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Scaling up to the cloud: Cloud technology use and growth rates in small and large firms

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  • Bernardo Caldarola
  • Luca Fontanelli

Abstract

Recent empirical evidence shows that investments in ICT disproportionately improve the performance of larger firms versus smaller ones. However, ICT may not be all alike, as they differ in their impact on firms' organisational structure. We investigate the effect of the use of cloud services on the long run size growth rate of French firms. We find that cloud services positively impact firms' growth rates, with smaller firms experiencing more significant benefits compared to larger firms. Our findings suggest cloud technologies help reduce barriers to digitalisation, which affect especially smaller firms. By lowering these barriers, cloud adoption enhances scalability and unlocks untapped growth potential.

Suggested Citation

  • Bernardo Caldarola & Luca Fontanelli, 2024. "Scaling up to the cloud: Cloud technology use and growth rates in small and large firms," Papers 2409.17035, arXiv.org, revised Oct 2025.
  • Handle: RePEc:arx:papers:2409.17035
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    References listed on IDEAS

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    1. James Bessen, 2020. "Industry Concentration and Information Technology," Journal of Law and Economics, University of Chicago Press, vol. 63(3), pages 531-555.
    2. Matej Bajgar & Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo & Jonathan Timmis, 2025. "Industry concentration in Europe and North America," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 34(3), pages 407-424.
    3. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    4. Diane Coyle & David Nguyen, 2018. "Cloud Computing and National Accounting," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-19, Economic Statistics Centre of Excellence (ESCoE).
    5. Tomaso Duso & Alexander Schiersch, 2022. "Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity," Discussion Papers of DIW Berlin 2017, DIW Berlin, German Institute for Economic Research.
    6. J. Myles Shaver, 1998. "Accounting for Endogeneity When Assessing Strategy Performance: Does Entry Mode Choice Affect FDI Survival?," Management Science, INFORMS, vol. 44(4), pages 571-585, April.
    7. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    8. Sergei Guriev & Nikita Melnikov & Ekaterina Zhuravskaya, 2021. "3G Internet and Confidence in Government," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2533-2613.
    9. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    10. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    11. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    12. James Harrigan & Ariell Reshef & Farid Toubal, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02973332, HAL.
    13. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    14. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    15. Peter Gal & Giuseppe Nicoletti & Christina von Rüden & Stéphane Sorbe & Théodore Renault, 2019. "Digitalization and Productivity: In Search of the Holy Grail - Firm-level Empirical Evidence from European Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 37, pages 39-71, Fall.
    16. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    17. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    18. Caldarola, Bernardo & Grazzi, Marco & Occelli, Martina & Sanfilippo, Marco, 2023. "Mobile internet, skills and structural transformation in Rwanda," Research Policy, Elsevier, vol. 52(10).
    19. Jose Manuel Campa & Simi Kedia, 2002. "Explaining the Diversification Discount," Journal of Finance, American Finance Association, vol. 57(4), pages 1731-1762, August.
    20. Bisio, Laura & Cuzzola, Angelo & Grazzi, Marco & Moschella, Daniele, 2025. "The dynamics of automation adoption: Firm-level heterogeneity and aggregate employment effects," European Economic Review, Elsevier, vol. 173(C).
    21. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    22. Andrew A. King & Christopher L. Tucci, 2002. "Incumbent Entry into New Market Niches: The Role of Experience and Managerial Choice in the Creation of Dynamic Capabilities," Management Science, INFORMS, vol. 48(2), pages 171-186, February.
    23. Vella, Francis & Verbeek, Marno, 1999. "Estimating and Interpreting Models with Endogenous Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 473-478, October.
    24. 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.
    25. Clougherty, Joseph A. & Duso, Tomaso & Muck, Johannes, 2016. "Correcting for Self-selection Based Endogeneity in Management Research: Review, Recommendations and Simulations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19, pages 286-347.
    26. Nicoletti, Giuseppe & von Rueden, Christina & Andrews, Dan, 2020. "Digital technology diffusion: A matter of capabilities, incentives or both?," European Economic Review, Elsevier, vol. 128(C).
    27. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    28. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    29. Antonio Ughi & Andrea Mina, 2023. "Digital Advantage: Evidence from a Policy Evaluation of Adoption Subsidies," LEM Papers Series 2023/41, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Thomas Barnebeck Andersen & Jeanet Bentzen & Carl-Johan Dalgaard & Pablo Selaya, 2012. "Lightning, IT Diffusion, and Economic Growth Across U.S. States," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 903-924, November.
    31. Danial Lashkari & Arthur Bauer & Jocelyn Boussard, 2024. "Information Technology and Returns to Scale," American Economic Review, American Economic Association, vol. 114(6), pages 1769-1815, June.
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    1. Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," Post-Print hal-05029748, HAL.

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