IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v23y2024i06ns0219649224500898.html
   My bibliography  Save this article

Acquiring Strategic Management Knowledge in Open Organisations: An Importance-Performance Analysis

Author

Listed:
  • Mohammad Milad Ahmadi

    (Department of Industrial & Technology Management, Faculty of Management & Economics, Islamic Azad University, Science & Research Branch, Tehran, Iran)

  • Mohammad Mahdi Mohtadi

    (Department of Systems Management, Faculty of Management & Economics, Imam Hossein Comprehensive University, Tehran, Iran)

Abstract

This research aims to analyse the factors that contribute to strategic management knowledge acquisition in open organizations using importance-performance analysis (IPA). To conduct this research, an educational research institution with open system characteristics was selected as the case study. A qualitative questionnaire was developed to gather data on strategic management knowledge acquisition factors. Based on the analysis of the data collected, 48 main factors of strategic management knowledge acquisition in open organizations were identified. These factors were categorised into four strategic ranges: “focus,†“continue,†“low priority†and “waste†. The findings provide valuable insights into the factors that contribute to strategic management knowledge acquisition in open organizations. By understanding the importance and performance of these factors, organizations can prioritise their efforts and allocate resources effectively to improve their knowledge acquisition processes. Additionally, 20 executive proposals were presented as recommendations for open organizations seeking to enhance their knowledge acquisition practices.

Suggested Citation

  • Mohammad Milad Ahmadi & Mohammad Mahdi Mohtadi, 2024. "Acquiring Strategic Management Knowledge in Open Organisations: An Importance-Performance Analysis," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-24, December.
  • Handle: RePEc:wsi:jikmxx:v:23:y:2024:i:06:n:s0219649224500898
    DOI: 10.1142/S0219649224500898
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649224500898
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219649224500898?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:wsi:jikmxx:v:23:y:2024:i:06:n:s0219649224500898. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.