IDEAS home Printed from https://ideas.repec.org/p/anc/wpaper/486.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://docs.dises.univpm.it/web/quaderni/pdf/486.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    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. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    3. Pierre Montagnier & Irene Ek, 2021. "AI measurement in ICT usage surveys: A review," OECD Digital Economy Papers 308, OECD Publishing.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Baldwin, John & Lin, Zhengxi, 2002. "Impediments to advanced technology adoption for Canadian manufacturers," Research Policy, Elsevier, vol. 31(1), pages 1-18, January.
    9. 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.
    10. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    11. 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).
    12. 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.
    13. 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).
    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. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Bughin, Jacques, 2024. "What drives the corporate payoffs of using generative artificial intelligence?," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 658-668.
    3. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    4. Antonio Minniti & Klaus Prettner & Francesco Venturini, 2024. "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Papers wuwp369, Vienna University of Economics and Business, Department of Economics.
    5. Kristina McElheran & Mu-Jeung Yang & Zachary Kroff & Erik Brynjolfsson, 2025. "The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)," Working Papers 25-27, Center for Economic Studies, U.S. Census Bureau.
    6. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Marioni, Larissa da Silva & Rincon-Aznar, Ana & Venturini, Francesco, 2024. "Productivity performance, distance to frontier and AI innovation: Firm-level evidence from Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    8. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
    9. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    10. Cong Cheng & Zefeng Miao, 2025. "Leveraging digital connectivity for innovation performance: a fsQCA study on Chinese high-tech manufacturing firms," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    11. Frank M. Fossen & Trevor McLemore & Alina Sorgner, 2024. "Artificial Intelligence and Entrepreneurship," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 20(8), pages 781-904, December.
    12. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    13. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," DISCE - Working Papers del Dipartimento di Politica Economica dipe0038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    14. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," Working Papers 2025.11, Fondazione Eni Enrico Mattei.
    16. Chen, Jia & Wang, Ning & Lin, Tongzhi & Liu, Baoliu & Hu, Jin, 2024. "Shock or empowerment? Artificial intelligence technology and corporate ESG performance," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1080-1096.
    17. Galia, Fabrice & Legros, Diego, 2004. "Complementarities between obstacles to innovation: evidence from France," Research Policy, Elsevier, vol. 33(8), pages 1185-1199, October.
    18. Torrent-Sellens, Joan, 2024. "Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective," Technology in Society, Elsevier, vol. 79(C).
    19. Spyros Arvanitis & Marius Christian Ley, 2010. "Factors Determining the Adoption of Energy-saving Technologies in Swiss Firms," KOF Working papers 10-257, KOF Swiss Economic Institute, ETH Zurich.
    20. Gomez, Jaime & Vargas, Pilar, 2009. "The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies," Research Policy, Elsevier, vol. 38(1), pages 106-119, February.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:anc:wpaper:486. 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: Maurizio Mariotti (email available below). General contact details of provider: https://edirc.repec.org/data/deancit.html .

    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.