Adoption of E-learning System in Higher Education Environments: Evidence from Modified UTAUT Model

Abstract

E-Learning has been an exceptional support for learners across the globe. Many people are using electronic media for different purposes. Hence, learners, especially students, can benefit from the electronic system as well. Therefore, the purpose of this study is to examine the adoption level of e-learning systems by using the extended model of UTAUT2. The data was collected using the survey method, and for this purpose, the five-point Likert scale has been used. The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling. The results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, knowledge acquisition, and knowledge sharing are positively linked with behavioral intention to use e-learning systems except for hedonic motivation. The modified model adds two new predictors: knowledge acquisition and knowledge sharing that influence students' acceptance of e-learning systems. Therefore, it will provide the educationists and policymakers a new insight into whether students are willing to adopt the E-learning system for daily use. Keywords: E-Learning System, Behavioral intention, Knowledge acquisition, Knowledge sharing, Higher education, PLS-SEM

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“…The model consists of six variables: performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, and actual use [41]. UTAUT1 is still being explored by researchers, being adopted in several domains, such as online education [43] and management of customer relations [44]. UTAUT was modified by the authors of the model, Venkatesh et al [23], with a clear objective to expand and capture more precisely the intention of using technology and is more suitable in a variety of domains.…”