The DOI matches its Crossref record.
Celebrity Endorsements, Firm Value, and Reputation Risk: Evidence from the Tiger Woods Scandal
Abstract
We estimate the stock market effects of the Tiger Woods scandal on his sponsors and sponsors' competitors. In the 10–15 trading days after the onset of the scandal, the full portfolio of sponsors lost more than 2% of market value, with losses concentrated among the core three sponsors: Electronic Arts, Nike, and PepsiCo (Gatorade). Sponsors' day-by-day losses correlate strongly with Google search intensity regarding the endorsement-related impact of the scandal, as well as with qualitative indicators of “endorsement-related news.” At least some sponsors' losses were competitors' gains, suggesting that endorsement deals are partially a business-stealing strategy. However, competitors who were themselves celebrity endorsement intensive fared relatively worse than those who were not endorsement intensive, and that difference also correlates day by day with news/search intensity regarding the scandal. It appears that the scandal sent a negative marketwide signal about the reputation risk associated with celebrity endorsements. This paper was accepted by Pradeep Chintagunta, marketing.
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Cited by
Gatzert, N. (2015) · European Management Journal · doi:10.1016/j.emj.2015.10.001 · Cited by 256
Star power: the evolution of celebrity endorsement research
Yang, W. (2018) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2016-0543 · Cited by 123
Metadata
- Authors
- Knittel, C. R., & Stango, V.
- Venue
- Management Science
- Published
- 2014-01
- Volume
- 60
- Issue
- 1
- Pages
- 21-37
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2098783758
- Cited by
- 205
- References
- 0
- FWCI
- 29.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Knittel, C. R., & Stango, V. (2014). Celebrity Endorsements, Firm Value, and Reputation Risk: Evidence from the Tiger Woods Scandal. Management Science. https://doi.org/10.1287/mnsc.2013.1749
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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