Journal of Management Research and Review (JMRR) · Research article · Open access
Conceptual Development of Artificial Intelligence Acceptance Among Employees of Open and Distance Learning Higher Education Institutions in Malaysia
Intan Shuhada Mohd Alwi, Zahir Osman, Nazruzila Razniza Mohd Nadzri
18 August 2026 · Vol. 2, Issue 8, pp. 629-633
DOI: 10.65150/EP-jmrr/V2E8/2026-08
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What is this article about?
Institutional employees are at the heart of organisational transformation through the integration of artificial intelligence (AI) in higher education systems. Malaysia's digitalisation transformation is driven by national imperatives, yet the workforce in Open and Distance Learning (ODL) higher education institutions, particularly administrative, technical and support staff, remains insufficiently explored in AI acceptance research.
Article at a glance
- Published
- 18 August 2026
- Volume / issue / pages
- Vol. 2, Issue 8, pp. 629-633
- ISSN
- 3051-3588 (online) · 3051-357X (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Institutional employees are at the heart of organisational transformation through the integration of artificial intelligence (AI) in higher education systems. Malaysia's digitalisation transformation is driven by national imperatives, yet the workforce in Open and Distance Learning (ODL) higher education institutions, particularly administrative, technical and support staff, remains insufficiently explored in AI acceptance research. This conceptual paper addresses this gap by proposing an integrated framework grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The model conceptualises Perceived Usefulness, Perceived Ease of Use, Attitude Toward AI and Organisational Support as antecedents of Intention to Accept AI, which in turn influences AI Acceptance. Theoretical propositions are developed to guide a quantitative empirical agenda. The paper contributes a contextually grounded model specific to the Malaysian ODL environment and identifies key research gaps and implications for theory, future research, and institutional practice.
Keywords: acceptance of artificial intelligence, Technology Acceptance Model, open and distance learning, Malaysia, organisational support
Cite this article
Intan Shuhada Mohd Alwi, Zahir Osman, & Nazruzila Razniza Mohd Nadzri (2026). Conceptual Development of Artificial Intelligence Acceptance Among Employees of Open and Distance Learning Higher Education Institutions in Malaysia. Journal of Management Research and Review, 2(8), 629-633. https://doi.org/10.65150/EP-jmrr/V2E8/2026-08
@article{Intan2026,
title = {Conceptual Development of Artificial Intelligence Acceptance Among Employees of Open and Distance Learning Higher Education Institutions in Malaysia},
author = {Intan Shuhada Mohd Alwi and Zahir Osman and Nazruzila Razniza Mohd Nadzri},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {8},
pages = {629-633},
doi = {10.65150/EP-jmrr/V2E8/2026-08},
url = {https://doi.org/10.65150/EP-jmrr/V2E8/2026-08}
}Questions about this article
Who wrote this article?
Intan Shuhada Mohd Alwi, Zahir Osman, Nazruzila Razniza Mohd Nadzri.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 8, pages 629-633, published by EP Journals Group on 18 August 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jmrr/V2E8/2026-08 (https://doi.org/10.65150/EP-jmrr/V2E8/2026-08).
How do I cite this article?
APA: Intan Shuhada Mohd Alwi, Zahir Osman, & Nazruzila Razniza Mohd Nadzri (2026). Conceptual Development of Artificial Intelligence Acceptance Among Employees of Open and Distance Learning Higher Education Institutions in Malaysia. Journal of Management Research and Review, 2(8), 629-633. https://doi.org/10.65150/EP-jmrr/V2E8/2026-08
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