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Cited by 547

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Spot the difference: consumer responses towards counterfeits

Hoon Ang, Swee, Sim Cheng, Peng, Lim, Elison A.C., Kuan Tambyah, Siok·2001·Journal of Consumer Marketing

Abstract

Examines consumers’ motivation for buying counterfeits or pirated goods. The findings indicated that, compared to those who did not buy pirated music CDs, those who bought the counterfeits viewed such purchases as less risky, and trusted stores that sell counterfeits more. They did not see counterfeits as too unfair to singers or the music industry, thought they benefit the society more, and did not see people who buy them as unethical. We also investigated the influence of social, personality, and demographic factors on consumers’ attitude towards piracy. We found that the more value-conscious and less normatively susceptible one was, and the less integrity one had, the more favorable was one’s attitude towards piracy. Demographic characteristics were also significant in influencing attitude. Males and those from lower income groups held more favorable attitudes. Finally, attitude towards piracy was significant in influencing purchase intention.

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Crossref · 10.1108/07363760110392967

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Metadata

Authors
Hoon Ang, S., Sim Cheng, P., Lim, E. A. C., & Kuan Tambyah, S.
Venue
Journal of Consumer Marketing
Publisher
Emerald
Published
2001-06-01
Volume
18
Issue
3
Pages
219-235
ISSN
  • 0736-3761 (ISSN-L)
  • 2052-1200
OpenAlex
W1987933839
Cited by
547
References
1
FWCI
15.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spot the difference: consumer responses towards counterfeits. https://app.cochat.ai/papers/10.1108/07363760110392967
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Hoon Ang, S., Sim Cheng, P., Lim, E. A. C., & Kuan Tambyah, S. (2001). Spot the difference: consumer responses towards counterfeits. Journal of Consumer Marketing. https://doi.org/10.1108/07363760110392967

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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.