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Une analyse des comportements de recommandation de produits à partir des avis postés sur Amazon

Author

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  • Nessrine Omrani
  • Tasnime Omrani
  • Alain Rallet

Abstract

Amazon?s implementation of a rating system for goods is one of the major innovations of the e-commerce industry. This has led to new literature on the reasons behind consumers making use of the system, investigated using declarative surveys. This article examines this contributory behavior from data on Amazon?s website (i. e., information by consumers in their reviews). The extensive data have influenced choices in the United States (including cultural goods but excluding books), and the nature of the data prompted this interpretive work aimed at identifying and evaluating, by econometric models, the determinants mentioned in the literature, such as consumer satisfaction, engagement, and loyalty, as well as contextual variables. JEL Codes: O35, D12

Suggested Citation

  • Nessrine Omrani & Tasnime Omrani & Alain Rallet, 2024. "Une analyse des comportements de recommandation de produits à partir des avis postés sur Amazon," Innovations, De Boeck Université, vol. 0(1), pages 119-152.
    • Handle: RePEc:cai:inndbu:inno_pr2_0157
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    Keywords

    Online Reviews; Platforms; Consumer Behavior; Co-creation; E-commerce; Amazon;
    All these keywords.

    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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