TY - JOUR
T1 - Factors affecting the E-learning acceptance
T2 - A case study from UAE
AU - Salloum, Said A.
AU - Al-Emran, Mostafa
AU - Shaalan, Khaled
AU - Tarhini, Ali
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/1/15
Y1 - 2019/1/15
N2 - The main objective of this article is to study the factors that affect university students’ acceptance of E-learning systems. To achieve this objective, we have proposed a new model that aims to investigate the impact of innovativeness, quality, trust, and knowledge sharing on E-learning acceptance. Data collection has taken place through an online questionnaire survey, which was carried out at The British University in Dubai (BUiD) and University of Fujairah (UOF) in the UAE. There were 251 students participated in this study. Data were analyzed using SmartPLS and SPSS. The Structural Equation Modelling (SEM) has been used to validate the proposed model. The outcomes revealed that knowledge sharing and quality in the universities have a positive influence on E-learning acceptance among the students. Innovativeness and trust were found not to significantly affect the E-learning system acceptance. By identifying the factors that influence the E-learning acceptance, it will be more useful to provide better services for E-learning. Other implications are also presented in the study.
AB - The main objective of this article is to study the factors that affect university students’ acceptance of E-learning systems. To achieve this objective, we have proposed a new model that aims to investigate the impact of innovativeness, quality, trust, and knowledge sharing on E-learning acceptance. Data collection has taken place through an online questionnaire survey, which was carried out at The British University in Dubai (BUiD) and University of Fujairah (UOF) in the UAE. There were 251 students participated in this study. Data were analyzed using SmartPLS and SPSS. The Structural Equation Modelling (SEM) has been used to validate the proposed model. The outcomes revealed that knowledge sharing and quality in the universities have a positive influence on E-learning acceptance among the students. Innovativeness and trust were found not to significantly affect the E-learning system acceptance. By identifying the factors that influence the E-learning acceptance, it will be more useful to provide better services for E-learning. Other implications are also presented in the study.
KW - E-learning
KW - Knowledge sharing
KW - System quality
KW - Technology acceptance
KW - Technology innovativeness
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85052068708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052068708&partnerID=8YFLogxK
U2 - 10.1007/s10639-018-9786-3
DO - 10.1007/s10639-018-9786-3
M3 - Article
AN - SCOPUS:85052068708
SN - 1360-2357
VL - 24
SP - 509
EP - 530
JO - Education and Information Technologies
JF - Education and Information Technologies
IS - 1
ER -