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Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic

Author

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  • Qing Wang

    (School of Economics and Management, Huazhong Agricultural University, Wuhan,430072, P.R.China)

  • Muhammad Saqib Khan

    (School of Management, Huazhong University of Science and Technology 1037, Luoyu Road, Wuhan, 430074, P.R.China)

  • Muhammad Kamran Khan

    (Bacha Khan University, Charsadda, Pakistan)

Abstract

The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers. Key Words: The UTAUT model, perceived course quality, perceived satisfaction, reuse intentions

Suggested Citation

  • Qing Wang & Muhammad Saqib Khan & Muhammad Kamran Khan, 2021. "Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 1-11, March.
    • Handle: RePEc:rbs:ijbrss:v:10:y:2021:i:2:p:1-11
    DOI: 10.20525/ijrbs.v10i2.1045
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    References listed on IDEAS

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    1. Puska, Adis & Ejubovic, Adisa & Beganovic, Admir I, 2016. "Student Feedback as a Guideline for Higher Education Quality Enhancement," Ekonomika, Journal for Economic Theory and Practice and Social Issues, Society of Economists Ekonomika, Nis, Serbia, vol. 62(4), December.
    2. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    3. 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.
    4. Andreia Inamorato dos Santos & Yves Punie & Jonatan Castaño Muñoz, 2016. "Opening up Education: A Support Framework for Higher Education Institutions," JRC Research Reports JRC101436, Joint Research Centre.
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    Cited by:

    1. Qing Wang & Muhammad Saqib Khan, 2021. "Impact of motivation and technology factors to predict satisfaction and continued intentions toward online courses," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(3), pages 501-513, April.
    2. Cecilia Temilola Olugbara & Moeketsi Letseka & Oludayo O. Olugbara, 2021. "Multiple Correspondence Analysis of Factors Influencing Student Acceptance of Massive Open Online Courses," Sustainability, MDPI, vol. 13(23), pages 1-21, December.
    3. Zeinab Zaremohzzabieh & Samsilah Roslan & Zulkifli Mohamad & Ismi Arif Ismail & Habibah Ab Jalil & Seyedali Ahrari, 2022. "Influencing Factors in MOOCs Adoption in Higher Education: A Meta-Analytic Path Analysis," Sustainability, MDPI, vol. 14(14), pages 1-21, July.

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