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Antecedents of organizational commitment and the mediating role of job satisfaction

Lok, Peter, Crawford, John·2001·Journal of Managerial Psychology

Abstract

Investigates the relationships between employees’ perceptions of organisational culture and subculture, and job satisfaction and commitment. Questionnaires containing the above measures were distributed to nurses employed in seven large hospitals and a total of 251 responses were obtained. Measures of leadership style and employee demographics were also included in the questionnaire. Regression analysis was used to investigate the extent to which nurses’ job satisfaction and commitment to their wards are predicted by their perceptions of the hospitals’ cultures (or organisational culture), the cultures of their wards (or organisation subculture), the leadership styles of their ward managers, and several demographic characteristics including age, experience, education and job tenure. It was found that ward culture was more predictive of commitment than was hospital culture. Also, statistically controlling for job satisfaction did not substantially reduce the influence on commitment of any of the independent variables included in this study. The results suggest that managers may need to focus more on organizational subcultures in generating greater commitment among employees.

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Metadata

Authors
Lok, P., & Crawford, J.
Venue
Journal of Managerial Psychology
Publisher
Emerald
Published
2001-12-01
Volume
16
Issue
8
Pages
594-613
ISSN
0268-3946 (ISSN-L)
OpenAlex
W1964366987
Cited by
487
References
0
FWCI
8.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antecedents of organizational commitment and the mediating role of job satisfaction. https://app.cochat.ai/papers/10.1108/eum0000000006302
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Lok, P., & Crawford, J. (2001). Antecedents of organizational commitment and the mediating role of job satisfaction. Journal of Managerial Psychology. https://doi.org/10.1108/eum0000000006302

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.