Application of Technology Acceptance Model in Predicting Behavioral Intention to Use Safety Helmet Reminder System

Ambak, Kamarudin; Ismail, Rozmi; Abdullah, Rudi; Latiff, Azmi Abdul; Sanik, Mohd Erwan

doi:10.19026/rjaset.5.5035

Cited by 12 publications

(13 citation statements)

References 31 publications

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“…Furthermore, the factor that was found to be least provoking was police presence, which had the lowest average anger rating (M=2.08, SD=0.78) of the six factors. This finding is inline with a previous study that reported, the presence of police did not evoke any appreciable amounts of anger amongst their sample of Turkish and Malaysian drivers [11,12]. Table 2.…”

Section: Driver Anger Scale (Das) Analysissupporting

confidence: 90%

Driver Anger Scale (DAS) Among Car Drivers: How Serious Are They?

et al. 2017

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Abstract. Nowadays, anger while driving on the road is a crucial issue in Malaysia. The anger of driver may lead to traffic crashes. Road accident issue is an important agenda in every country. Driver behaviour and attitude such as impatience, hasty and hot-tempered on the road has become one of the causes in road accidents. Uncontrolled anger will affect the behavior of oneself during driving and could cause an individual to display aggressive attitude. Therefore, this study is aimed to identify contributing factor in anger of drivers and evaluate the Driver Anger Scale (DAS) in Batu Pahat, Johor. In addition, this study also analyzes the relationship between driver anger and the factor of DAS. Cross sectional study method was conducted in this study by distributing 250 questionnaires to car drivers. The data collectied was analyzed by descriptive, chi-square test, correlation and regression analysis using Statistical Package for Social Sciences (SPSS) version 20.0. The findings show that the discourtesy was reported as the most dominant factor contributing to driver anger. As a recommendation, to overcome driver anger issue, the authorities should prepare an action plan, promote and nurture public to practice good driving behaviour. Moreover, curriculum and driver training lesson should be improved to create better attitude among drivers. Drivers also should change their driving attitude by becoming safe drivers and exhibiting defensive driving skills on the road.

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Section: Driver Anger Scale (Das) Analysissupporting

confidence: 90%

Driver Anger Scale (DAS) Among Car Drivers: How Serious Are They?

et al. 2017

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“…Most of the participant's aged varied between 21 to 29 years old (40.0%) with majority of them was male (72.3%) compared to female (27.7%). This have been indicated in previous study that singles and young males are the highest group in of motorcyclist in Malaysia [11]. We also noted that most of them attained education from higher institution (59.7%) and work in private sector (41.7%) with monthly income RM3001 and above (33.3%).…”

Section: Sampling Methods and Sample Sizesupporting

confidence: 76%

“…The Technology Acceptance Model was developed by Davis (1986). This model is grounded in both Theory Reasoned Action (TRA) and Theory Planned Behavior (TPB) [10,11]. The factor in the model, namely perceived usefulness (PU), perceived ease of use (PEOU) and attitudes toward usage (ATU), represents characteristic of the system [10].…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

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Structural Equation Modelling in Behavioral Intention to Use Safety Helmet Reminder System

Rosli

Ambak

Daniel

et al. 2016

MATEC Web of Conferences

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Abstract.Motorcycle is one of private transportation which has been widely used in many countries including Malaysia. However, motorcycles are the most dangerous form of motorized transport. Royal Malaysian Police (PDRM) statistics recorded that motorcycle is the highest vehicle (45.9%) involved in traffic accident compared to other vehicles. The potential cause of the death to the motorcyclist was due to the head injury. One of strategy to mitigate this problem is through proper usage of safety helmet. Therefore, this paper was introduce a new approach on motorcyclist safety by using the Technology Acceptance Model (TAM) with additional determinants that contribute to behavioral intention and to increase the proper usage of safety helmets among Malaysian motorcyclists. The Structural Equation Modelling (SEM) was used to test the structural TAM proposed. The evaluation for structural model showed the goodness of fit indices are excellent fit. This study found that perceived ease of use, perceived usefulness and social norm are significant towards behavioral intention to use Safety Helmet Reminder System (SHR).

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“…In contrast, the structural model describes interrelationships among constructs. When the measurement model and the structural model are considered together, the model may be called the composite or full structural model [23]. Figure 1 shows a basic example of component in structural equation model.…”

Section: Structural Equation Model (Sem)mentioning

confidence: 99%

Pedestrians’ involvement on safe crossing by using facilities based on extended theory of planned behaviour

et al. 2018

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Malaysia is considered one of the countries experiencing rapid growth in motorization, automobile and transportation systems. Walking is a major mode of transportation in developing countries where most road user are pedestrians who spend significant time on roads and using the road facilities. Department of Road Safety (JKJR) Malaysia statistics recorded that pedestrian is the third highest category involved in traffic accident after the car and motocycle drivers. The potential cause of death to the pedestrian was lack of using crossing facilities and careless crossing. The main strategy can be used to reduce the severity of pedestrian fatalities by using proper safe crossing facilities. To have better understanding of pedestrian behaviour, extended theory of planned behaviour used to predict the behavioral intention and to increase the proper usage of crossing facilities among Malaysian pedestrians. Full structured models are proposed and to be tested so that, the significant predictor can be identified. In future works, a factor analysis, known as Structural Equation Model (SEM) will be used in modeling exercise. The hypothesis testing will be conducted to determine the significance of the constructs. Furthermore, it will have great significance for the future on how to better utilize and enhance the pedestrian to use crossing facilities.

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Application of Technology Acceptance Model in Predicting Behavioral Intention to Use Safety Helmet Reminder System

Cited by 12 publications

References 31 publications

Driver Anger Scale (DAS) Among Car Drivers: How Serious Are They?

Driver Anger Scale (DAS) Among Car Drivers: How Serious Are They?

Structural Equation Modelling in Behavioral Intention to Use Safety Helmet Reminder System

Pedestrians’ involvement on safe crossing by using facilities based on extended theory of planned behaviour

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