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Factors Enhancing Ai Adoption By Firms. Evidence From France

Author

Listed:
  • Alessia Lo Turco

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche (UNIVPM))

  • Alessandro Sterlacchini

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche)

Abstract

In this paper we consider firms involved in two waves (2019 and 2021) of the French ICT survey to distinguish between early and late adopters of AI technologies and to highlight some relevant antecedents that facilitated the former to keep and the latter to start adopting them. The implementation of data security systems, the training and recruitment of employees for ICT, and the use of websites and social media for collecting information on customers, increase the probability of keeping and starting the AI adoption. We also show that the impact of these factors differs according to the business function AI technologies are used for. They appear to be more relevant for the administration and marketing functions. Furthermore, the usage of AI for marketing is also fostered by the antecedent use of e-commerce and CRM applications. These findings support the hypothesis that the AI adoption by firms is shaped by a hierarchical trajectory, from less to more complex and demanding technologies in terms of complementary investments in ICT and skills.

Suggested Citation

  • Alessia Lo Turco & Alessandro Sterlacchini, 2024. "Factors Enhancing Ai Adoption By Firms. Evidence From France," Working Papers 486, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    • Handle: RePEc:anc:wpaper:486
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    References listed on IDEAS

    as
    1. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    2. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. "AI technologies and employment: micro evidence from the supply side," Applied Economics Letters, Taylor & Francis Journals, vol. 30(6), pages 816-821, March.
    3. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    4. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    5. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
    6. Pierre Montagnier & Irene Ek, 2021. "AI measurement in ICT usage surveys: A review," OECD Digital Economy Papers 308, OECD Publishing.
    7. Spanos, Yiannis E. & Voudouris, Irini, 2009. "Antecedents and trajectories of AMT adoption: The case of Greek manufacturing SMEs," Research Policy, Elsevier, vol. 38(1), pages 144-155, February.
    8. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    9. Flavio Calvino & Luca Fontanelli, 2023. "A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity," OECD Science, Technology and Industry Working Papers 2023/02, OECD Publishing.
    10. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    11. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    12. Snezha SK Kazakova & Allison AD Dunne & Daan DB Bijwaard & Julien Gosse & Charles Hoffreumon & Nicolas van Zeebroeck, 2020. "European enterprise survey on the use of technologies based on artificial intelligence," ULB Institutional Repository 2013/341443, ULB -- Universite Libre de Bruxelles.
    13. Baldwin, John & Lin, Zhengxi, 2002. "Impediments to advanced technology adoption for Canadian manufacturers," Research Policy, Elsevier, vol. 31(1), pages 1-18, January.
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    More about this item

    Keywords

    Artificial Intelligence; Digital technologies and skills; IT security systems; French firms.;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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