Decoding digital learning: analysing antecedents of behavioural intention and e-learning adoption
Decoding digital learning: analysing antecedents of behavioural intention and e-learning adoption

Summary/Abstract: This study seeks to identify the determinants of behavioural intention (BI) and to examine how BI influences e-learning adoption (ELA) behaviour among students. The article investigates the impact of five key factors – Accessibility, Government Policy, Organisational Support, Instructor Attitude, and Technostress – on intention to use and adopt e-learning platforms. A validated questionnaire was administered to a heterogeneous sample of 290 participants, and SmartPLS 4.0 was used for the analysis. The findings indicate that Technostress, Government Policy, and Organisational Support have a substantial and positive influence on intention and acceptance of the virtual learning platform, with Technostress emerging as the most influential factor. By contrast, Accessibility and Instructor Attitude are not significant, suggesting that access to digital infrastructure and e-learning platforms is generally good, and that students consistently report positive instructor attitudes; as a result, there is insufficient variance for these variables to meaningfully differentiate outcomes in the statistical model. The results show a strong effect of BI on e-learning adoption, with a large effect size. In addition, the model explains 53% of the variance in behavioural intention and 49% of the variance in e-learning adoption, indicating strong explanatory power. Notably, Technostress has the greatest impact, and its effects can be reduced through immersive and engaging sessions. This suggests that Technostress may sometimes function as a 'challenge stressor' rather than a 'hindrance stressor', encouraging active engagement rather than avoidance. These issues should be integrated into strategic decision-making to enhance digital education outcomes through a positive, engaging virtual learning system.

• Details
• Contents