The Network Structure of Big Tech's Inter-Organizational Collaboration on Generative AI

Authors

  • Fumihiko Isada Kansai University, Japan

DOI:

https://doi.org/10.54820/entrenova-2025-0010

Keywords:

Inter-Organizational Collaboration, Business Ecosystem, Generative AI, Big Tech, social network analysis

Abstract

Goal: Previous studies have shown that an ecosystem of collaboration among diverse organisations is more useful for the development and application of artificial intelligence than a single organisation working on its own. It has also been pointed out that, particularly in the case of generative AI, which has become popular in recent years, companies such as Big Tech play a significant role in shaping and developing ecosystems. This study aims to quantitatively analyse the network structure of cooperation relationships among organisations in generative AI and to demonstrate the characteristics of big techs' positioning in this network structure compared with other organisations. Methodology: As an analysis method, information from recent newspaper articles was analysed using social network analysis to examine the current situation. Conclusion: The analysis revealed several characteristics of Big Tech's network structure. As a future task, the information that cannot be obtained from newspaper articles alone should be supplemented by other research methods.

Author Biography

  • Fumihiko Isada, Kansai University, Japan

    Fumihiko Isada is a professor at the Faculty of Informatics, Kansai University. He graduated from Osaka University, where he earned his PhD with the thesis titled "A Study on the Business Model of Virtual Project Company". His research interests are international corporate strategy and innovation management. The author can be contacted at: isada@kansai-u.ac.jp

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Published

2026-02-20

Issue

Section

Business Administration & Business Economics, Marketing, Accounting

How to Cite

The Network Structure of Big Tech’s Inter-Organizational Collaboration on Generative AI. (2026). ENTRENOVA - ENTerprise REsearch InNOVAtion Journal, 11(1). https://doi.org/10.54820/entrenova-2025-0010