The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Transforming celebrities through social media: the role of authenticity and emotional attachment
Abstract
Purpose: Social media platforms are changing the way consumers and celebrities engage. This research aims to better understand how and why consumers use social media to engage with celebrities, and identify the potential antecedents and outcomes, which may result from these online connections. Design/methodology/approach: Both qualitative (two focus groups) and quantitative (survey) methods were used to explore consumer engagement with celebrities on social media. A structural model from the survey data was developed and analyzed. Findings: Textual analysis of the focus groups revealed that consumers follow celebrities on social media to obtain career and personal information about the celebrity. Further, authenticity and emotional attachment were identified as favorable aspects of following celebrities on social media. An empirical study confirmed that the constructs of authenticity and emotional attachment positively influence the outcomes of word-of-mouth and purchase likelihood. Research limitations/implications: The study was limited by the self-identification of a favorite celebrity and social media site. Future research should include empirical testing of specific celebrities featured on a specific social media site and the development of the constructs identified in the focus groups. Practical implications: This research sheds light on the antecedents and outcomes associated with consumer–celebrity engagement on social media. The implications for marketers and advertisers include a better understanding of how celebrities transform themselves and engage with consumers on social media. Originality/value: This paper fulfills an identified need to study authenticity and emotional attachment as they relate to celebrities and consumers’ engagements on social media.
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Cites
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Reconsidering Baron and Kenny: myths and truths about mediation analysis
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The methodology of Focus Groups: the importance of interaction between research participants
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From acts to dispositions the attribution process in person perception
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The Ties That Bind: Measuring the Strength of Consumers’ Emotional Attachments to Brands
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A Multicomponent Conceptualization of Authenticity: Theory and Research
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Audrezet, A., de Kerviler, G., & Guidry Moulard, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.008 · Cited by 1,452
Instafamous and social media influencer marketing
Jin, S. V., Muqaddam, A., & Ryu, E. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-09-2018-0375 · Cited by 1,020
Ladhari, R., Massa, E., & Skandrani, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.102027 · Cited by 557
What makes followers loyal? The role of influencer interactivity in building influencer brand equity
Jun, S., & Yi, J. (2020) · Journal of Product & Brand Management · doi:10.1108/jpbm-02-2019-2280 · Cited by 340
Taillon, B. J., Mueller, S. M., Kowalczyk, C. M., & Jones, D. N. (2020) · Journal of Product & Brand Management · doi:10.1108/jpbm-03-2019-2292 · Cited by 298
Self-citation
Metadata
- Authors
- Kowalczyk, C. M., & Pounders, K. R.
- Venue
- Journal of Product & Brand Management
- Publisher
- Emerald
- Published
- 2016-07-18
- Volume
- 25
- Issue
- 4
- Pages
- 345-356
- ISSN
- 1061-0421 (ISSN-L)
- OpenAlex
- W2506867578
- Cited by
- 288
- References
- 8
- FWCI
- 27.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kowalczyk, C. M., & Pounders, K. R. (2016). Transforming celebrities through social media: the role of authenticity and emotional attachment. Journal of Product & Brand Management. https://doi.org/10.1108/jpbm-09-2015-0969
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.