IDEAS home Printed from https://ideas.repec.org/h/zbw/entr24/317980.html
   My bibliography  Save this book chapter

Inter-Organisational Collaboration Networks in The Introduction Phase of Generative AI

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024

Author

Listed:
  • Isada, Fumihiko

Abstract

The goal: This research is a preliminary report that analyses the inter-organisational collaboration networks related to generative AI (Artificial Intelligence), which has spread rapidly in recent years, and empirically clarifies the key players and their relationships in the business ecosystem during the introduction phase of the technology lifecycle. The methodology: Information on the collaborative relationships between organisations in the six months following the launch of Chat GPT4 in March 2023, which triggered the rapid expansion of the actual use of generative AI in companies, etc., was extracted from more than 100 major newspaper articles and press releases worldwide, and analysed using the method of social network analysis. The conclusion: The development and utilisation of generative AI is increasingly forming a business ecosystem with very diverse inter-organisational collaborations on applications and system devices, and each organisation is strategically positioning itself within the business ecosystem. The empirical analysis of the structure of the inter-organisational collaboration network has allowed an exploratory identification of various distinctive organisations in the business ecosystem.

Suggested Citation

  • Isada, Fumihiko, 2025. "Inter-Organisational Collaboration Networks in The Introduction Phase of Generative AI," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, pages 481-488, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  • Handle: RePEc:zbw:entr24:317980
    DOI: 10.54820/entrenova-2024-0037
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/317980/1/entrenova-2024-0037.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.54820/entrenova-2024-0037?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
    ---><---

    References listed on IDEAS

    as
    1. Michael G. Jacobides & Stefano Brusoni & Francois Candelon, 2021. "The Evolutionary Dynamics of the Artificial Intelligence Ecosystem," Strategy Science, INFORMS, vol. 6(4), pages 412-435, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benedetta Montanaro & Annalisa Croce & Elisa Ughetto, 2024. "Venture capital investments in artificial intelligence," Journal of Evolutionary Economics, Springer, vol. 34(1), pages 1-28, January.

    More about this item

    Keywords

    Inter-organisational collaboration; business ecosystem; social network analysis; introduction phase; generative AI;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:zbw:entr24:317980. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    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.