Muhammad Safizal Abdullah
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Preferred name
Muhammad Safizal Abdullah
Official Name
Muhammad Safizal, Abdullah
Alternative Name
Abdullah, Muhammad Safizal
Abdullah, Muhammad
Abdullah, M. S.
Abdullah, M.
Main Affiliation
Scopus Author ID
56622170600
Researcher ID
FMD-5339-2022

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  • Publication
    Road accident proneness among motorcyclist in Malaysia: a structural equation modeling approach
    ( 2022-10)
    Aidil Hanafi Amirrudin
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Muhammad Safizal Abdullah
    ;
    Wan Mashumi Wan Mustafa
    ;
    Mohd Fitri M.
    Road accidents have alarmed Malaysian citizens all over the country. This study proves that a combination of human characteristics may contribute to the increase in the accident rate of motorcyclists on the road. Human characteristics such as riding anger, riding attitude, and lack of mindfulness may be the leading causes of motorcycle accidents. Malaysian road accident proneness research is still in its early phase. This study intends to investigate the relationship between riding anger, riding attitude, mindfulness, and road accident proneness. This study adopts a quantitative methodology employing a questionnaire distributed to visitors of authorised Yamaha dealers in Kuala Lumpur and Selangor. The results of structural equation modelling reveal that riding anger, riding attitude, and mindfulness substantially impact road accident proneness. The explanation of the current research contains significant theoretical and practical significance, as well as suggestions for minimising the accident rate of road users.
  • Publication
    Safety knowledge - a systematic literature review
    ( 2024)
    Nur Shazliaida Shaidan
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Ummi Naiemah Saraih
    ;
    Mohd Fitri M.
    ;
    Muhammad Safizal Abdullah
    ;
    Wan Mashumi Wan Mustafa
    Safety is an imperative element within organisations, including the manufacturing industry in Malaysia, and prioritising safety knowledge is essential for establishing a secure working environment. This paper provides a comprehensive review of current research on safety knowledge, specifically focusing on the influential factors, given that this predictor has received serious attention in the occupational safety literature in manufacturing organisations. The review discusses the concept of safety knowledge, factors influencing safety knowledge and gaps in the literature in previous studies. The final section of the paper offers a discussion on potential avenues for future research and concludes with insights pertinent to this study’s findings.
  • Publication
    Partial least squares approach for predicting turnover intention: The role of workplace violence and burnout among medical frontliners in Malaysia
    ( 2021-05-03)
    Muhammad Asyraf Mohd Kassim
    ;
    Muhammad Safizal Abdullah
    ;
    Wan Mashumi Wan Mustafa
    ;
    Ahmad Khairi Yahya
    The paper aims to investigate the relationship between workplace violence, occupational burnout and turnover among nurses in Malaysia. Self-administered questionnaires were distributed to 420 nurses at public hospitals in the Northern part of Malaysia. The results were then analyzed using the Social Sciences Statistical System (SPSS) and the Structural Equation Model (PLS-SEM) Partial Least Squares. The findings indicate that workplace violence and occupational burnout were positively significant with turnover. At the end of the paper, forwarded a few suggestions and recommendations based on the finding.
      1
  • Publication
    Purchase intention on cars among Malaysian in the central region of Malaysia
    ( 2022-10)
    Aidil Hanafi
    ;
    Wan Mashumi Wan Mustafa
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Muhammad Safizal Abdullah
    ;
    Nurshahirah Salehuddin
    Profits are necessary for the survival of every business in the world. However, it may be difficult if the company is unable to attract new customers or meet their demands, particularly in a competitive market dominated by vehicle businesses that may rely on monthly sales to survive. Therefore, it is vital to determine the elements that influence vehicle transportation purchase intention. To this end, this study utilised a quantitative approach and questionnaires were sent to residents in Malaysia's central region. Successfully gathered 381 questionnaires, which were distributed to the respondents. Analyses were performed using Statistical Package for the Social Sciences (SPSS) software and Smart Partial Least Square (PLS) software. Demographic analysis was executed by using SPSS and Smart PLS to test the measurement and structural model. Various variables were analysed, including customers’ belief, product quality, brand information, and customers’ perception, that might influence purchase intention. According to the study's findings, customers’ beliefs, brand information, and customers’ perception had a substantial positive relationship with purchase intention. Explanation of the current research offers substantial theoretical and practical value and ideas for increasing vehicle company clients and sales.
      5  16
  • Publication
    Assessing the factors affecting road accident involvement among motorcycle riders using partial least squares structural equation modeling approach
    ( 2023-06-12)
    Amiruddin A.H.
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Muhammad Safizal Abdullah
    ;
    Hanan S.A.
    ;
    Wan Mashumi Wan Mustafa
    This research investigates the factors that influence high numbers of road fatalities and accidents among motorcycle riders. This study proposes a conceptual framework that illustrates how high-risk road users, such as motorcycle riders, can prevent road accidents by fostering high-impact preventive countermeasures for sustainable traffic safety. Several critical variables on road user behavior related to road accident involvement are presented in a conceptual framework. The proposed conceptual framework suggested that behavioral factors such as anger, attitude, and sensation seeking affect the motorcycle riders' involvement in a road accident. Additionally, mindfulness plays an important mediating role between behavioral factors and road accident involvement. The proposed framework considers a comprehensive set of reviews rarely discussed in the existing literature. Partial least squares structural equation modeling (PLS-SEM) was proposed to evaluate the proposition of the latent variables and their influence on road accident involvement. The proposed path model indicated that mindfulness has a strategic role in reducing road accident involvement, having an indirect effect through riding anger, attitude and sensation seeking. The study could benefit transportation authorities and agencies in Malaysia to execute high-impact countermeasures to reduce road accident involvement among motorcyclists in Malaysia.
      1