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Design of Consumer Review Systems and Product Pricing

Author

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  • Yabing Jiang

    (Lutgert College of Business, Florida Gulf Coast University, Fort Myers, Florida 33965)

  • Hong Guo

    (Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556)

Abstract

Consumer review systems have become an important marketing communication tool through which consumers share and learn product information. Although there is abundant evidence that consumer reviews have a significant impact on product sales, the design of consumer review systems and its impact on review outcomes and product sales have not yet been well examined. This paper analyzes firms’ review system design and product pricing strategies. We formally model two review system design decisions—what rating scale cardinality to use and whether to offer granular review reports. We show that firms’ optimal design and pricing strategies critically depend on contextual characteristics such as product valuation, product mainstream level, and consumer misfit cost. Our results suggest that it is beneficial to host a review system only when the product valuation is higher than a threshold. Furthermore, firms should choose low rating scale cardinality for niche products and high rating scale cardinality for mainstream products. When consumers’ misfit cost is relatively high, including granular reports in the review system enables firms to attract the favorable consumer segment. Different pricing strategies should be deployed during the initial sale period for different product types. For niche products, firms are advised to adopt lower-bound pricing for high-quality products to take advantage of the positive word of mouth. For mainstream products, firms are advised to adopt upper-bound pricing for high-quality products to enjoy the direct profit from the initial sale period, even after taking into account the negative impact of high price on consumer reviews.

Suggested Citation

  • Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
  • Handle: RePEc:inm:orisre:v:26:y:2015:i:4:p:714-730
    DOI: 10.1287/isre.2015.0594
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    9. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2019. "Omni-channel retailing: Do offline retailers benefit from online reviews?," International Journal of Production Economics, Elsevier, vol. 218(C), pages 43-61.
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    16. Tunç, Murat & Cavusoglu, Huseyin & Raghunathan, Srinivasan, 2021. "Online product reviews : Is a finer-grained rating scheme superior to a coarser one?," Other publications TiSEM ec57cbf3-7415-4427-aafc-6, Tilburg University, School of Economics and Management.
    17. Jiang, Cuixia & Zhou, Li & Xu, Qifa & Liu, Yezheng, 2022. "Home bias in reward-based crowdfunding and its impact on financing performance: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    18. Hongpeng Wang & Rong Du & Jin Li & Weiguo Fan, 2020. "Subdivided or aggregated online review systems: Which is better for online takeaway vendors?," Electronic Commerce Research, Springer, vol. 20(4), pages 915-944, December.
    19. Ni Huang & Tianshu Sun & Peiyu Chen & Joseph M. Golden, 2019. "Word-of-Mouth System Implementation and Customer Conversion: A Randomized Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 805-818, September.
    20. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
    21. Zhang, Tao & Li, Gang & Cheng, T.C.E. & Lai, Kin Keung, 2017. "Welfare economics of review information: Implications for the online selling platform owner," International Journal of Production Economics, Elsevier, vol. 184(C), pages 69-79.
    22. Wei Zhang & Linhui Sun & Xinping Wang & Anbo Wu, 2022. "The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 516-530, May.

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