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On the Determinants of Cloud Computing Adoption

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  • Ohnemus, Jörg
  • Niebel, Thomas

Abstract

Cloud computing is widely seen as a new source of innovation as well as a driving factor of productivity improvements of firms. This paper analyses the determinants of cloud computing adoption in general as well as for specific deployment (Public vs. Private) and service models (SaaS, IaaS, PaaS). Our data set contains a representative sample of 2,970 German firms and refers to the years 2014 and 2015. The econometric analysis confirms our three main hypothesis regarding firms' decision to adopt cloud computing in general. The share of workers with mobile internet access, being a start-up, as well as the regional availability of high-speed fixed-line internet access increase the likelihood of a firm for using cloud computing services.

Suggested Citation

  • Ohnemus, Jörg & Niebel, Thomas, 2016. "On the Determinants of Cloud Computing Adoption," 27th European Regional ITS Conference, Cambridge (UK) 2016 148694, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itse16:148694
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    References listed on IDEAS

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    1. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
    2. Oecd, 2014. "Cloud Computing: The Concept, Impacts and the Role of Government Policy," OECD Digital Economy Papers 240, OECD Publishing.
    3. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    4. David Aristei & Michela Vecchi & Francesco Venturini, 2016. "University and inter-firm R&D collaborations: propensity and intensity of cooperation in Europe," The Journal of Technology Transfer, Springer, vol. 41(4), pages 841-871, August.
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    Cited by:

    1. Duso, Tomaso & Schiersch, Alexander, 2025. "Let's switch to the cloud: Cloud usage and its effect on labor productivity," Information Economics and Policy, Elsevier, vol. 70(C).
    2. Cho, Jaehan & DeStefano, Timothy & Kim, Hanhin & Kim, Inchul & Paik, Jin Hyun, 2023. "What's driving the diffusion of next-generation digital technologies?," Technovation, Elsevier, vol. 119(C).
    3. 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.
    4. Banal-Estanol, Albert & Seldeslachts, Jo & Vives, Xavier, 2022. "Ownership Diversification and Product Market Pricing Incentives," CEPR Discussion Papers 17686, Centre for Economic Policy Research.
    5. Raphaela Andres & Timothy DeStefano & Thomas Niebel & Steffen Viete, 2020. "Capital incentive policies in the age of cloud computing: An empirical case study," OECD Science, Technology and Industry Working Papers 2020/07, OECD Publishing.

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    Keywords

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    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • 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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