IDEAS home Printed from https://ideas.repec.org/a/axf/aidtaa/v2y2025i1p122-132.html
   My bibliography  Save this article

Business Data-Driven Agile Strategic Adjustment in Enterprises

Author

Listed:
  • Tian, Kailu

Abstract

In an era of rapid technological change, intense competition, and volatile markets, enterprises face increasing uncertainty and complexity. This study investigates how business data can support agile strategic adjustment, enabling organizations to sense environmental changes, formulate evidence-based strategies, execute initiatives efficiently, and iteratively optimize performance. By integrating internal, external, and third-party data sources, enterprises can enhance strategic sensing, prioritize initiatives, allocate resources effectively, and respond proactively to emerging opportunities and risks. The study develops a framework illustrating the mechanisms through which business data facilitates agile strategic management and demonstrates its application using illustrative data. The findings indicate that data-driven strategic approaches improve organizational responsiveness, resilience, and long-term competitiveness. The research provides both theoretical insights and practical guidance for enterprises seeking to implement data-enabled agile strategies.

Suggested Citation

  • Tian, Kailu, 2025. "Business Data-Driven Agile Strategic Adjustment in Enterprises," Artificial Intelligence and Digital Technology, Scientific Open Access Publishing, vol. 2(1), pages 122-132.
  • Handle: RePEc:axf:aidtaa:v:2:y:2025:i:1:p:122-132
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/aidt/article/view/903/882
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:axf:aidtaa:v:2:y:2025:i:1:p:122-132. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/ICSS .

    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.