Impact of motivation and technology factors to predict satisfaction and continued intentions toward online courses
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DOI: 10.20525/ijrbs.v10i3.1148
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References listed on IDEAS
- 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.
- Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
- 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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Keywords
controlled motivation; autonomous motivation; technology acceptance model; perceived satisfaction; continued intention;All these keywords.
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