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Determinants of E-Learning Adoption: Evidence from the Telecommunications Industry in Vietnam

Author

Listed:
  • BUI Tuyen Quang

    (University of Economics and Business, Vietnam National University Hanoi, Hanoi, VIETNAM)

  • NGUYEN Ngoc Minh

    (Viettel Academy, Viettel Group, Hanoi, VIETNAM)

  • NGUYEN Phuong Mai

    (International School, Vietnam National University Hanoi, Hanoi, VIETNAM)

Abstract

As a response to the global digital transformation trend, e-learning has been chosen as a critical method in corporate training worldwide due to its efficiency and flexibility. However, the adoption of an e-learning system is limited in developing countries, particularly in enterprises. In such a context, this research examines factors affecting e-learning adoption in the Vietnamese telecommunications industry. A research model was developed based on the technology acceptance model (TAM), adding three antecedents: management support, technical support, and course quality. Using data collected from 248 employees working in the industry, we ran a structural equation modeling analysis to test seven proposed hypotheses. Our findings showed that perceived usefulness and perceived ease of use mediate the impact of management support, technical support, and course quality on e-learning adoption. Based on our findings, we proposed several suggestions to improve the e-learning system and promote the adoption of elearning in Vietnamese companies.

Suggested Citation

  • BUI Tuyen Quang & NGUYEN Ngoc Minh & NGUYEN Phuong Mai, 2024. "Determinants of E-Learning Adoption: Evidence from the Telecommunications Industry in Vietnam," Foundations of Management, Sciendo, vol. 16(1), pages 379-390.
    • Handle: RePEc:vrs:founma:v:16:y:2024:i:1:p:379-390:n:1023
    DOI: 10.2478/fman-2024-0023
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    References listed on IDEAS

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    1. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    2. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    3. Ying-Kai Liao & Wann-Yih Wu & Trang Quang Le & Thuy Thi Thu Phung, 2022. "The Integration of the Technology Acceptance Model and Value-Based Adoption Model to Study the Adoption of E-Learning: The Moderating Role of e-WOM," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    4. Himanshu Bagdi & Seshu Vardhan Pothabathula & Latika Sharma & Hemantkumar P. Bulsara, 2023. "The global market upsurge in web traffic and revenues during the epidemic: an exploratory research of e-learning companies," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 22(3), pages 418-444, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    corporate Training; e-learning; technology acceptance model (TAM); telecommunication industry; Vietnam;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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