IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v22y2015i2p194-215.html
   My bibliography  Save this article

Fuzzy AHP models for the evaluation of IT capability, data quality, knowledge management systems implementation and data security dimensions

Author

Listed:
  • Ali Asghar Anvary Rostamy
  • Davood Khosroanjom
  • Ali Niknafs
  • Amin Anvary Rostamy

Abstract

Identifying appropriate decision making methods shapes one of major concerns of IT managers. What intensify its criticality in the IT field are uncertainty, vagueness, specialty intensiveness, and variety of criteria and alternatives. In order to handle uncertainty and vagueness in multi-criteria decision-making IT problems based on expert opinions, fuzzy analytical hierarchy process (FAHP) is applied. This paper provides a good insight into the use of FAHP in the evaluation of various dimensions of IT capabilities, data quality, knowledge management systems implementation and databases security. The findings indicate the priority of human resource, intrinsic criteria of data, communication technology, and integrity among various criteria. It means that human resource is the most important organisational IT capability criterion, intrinsic criteria of data is the most critical criterion of data quality, communication technology is the most important criterion of knowledge management implementation, and integrity is the most significant functionality in database security analysis.

Suggested Citation

  • Ali Asghar Anvary Rostamy & Davood Khosroanjom & Ali Niknafs & Amin Anvary Rostamy, 2015. "Fuzzy AHP models for the evaluation of IT capability, data quality, knowledge management systems implementation and data security dimensions," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 22(2), pages 194-215.
  • Handle: RePEc:ids:ijores:v:22:y:2015:i:2:p:194-215
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=67344
    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. Tsung-Yu Chou & Yen-Ting Chen, 2020. "Applying Fuzzy AHP and TOPSIS Method to Identify Key Organizational Capabilities," Mathematics, MDPI, vol. 8(5), pages 1-16, May.
    2. Faitouri A. Aboaoja & Anazida Zainal & Abdullah Marish Ali & Fuad A. Ghaleb & Fawaz Jaber Alsolami & Murad A. Rassam, 2023. "Dynamic Extraction of Initial Behavior for Evasive Malware Detection," Mathematics, MDPI, vol. 11(2), pages 1-23, January.

    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:ijores:v:22:y:2015:i:2:p:194-215. 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=170 .

    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.