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

Fumihiko Isada

A chapter in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, 2025, pp 481-488 from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb

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.

Keywords: Inter-organisational collaboration; business ecosystem; social network analysis; introduction phase; generative AI (search for similar items in EconPapers)
JEL-codes: M15 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/317980/1/entrenova-2024-0037.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:entr24:317980

DOI: 10.54820/entrenova-2024-0037

Access Statistics for this chapter

More chapters in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().