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Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling

Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling

A.Y.M. Atiquil Islam
Copyright: © 2014 |Volume: 10 |Issue: 3 |Pages: 14
ISSN: 1548-3908|EISSN: 1548-3916|EISBN13: 9781466657144|DOI: 10.4018/ijthi.2014070104
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MLA

Islam, A.Y.M. Atiquil. "Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling." IJTHI vol.10, no.3 2014: pp.44-57. http://doi.org/10.4018/ijthi.2014070104

APA

Islam, A. A. (2014). Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling. International Journal of Technology and Human Interaction (IJTHI), 10(3), 44-57. http://doi.org/10.4018/ijthi.2014070104

Chicago

Islam, A.Y.M. Atiquil. "Validation of the Technology Satisfaction Model (TSM) Developed in Higher Education: The Application of Structural Equation Modeling," International Journal of Technology and Human Interaction (IJTHI) 10, no.3: 44-57. http://doi.org/10.4018/ijthi.2014070104

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Abstract

This project validates the Technology Satisfaction Model (TSM) developed. While Technology Acceptance Model (TAM) developed by Davis (1989) ignored the issue of computer self-efficacy and satisfaction. TSM incorporates both. While TAM is used for measuring the acceptance of technology in general; TSM examines the satisfaction on wireless internet usage with a particular focus to the students studying in Higher Education. To develop and validate the TSM, data gained through a survey conducted with 285 students studying in five faculties of a comprehensive public university in Malaysia. Quota sampling technique was used. Instrument reliability and validity were performed by Rasch analysis using Winsteps version 3.49. The results of the study were analyzed by Structural Equation Modeling (SEM) using AMOS version 18.0. The findings showed that perceived ease of use and perceived usefulness had a statistically significant positive direct influence on satisfaction. Subsequently, computer self-efficacy discovered a significant positive direct influence on perceived usefulness and perceived ease of use. Moreover, the results also demonstrated that computer self-efficacy had a significant indirect influence on satisfaction mediated by perceived usefulness. Eventually, computer self-efficacy also revealed a statistically significant indirect influence on satisfaction mediated by perceived ease of use of wireless internet.

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