Model Penerimaan Teknologi Lanjutan Bagi Meramal Keinginan Menggunakan Sistem Peringatan Topi Keledar

Abstract

Motorcycle is a common transport use in Malaysia compared to other transportation such as car. However, every year motorcyclist is the highest contributors towards road death accident statistic. This paper presents a new intervention to enhance the safety of motorcyclist regarding head injuries issue. A new approach called conceptual design of Safety Helmet Reminder (SHR) system is proposed. The Technology Acceptance Model (TAM) is adopted to predict behavioral intention to use SHR among motorcyclists. The self- administered questionnaires were distributed among 300 motorcyclists as respondent in Batu Pahat, Johor. The data were analyzed using a correlation and hierarchical multiple regression analysis. The results show that all variables are highly correlated, positive linear relationship and significantly at 0.01 (p<0.01). In addition, the hierarchical multiple regression demonstrates perceived ease of use, behavioral intention to use SHR and additional variables (perceived safety, subjective norm and descriptive norm) are found significant (p<0.05). As a conclusion, perceived safety, subjective norm, descriptive norm, perceived ease of use and behavioral intention to use technology remained a significant predictor of helmet use. However, perceived usefulness and attitude toward using technology were not significant in predicting helmet use among motorcyclist.