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Understanding Antecedents of Learning Management System Usage among University Lecturers Using an Integrated TAM-TOE Model

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  • Twana Tahseen Sulaiman

    (Department of Banking and Finance, College of Administration and Financial Sciences, University of Cihan-Erbil, Erbil 44001, Kurdistan Region, Iraq
    School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia)

  • Anuar Shah Bali Mahomed

    (School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia)

  • Azmawani Abd Rahman

    (School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia)

  • Mazlan Hassan

    (School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia)

Abstract

Even after the COVID-19 pandemic, the use of the learning management system (LMS) is still low among university lecturers in the Kurdistan Region of Iraq. The objective of the current study is to understand the factors influencing LMS usage in universities using indicators from Technology Acceptance Model (TAM) and Technology–Organisation–Environment (TOE) framework. This study examined system quality, service quality, information quality, technical support, and government policies as essential variables for affecting LMS usage using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. To reach the aim of this study, the conceptual model was proposed based on TAM integrated with external factors adapted from TOE framework. Quantitative research using a questionnaire was conducted on a sample of 393 lecturers. The study used a structural equation modelling technique, and the results were analysed by SmartPLS 4.0 software. The findings show that information quality significantly correlates with PU and PEOU. Service quality, system quality, and government policy show a significant relationship with either PU or PEOU. However, technical support shows an insignificant relationship with PU and PEOU. Inside the TAM itself, PU and PEOU significantly correlate with LMS usage. Finally, the current study demonstrated the role of PU and POEU as mediators between external factors and LMS usage. These study findings have implications for research and practice to guide university leaders and policymakers in understanding the factors that must be addressed.

Suggested Citation

  • Twana Tahseen Sulaiman & Anuar Shah Bali Mahomed & Azmawani Abd Rahman & Mazlan Hassan, 2023. "Understanding Antecedents of Learning Management System Usage among University Lecturers Using an Integrated TAM-TOE Model," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1885-:d:1040430
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    References listed on IDEAS

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    1. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    2. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    6. Hadeel Alharbi & Kamaljeet Sandhu, 2018. "Explaining and predicting continuance usage intention of e-learning recommender systems: an empirical evidence from Saudi Arabia," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 29(3), pages 297-323.
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