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Prescription In Online Shopping : Proposal Of A Conceptual Framework Based On Wine Selling On The Internet
[La prescription dans le commerce en ligne : proposition d’un cadre conceptuel issu de la vente de vin par Internet]

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  • Thomas Stenger

    (CEREGE [Poitiers, La Rochelle] - Centre de recherche en gestion [EA 1722] - IAE Poitiers - Institut d'Administration des Entreprises (IAE) - Poitiers - UP - Université de Poitiers = University of Poitiers - UP - Université de Poitiers = University of Poitiers - ULR - La Rochelle Université)

Abstract

L'analyse des sites web des principaux cavistes en ligne et la mobilisation des travaux de Hatchuel sur la prescription permettent de proposer un cadre général pour l'étude et la conception de la relation d'achat en ligne autour de sept dimensions. Ce travail conduit ainsi à (ré)introduire le concept de prescripteur en marketing. Résumé A survey of the main french websites of wine selling on the Internet and the use of Hatchuel's works on " prescription relationship " drive to submit a framework to study and conceive online shopping around seven dimensions. This research work, therefore, allows the (re)introduction of the " prescriber " in marketing. Abstract Key w or ds : Prescription-Recommendation-Interactivity-Internet-Online shopping-Customer relationship-Decision aid – Wine.

Suggested Citation

  • Thomas Stenger, 2006. "Prescription In Online Shopping : Proposal Of A Conceptual Framework Based On Wine Selling On The Internet [La prescription dans le commerce en ligne : proposition d’un cadre conceptuel issu de la ," Post-Print hal-01631076, HAL.
    • Handle: RePEc:hal:journl:hal-01631076
    Note: View the original document on HAL open archive server: https://hal.science/hal-01631076
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    References listed on IDEAS

    as
    1. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    2. repec:dau:papers:123456789/654 is not listed on IDEAS
    3. Bernard Pras & Yves Evrard & Elyette Roux, 2003. "Market : études et recherches en marketing - Fondements, méthodes," Post-Print halshs-00150660, HAL.
    4. Joseph Alba & Chris Janiszewski & Richard Lutz & Alan Sawyer & Stacy Wood & John Lynch & Barton Weitz, 1998. "Achat interactif à domicile : Quels avantages pour les consommateurs, les distributeurs et les producteurs présents sur le marché électronique?," Post-Print hal-02017823, HAL.
    5. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    6. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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