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Determinants of Online Word-of-Mouth: Evidence from Durable Goods Market

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  • Sharapudinov, S.
  • Zezerova, V.
  • Storchevoy, M.

Abstract

Online reviews became one of the most effective tools that influence consumer behavior and level of sales. In this paper we consider determinants of online review rating. The study is based on more than three thousand online reviews from Russian consumers of durable goods (electronics and home appliances). It was found that there is a significant difference in the level of influence between new and old reviews. Moreover, the higher the total numbers of reviews available, the higher the number of reviews taken into account by a particular consumer. Another finding is that both average online rank and price of a product are positively correlated with variance of reviews on that product. Based on the differences in the effectiveness of information transmission about quality of products, products were divided into two categories: "experience" products and "search" products. At the last stage, we provide an econometric model that allows to explain not only dynamic but also the direction of consumers’ rank of a product.

Suggested Citation

  • Sharapudinov, S. & Zezerova, V. & Storchevoy, M., 2017. "Determinants of Online Word-of-Mouth: Evidence from Durable Goods Market," Working Papers 8721, Graduate School of Management, St. Petersburg State University.
  • Handle: RePEc:sps:wpaper:8721
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    References listed on IDEAS

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    1. Miriam Tatzel, 2003. "The Art of Buying: Coming to Terms with Money and Materialism," Journal of Happiness Studies, Springer, vol. 4(4), pages 405-435, December.
    2. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    3. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    4. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    5. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    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. Robert V. Kozinets, 2016. "Amazonian Forests and Trees: Multiplicity and Objectivity in Studies of Online Consumer-Generated Ratings and Reviews, A Commentary on de Langhe, Fernbach, and Lichtenstein," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 834-839.
    9. Yili Hong & Pei-yu Chen & Lorin Hitt, 2014. "Measuring Product Type with Dynamics of Online Product Review Variances: A Theoretical Model and the Empirical Applications," Working Papers 14-03, NET Institute.
    10. Klein, Lisa R., 1998. "Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods," Journal of Business Research, Elsevier, vol. 41(3), pages 195-203, March.
    11. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    12. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    13. Singh, Jyoti Prakash & Irani, Seda & Rana, Nripendra P. & Dwivedi, Yogesh K. & Saumya, Sunil & Kumar Roy, Pradeep, 2017. "Predicting the “helpfulness” of online consumer reviews," Journal of Business Research, Elsevier, vol. 70(C), pages 346-355.
    14. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
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    Keywords

    word-of-mouth marketing; online word-of-mouth; online reviews; search and experience products; user behavior;
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