IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v3y2008i5p482-497.html
   My bibliography  Save this article

An empirical Lotka-Volterra system for competition dynamics in the telecommunication sector of Sri Lanka

Author

Listed:
  • A.W. Wijeratne
  • J.A. Karunaratne
  • Chuncheng Wang
  • Junjie Wei

Abstract

The objective of the present research is to build an empirical Lotka-Volterra system using real-time data and information from two telecommunication service providers of Sri Lanka. The temporal change in market share of the two service providers was modelled by logistic population growth equation of which the coefficients were used as initial values to developing the competition system. Results show that the mobile telecom service providers and the fixed telephone service providers of Sri Lanka are in the process of reaching long-run stable coexistence equilibrium where they would own 83% and 17% shares of the market, respectively. The experimental procedure applied in the present research shows a path to linking mathematical models and economic theories with real-time information to build empirical models that address contemporary issues in life sciences for decision making.

Suggested Citation

  • A.W. Wijeratne & J.A. Karunaratne & Chuncheng Wang & Junjie Wei, 2008. "An empirical Lotka-Volterra system for competition dynamics in the telecommunication sector of Sri Lanka," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 3(5), pages 482-497.
    • Handle: RePEc:ids:ijbisy:v:3:y:2008:i:5:p:482-497
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=18599
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hoang-Sa Dang & Ying-Fang Huang & Chia-Nan Wang & Thuy-Mai-Trinh Nguyen, 2016. "An Application of the Short-Term Forecasting with Limited Data in the Healthcare Traveling Industry," Sustainability, MDPI, vol. 8(10), pages 1-14, October.

    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:ijbisy:v:3:y:2008:i:5:p:482-497. 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=172 .

    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.