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Self-Expression Cues in Product Rating Distributions: When People Prefer Polarizing Products

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  • Bella Rozenkrants
  • S Christian Wheeler
  • Baba Shiv
  • Gita JoharEditor
  • Derek RuckerAssociate Editor

Abstract

Previous research has shown that material goods can help people self-express, either because the products are themselves self-expressive (e.g., a band T-shirt) or because the products are associated with a desired group. This article examines a new signal of self-expressiveness: whether the product is polarizing—that is, whether some people strongly like the product and other people strongly dislike the product. Eight studies examine how polarization and its associated indicator in the online domain (a bimodal distribution of user star ratings) affects consumer preferences. The results indicate that polarizing products are perceived to be more self-expressive and to serve as stronger indicators of one’s tastes and personality. As a result, people find products with bimodal rating distributions to be more desirable when they experience temporary or chronic low self-concept clarity. Further, people evaluate products with bimodal distributions more favorably in consumption contexts in which self-expression is important. These effects emerge when the bimodal distribution pertains to a self-expressive attribute (e.g., style) but not when it pertains to a non-self-expressive attribute (e.g., quality). Last, the effect is especially strong when people have the motivation to express an individual- rather than group-level identity. Hence, polarizing products are seen as vehicles for individual self-expression.

Suggested Citation

  • Bella Rozenkrants & S Christian Wheeler & Baba Shiv & Gita JoharEditor & Derek RuckerAssociate Editor, 2017. "Self-Expression Cues in Product Rating Distributions: When People Prefer Polarizing Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(4), pages 759-777.
  • Handle: RePEc:oup:jconrs:v:44:y:2017:i:4:p:759-777.
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    1. Cindy Chan & Jonah Berger & Leaf Van Boven, 2012. "Identifiable but Not Identical: Combining Social Identity and Uniqueness Motives in Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(3), pages 561-573.
    2. Katherine White & Jennifer J. Argo & Jaideep Sengupta, 2012. "Dissociative versus Associative Responses to Social Identity Threat: The Role of Consumer Self-Construal," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 704-719.
    3. S. Christian Wheeler & Richard E. Petty & George Y. Bizer, 2005. "Self-Schema Matching and Attitude Change: Situational and Dispositional Determinants of Message Elaboration," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 31(4), pages 787-797, March.
    4. Belk, Russell W, 1988. "Possessions and the Extended Self," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(2), pages 139-168, September.
    5. Wang, Feng & Liu, Xuefeng & Fang, Eric (Er), 2015. "User Reviews Variance, Critic Reviews Variance, and Product Sales: An Exploration of Customer Breadth and Depth Effects," Journal of Retailing, Elsevier, vol. 91(3), pages 372-389.
    6. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    7. Stephen X. He & Samuel D. Bond, 2015. "Why Is the Crowd Divided? Attribution for Dispersion in Online Word of Mouth," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1509-1527.
    8. Katherine White & Jennifer J. Argo, 2011. "When Imitation Doesn't Flatter: The Role of Consumer Distinctiveness in Responses to Mimicry," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(4), pages 667-680.
    9. Jonah Berger & Chip Heath, 2007. "Where Consumers Diverge from Others: Identity Signaling and Product Domains," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(2), pages 121-134, June.
    10. Derek D. Rucker & Adam D. Galinsky, 2008. "Desire to Acquire: Powerlessness and Compensatory Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(2), pages 257-267, April.
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