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Cited by 283

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

Scepticism and corporate social responsibility communications: the influence of fit and reputation

Elving, Wim J.L.·2013·Journal of Marketing Communications

Abstract

Consumers tend to be sceptical about companies' corporate social responsibility (CSR) communications. We tested the influence of fit and reputation on consumer scepticism when confronted with a cause-related marketing (CRM) advertisement. In a 2 (fit vs. no fit) by 3 (bad reputation, unknown reputation, good reputation) between-subjects experimental design, 160 respondents were offered different versions of an advertisement for a fictitious brand of toilet paper. The lowest levels of scepticism were found when we manipulated a good reputation and a good fit between the company and the CSR domain. Companies are increasingly involved in CSR activities, and since doing good needs to be broadcast to the world; they often use various forms of communication to inform the public. Our results show that organizations need to be careful when communicating about their CSR.

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Metadata

Authors
Elving, W. J. L.
Venue
Journal of Marketing Communications
Published
2013-09
Volume
19
Issue
4
Pages
277-292
ISSN
  • 1352-7266 (ISSN-L)
  • 1466-4445
OpenAlex
W1974677583
Cited by
283
References
6
FWCI
17.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scepticism and corporate social responsibility communications: the influence of fit and reputation. https://app.cochat.ai/papers/10.1080/13527266.2011.631569
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Elving, W. J. L. (2013). Scepticism and corporate social responsibility communications: the influence of fit and reputation. Journal of Marketing Communications. https://doi.org/10.1080/13527266.2011.631569

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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.