Implementation of Technology Acceptance Model (TAM) in Business Research on Web Based Learning System
Gholamreza Khorasani1, Li Zeyun2
1Gholamreza Khorasani, Department of Civil Engineering, Sains Malaysia University, Penang Malaysia.
2Li Zeyun, Department of Management, Sains Malaysia University, Penang Malaysia.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 112-116 | Volume-3 Issue-11, April 2014 | Retrieval Number: K16220431114/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In contemporary society, Web based learning system (e-learning) is playing a significant role in our lives, it enable us to easily to access different internet sources and make students to study much more efficiency and effective. This study developed and empirically tested a model testing on the perceived usefulness and perceived ease of use toward intention to use web based learning system. In our study, we aim to find out the fundamental factors that influence intention to use web based learning system (elearning). Quantitative survey is carried out among undergraduate students to explore how the independent variables and mediating variables will affect the dependent variable using e-learning. We apply Technology Acceptance Model (TAM) to construct a theoretical framework. Our sample size is 150 students’ data from Universiti Sains Malaysia based on convenience sampling. The data gathered through questionnaire was coded and analyzed using the computerized Statistical Software Package for Social Science (SPSS) software. We apply frequency analysis, descriptive analysis, validity and reliability test, correlation test and multiple regression analysis in our research. Based on our findings, the mediating variables perceived usefulness and perceived ease of use had the strongest impact on using web based learning system. These findings also very useful to provide insights for future research and management practice on the improvement of web based learning system.
Keywords: Web-Based Learning, E-Learning, SPSS, Technology Acceptance Model (TAM), Regression Analysis.
Scope of the Article: Web Mining