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Consumer Segmentation and the Information Rule of Online Reviews in Horizontally Differentiated Product Markets

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E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life (WEB 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 108))

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Abstract

Previous studies have explored the impact of online reviews on product sales at the aggregate level. This study contributes to the literature by investigating how online reviews take effect at the individual consumer level in a horizontally differentiated product market. We empirically test our hypotheses using data from a popular review website in China and consumers’ actual dining records. We find evidence that the information role of online reviews is moderated by consumers’ geographical locations. Our results have implications for consumer segmentation and targeting of consumers through local market advertising.

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References

  1. ComScore: Online Consumer-Generated Reviews Have Significant Impact on Offline Purchase Behavior (2007)

    Google Scholar 

  2. Chevalier, J.A., Mayzlin, D.: The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research (JMR) 43(3), 345–354 (2006)

    Article  Google Scholar 

  3. Dellarocas, C., Zhang, X., Awad, N.F.: Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing 21(4), 23–45 (2007)

    Article  Google Scholar 

  4. Duan, W., Gu, B., Whinston, A.B.: Do online reviews matter? – An empirical investigation of panel data. Decision Support Systems 45(4), 1007–1016 (2008)

    Article  Google Scholar 

  5. Forman, C., Ghose, A., Wiesenfeld, B.: Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems Research 19(3), 291–313 (2008)

    Article  Google Scholar 

  6. Zhu, F., Zhang, X.: Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics. Journal of Marketing 74(2), 133–148 (2010)

    Article  Google Scholar 

  7. Bronnenberg, B.J., Mahajan, V.: Unobserved Retailer Behavior in Multimarket Data: Joint Spatial Dependence in Market Shares and Promotion Variables. Marketing Science 20(3), 284–299 (2001)

    Article  Google Scholar 

  8. Hofstede, F.T., Wedel, M., Steenkamp, J.-B.E.M.: Identifying Spatial Segments in International Markets. Marketing Science 21(2), 160–177 (2002)

    Article  Google Scholar 

  9. Jank, W., Kannan, P.K.: Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice. Marketing Science 24(4), 623–634 (2005)

    Article  Google Scholar 

  10. Liu, Y.: Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue. Journal of Marketing 70(3), 74–89 (2006)

    Article  Google Scholar 

  11. Godes, D., Mayzlin, D.: Using Online Conversations to Study Word-of-Mouth Communication. Marketing Science 23(4), 545–560 (2004)

    Article  Google Scholar 

  12. Clemons, E.K., Gao, G.G., Hitt, L.M.: When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry. Journal of Management Information Systems 23(2), 149–171 (2006)

    Article  Google Scholar 

  13. Stigler, G.J.: The Economics of Information. The Journal of Political Economy 69(3), 213–225 (1961)

    Article  Google Scholar 

  14. Nelson, P.: Information and Consumer Behavior. The Journal of Political Economy 78(2), 311–329 (1970)

    Article  Google Scholar 

  15. Ramon, C., Vives, X.: Why Market Shares Matter: An Information-Based Theory. The RAND Journal of Economics 27(2), 221–239 (1996)

    Article  Google Scholar 

  16. Hellofs, L.L., Jacobson, R.: Market Share and Customers’ Perceptions of Quality: When Can Firms Grow Their Way to Higher Versus Lower Quality? Journal of Marketing 63(1), 16–25 (1999)

    Article  Google Scholar 

  17. Dellarocas, C., Narayan, R.: A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth. Statistical Science 21(2), 277–285 (2006)

    Article  Google Scholar 

  18. Anderson, E.W.: Customer Satisfaction and Word of Mouth. Journal of Service Research 1(1), 5–17 (1998)

    Article  Google Scholar 

  19. Guadagni, P.M., Little, J.D.C.: A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Science 2(3), 203–238 (1983)

    Article  Google Scholar 

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Wang, Q., Goh, K.Y. (2012). Consumer Segmentation and the Information Rule of Online Reviews in Horizontally Differentiated Product Markets. In: Shaw, M.J., Zhang, D., Yue, W.T. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2011. Lecture Notes in Business Information Processing, vol 108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29873-8_21

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  • DOI: https://doi.org/10.1007/978-3-642-29873-8_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29872-1

  • Online ISBN: 978-3-642-29873-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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