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Does the distribution of ratings affect online grocery sales? Evidence from Amazon

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Listed:
  • Chinonso E. Etumnu
  • Kenneth Foster
  • Nicole O. Widmar
  • Jayson L. Lusk
  • David L. Ortega

Abstract

Understanding the distribution of online consumer ratings for food products can provide insights that aid supply chain decisions. Using a researcher‐collected web‐scraped panel data set from Amazon, this article quantifies the effect of number of ratings, average rating, variance of ratings, and skewness of the rating distribution. Results show that the number of ratings and each of these moments of the distribution of online consumer ratings affect ground coffee sales ranking. The size of the effect of the distribution of ratings was found to vary with respect to the sales level of the coffee products. The results suggest that the distribution of online ratings plays an important informational role in e‐commerce platforms. As online grocery shopping continues to increase in popularity, a greater understanding of how online ratings and reviews may impact sales or products are needed by those in the agricultural and food supply chain. In particular, these results provide retail managers with an array of online consumer rating attributes to use in their demand forecasts. [EconLit citations: D12, D83, L81, M31, Q11].

Suggested Citation

  • Chinonso E. Etumnu & Kenneth Foster & Nicole O. Widmar & Jayson L. Lusk & David L. Ortega, 2020. "Does the distribution of ratings affect online grocery sales? Evidence from Amazon," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 501-521, October.
    • Handle: RePEc:wly:agribz:v:36:y:2020:i:4:p:501-521
    DOI: 10.1002/agr.21653
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    References listed on IDEAS

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    Cited by:

    1. Chinonso E. Etumnu, 2022. "A competitive marketplace or an unfair competitor? An analysis of Amazon and its best sellers ranks," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 924-937, September.
    2. Varun Nayyar, 2022. "Reviewing the impact of digital migration on the consumer buying journey with robust measurement of PLS‐SEM and R Studio," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 542-556, May.
    3. Dipankar Das, 2022. "Measurement of Trustworthiness of the Online Reviews," Papers 2210.00815, arXiv.org, revised Nov 2023.
    4. Liu, Fu & Wei, Haiying & Wang, Xingyuan & Zhu, Zhenzhong & Chen, Haipeng Allan, 2023. "The influence of online review dispersion on consumers’ purchase intention: The moderating role of dialectical thinking," Journal of Business Research, Elsevier, vol. 165(C).

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