An intervention for motorcycle helmet usage based on technology acceptance model

Motorcycle is a major personal transport mode in Malaysia. However, majority of road accidents fatalities involve motorcyclist. Royal Malaysian Police reported that head is the most part of body casualties and fatalities in year 2014. One of the strategies to mitigate this problem is through proper...

Full description

Saved in:

Bibliographic Details
Main Author:	Rosli, Naida
Format:	Thesis
Language:	English English English
Published:	2017
Subjects:	TL Motor vehicles Aeronautics Astronautics
Online Access:	http://eprints.uthm.edu.my/9972/2/24p%20NAIDA%20ROSLI.pdf http://eprints.uthm.edu.my/9972/1/NAIDA%20ROSLI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/9972/3/NAIDA%20ROSLI%20WATERMARK.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uthm-ep.9972
record_format	uketd_dc
spelling	my-uthm-ep.99722023-09-13T07:33:03Z An intervention for motorcycle helmet usage based on technology acceptance model 2017-09 Rosli, Naida TL Motor vehicles. Aeronautics. Astronautics TL1-484 Motor vehicles. Cycles Motorcycle is a major personal transport mode in Malaysia. However, majority of road accidents fatalities involve motorcyclist. Royal Malaysian Police reported that head is the most part of body casualties and fatalities in year 2014. One of the strategies to mitigate this problem is through proper usage of safety helmet. Thus, this study was introduce a new approach on motorcyclist safety using Technology Acceptance Model (TAM) with additional variables. TAM is a theory model used by researcher to examine the factor of acceptance of new technologies among users. To test the hypothesized model, 319 of respondents among motorcyclist was chosen as a sample size. The Structural Equation Modelling (SEM) approach was performed to test full structural model. The result shows that the goodness of fit indices are excellent fit and all variables (perceived usefulness, perceived ease of use, descriptive norm, subjective norm and perceived safety) were statistically significant towards behavioral intention to use Safety Helmet Reminder System (SHR). It demonstrates that SHR is significantly improve the helmet use among motorcyclist. R2 value of . 77 shows that 77% change in the criterion variables is caused due to the change taking place by a combination five predictor variables. Perceived Safety was found the most dominant variables towards behavioral intention to use Safety Helmet Reminder system. Therefore, TAM model with extended variables are suitable to predict the behavioral intention to use SHR system among motorcyclist. The conceptual of SHR system is proposed to function effectively and directly will increase safety helmet usage. 2017-09 Thesis http://eprints.uthm.edu.my/9972/ http://eprints.uthm.edu.my/9972/2/24p%20NAIDA%20ROSLI.pdf text en public http://eprints.uthm.edu.my/9972/1/NAIDA%20ROSLI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/9972/3/NAIDA%20ROSLI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Awam dan Alam Sekitar
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TL Motor vehicles Aeronautics Astronautics TL Motor vehicles Aeronautics Astronautics
spellingShingle	TL Motor vehicles Aeronautics Astronautics TL Motor vehicles Aeronautics Astronautics Rosli, Naida An intervention for motorcycle helmet usage based on technology acceptance model
description	Motorcycle is a major personal transport mode in Malaysia. However, majority of road accidents fatalities involve motorcyclist. Royal Malaysian Police reported that head is the most part of body casualties and fatalities in year 2014. One of the strategies to mitigate this problem is through proper usage of safety helmet. Thus, this study was introduce a new approach on motorcyclist safety using Technology Acceptance Model (TAM) with additional variables. TAM is a theory model used by researcher to examine the factor of acceptance of new technologies among users. To test the hypothesized model, 319 of respondents among motorcyclist was chosen as a sample size. The Structural Equation Modelling (SEM) approach was performed to test full structural model. The result shows that the goodness of fit indices are excellent fit and all variables (perceived usefulness, perceived ease of use, descriptive norm, subjective norm and perceived safety) were statistically significant towards behavioral intention to use Safety Helmet Reminder System (SHR). It demonstrates that SHR is significantly improve the helmet use among motorcyclist. R2 value of . 77 shows that 77% change in the criterion variables is caused due to the change taking place by a combination five predictor variables. Perceived Safety was found the most dominant variables towards behavioral intention to use Safety Helmet Reminder system. Therefore, TAM model with extended variables are suitable to predict the behavioral intention to use SHR system among motorcyclist. The conceptual of SHR system is proposed to function effectively and directly will increase safety helmet usage.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Rosli, Naida
author_facet	Rosli, Naida
author_sort	Rosli, Naida
title	An intervention for motorcycle helmet usage based on technology acceptance model
title_short	An intervention for motorcycle helmet usage based on technology acceptance model
title_full	An intervention for motorcycle helmet usage based on technology acceptance model
title_fullStr	An intervention for motorcycle helmet usage based on technology acceptance model
title_full_unstemmed	An intervention for motorcycle helmet usage based on technology acceptance model
title_sort	intervention for motorcycle helmet usage based on technology acceptance model
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Awam dan Alam Sekitar
publishDate	2017
url	http://eprints.uthm.edu.my/9972/2/24p%20NAIDA%20ROSLI.pdf http://eprints.uthm.edu.my/9972/1/NAIDA%20ROSLI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/9972/3/NAIDA%20ROSLI%20WATERMARK.pdf
_version_	1783728977039327232

An intervention for motorcycle helmet usage based on technology acceptance model

Similar Items