IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v20y2015i4p397-426.html
   My bibliography  Save this article

Multi-objective model for intelligence evaluation and selection of enterprise systems

Author

Listed:
  • Saeed Rouhani
  • Ahad Zare Ravasan

Abstract

Most organisations still experience a lack of business intelligence (BI) in their decision-making processes when implementing enterprise systems. The current state-of-the-art in decision support takes the intelligence requirements of enterprise systems as important quality aspects into consideration, along with their functional and non-functional needs, but the literature lacks studies on the evaluation of these intelligence requirements. This paper proposes a fuzzy, multi-criteria decision-making procedure and a multi-objective programming model to evaluate and make final decisions about the selection of enterprise systems that also include the requirements of business intelligence in addition to their other goals and requirements. In order to validate the model with a real application, all phases of the approach were applied in the evaluation of the enterprise systems of a company in the oil industry. Companies can use this model to evaluate, select and implement enterprise software and systems that will provide better decision support for their organisational environment.

Suggested Citation

  • Saeed Rouhani & Ahad Zare Ravasan, 2015. "Multi-objective model for intelligence evaluation and selection of enterprise systems," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 20(4), pages 397-426.
  • Handle: RePEc:ids:ijbisy:v:20:y:2015:i:4:p:397-426
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=72736
    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:20:y:2015:i:4:p:397-426. 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.