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Cited by 180

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

License to Ill: The Effects of Corporate Social Responsibility and CEO Moral Identity on Corporate Social Irresponsibility

Ormiston, Margaret E., Wong, Elaine M.·2013·Personnel Psychology

Abstract

Although managers and researchers have invested considerable effort into understanding corporate social responsibility (CSR), less is known about corporate social irresponsibility (CSiR). Drawing on strategic leadership and moral licensing research, we address this gap by considering the relationship between CSR and CSiR. We predict that prior CSR is positively associated with subsequent CSiR because the moral credits achieved through CSR enable leaders to engage in less ethical stakeholder treatment. Further, we hypothesize that leaders’ moral identity symbolization, or the degree to which being moral is expressed outwardly to the public through actions and behavior, will moderate the CSR–CSiR relationship, such that the relationship will be stronger when CEOs are high on moral identity symbolization rather than low on moral identity symbolization. Through an archival study of 49 Fortune 500 firms, we find support for our hypotheses.

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Metadata

Authors
Ormiston, M. E., & Wong, E. M.
Venue
Personnel Psychology
Publisher
Wiley
Published
2013-05-14
Volume
66
Issue
4
Pages
861-893
ISSN
  • 0031-5826 (ISSN-L)
  • 1744-6570
OpenAlex
W2003361502
Cited by
180
References
10
FWCI
22.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: License to Ill: The Effects of Corporate Social Responsibility and CEO Moral Identity on Corporate Social Irresponsibility. https://app.cochat.ai/papers/10.1111/peps.12029
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Ormiston, M. E., & Wong, E. M. (2013). License to Ill: The Effects of Corporate Social Responsibility and CEO Moral Identity on Corporate Social Irresponsibility. Personnel Psychology. https://doi.org/10.1111/peps.12029

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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.