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Cloud computing adoption and determining factors in different industries: A case study of Thailand


  • Keesookpun, Chutipong
  • Mitomo, Hitoshi


The cloud computing model is a modern concept of computation that provides a number of benefits for its adopters. This online computing model has been widely used in the western world and accepted to have some business and economic impacts. This paper provides some basic knowledge about cloud computing and discusses the greatest benefit which is cost reduction in fixed ICT capital and services. With such the benefit, this study attempts to find the determining factors for cloud computing adoption in various industries and proposes some policy recommendations accordingly in order to facilitate the diffusion of the innovative computing model as well as the extensive realisation of its benefit. Thailand is selected as ground for investigation. The discrete choice model of logistic regression is selected as an econometric tool to extract the relationships of different attributes and the probability of cloud computing adoption in 206 industries. The results point out significant determining factors categorised into Internet and technology; cost; and some difficulties in ICT usage. Hence, some policy implications in order to increase the possibility of adoption include an effort to improve internet capability of employees; provide some investment incentives such as tax reduction and low-cost loans for initial set-ups of cloud computing systems; and develop reliable internet network with advanced capability and low cost of use.

Suggested Citation

  • Keesookpun, Chutipong & Mitomo, Hitoshi, 2012. "Cloud computing adoption and determining factors in different industries: A case study of Thailand," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72507, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itsb12:72507

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    References listed on IDEAS

    1. Menzie D. Chinn & Robert W. Fairlie, 2007. "The determinants of the global digital divide: a cross-country analysis of computer and internet penetration," Oxford Economic Papers, Oxford University Press, vol. 59(1), pages 16-44, January.
    2. Oecd, 2001. "Understanding the Digital Divide," OECD Digital Economy Papers 49, OECD Publishing.
    3. Farida Khan & Rehana Ghadially, 2010. "Empowerment through ICT education, access and use: A gender analysis of Muslim youth in India," Journal of International Development, John Wiley & Sons, Ltd., vol. 22(5), pages 659-673.
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    More about this item


    Cloud computing; Economic benefits of the cloud; Cloud computing adoption; Binary regression; Thai industries;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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