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Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors

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  • Juthamon Sithipolvanichgul

    (Accounting Department, Thammasat Business School, Thammasat University, 2 Phra Chan Alley, Phra Borom Maha Ratchawang, Phra Nakhon, Bangkok 10200, Thailand)

  • Charlie Chen

    (Department of Computer Information Systems, Appalachian State University, 287 Rivers St, Boone, NC 28608, USA)

  • Judy Land

    (Accounting Department, North Carolina Central University, 1801 Fayetteville St, Durham, NC 27707, USA)

  • Peter Ractham

    (Centre of Excellence in Operations and Information Management, Thammasat Business School, 2 Phra Chan Alley, Phra Borom Maha Ratchawang, Phra Nakhon, Bangkok 10200, Thailand)

Abstract

This study provides insights into the initial and post-adoption of cloud computing services by integrating information technology adoption, social influence, trust, security, and information systems quality theories. Social influence, hedonicity, and automaticity are hedonic predictors of user satisfaction with cloud computing services. Perceived risks, trust in the provider, and system quality are utilitarian predictors of user satisfaction with cloud computing services. The Partial Least Squares (PLS) was employed to test eight hypotheses on the causal relationships between the variables. Six out of eight hypotheses were supported. Hedonic factors appear to have more influence than the utilitarian factor of increasing user satisfaction with cloud computing services in the school setting. The findings lead to both theoretical and practical implications for improving the initial and post-adoption of cloud computing services.

Suggested Citation

  • Juthamon Sithipolvanichgul & Charlie Chen & Judy Land & Peter Ractham, 2021. "Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors," Energies, MDPI, vol. 14(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1822-:d:523714
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    References listed on IDEAS

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    1. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    2. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    3. Ackermann, Tobias & Widjaja, Thomas & Benlian, Alexander & Buxmann, Peter, 2012. "Perceived IT Security Risks of Cloud Computing: Conceptualization and Scale Development," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58577, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Li-Ling Hsu & Jason C.H. Chen & Chun-Chi Weng, 2009. "Measuring social influence, user perception, innovation attributes and user satisfaction in the enterprise resource planning context," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 3(4), pages 413-436.
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    Cited by:

    1. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.

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