Understanding the effect of system characteristics on e-learning adoption and usage during the COVID-19 pandemic

Gopal Krishna G, S and S;

International Journal of Knowledge and Learning, 2025, vol. 18, issue 3, 270-290

Abstract: E-learning in higher education and the professional workforce has surged in recent years. However, the influence of system characteristics on adoption factors of e-learning systems has not been extensively studied. This study aims to understand how system characteristics affect user expectancies and e-learning system adoption factors. The study employed the 'unified theory of acceptance and use of technology' (UTAUT2) and included five system characteristic variables to expand the model. The results demonstrated that the characteristics of e-learning systems influenced users' expectancies and highlighted the most crucial system characteristics. It was also exhibited that user expectancies, hedonic motivation, and habit affected users' intention to use e-learning platforms. Findings provide directions for educational institutes and organisations to improve the design and use intention of e-learning systems.

Keywords: e-learning; adoption; behavioural intention; BI; system characteristics; performance expectancy; PE; effort expectancy; EE; course content quality; system functionality; SF; system interactivity; SIT; system response; SR; user interface design; UID. (search for similar items in EconPapers)
Date: 2025
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