IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v98y2025ics1059056025000619.html
   My bibliography  Save this article

Business innovation in digital startups: A case study of an AI startup

Author

Listed:
  • Tang, Xinhui
  • Du, Shujun
  • Deng, Wenwen

Abstract

While digital startups may demonstrate greater success compared to traditional startups, they also face more intricate and dynamic challenges. Lean startup approaches (LSAs) have garnered significant attention due to their effectiveness in fostering business model innovation within the realm of digital entrepreneurship. However, there is limited understanding regarding the application of LSAs by digital startups for effective business model innovation. Through a longitudinal exploratory case study of a Chinese AI startup, our research establishes a framework for the process of business model innovation in digital startups. We elucidate the underlying factors contributing to the limited efficacy of business model innovation in digital start-ups, unveil the internal influence mechanism of LSAs on business model innovation, emphasize its pivotal role in addressing challenges associated with business model innovation and promoting its advancement, and propose relevant propositions.

Suggested Citation

  • Tang, Xinhui & Du, Shujun & Deng, Wenwen, 2025. "Business innovation in digital startups: A case study of an AI startup," International Review of Economics & Finance, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:reveco:v:98:y:2025:i:c:s1059056025000619
    DOI: 10.1016/j.iref.2025.103898
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025000619
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2025.103898?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:eee:reveco:v:98:y:2025:i:c:s1059056025000619. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.