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Faking it: Personality and individual difference predictors of willingness to buy counterfeit goods

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Author Info
Swami, Viren
Chamorro-Premuzic, Tomas
Furnham, Adrian
Abstract

Counterfeiting is now widely regarded as a serious social, economic, and political issue. This study examined demographic, personality, and individual difference predictors of willingness to buy counterfeit goods (WBCG) in a community sample of British adults. Two-hundred and thirty-seven participants completed a questionnaire that assessed their willingness to buy 19 types of counterfeit goods, attitudes towards counterfeiting, material values, Big Five personality traits, and demographics. Structural equation modelling showed that attitudes towards counterfeiting were the strongest predictors of WBCG. In addition, material values predicted both WBCG directly and indirectly through attitudes towards counterfeiting. Older participants showed lower WBCG, although this effect was moderated by participants' conscientiousness, material values, and attitudes towards counterfeiting. There were no sex differences in WBCG once participants' age and conscientiousness had been taken into account. These results are discussed in relation to the extant literature on the profiles of consumers who buy counterfeit products.

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Publisher Info
Article provided by Elsevier in its journal The Journal of Socio-Economics.

Volume (Year): 38 (2009)
Issue (Month): 5 (October)
Pages: 820-825
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:soceco:v:38:y:2009:i:5:p:820-825

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Web page: http://www.elsevier.com/locate/inca/620175

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords: Counterfeit goods Personality Material values Structural equation modelling;

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This page was last updated on 2009-12-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.