction (‘Partial Mediation’ model) achieves a better overall ‘fit’ than two alternative models. Furthermore, the findings suggest that while the two groups perceive many aspects of the work‐home relationship differently, for both groups, work‐based role conflict is an important antecedent of work‐home conflict, and increased burnout an important direct consequence of work‐home conflict. Finally, on the basis of the findings, the authors conclude that perspectives which view the work and non‐work realms as independent must be reconsidered, and that the nature of the work‐home relationship may, to a great extent, be contingent upon the way different occupational groups perceive their work situations.

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Metadata

Authors
Bacharach, S. B., Bamberger, P., & Conley, S.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
1991-01
Volume
12
Issue
1
Pages
39-53
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
DOI
10.1002/job.4030120104
OpenAlex
W2111046833
Cited by
658
References
43
FWCI
31.52
Type
journal article
Language
en
Open access
closed

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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.