IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-748-9_42.html

Research on Enterprise Business Models in the Context of Digital Transformation

In: Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)

Author

Listed:
  • Ran Zhao

    (Jinan Foreign Language School)

Abstract

In the digital transformation wave, enterprise business models are deeply evolving. This research comprehensively explores digitalization’s multifaceted impacts on these models and transformation paths. By reviewing global studies, it shows digitalization drives enterprises to construct digital platforms for enhanced connections, leverage big data and AI for customer insights, operation optimization, and innovation, develop digital services for product-to-service shifts, and explore new profit models. Nevertheless, enterprises encounter challenges like tech costs, data security, privacy, and cultural shifts. Those transforming successfully can boost operational efficiency, strengthen customer loyalty, expand markets, and ensure sustainable growth. This study offers a theoretical and practical reference for enterprises navigating digital transformation.

Suggested Citation

  • Ran Zhao, 2025. "Research on Enterprise Business Models in the Context of Digital Transformation," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin (ed.), Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), pages 379-386, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-748-9_42
    DOI: 10.2991/978-94-6463-748-9_42
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-748-9_42. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.