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E-Learning Success Model in the Context of COVID-19 Pandemic in Higher Educational Institutions

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  • Fakher Jaoua

    (Department of Business Administration, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia)

  • Hussein M. Almurad

    (Department of Business Administration, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia)

  • Ibrahim A. Elshaer

    (Department of Management, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    Tourism Studies Department, Faculty of Tourism and Hotels, Suez Canal University, Ismailia 41522, Egypt)

  • Elsayed S. Mohamed

    (Department of Business Administration, College of Economics and Administrative Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia
    Faculty of Commerce, Tanta University, Tanta 31521, Egypt)

Abstract

Nowadays, the extensive use of e-learning in higher educational institutions in many countries leads us to apprehend the reality, precisely the key success/failure factors of the implementation, of e-learning systems in these institutions. This motivation becomes more and more important, inevitable, and urgent, especially for institutions that have heavily adopted e-learning systems under exceptional conditions without any prior planning, such as the COVID-19 pandemic. From this perspective, this research aimed to provide an e-learning success model in the context of the COVID-19 pandemic by assessing e-learning effectiveness and by investigating the key antecedents of e-learning effectiveness. The literature review led to the identification of four main factors influencing e-learning effectiveness: The e-learning system, e-learning readiness, interactivity, and resistance to change. These four variables constituted the antecedents of an effective e-learning system, which was tested in a KSA context. A structured survey, including a sample of 1202 students from Imam Mohammad Ibn Saud Islamic University was used to examine the linkages among our proposed model. The model, with a total of ten direct and six indirect relationships, was tested by using structural equation modeling. The research findings indicate that effective e-learning is supported by the interactions between four factors: the e-learning system, e-learning readiness, interactivity, and resistance to change.

Suggested Citation

  • Fakher Jaoua & Hussein M. Almurad & Ibrahim A. Elshaer & Elsayed S. Mohamed, 2022. "E-Learning Success Model in the Context of COVID-19 Pandemic in Higher Educational Institutions," IJERPH, MDPI, vol. 19(5), pages 1-19, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2865-:d:761872
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    References listed on IDEAS

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    2. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    3. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    4. Klaus Conrad, 2006. "Price Competition and Product Differentiation when Goods have Network Effects," German Economic Review, Verein für Socialpolitik, vol. 7(3), pages 339-361, August.
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    Cited by:

    1. Mohamed Zine & Fouzi Harrou & Mohammed Terbeche & Mohammed Bellahcene & Abdelkader Dairi & Ying Sun, 2023. "E-Learning Readiness Assessment Using Machine Learning Methods," Sustainability, MDPI, vol. 15(11), pages 1-22, June.

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