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University Accounting Students and Faculty Members Using the Blackboard Platform during COVID-19; Proposed Modification of the UTAUT Model and an Empirical Study

Author

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  • Abdulwahab Mujalli

    (Accounting Department, College of Business Administration, Jazan University, Jazan 45142, Saudi Arabia)

  • Tehmina Khan

    (School of Accounting, Information System and Supply Chain, College of Business and Law, RMIT University, Melbourne 3000, Australia)

  • Ahmed Almgrashi

    (Accounting Department, College of Business Administration, Jazan University, Jazan 45142, Saudi Arabia)

Abstract

The current COVID-19 pandemic has changed education systems in most countries: some have shut down whilst others, especially in the higher education sector, have introduced electronic/distance learning systems, such as Blackboard platforms. The current study aimed to identify and test the factors that influence accounting students’ and faculty members’ Blackboard platform use during the pandemic. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was extended and modified by adding four new variables: perceived risk, mobility, self-efficacy and self-managed learning. This was done to generate an understanding of people’s usage traits. This is the main contribution of the article: the extension of UTAUT in this context and the consideration of online learning in a pandemic environment situation. Pandemics oppose sustainability from numerous contexts. Measures which counteract sustainability risks associated with pandemics, such as use of technology, are critical risk management instruments and are, thus, important for consideration. Through an online survey, the data was gathered from accounting students and faculty staff in an accounting department at Jazan University, Saudi Arabia. Structural equation modelling (SEM) was used to analyse the data and examine the hypotheses. This study confirmed the hypotheses concerning the influence of the Blackboard platform on mobility, self-efficacy and self-managed learning. This article contributes to the existing UTAUT model by extending our understanding of the influence of factors to use Blackboard platforms. Moreover, the results have practical implications for policymakers, practitioners, online learning product providers and teaching staff looking to develop efficient strategies concerning learning-related information technologies.

Suggested Citation

  • Abdulwahab Mujalli & Tehmina Khan & Ahmed Almgrashi, 2022. "University Accounting Students and Faculty Members Using the Blackboard Platform during COVID-19; Proposed Modification of the UTAUT Model and an Empirical Study," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2360-:d:753065
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. 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.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Luis Miguel Lázaro Lorente & Ana Ancheta Arrabal & Cristina Pulido-Montes, 2020. "The Right to Education and ICT during COVID-19: An International Perspective," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    5. Alaa Badwelan & Steve Drew & Adel Bahaddad, 2016. "Towards Acceptance M-Learning Approach in Higher Education in Saudi Arabia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(8), pages 1-12, July.
    6. Tehmina Khan & Pavithra Siriwardhane, 2021. "Barriers to Career Progression in the Higher Education Sector: Perceptions of Australian Academics," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    7. 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.
    8. Homer Austin, 1983. "Sample size: How much is enough?," Quality & Quantity: International Journal of Methodology, Springer, vol. 17(3), pages 239-245, June.
    9. Ruba Abdelmatloub Moawad, 2020. "Online Learning during the COVID- 19 Pandemic and Academic Stress in University Students," Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, Editura Lumen, Department of Economics, vol. 12(1Sup2), pages 100-107, June.
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    4. Tommy Tanu Wijaya & Peijie Jiang & Mailizar Mailizar & Akhmad Habibi, 2022. "Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.

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