The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
More than Fit: Brand Extension Authenticity
Open accessAbstract
This article introduces a new determinant of brand extension success, brand extension authenticity (BEA), as a complement to fit. The authors develop the BEA construct and a scale to measure it and then demonstrate that BEA captures consumer perceptions of brand extension legitimacy and cultural contiguity along four interrelated but distinct dimensions: maintaining brand standards and style, honoring brand heritage, preserving brand essence, and avoiding brand exploitation. They demonstrate the power of BEA in predicting consumer reactions to brand extensions, particularly among consumers with strong self–brand connections. Not only is BEA distinct from two conceptualizations of fit in brand extension literature—fit as similarity and fit as relevance—but it also moderates the effects of both fit dimensions on brand extension responses. By capturing a cultural and consumer relational perspective that shapes reactions to brand extensions, BEA provides an important, complementary construct for predicting brand extension success and enhancing brand value. Brand managers attentive to BEA may be able to stretch brands further than assessments of fit alone would suggest, but they risk failure in otherwise well-fitting extensions perceived as inauthentic.
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Cites
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Consumers' Need for Uniqueness: Scale Development and Validation
Tian, K. T., Bearden, W. O., & Hunter, G. L. (2001) · Journal of Consumer Research · doi:10.1086/321947 · Cited by 1,791
The relational-interdependent self-construal and relationships.
Cross, S. E., Bacon, P. L., & Morris, M. L. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.78.4.791 · Cited by 1,092
Sprott, D., Czellar, S., & Spangenberg, E. (2009) · Journal of Marketing Research · doi:10.1509/jmkr.46.1.92 · Cited by 850
Cited by
Authenticity under threat: When social media influencers need to go beyond self-presentation
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
Authenticity in branding – exploring antecedents and consequences of brand authenticity
Fritz, K., Schoenmueller, V., & Bruhn, M. (2017) · European Journal of Marketing · doi:10.1108/ejm-10-2014-0633 · Cited by 486
Lehman, D. W., O’Connor, K., Kovács, B., & Newman, G. E. (2019) · Academy of Management Annals · doi:10.5465/annals.2017.0047 · Cited by 317
The authentic virtual influencer: Authenticity manifestations in the metaverse
Koles, B., Audrezet, A., Moulard, J. G., Ameen, N., & McKenna, B. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114325 · Cited by 254
(Monroe) Meng, L., Kou, S., Duan, S., & Bie, Y. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114874 · Cited by 80
Metadata
- Authors
- Spiggle, S., Nguyen, H. T., & Caravella, M.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2012-12
- Volume
- 49
- Issue
- 6
- Pages
- 967-983
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2055905813
- Cited by
- 334
- References
- 4
- FWCI
- 31.08
- Type
- journal article
- Language
- en
- Open access
- green
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