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Factors Influencing Technology Adoption in Online Learning among Private University Students in Bangladesh Post COVID-19 Pandemic

Author

Listed:
  • Md Shuhel Miah

    (School of Business, Brittany University, 75007 Paris, France)

  • Jugindar Singh Kartar Singh

    (School of Business, Asia Pacific University of Technology and Innovation, Kuala Lumpur 5700, Malaysia)

  • Mohammed Abdur Rahman

    (Faculty of Business and Entrepreneurship, Daffodil International University, Dhaka 1341, Bangladesh)

Abstract

Technology acceptance in higher education, especially during and after the crisis of COVID-19, is very important in the current environment, especially in online learning adoption. This study aimed to determine the impact of performance expectancy, effort expectancy, social influence, and facilitating conditions on the adoption of the online line among university students in Dhaka in the post-pandemic period. In addition, the moderating role of voluntariness was also ascertained. In this quantitative study, primary data were collected using a survey method. The target population was students of private universities located in Dhaka, Bangladesh. There was a total of 130 respondents, and non-probability sampling was found to be more appropriate. Data were analyzed using the Smart-PLS system. The results revealed that effort expectancy was the most important predictor of intention to adopt online learning. The next significant predictor was facilitating conditions. However, it was found that performance expectancy and social influence were not significant predictors of intention to adopt online learning. Additionally, it was found that voluntariness was not a mediator. In terms of practical implications, educators and designers should focus on effort expectancy and facilitating conditions to increase online learning adoption.

Suggested Citation

  • Md Shuhel Miah & Jugindar Singh Kartar Singh & Mohammed Abdur Rahman, 2023. "Factors Influencing Technology Adoption in Online Learning among Private University Students in Bangladesh Post COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3543-:d:1068843
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    References listed on IDEAS

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    3. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    4. Gratiela Dana Boca, 2021. "Factors Influencing Students’ Behavior and Attitude towards Online Education during COVID-19," Sustainability, MDPI, vol. 13(13), pages 1-21, July.
    5. Kapasia, Nanigopal & Paul, Pintu & Roy, Avijit & Saha, Jay & Zaveri, Ankita & Mallick, Rahul & Barman, Bikash & Das, Prabir & Chouhan, Pradip, 2020. "Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India," Children and Youth Services Review, Elsevier, vol. 116(C).
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    Cited by:

    1. Adel Bessadok & Hisham Bardesi, 2023. "Exploring Human Values and Students’ Aspiration in E-Learning Adoption: A Structural Equation Modeling Analysis," Sustainability, MDPI, vol. 15(19), pages 1-21, September.

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