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Cited by 1,382

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The contribution of corporate social responsibility to organizational commitment

Brammer, Stephen, Millington, Andrew, Rayton, Bruce·2007·The International Journal of Human Resource Management
DOI 10.1080/09585190701570866
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Abstract

This study investigates the relationship between organizational commitment and employee perceptions of corporate social responsibility (CSR) within a model that draws on social identity theory. Specifically, we examine the impact of three aspects of socially responsible behaviour on organizational commitment: employee perceptions of corporate social responsibility in the community, procedural justice in the organization and the provision of employee training. The relationship between organizational commitment and each aspect of CSR is investigated within a model that distinguishes between genders and includes a set of control variables that is drawn from the commitment literature (Meyer et al., Citation2002). The analysis is based on a sample of 4,712 employees drawn from a financial services company. The results emphasize the importance of gender variation and suggest both that external CSR is positively related to organizational commitment and that the contribution of CSR to organizational commitment is at least as great as job satisfaction.

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Citations

Cites

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Cited by

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Metadata

Authors
Brammer, S., Millington, A., & Rayton, B.
Venue
The International Journal of Human Resource Management
Publisher
Informa UK Limited
Published
2007-10
Volume
18
Issue
10
Pages
1701-1719
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
DOI
10.1080/09585190701570866
OpenAlex
W2006024212
Cited by
1,382
References
6
FWCI
44.93
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.