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Satisfaction à l’égard des moteurs de recommandation : la transparence optimale

Author

Listed:
  • Pauline Vautrot

    (numberly (1000mercis Group) - numberly (1000mercis Group) - numberly (1000mercis Group))

  • Christophe Benavent

    (CEROS - Centre d'Etudes et de Recherches sur les Organisations et la Stratégie - UPN - Université Paris Nanterre)

  • Pauline de Pechpeyrou

    (IRG - Institut de Recherche en Gestion - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

Abstract

L'objectif de la recherche est de tester l'impact d'une stratégie de transparence sur la satisfaction des internautes à l'égard des moteurs de recommandation. Une expérimentation longitudinale auprès de 52 répondants affectés de manière aléatoire à l'une des conditions (absence d'information, information simplifiée, information exhaustive) établit l'effet très clair de la modalité « information simplifiée » sur le niveau de confiance. C'est moins le contenu de l'information que le signal qui compte, et l'information simplifiée joue le rôle d'un gage d'autant plus efficace qu'il est contrôlable.

Suggested Citation

  • Pauline Vautrot & Christophe Benavent & Pauline de Pechpeyrou, 2018. "Satisfaction à l’égard des moteurs de recommandation : la transparence optimale," Post-Print hal-01713117, HAL.
    • Handle: RePEc:hal:journl:hal-01713117
    DOI: 10.36863/mds.a.3775
    as

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