IDEAS home Printed from https://ideas.repec.org/a/igg/jbir00/v4y2013i4p22-32.html
   My bibliography  Save this article

Propose a Conceptual Model of Adaptive Competitive Intelligence (ACI)

Author

Listed:
  • Sareh Mohammadalian

    (Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran)

  • Eslam Nazemi

    (Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran)

  • Mohammad Jafar Tarokh

    (Faculty of Industrial Engineering, Khajeh Nasir Toosi University, Tehran, Iran)

Abstract

In recent years, competitive changes and pressure on business environment have increased importance of competitive fields. Competitive intelligence is one of the commercial tools available in this field. It extracts helpful information from competitive environment and, after accurate analysis, generates effective strategies for the organization. High speed of changes, uncertainty, complexity and so on are among the characteristics of competitive environments. Consequently, approach of competitive intelligence must be adaptable to any kind of changes occurring in the competitive environment. In this paper, a conceptual model was presented for adaptive competitive intelligence. The proposed model which was a conceptual model was evaluated along the paper and the results were discussed. Increasing sustainability of competitive power was one of the most important outcomes of the recommended model.

Suggested Citation

  • Sareh Mohammadalian & Eslam Nazemi & Mohammad Jafar Tarokh, 2013. "Propose a Conceptual Model of Adaptive Competitive Intelligence (ACI)," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 4(4), pages 22-32, October.
    • Handle: RePEc:igg:jbir00:v:4:y:2013:i:4:p:22-32
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijbir.2013100102
    Download Restriction: no
    ---><---

    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:igg:jbir00:v:4:y:2013:i:4:p:22-32. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.