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Influencing factors of e-learning adoption amongst students in a developing country: the post-pandemic scenario in Bangladesh

Author

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  • Kashfia Maisha

    (Bangladesh University of Professionals)

  • Sabakun Naher Shetu

    (Jahangirnagar University)

Abstract

E-learning is the consequence of the merging of technology and education, and it is now a highly efficient educational medium. Therefore, this study aims to explore the notion of continuous usage of online learning in education. Here, the study examined the key elements influencing whether Bangladeshi university students will continue usage of online learning following the outbreak. It explores a novel setting, extending the UTAUT model and laying the groundwork for upcoming scholars. The UTAUT3 model served as the theoretical foundation for the analysis of the relationship between the components using structural equation modeling. Additionally, this research was conducted as soon as face-to-face education resumed following each pandemic lockdown. According to the study's findings, among the independent variables-performance expectancy, social influence, and behavioral intention were the most important indicators of students' intention to continue use e-learning systems after the COVID-19 pandemic. Moreover, voluntariness of use on social influence was also found to be significant. This is one of the first studies to investigate a new technical service (e-learning services) in the extended framework of UTAUT3 model and gives us an understanding of reasons as to why students keep using e-learning following the epidemic. Furthermore, the findings of the current study provide an innovative perspective for Bangladeshi university administration and policymakers to assess and apply to ensure the successful application of e-learning technologies.

Suggested Citation

  • Kashfia Maisha & Sabakun Naher Shetu, 2023. "Influencing factors of e-learning adoption amongst students in a developing country: the post-pandemic scenario in Bangladesh," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    • Handle: RePEc:spr:futbus:v:9:y:2023:i:1:d:10.1186_s43093-023-00214-3
    DOI: 10.1186/s43093-023-00214-3
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    References listed on IDEAS

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    1. Nicoleta Sirghi & Mirela-Catrinel Voicu & Gratiela Georgiana Noja & Oana-Ramona Socoliuc (Gurita), 2024. "Challenges of Artificial Intelligence on the Learning Process in Higher Education," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 1-53, February.

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