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Cited by 364

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

What Makes a Human Brand Authentic? Identifying the Antecedents of Celebrity Authenticity

Moulard, Julie Guidry, Garrity, Carolyn Popp, Rice, Dan Hamilton·2015·Psychology & Marketing

Abstract

While authenticity has received considerable attention in the marketing literature, the factors that influence the perceived authenticity of a celebrity's “human brand” have remained unexplored. This research fills this void by identifying the antecedents of celebrity authenticity, defined as the perception that a celebrity behaves according to his or her true self. Based on a qualitative analysis of an open‐ended survey completed by 218 adults and on previous authenticity literature and attribution theory, the authors propose two antecedents of celebrity authenticity—rarity and stability—that are each composed of three sub‐dimensions. Analyses of cross‐sectional survey data from a sample of 428 adults provide support for the hypotheses that stability and rarity positively influence celebrity authenticity. Additionally, based on aging stability theory, the authors predict and demonstrate that the effects of rarity and stability on celebrity authenticity are moderated by age.

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Metadata

Authors
Moulard, J. G., Garrity, C. P., & Rice, D. H.
Venue
Psychology & Marketing
Publisher
Wiley
Published
2015-01-14
Volume
32
Issue
2
Pages
173-186
ISSN
  • 0742-6046 (ISSN-L)
  • 1520-6793
OpenAlex
W1507994783
Cited by
364
References
7
FWCI
23.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What Makes a Human Brand Authentic? Identifying the Antecedents of Celebrity Authenticity. https://app.cochat.ai/papers/10.1002/mar.20771
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Moulard, J. G., Garrity, C. P., & Rice, D. H. (2015). What Makes a Human Brand Authentic? Identifying the Antecedents of Celebrity Authenticity. Psychology & Marketing. https://doi.org/10.1002/mar.20771

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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.