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Electronic agents on the Internet: A new way to satisfy the consumer?

Author

Listed:
  • Sylvie Rolland

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Déborah Wallet-Wodka

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Our purpose in this article is to present the concept of electronic agent used in e-commerce and its impact on consumer satisfaction. Electronic agents represent the future of electronic business. They help the consumers in an environment where all the information is available but hard to deal with. We try to study the electronic agent in a consumer decision process perspective and to examine the different sort of agents depending on their relationships with vendors and consumers. Our final aim is to understand the role of electronic agent onconsumer satisfaction. For that purpose, we conducted a little empirical study which consist in presenting two types of agents to consumers: a good one and a bad one and to evaluate the level of consumer satisfaction.

Suggested Citation

  • Sylvie Rolland & Déborah Wallet-Wodka, 2003. "Electronic agents on the Internet: A new way to satisfy the consumer?," Post-Print halshs-00143040, HAL.
    • Handle: RePEc:hal:journl:halshs-00143040
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00143040
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    References listed on IDEAS

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    1. Pierre Volle, 2000. "Du marketing des points de vente à celui des sites marchands : spécificités, opportunités et questions de recherche," Post-Print halshs-00164832, HAL.
    2. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    3. Pierre Desmet, 2005. "Politique de prix," Post-Print halshs-00143465, HAL.
    4. Mitchell, V. -W., 2001. "Re-conceptualizing consumer store image processing using perceived risk," Journal of Business Research, Elsevier, vol. 54(2), pages 167-172, November.
    5. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    6. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

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