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A dynamic model assess e-mailing impacts on web visit and purchase by using Petri nets

Author

Listed:
  • Christine Balagué

    (HEC Paris - Recherche - Hors Laboratoire - HEC Paris - Ecole des Hautes Etudes Commerciales)

  • Janghyuk Lee

    (HEC Paris - Ecole des Hautes Etudes Commerciales)

Abstract

In this article, the authors introduce Petri nets to model the dynamics of Web site visits and purchase behaviors in the case of wish list systems. They describe Web site activities and their transition with probability distributions and model the sequential impact of influential factors through links that better explain Web purchase behavior dynamics. The basic model, which analyzes site connections and purchases to explain visit and purchase behavior, performs better than a classical negative binomial regression model. To demonstrate its flexibility, the authors extend the wish list Petri net model to measure the impact of e-mailing intervals on visit frequency and purchase.

Suggested Citation

  • Christine Balagué & Janghyuk Lee, 2004. "A dynamic model assess e-mailing impacts on web visit and purchase by using Petri nets," Post-Print hal-02550209, HAL.
    • Handle: RePEc:hal:journl:hal-02550209
    as

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