IDEAS home Printed from https://ideas.repec.org/a/taf/tjsmxx/v11y2017i4p335-345.html
   My bibliography  Save this article

Agent-based modelling and simulation in the analysis of customer behaviour on B2C e-commerce sites

Author

Listed:
  • Sava Čavoški
  • Aleksandar Marković

Abstract

This paper examines the development and application of agent-based modelling and simulation in the analysis of customer behaviour on B2C e-commerce websites as well as in the analysis of the effects of various business decisions regarding online sales. The methodology of the agent-based simulation used in this paper may significantly enhance the speed and quality of decision-making in electronic trade. The models developed for this research aim to improve the use of practical tools for the evaluation of the B2C online sales systems in that they allow for an investigation into the outcomes of varied strategies in the e-commerce site management as regards customer behaviour, website visits, scope of sales, income earned, etc. An agent-based simulation model developed for the needs of this research is able to track the interactions of key subjects in online sales: site visitors—prospective consumers, sellers with different business strategies, and suppliers.

Suggested Citation

  • Sava Čavoški & Aleksandar Marković, 2017. "Agent-based modelling and simulation in the analysis of customer behaviour on B2C e-commerce sites," Journal of Simulation, Taylor & Francis Journals, vol. 11(4), pages 335-345, November.
    • Handle: RePEc:taf:tjsmxx:v:11:y:2017:i:4:p:335-345
    DOI: 10.1057/s41273-016-0034-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/s41273-016-0034-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41273-016-0034-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    Statistics

    Access and download statistics

    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:taf:tjsmxx:v:11:y:2017:i:4:p:335-345. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjsm .

    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.