IDEAS home Printed from https://ideas.repec.org/a/ids/ijemre/v5y2012i1p63-76.html
   My bibliography  Save this article

Framework for simulating random clickstream data

Author

Listed:
  • Mansour Abdoli
  • Paul Savory
  • F. Fred Choobineh

Abstract

Improving e-store productivity requires well designed algorithms that are efficient in modelling the online behaviour of customers. However, due to competitive pressures and privacy concerns, e-commerce data is often not readily available to researchers. As a result, the pace of innovation for e-store design and applications is restricted. As a solution, this research develops a framework for generating random clickstream data representing online behaviour of visitors to an e-store. The framework is implemented into a discrete-event simulator that models a hypothetical e-store. Key outcomes from the research are the development of the simulator, the structure of the e-store, the parameterisation used to model the e-store and visitors, and the implementation of automated sales agents. The generated clickstream data was verified to represent what one expects from a real e-store.

Suggested Citation

  • Mansour Abdoli & Paul Savory & F. Fred Choobineh, 2012. "Framework for simulating random clickstream data," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 5(1), pages 63-76.
    • Handle: RePEc:ids:ijemre:v:5:y:2012:i:1:p:63-76
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=47594
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijemre:v:5:y:2012:i:1:p:63-76. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=43 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.