TY - JOUR
T1 - Factors influencing students' adoption of e-learning
T2 - A structural equation modeling approach
AU - Tarhini, Ali
AU - Deh, Ra'ed Masa
AU - Al-Busaidi, Kamla Ali
AU - Mohammed, Ashraf Bany
AU - Maqableh, Mahmoud
N1 - Publisher Copyright:
© 2017 Emerald Publishing Limited.
PY - 2017
Y1 - 2017
N2 - Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students.Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy,effort expectancy,hedonic motivation, habit,social influence,price value and facilitating conditions) by incorporating two additional factors,namely,trust and self-efficacy. Data were collected fromstudents at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy,social influence,habit,hedonic motivation,self-efficacy,effort expectancy and trust,in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention.Contrary to expectations,facilitating conditions and price value did not have an nfluence on behavioral intention.Originality/value The aforementioned factors are considered critical in explaining technology adoption but,to the best of the authors'knowledge,there has been no study in which all these factors were modeled together.Therefore,this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.
AB - Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students.Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy,effort expectancy,hedonic motivation, habit,social influence,price value and facilitating conditions) by incorporating two additional factors,namely,trust and self-efficacy. Data were collected fromstudents at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy,social influence,habit,hedonic motivation,self-efficacy,effort expectancy and trust,in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention.Contrary to expectations,facilitating conditions and price value did not have an nfluence on behavioral intention.Originality/value The aforementioned factors are considered critical in explaining technology adoption but,to the best of the authors'knowledge,there has been no study in which all these factors were modeled together.Therefore,this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.
KW - E-learning
KW - Structural equation modeling
KW - Technology acceptance
KW - Technology adoption
KW - UTAUT2
KW - Unified theory of acceptance and use of technology
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U2 - 10.1108/JIEB-09-2016-0032
DO - 10.1108/JIEB-09-2016-0032
M3 - Article
AN - SCOPUS:85032294748
SN - 2046-469X
VL - 10
SP - 164
EP - 182
JO - Journal of International Education in Business
JF - Journal of International Education in Business
IS - 2
ER -