An Investigation of the Factors Influencing Behavioral Intentions in Self-Directed Online Learning by Integrating the Task-Technology Fit and Technology Acceptance Models

Paper Details

Authors: Lin C.-C.; Lu H.-T.; Wang Y.-C.

DOI: 10.37394/23207.2026.23.57

Journal: WSEAS Transactions on Business and Economics

Year: 2026

Publisher: World Scientific and Engineering Academy and Society

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

Online learning, a popular form of self-directed learning, relies on interactive and cooperative frameworks to provide students with educational opportunities. The results of the study show that TTF and computer self-efficacy have a positive impact on the perceived usefulness (PU) and perceived ease of use (PEU) of self-directed online learning. Additionally, PU and PEU played a mediating role in the relationship between TTF and behavioural intention. The findings emphasize the importance of cross-disciplinary knowledge acquisition through online self-learning as a motivator for students. © 2026, World Scientific and Engineering Academy and Society. All rights reserved.

Keywords

Computer self-efficacy; FinTech learning resources; online learning environments; self-directed learning; task-technology fit; technology acceptance model

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