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Cited by 334

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 access
Spiggle, Susan, Nguyen, Hang T., Caravella, Mary·2012·Journal of Marketing Research

Abstract

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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Metadata

Authors
Spiggle, S., Nguyen, H. T., & Caravella, M.
Venue
Journal of Marketing Research
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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CoChat. (2026). Citation check: More than Fit: Brand Extension Authenticity. https://app.cochat.ai/papers/10.1509/jmr.11.0015
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Spiggle, S., Nguyen, H. T., & Caravella, M. (2012). More than Fit: Brand Extension Authenticity. Journal of Marketing Research. https://doi.org/10.1509/jmr.11.0015

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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.