IDEAS home Printed from https://ideas.repec.org/a/iaf/journl/y2025i1p144-151.html
   My bibliography  Save this article

Digital Companies: Smart Decision-Making and Knowledge Management for Adapting to Rapid Changes

Author

Listed:
  • Fateh Zaiter

    (University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria)

  • Mounir Azouz

    (University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria)

Abstract

In the fast-paced digital transformation era, organizations must integrate smart decision-making and knowledge management (KM) to foster innovation and ensure adaptability to continuous change. Digital companies operate in a highly dynamic environment where the ability to process and utilize knowledge effectively determines competitive advantage. This paper explores the intersection of smart decision-making and KM, highlighting key frameworks, emerging technologies, and strategic implementations that enhance innovation and organizational agility. This study adopts a theoretical approach, utilizing descriptive and analytical methods to explore the relationship between smart decision-making, knowledge management, and adaptability in digital companies. By reviewing existing literature, this study aims to outline the current state of knowledge in these areas and identify the gaps that need further exploration. The results of the study indicate that despite the advantages, organizations face several challenges in integrating KM with decision-making processes: data silos, security and privacy concerns, and cultural resistance. Instead, several organizations have already successfully integrated smart decision-making with KM, including Google, Amazon and Microsoft. This study proposes a strategic model for knowledge-driven smart decision-making in digital enterprises. By leveraging advanced technologies (particularly artificial intelligence (AI), big data analytics, and cloud computing), organizations can not only enhance their decision-making capabilities but also sustain a competitive advantage in an increasingly digital marketplace. Making smart, data-driven decisions quickly can help digital companies stay ahead of competitors, adapt to market changes, and identify innovative solutions that drive business growth. However, while integrating these technologies shows great promise, exploring their practical implications further is crucial.

Suggested Citation

  • Fateh Zaiter & Mounir Azouz, 2025. "Digital Companies: Smart Decision-Making and Knowledge Management for Adapting to Rapid Changes," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 144-151, March.
    • Handle: RePEc:iaf:journl:y:2025:i:1:p:144-151
    DOI: 10.33146/2307-9878-2025-1(107)-144-151
    as

    Download full text from publisher

    File URL: http://www.afj.org.ua/pdf/1134-cifrovi-kompanii.pdf
    Download Restriction: no
    File URL: http://www.afj.org.ua/en/article/1134/
    Download Restriction: no
    File URL: https://libkey.io/10.33146/2307-9878-2025-1(107)-144-151?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
    ---><---

    More about this item

    Keywords

    smart decision-making; knowledge management; digital transformation; artificial intelligence; digital companies;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:iaf:journl:y:2025:i:1:p:144-151. 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: Serhiy Ostapchuk (email available below). General contact details of provider: https://edirc.repec.org/data/iafkvua.html .

    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.