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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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    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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