IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v9y2012i2p149-168.html
   My bibliography  Save this article

An artificial neural network-based DSS to prioritise information technology and its complementary investments in industrial firms

Author

Listed:
  • Abbas Keramati
  • Navid Mojir
  • Masoud Afshari-Mofrad
  • Iman Jahanandish
  • Ali Derakhshani

Abstract

The impact of IT usage on performance and other organisation's outputs is an important issue for both practitioners and academics. Evidence shows that despite a vast percentage of firm's budget which has spent on IT is continuing increasingly, there are some failures of firms in obtaining the benefits of these expenditures within expected period. To solve this problem, managers have to consider complementary investments. In this paper a decision support system is developed for prioritising investments on the information technology (IT) and its complementary investment using data of 102 car part suppliers in Iran. This software is developed using an artificial neural network and results are validated finally. One of the main specifications of this DSS is investigating on IT aspects at the firm level, which can help top management during decision making process to allocate budget properly in the most significant aspects of IT investment inside their own company.

Suggested Citation

  • Abbas Keramati & Navid Mojir & Masoud Afshari-Mofrad & Iman Jahanandish & Ali Derakhshani, 2012. "An artificial neural network-based DSS to prioritise information technology and its complementary investments in industrial firms," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 9(2), pages 149-168.
    • Handle: RePEc:ids:ijbisy:v:9:y:2012:i:2:p:149-168
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=45168
    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:ijbisy:v:9:y:2012:i:2:p:149-168. 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.