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Self-Preferencing and Search Neutrality in Online Retail Platforms

Author

Listed:
  • Tianxin Zou

    (Warrington College of Business, University of Florida, Gainesville, Florida 32611)

  • Bo Zhou

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Abstract

Recent regulations on search neutrality prohibit retail platforms from self-preferentially prioritizing their first-party products over those of third-party sellers in consumers’ search rankings. This paper shows that, despite its good intention, search neutrality may unintendedly harm consumers and third-party sellers because of the strategic decisions of the platform and third-party sellers. In the short term, search neutrality can weaken the price competition between the platform and third-party sellers, which will hurt consumers if many of them ex ante prefer the third-party product, and can increase the platform’s profit if many consumers ex ante prefer the first-party product. In the long term, search neutrality can incentivize the platform to preempt the entry of third-party sellers if their entry cost is intermediate, further harming consumers and third-party sellers. Both unintended harms stem from two unique features of online retailing platforms: platforms personalize consumers’ search rankings, and consumers observe product prices before searching a product in depth. Alternative formulations of search neutrality, consumers’ search costs, and their product match likelihoods are considered to demonstrate the robustness of the main results.

Suggested Citation

  • Tianxin Zou & Bo Zhou, 2025. "Self-Preferencing and Search Neutrality in Online Retail Platforms," Management Science, INFORMS, vol. 71(5), pages 4087-4107, May.
  • Handle: RePEc:inm:ormnsc:v:71:y:2025:i:5:p:4087-4107
    DOI: 10.1287/mnsc.2022.01795
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