Title: Predicting behavioural intentions using an extended technology acceptance model

Authors: Hasan M. Aleassa; Hayel T. Ababneh; Khider Hamid Khider; Ahmad Al-Omari

Addresses: Faculty of Business Studies, Arab Open University, Kuwait ' Department of Business Administration, Faculty of Economics and Administrative Sciences, Al Albayt University, Jordan ' Faculty of Business Studies, Arab Open University, Kuwait ' Computer Information Systems and Security Department, School of Business and Leadership, Our Lady of the Lake University, Boerne, Texas, USA

Abstract: Though e-learning is being adopted at an accelerating rate in universities, extant research suggests that the dropout rate in the e-learning context is substantially high. Yet, some researchers argue that our knowledge of the reasons for why some users discontinue online learning after their initial usage is limited. Thus, a research model (based on TAM) was developed with direct, indirect, and moderating hypotheses to investigate factors affecting intention to continue use the e-learning system. The results indicated a significant direct effect of perceived usefulness and perceived ease of use on students' satisfaction with the e-learning, which in its turn significantly affects intention to continue using the e-learning system. Moreover, the study found a direct and mediating effect (through confirmation) of subjective norms on perceived usefulness. Lastly, the results of the study revealed a direct effect of self-efficacy on perceived ease of use, the study also showed that this relationship was moderated by two constructs: technical support and resilience. Discussion of the results, recommendations, limitations of the study and directions for future research are provided.

Keywords: e-learning; electronic learning; technology acceptance model; TAM; perceived ease of use; PEOU; subjective norms; perceived usefulness; self-efficacy; resilience; technical support; behavioural intentions; knowledge management.

DOI: 10.1504/IJKMS.2022.126153

International Journal of Knowledge Management Studies, 2022 Vol.13 No.4, pp.423 - 444

Received: 24 Mar 2021
Accepted: 29 Sep 2021
Published online: 13 Oct 2022 *

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