The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Corporate Reputations: Should You Compete on Yours?
Abstract
While all companies would like a better corporate reputation, many are not sure what it takes to create a good reputation and others are not sure that they should use their good reputation to compete in their various markets. Mimicking the behavior of respected companies does not provide a reliable resolution to these dilemmas. This article presents a framework to help managers create a better corporate reputation for their organization and assist them in deciding whether to use this as a primary basis for competition. The article also exposes some of the main costs for an organization that decides to compete on its corporate reputation.
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Citations
Cites
Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility
Sen, S., & Bhattacharya, C. B. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.2.225.18838 · Cited by 4,659
Cited by
Customer-based corporate reputation of a service firm: scale development and validation
Walsh, G., & Beatty, S. E. (2007) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0015-7 · Cited by 899
Constructing a Corporate Social Responsibility Reputation Using Corporate Image Advertising
Pomering, A., & Johnson, L. W. (2009) · Australasian Marketing Journal · doi:10.1016/j.ausmj.2009.05.006 · Cited by 144
Lee, C.-Y. (2019) · Journal of Promotion Management · doi:10.1080/10496491.2018.1427651 · Cited by 90
Kautish, P., Khare, A., & Sharma, R. (2022) · Journal of Marketing Analytics · doi:10.1057/s41270-021-00134-7 · Cited by 25
Metadata
- Authors
- Dowling, G. R.
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 2004-04
- Volume
- 46
- Issue
- 3
- Pages
- 19-36
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W2331908834
- Cited by
- 297
- References
- 1
- FWCI
- 27.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Data sources
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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.
