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Cited by 461

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

The ‘Catch 22’ of communicating CSR: Findings from a Danish study

Morsing, Mette, Schultz, Majken, Nielsen, Kasper Ulf·2008·Journal of Marketing Communications

Abstract

This research explored the apparent ‘Catch 22’ of communicating Corporate Social Responsibility (CSR). Although companies are regularly encouraged to engage in CSR, they are simultaneously discouraged to communicate about this engagement. We contribute with two models that may help to explain how companies can best communicate about their CSR initiatives. Based on a reputation survey and two case studies of Danish corporate CSR frontrunners, first we develop an ‘inside‐out approach’ to suggest how managers can manage their CSR activities to achieve favourable CSR reputation in a ‘Catch 22’ context. Employees appear as a key component in building trustworthiness as CSR communication is shown to evolve when taking an ‘inside‐out approach’. Second, we develop a CSR communication model with two CSR communication processes targeting different stakeholder groups: ‘the expert CSR communication process’ and ‘the endorsed CSR communication process’. Integrating these models and processes may help companies strategically capture reputational advantage from their CSR initiatives.

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Metadata

Authors
Morsing, M., Schultz, M., & Nielsen, K. U.
Venue
Journal of Marketing Communications
Published
2008-04
Volume
14
Issue
2
Pages
97-111
ISSN
  • 1352-7266 (ISSN-L)
  • 1466-4445
OpenAlex
W2090413011
Cited by
461
References
18
FWCI
36.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The ‘Catch 22’ of communicating CSR: Findings from a Danish study. https://app.cochat.ai/papers/10.1080/13527260701856608
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Morsing, M., Schultz, M., & Nielsen, K. U. (2008). The ‘Catch 22’ of communicating CSR: Findings from a Danish study. Journal of Marketing Communications. https://doi.org/10.1080/13527260701856608

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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.