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Interpreting Usability Factors Predicting Sustainable Adoption of Cloud-Based E-Learning Environment during COVID-19 Pandemic

Author

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  • Bireswar Dutta

    (Department of Information Technology and Management, Taipei Campus, Shih Chien University, Taipei 10462, Taiwan)

  • Mei-Hui Peng

    (Institute of Information Management, National Yang-Ming Chiao Tung University, Hsinchu 300044, Taiwan
    Institute of Information Management, Minghsin University of Science and Technology, Hsinchu 300044, Taiwan)

  • Chien-Chih Chen

    (Institute of Information Management, Minghsin University of Science and Technology, Hsinchu 300044, Taiwan)

  • Shu-Lung Sun

    (Institute of Information Management, National Yang-Ming Chiao Tung University, Hsinchu 300044, Taiwan)

Abstract

The COVID-19 pandemic affected educational institutions in an unrivaled way around the globe and forced them to switch from conventional classroom learning mode to e-learning mode within a short time period. Neither instructors nor students had ample time to prepare. The purpose of the current study is to accomplish two objectives: to explore the functional relationship between attitudinal readiness (ATR), subjective well-being (SWB), and cloud-based e-learning adoption intention in Taiwan and examine the constancy of recommended proposed relationships among different students’ groups. The model was then empirically tested using data of 256 university students by structural equation modeling. The current study demonstrates that ATR is completely explained through four dimensions: peer reference, perceived ease of use, perceived usefulness, and perceived ubiquity. SWB is positively interpreted through four dimensions: online course quality, system quality, perceived service quality, and perceived closeness. Self-efficacy has a significant relationship with both attitudinal readiness and adoption intention of a cloud-based e-learning system. Finally, the invariance test explores substantial variance among students who intend to use the system and students who reject it. Therefore, researchers and practitioners regarding educational, technological innovation must consider this empirical evidence to develop and validate a sustainable cloud-based e-learning program in higher education.

Suggested Citation

  • Bireswar Dutta & Mei-Hui Peng & Chien-Chih Chen & Shu-Lung Sun, 2021. "Interpreting Usability Factors Predicting Sustainable Adoption of Cloud-Based E-Learning Environment during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9329-:d:617707
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    1. Merhi, Mohamed & Hone, Kate & Tarhini, Ali, 2019. "A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust," Technology in Society, Elsevier, vol. 59(C).
    2. Amanda M. Y. Chu & Connie K. W. Liu & Mike K. P. So & Benson S. Y. Lam, 2021. "Factors for Sustainable Online Learning in Higher Education during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    3. Ravi Bapna & Akhmed Umyarov, 2015. "Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks," Management Science, INFORMS, vol. 61(8), pages 1902-1920, August.
    4. Robert Caruana & Michal J. Carrington & Andreas Chatzidakis, 2016. "“Beyond the Attitude-Behaviour Gap: Novel Perspectives in Consumer Ethics”: Introduction to the Thematic Symposium," Journal of Business Ethics, Springer, vol. 136(2), pages 215-218, June.
    5. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    6. Deirdre Shaw & Robert McMaster & Terry Newholm, 2016. "Care and Commitment in Ethical Consumption: An Exploration of the ‘Attitude–Behaviour Gap’," Journal of Business Ethics, Springer, vol. 136(2), pages 251-265, June.
    7. Felicia Huppert & Timothy So, 2013. "Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(3), pages 837-861, February.
    8. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    9. Virginia Gewin, 2020. "Five tips for moving teaching online as COVID-19 takes hold," Nature, Nature, vol. 580(7802), pages 295-296, April.
    10. Yinxuan Huang, 2018. "The Dynamics of Online Activities and Its Impact on Well-Being in Urban China," Social Sciences, MDPI, vol. 7(7), pages 1-17, June.
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