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Platforms, AI and the Spillover Effect

In: Platforms and Artificial Intelligence

Author

Listed:
  • Ahmed Bounfour

    (Université Paris-Saclay)

  • Alberto Nonnis

    (Université Paris-Saclay)

  • Clément Sternberger

    (Université Paris-Saclay)

  • Nguyen Minh Phuong Le

    (Université Paris-Saclay)

Abstract

Due to the central role played by platforms in the development of new technologies such as AI, the study concentrates on patents applicants that collaborate with platforms, considering that collaborations create an essential link for the transmission of knowledge. Using patent data and a panel of 22 platforms and 207 worldwide applicants that share the characteristics of having collaborated at least once with platforms in their life, indicators of knowledge creation, knowledge stock and knowledge spillovers are constructed. Distinguishing applicants by organisation type (platforms, large firms, SMEs and universities), the effect of different types of spillovers on each of the different categories’ knowledge is studied via negative binomial regressions. While we found evidence in favour of knowledge diffusion between firms in the whole sample, not every category benefits from these spillovers: large firms are found to be those that benefit more and from a greater number of spillovers, followed by SMEs, while universities receive very little benefits from spillovers in terms of knowledge creation, and more importantly platforms, despite being the main creators of knowledge in the AI sector, do not benefit of spillovers, which attests to their internalised knowledge strategy with regard to AI investment.

Suggested Citation

  • Ahmed Bounfour & Alberto Nonnis & Clément Sternberger & Nguyen Minh Phuong Le, 2022. "Platforms, AI and the Spillover Effect," Progress in IS, in: Ahmed Bounfour (ed.), Platforms and Artificial Intelligence, pages 51-76, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-90192-9_3
    DOI: 10.1007/978-3-030-90192-9_3
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