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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Understanding Online Knowledge Sharing Intention A Factor Analysis in e-Learning System

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Author Wan Khairuzzaman Wan Ismail, Seyed Ali Hosseini
ISSN 2079-8407
On Pages 9-20
Volume No. 5
Issue No. 1
Issue Date January 31, 2014
Publishing Date January 31, 2014
Keywords knowledge sharing, E-learning, knowledge sharing behavior, theory of planned behavior, educational compatibility, intention to share, attitude to share, individual factors, trust, perceived ease of use, perceived usefulness.


The purpose of this thesis is to examine the KS enablers and individual factors influence intention to KS in E-Learning system. Moreover, its objective is to identify the individual influence on intention to share knowledge in E-Learning system and to recognize relationships among them. The current research expands a theoretical framework of online KS factors with the Decomposed Theory of Planned Behaviour (DTPB). An online questionnaire survey was applied to collect data and the analysis was completed according to583 responses from students who act in EL system of Open University Malaysia (OUM). A semi-structured interview was constructed with 10 participants who were facilitators and teachers in EL system of OUM as the case study to achieve ks comprehensible and understandable intention. The outcomes of the study survey and interview support the fundamental statement that superior altitudes of individual motivational factors including trust, perceived ease of use, perceived usefulness, and educational compatibility direct to influence intention to share knowledge well. The conclusions also illustrate those motivational KS factors which were classified by DTPB model influence intention to share in EL system strongly.

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