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Users’ Adoption of Sustainable Cloud Computing Solutions

Author

Listed:
  • Małgorzata Pańkowska

    (Department of Informatics, University of Economics in Katowice, 40-287 Katowice, Poland)

  • Krzysztof Pyszny

    (Department of Informatics, University of Economics in Katowice, 40-287 Katowice, Poland)

  • Artur Strzelecki

    (Department of Informatics, University of Economics in Katowice, 40-287 Katowice, Poland)

Abstract

The paper is dedicated to factors influencing users’ adoption of sustainable cloud computing solutions. The article covers the important characteristics related to cloud computing. It also discusses how sustainable cloud computing is important for sustainability. The current state of their security and potential threats waiting for users is reviewed. The purpose of this study is to investigate the influence of perceived usefulness, security, availability, and satisfaction on users’ adoption of sustainable cloud computing solutions. The study tested and used the adapted Technology Acceptance Model (TAM) model in the context of cloud computing solutions. The partial least square method of structural equation modeling is employed to test the proposed research model. The study utilizes an online survey to obtain data from 252 cloud computing solutions users. The data set was analyzed using SmartPLS 3 software. Results showed that the best predictor of users’ perceived usefulness and system & service quality is perceived availability, followed by perceived security. Both perceived usefulness and system & service quality predict users’ attitude and intention to use of cloud computing solutions. The findings improve understanding regarding the adoption of cloud computing solutions, and this work is, therefore, of particular interest to the IT departments and cloud computing vendors.

Suggested Citation

  • Małgorzata Pańkowska & Krzysztof Pyszny & Artur Strzelecki, 2020. "Users’ Adoption of Sustainable Cloud Computing Solutions," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9930-:d:452327
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    References listed on IDEAS

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    1. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    2. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    5. Jewan Singh & Vibhakar Mansotra, 2019. "Towards Development of an Integrated Cloud-Computing Adoption Framework — A Case of Indian School Education System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-27, April.
    6. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, April.
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    Cited by:

    1. Sharma, Mahak & Singh, Anupama & Daim, Tugrul, 2023. "Exploring cloud computing adoption: COVID era in academic institutions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
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