A Meta-analysis of the Unified Theory of Acceptance and Use of Technology Model in the Learning Management System Literature: Factors Affecting Students’ Behavioral Intention to Adoption amid COVID-19 Pandemic

Abstract

During the COVID-19 pandemic, eLearning has become the only channel of teaching and learning amid class suspension. The implementation and use of learning management systems in education have become essential in this context. A number of studies have examined the motivators of learning management system adoption using the unified theory of acceptance and use of technology (UTAUT). However, the empirical results reflected that some of the UTAUT relationships were different in the existing literature. Therefore, in order to examine whether the theory is performing consistently across different studies, this research aims to undertake a statistical meta-analysis of findings reported in learning management system adoption studies published since 2020. The data were collected from academic journals and research papers for data analysis. Performance expectancy was identified as the strongest predictor of usage intention. It was also revealed that effort expectancy and hedonic motivation were significant antecedents of usage intention. Suggestions for further research are also included in the study.

Presenters

Chung Yee, Tracy Lai
Senior Lecturer, Lee Shau Kee School of Business and Administration, The Hong Kong Metropolitan University, Hong Kong

Details

Presentation Type

Poster Session

Theme

Technologies in Learning

KEYWORDS

ELEARNING, EDUCATION TECHNOLOGY