International Journal of
Information and Education Technology

Abstract—This study aimed to investigate the degree of faculty members’ acceptance of digital knowledge management through Artificial Intelligence (AI)-based Learning Management Systems (LMS) in Jordanian universities, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers adopted a descriptive-analytical approach to assess the effectiveness of AI-based LMS as an independent variable on the dependent variable of digital knowledge management. A questionnaire was used as the primary data collection instrument and was distributed randomly through Google applications to a sample of 320 faculty members from universities in northern Jordan. The study results indicated that faculty members exhibited a high level of acceptance of digital knowledge management through AI-based e-learning systems. Furthermore, the findings revealed that key UTAUT constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—had a significant positive impact on faculty members’ intention to use AI-based LMS for digital knowledge management. The researchers recommend encouraging faculty members to integrate AI applications into educational management, particularly in digital knowledge management, while considering theoretical models such as UTAUT to enhance adoption and implementation.

Keywords—digital knowledge management, learning management systems, Artificial Intelligence (AI), Unified Theory of Acceptance and Use of Technology (UTAUT), faculty members

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Cite: Osamah Mohammad Ameen Aldalalah, "Faculty Members’ Acceptance of Digital Knowledge Management through AI-based Learning Management Systems in Universities according to the Unified Theory of Acceptance and Use of Technology," International Journal of Information and Education Technology, vol. 16, no. 8, pp. 2164-2174, 2026.

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).