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A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services

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  • Shui-Lien Chen

    (Department of Management Sciences, Tamkang University, New Taipei City 25137, Taiwan)

  • June-Hong Chen

    (Department of Management Sciences, Tamkang University, New Taipei City 25137, Taiwan)

  • Yung Hsin Lee

    (Department of Banking and Finance, CTBC Business School, Tainan 709, Taiwan)

Abstract

Cloud computing is the next generation in computing, and the next natural step in the evolution of on-demand information technology services and products. However, only a few studies have addressed the adoption of cloud computing from an organizational perspective, which have not proven whether the research model is the best-fitting model. The purpose of this paper is to construct research competing models (RCMs) and determine the best-fitting model for understanding industrial organization’s acceptance of cloud services. This research integrated the technology acceptance model and the principle of model parsimony to develop four cloud service adoption RCMs with enterprise usage intention being used as a proxy for actual behavior, and then compared the RCMs using structural equation modeling (SEM). Data derived from a questionnaire-based survey of 227 firms in Taiwan were tested against the relationships through SEM. Based on the empirical study, the results indicated that, although all four RCMs had a high goodness of fit, in both nested and non-nested structure comparisons, research competing model A (Model A) demonstrated superior performance and was the best-fitting model. This study introduced a model development strategy that can most accurately explain and predict the behavioral intention of organizations to adopt cloud services.

Suggested Citation

  • Shui-Lien Chen & June-Hong Chen & Yung Hsin Lee, 2018. "A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:673-:d:134277
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    3. Kai-Ying Chen & Meng-Lin Chang, 2013. "User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model," The Service Industries Journal, Taylor & Francis Journals, vol. 33(6), pages 609-623, May.
    4. Kyriakidou, Vagia & Michalakelis, Christos & Sphicopoulos, Thomas, 2013. "Assessment of information and communications technology maturity level," Telecommunications Policy, Elsevier, vol. 37(1), pages 48-62.
    5. Princely Ifinedo, 2011. "An Empirical Analysis Of Factors Influencing Internet/E-Business Technologies Adoption By Smes In Canada," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 731-766.
    6. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    7. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    8. Ragu-Nathan, Bhanu S. & Apigian, Charles H. & Ragu-Nathan, T. S. & Tu, Qiang, 2004. "A path analytic study of the effect of top management support for information systems performance," Omega, Elsevier, vol. 32(6), pages 459-471, December.
    9. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    10. Gonzalez, George C. & Sharma, Pratyush N. & Galletta, Dennis F., 2012. "The antecedents of the use of continuous auditing in the internal auditing context," International Journal of Accounting Information Systems, Elsevier, vol. 13(3), pages 248-262.
    11. James, M.J., 2003. "Sustainable internet access for the rural poor? Elements of an emerging Indian model," Other publications TiSEM 8ef7a517-434c-460d-be5e-a, Tilburg University, School of Economics and Management.
    12. Kearns, Grover S., 2006. "The effect of top management support of SISP on strategic IS management: insights from the US electric power industry," Omega, Elsevier, vol. 34(3), pages 236-253, June.
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    4. Seok-Keun Yoo & Bo-Young Kim, 2018. "A Decision-Making Model for Adopting a Cloud Computing System," Sustainability, MDPI, vol. 10(8), pages 1-15, August.

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