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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Consumer Attitudes Toward Fashion Counterfeits: Application of the Theory of Planned Behavior

Kim, Hyejeong, Karpova, Elena·2010·Clothing and Textiles Research Journal

Abstract

This study examines consumer motivations that can explain attitudes toward purchasing fashion counterfeit goods and tests the underlying mechanism of intent to purchase fashion counterfeits based on the theory of planned behavior. A random sample of female college students (N = 336) participate in this study. Product appearance, past purchase behavior, value consciousness, and normative susceptibility are significant predictors of attitude toward buying fashion counterfeit goods. Attitude, subjective norm, and perceived behavioral control are significantly related to intent to purchase fashion counterfeit goods. This research extends the theory of planned behavior and tests two additional paths that significantly improve explanatory power of the theory and prediction of consumer intent to buy fashion counterfeit goods.

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Crossref · 10.1177/0887302x09332513

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Metadata

Authors
Kim, H., & Karpova, E.
Venue
Clothing and Textiles Research Journal
Published
2009-12-22
Volume
28
Issue
2
Pages
79-94
ISSN
  • 0887-302X (ISSN-L)
  • 1940-2473
OpenAlex
W2132327407
Cited by
232
References
5
FWCI
8.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Consumer Attitudes Toward Fashion Counterfeits: Application of the Theory of Planned Behavior. https://app.cochat.ai/papers/10.1177/0887302x09332513
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Kim, H., & Karpova, E. (2010). Consumer Attitudes Toward Fashion Counterfeits: Application of the Theory of Planned Behavior. Clothing and Textiles Research Journal. https://doi.org/10.1177/0887302x09332513

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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.