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A Comparison of Faculty and Student Acceptance Behavior toward Learning Management Systems

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  • Jinkyung Jenny Kim

    (School of Hotel and Tourism Management, Youngsan University, Busan 48015, Korea)

  • Yeohyun Yoon

    (School of Hotel and Tourism Management, Youngsan University, Busan 48015, Korea)

  • Eun-Jung Kim

    (School of Hotel and Tourism Management, Youngsan University, Busan 48015, Korea)

Abstract

During the COVID-19 pandemic, learning management systems have become the primary channel for lecturing and learning in higher education contexts. The present study investigates the development of user acceptance behavior toward a learning management system through use of the extended technology acceptance model. Moreover, this research identified differences between faculty and student behavior in a university environment. Based on a quantitative approach, the analysis results revealed that the main triggers of user acceptance behavior are self-efficacy, enjoyment, and computer anxiety. This study also documented the different influencing factors between faculty members and student groups, respectively. This work is expected to add to existing knowledge and help guide those working in higher education settings to establish more effective strategies for the optimization of learning management systems.

Suggested Citation

  • Jinkyung Jenny Kim & Yeohyun Yoon & Eun-Jung Kim, 2021. "A Comparison of Faculty and Student Acceptance Behavior toward Learning Management Systems," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8570-:d:613981
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    References listed on IDEAS

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    1. Krishnamurthy, Sandeep, 2020. "The future of business education: A commentary in the shadow of the Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 117(C), pages 1-5.
    2. Eun-Jung Kim & Jinkyung Jenny Kim & Sang-Ho Han, 2021. "Understanding Student Acceptance of Online Learning Systems in Higher Education: Application of Social Psychology Theories with Consideration of User Innovativeness," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    3. Schlägel, Christopher & Sarstedt, Marko, 2016. "Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: A composite model approach," European Management Journal, Elsevier, vol. 34(6), pages 633-649.
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    Cited by:

    1. Yazdani, Morteza & Pamucar, Dragan & Erdmann, Anett & Toro-Dupouy, Luis, 2023. "Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Mohd Shafie Rosli & Nor Shela Saleh & Azlah Md. Ali & Suaibah Abu Bakar & Lokman Mohd Tahir, 2022. "A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps," Sustainability, MDPI, vol. 14(18), pages 1-25, September.

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