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The role of reviewer badges in the dynamics of online reviews

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  • Yazdani, Elham
  • Gopinath, Shyam
  • Carson, Stephen J.

Abstract

In this research, we examine the role of reviewer badges in the spread of opinion in the context of online reviews. Specifically, we investigate how ratings from badged and non-badged reviewers influence the opinions of subsequent reviewers, how this influence varies depending on whether the subsequent reviewer is badged, and the dynamics of review time and recent product popularity. Using a multimethod approach and archival data covering a two-year period of 458,305 reviews for products in both hedonic and utilitarian categories on Amazon (with data from TripAdvisor as a robustness check), we uncover several unique insights. First, badged reviewers tend to give lower ratings than non-badged reviewers. Second, prior ratings from badged reviewers have a smaller positive influence on subsequent reviewers than ratings from non-badged reviewers. Third, when we distinguish between badged and non-badged subsequent reviewers, we find that ratings from prior non-badged reviewers have a negative effect on ratings awarded by subsequent badged reviewers. These three effects are consistent with badged reviewers’ drive to differentiate their reviews. Finally, we find that badged reviewers tend toward stronger differentiation behavior when the reviewed product has recently become available online and when it has a high proportion of recent reviews from non-badged reviewers. The findings have important implications for marketing managers seeking to influence the review-generation process for their products and for platform managers working to incentivize the quantity and quality of reviews on their websites by awarding badges or other forms of recognition.

Suggested Citation

  • Yazdani, Elham & Gopinath, Shyam & Carson, Stephen J., 2024. "The role of reviewer badges in the dynamics of online reviews," International Journal of Research in Marketing, Elsevier, vol. 41(3), pages 547-566.
  • Handle: RePEc:eee:ijrema:v:41:y:2024:i:3:p:547-566
    DOI: 10.1016/j.ijresmar.2024.01.003
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    References listed on IDEAS

    as
    1. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    2. Feder, Gershon & Savastano, Sara, 2006. "The role of opinion leaders in the diffusion of new knowledge: The case of integrated pest management," World Development, Elsevier, vol. 34(7), pages 1287-1300, July.
    3. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    4. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.
    5. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    6. Anjana Susarla & Jeong-Ha Oh & Yong Tan, 2012. "Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube," Information Systems Research, INFORMS, vol. 23(1), pages 23-41, March.
    7. Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 2000. "Network Effects and Welfare Cultures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 1019-1055.
    8. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    9. Solène Delecourt & Anne Fitzpatrick, 2021. "Childcare Matters: Female Business Owners and the Baby-Profit Gap," Management Science, INFORMS, vol. 67(7), pages 4455-4474, July.
    10. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
    11. Young-Jin Lee & Kartik Hosanagar & Yong Tan, 2015. "Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings," Management Science, INFORMS, vol. 61(9), pages 2241-2258, September.
    12. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    13. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    14. 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.
    15. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    16. Reingen, Peter H, et al, 1984. "Brand Congruence in Interpersonal Relations: A Social Network Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 771-783, December.
    17. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    18. Ann E. Schlosser, 2005. "Posting versus Lurking: Communicating in a Multiple Audience Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 260-265, September.
    19. Frenzen, Jonathan & Nakamoto, Kent, 1993. "Structure, Cooperation, and the Flow of Market Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 360-375, December.
    20. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    21. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    22. Linyi Li & Shyam Gopinath & Stephen J. Carson, 2022. "History Matters: The Impact of Online Customer Reviews Across Product Generations," Management Science, INFORMS, vol. 68(5), pages 3878-3903, May.
    23. Ali, Mazhar & Amir, Dr.Huma & Shamsi, Dr.Aamir, 2021. "Consumer Herding Behavior in Online Buying: A Literature Review," MPRA Paper 107435, University Library of Munich, Germany.
    24. Chong (Alex) Wang & Xiaoquan (Michael) Zhang & Il-Horn Hann, 2018. "Socially Nudged: A Quasi-Experimental Study of Friends’ Social Influence in Online Product Ratings," Information Systems Research, INFORMS, vol. 29(3), pages 641-655, September.
    25. 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.
    26. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
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