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Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category

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  • Li, Kunlin
  • Chen, Yuhan
  • Zhang, Liyi

Abstract

Online reviews, which significantly influence product sales, have been a central research topic in the field of marketing. Meanwhile, some motivating factors related to online retailers have been linked to product sales. While several articles have examined the impact between online reviews and motivating factors on product sales, many of the conclusions drawn are contradictory. From 28 studies focusing on online reviews and sales, this study performs a meta-analysis to analyze the true impacts of six review-related factors (i.e., the number of reviews, star ratings, standard deviation of ratings, helpfulness, review length and sentiment), and two motivating factors (i.e., price discounts and special shipping) on product sales. Meanwhile, this paper also studies how one product-related factor (i.e., product age) and one reviewer-related factor (i.e., reviewer's reputation) influence the relationship between online reviews and product sales. In addition, to study the moderating effect of product category, we divide the selected literature into two subgroups which are search and experience products. The results indicate that only review length and special shipping have no significant impact on product sales, while product category has a valid and specific moderating effect on the relationship between these determinants and sales. The presented conclusions will have important implications for academic research and for future industry practice.

Suggested Citation

  • Li, Kunlin & Chen, Yuhan & Zhang, Liyi, 2020. "Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    • Handle: RePEc:eee:joreco:v:55:y:2020:i:c:s0969698919304011
    DOI: 10.1016/j.jretconser.2020.102107
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    1. Girard, Tulay & Dion, Paul, 2010. "Validating the search, experience, and credence product classification framework," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1079-1087, September.
    2. Park, Cheol & Lee, Thae Min, 2009. "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Elsevier, vol. 62(1), pages 61-67, January.
    3. Weisstein, Fei L. & Song, Lei & Andersen, Peter & Zhu, Ying, 2017. "Examining impacts of negative reviews and purchase goals on consumer purchase decision," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 201-207.
    4. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    5. Dixit, Saumya & Jyoti Badgaiyan, Anant & Khare, Arpita, 2019. "An integrated model for predicting consumer's intention to write online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 112-120.
    6. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    7. 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.
    8. 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.
    9. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    10. 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.
    11. Qihua Liu & Shan Huang & Liyi Zhang, 2016. "The influence of information cascades on online purchase behaviors of search and experience products," Electronic Commerce Research, Springer, vol. 16(4), pages 553-580, December.
    12. Jiménez, Fernando R. & Mendoza, Norma A., 2013. "Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 226-235.
    13. Rese, Alexandra & Schreiber, Stefanie & Baier, Daniel, 2014. "Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews?," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 869-876.
    14. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    15. Meiseberg, Brinja, 2016. "The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products," Journal of Retailing, Elsevier, vol. 92(3), pages 319-332.
    16. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    17. Jessica Gurevitch & Julia Koricheva & Shinichi Nakagawa & Gavin Stewart, 2018. "Meta-analysis and the science of research synthesis," Nature, Nature, vol. 555(7695), pages 175-182, March.
    18. Jehoshua Eliashberg & Mohanbir S. Sawhney, 1994. "Modeling Goes to Hollywood: Predicting Individual Differences in Movie Enjoyment," Management Science, INFORMS, vol. 40(9), pages 1151-1173, September.
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