The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
‘To trust or not to trust’: The impact of social media influencers on the reputation of corporate brands in crisis
Open accessAbstract
Corporates often partner with social media influencers to bolster brand image after crises. Although existing evidence suggests that influencers have largely positive effects on brands, there is paucity of research on the role of influencers in corporate crisis communications. Across two studies, we examine the impact of influencers on consumers’ perception of corporate brands responding to crises. Drawing on persuasion knowledge theory, we identify issues associated with brands engaging influencers, such as inference of manipulative intent, which negatively affects perceived trustworthiness and corporate reputation. The downside of employing influencers in crisis communications is, however, offset by the influencer and brand communicating values-driven motives of their partnership. Our findings imply that corporate brands should respond to crises through a bolstering strategy promoting existing corporate goodwill, without the influencer's involvement. When leveraging influencers’ support, however, brands should endeavor to inoculate against manipulative inferences by communicating values-driven motives behind the brand-influencer partnership.
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Cites
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Cited by
Pop, R.-A., Săplăcan, Z., Dabija, D.-C., & Alt, M.-A. (2022) · Current Issues in Tourism · doi:10.1080/13683500.2021.1895729 · Cited by 702
Instagram travel influencers in #quarantine: Communicative practices and roles during COVID-19
Femenia-Serra, F., Gretzel, U., & Alzua-Sorzabal, A. (2022) · Tourism Management · doi:10.1016/j.tourman.2021.104454 · Cited by 140
Metadata
- Authors
- Singh, J., Crisafulli, B., Quamina, L. T., & Xue, M. T.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 119
- Pages
- 464-480
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3016494746
- Cited by
- 215
- References
- 16
- FWCI
- 29.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.