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User Reviews Variance, Critic Reviews Variance, and Product Sales: An Exploration of Customer Breadth and Depth Effects

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  • Wang, Feng
  • Liu, Xuefeng
  • Fang, Eric (Er)

Abstract

Online user reviews constitute a new element of the marketing communication mix that can significantly affect product sales. A general consensus holds that positive user reviews valence benefits product sales, yet the effect of variance is less intuitive and current findings are mixed. We propose that user reviews variance actually constitutes a double-edged sword that can either hurt or help product sales, depending on the variance of critic reviews and other quality signals. Three complementary studies in multiple industries (movies, digital cameras, and books) with multiple methods (secondary data analysis and behavioral experiment) reveal three key insights in this setting. First, after recognizing a high variance in user reviews, many potential buyers may simply exclude the focal product from their consideration sets for fear that it does not match their needs and preferences, which is termed the customer breadth effect. Second, high user reviews variance, in combination with high critic reviews variance, can elicit a sense of uniqueness and thus enhance purchase intentions of some consumers, which is termed the customer depth effect. Third, quality signals (e.g., product cost and product extension) can strengthen the positive customer depth effect. The overall effects of user reviews variance, therefore, can be negative, insignificant, or even positive. These findings have important theoretical and managerial implications.

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  • 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.
    • Handle: RePEc:eee:jouret:v:91:y:2015:i:3:p:372-389
    DOI: 10.1016/j.jretai.2015.04.007
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    as
    1. Yalch, Richard F & Elmore-Yalch, Rebecca, 1984. "The Effect of Numbers on the Route to Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 522-527, June.
    2. Judith Chevalier & Austan Goolsbee, 2003. "Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 203-222, June.
    3. Rajesh Bagchi & Xingbo Li, 2011. "Illusionary Progress in Loyalty Programs: Magnitudes, Reward Distances, and Step-Size Ambiguity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 888-901.
    4. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    5. George E. Newman & Margarita Gorlin & Ravi Dhar, 2014. "When Going Green Backfires: How Firm Intentions Shape the Evaluation of Socially Beneficial Product Enhancements," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 823-839.
    6. Simonson, Itamar & Nowlis, Stephen M, 2000. "The Role of Explanations and Need for Uniqueness in Consumer Decision Making: Unconventional Choices Based on Reasons," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(1), pages 49-68, June.
    7. Holbrook, Morris B, 1999. "Popular Appeal versus Expert Judgments of Motion Pictures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 144-155, September.
    8. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    9. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    10. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    11. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    12. Simonson, Itamar & Nowlis, Stephen M., 2000. "The Role of Explanations and Need for Uniqueness in Consumer Decision Making: Unconventional Choices Based on Reasons," Research Papers 1610, Stanford University, Graduate School of Business.
    13. Gerard J. Tellis & Joseph Johnson, 2007. "The Value of Quality," Marketing Science, INFORMS, vol. 26(6), pages 758-773, 11-12.
    14. Christopher K. Hsee & Yang Yang & Yangjie Gu & Jie Chen, 2009. "Specification Seeking: How Product Specifications Influence Consumer Preference," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(6), pages 952-966, April.
    15. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    16. West, Patricia M & Broniarczyk, Susan M, 1998. "Integrating Multiple Opinions: The Role of Aspiration Level on Consumer Response to Critic Consensus," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 38-51, June.
    17. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    18. Morgan K. Ward & Susan M. Broniarczyk, 2011. "It's Not Me, It's You: How Gift Giving Creates Giver Identity Threat as a Function of Social Closeness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(1), pages 164-181.
    19. Morris B. Holbrook & Michela Addis, 2007. "Taste versus the Market: An Extension of Research on the Consumption of Popular Culture," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 415-424, May.
    20. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
    21. 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.
    22. Khare, Adwait & Labrecque, Lauren I. & Asare, Anthony K., 2011. "The Assimilative and Contrastive Effects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings," Journal of Retailing, Elsevier, vol. 87(1), pages 111-126.
    23. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    24. William Boulding & Richard Staelin, 1995. "Identifying Generalizable Effects of Strategic Actions on Firm Performance: The Case of Demand-Side Returns to R&D Spending," Marketing Science, INFORMS, vol. 14(3_supplem), pages 222-236.
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    14. 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.
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    19. Ravula, Prashanth & Bhatnagar, Amit & Gauri, Dinesh K, 2023. "Role of gender in the creation and persuasiveness of online reviews," Journal of Business Research, Elsevier, vol. 154(C).
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