Research Article | OPEN ACCESS
Application of Technology Acceptance Model in Predicting Behavioral Intention to Use Safety Helmet Reminder System
1Kamarudin Ambak, 2Rozmi Ismail, 3Riza Atiq Abdullah, 4Azmi Abdul Latiff and 1Mohd Erwan Sanik
1Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia
2Faculty Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Selangor, Malaysia
3Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor, Malaysia
4Faculty of Science, Technology and Human Development, Universiti Tun Hussein
Onn Malaysia, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2013 3:881-888
Received: June 19, 2012 | Accepted: July 09, 2012 | Published: January 21, 2013
Abstract
Motorcycle is a common and popular mode of transportation in many developing countries. However, statistic of road accidents by the Royal Malaysian Police reveals that motorcyclists are found to be the most vulnerable road users as compared to users of other vehicles. This is due to the lack of safety protection and instability of motorcycles themselves. Despite the usefulness and effectiveness of safety helmet to prevent head injuries, majority of motorcycle users do not wear and fasten their helmet properly. This study presents a new approach in enhancing the safety of motorcycle riders through proper usage of safety helmet. The Technology Acceptance Model (TAM) was adopted in predicting the behavioral intention to use Safety Helmet Reminder (SHR) system towards a more proper helmet usage among motorcyclists. A multivariate analysis technique, known as Structural Equation Modeling (SEM) was used in modeling exercise. Results showed that the construct variables in TAM were found to be reliable and statistically significant. The evaluation of full structural model (TAM) showed the goodness-of-fit indices such as Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), Comparative of Fit Index (CFI) and Tucker Lewis Index (TLI) were greater 0.9 and Root Means Square Error Approximation (RMSEA) was less than 0.08. Perceived ease of use was found as strong predictors than perceived usefulness regarding behavioral intention to use SHR. In addition, this study postulates that behavioral intention to use SHR has direct effect on the proper usage of safety helmet significantly.
Keywords:
Helmet use, safety helmet reminder system, structural equation modeling, technology acceptance model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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