Muhammad Asyraf Mohd Kassim
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Preferred name
Muhammad Asyraf Mohd Kassim
Official Name
Muhammad Asyraf, Mohd Kassim
Alternative Name
Asyraf, Muhammad
Mohamed Kassim, Muhammad Asyraf
Kassim, Muhammad Asyraf Mohd
Main Affiliation
Scopus Author ID
57191410039
Researcher ID
AAE-3270-2020

Research Output

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  • Publication
    Exploring determinants of safety behavior in Malaysian SMEs manufacturing firms: an extended conceptual model
    ( 2023)
    Nur Shazliaida Shaidan
    ;
    Muhammad Asyraf Mohd Kassim
    Occupational accidents have resulted in numerous fatalities and injuries across industrialized and developing nations. Every year, millions of workers lose their lives and suffer from non-fatal injuries due to occupational accidents. Inadequate documentation and notification systems, particularly in developing countries, have resulted in ineffective measures to address occupational accidents, leading to the absence of globally recognized standards for addressing occupational accidents. Organizations still rely on baseline occupational safety measures statistics to enhance worker safety, despite the underreporting of accident data. This study aimed to develop an extended safety model to investigate the effects of safety behavior in small and medium enterprises (SMEs) manufacturing in Malaysia. Research priorities and questions on determinants of workplace safety behavior can be explored by utilizing the model, resulting in a more focused and efficient approach to improving workplace safety. This model serves as a valuable tool for informing policies and practices necessary to protect and enhance workplace safety and workers' well-being.
  • Publication
    Exploring determinants of safety behavior in Malaysian SMEs manufacturing firms: an extended conceptual model
    ( 2023-12)
    N. S. Shaidan
    ;
    Muhammad Asyraf Mohd Kassim
    Occupational accidents have resulted in numerous fatalities and injuries across industrialized and developing nations. Every year, millions of workers lose their lives and suffer from non-fatal injuries due to occupational accidents. Inadequate documentation and notification systems, particularly in developing countries, have resulted in ineffective measures to address occupational accidents, leading to the absence of globally recognized standards for addressing occupational accidents. Organizations still rely on baseline occupational safety measures statistics to enhance worker safety, despite the underreporting of accident data. This study aimed to develop an extended safety model to investigate the effects of safety behavior in small and medium enterprises (SMEs) manufacturing in Malaysia. Research priorities and questions on determinants of workplace safety behavior can be explored by utilizing the model, resulting in a more focused and efficient approach to improving workplace safety. This model serves as a valuable tool for informing policies and practices necessary to protect and enhance workplace safety and workers' well-being.
  • Publication
    Investigating the influence of time pressure on risky riding behaviour among P-hailing riders in Malaysia: the mediating role of moral disengagement
    ( 2024-10)
    Muhammad Safizal Abdullah
    ;
    Adi Anuar Azmin
    ;
    Muhammad Asyraf Mohd Kassim
    This study investigates the impact of time pressure on risky riding behaviour among p-hailing riders in Malaysia, with moral disengagement as a mediating factor. Drawing on Bandura's Moral Disengagement Theory and the Job Demand-Resources (JD-R) Model, the research explores how time pressure influences these behaviours. A survey of 200 respondents, selected through stratified convenience sampling, was conducted across three Northern States in Malaysia, namely Perlis, Kedah, and Penang. Data analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM) reveals that time pressure significantly increases risky riding behaviour, with moral disengagement significantly mediates this relationship. The study finds that younger and less experienced riders are particularly susceptible to time pressure effects. Demographic data indicate that 80% of riders are under 35 years old, with 75% having less than three years of experience. Based on these findings, the research emphasises the need for targeted interventions, including specialised training programmes and improved workload management strategies, to mitigate risks associated with p-hailing. The study contributes to a deeper understanding of the role of a cognitive mechanism factor in influencing risky riding behaviours among p-hailing riders and provides valuable insights for enhancing road safety measures. Future research directions are suggested, including exploration of additional cognitive mechanisms that may impact risky riding behaviours in this context.
  • Publication
    A partial least square approach to predict direct and indirect effects of personality traits, aggressive driving and accident proneness: An integrated safety and logistics framework
    ( 2020-08-01)
    Muhammad Asyraf Mohd Kassim
    ;
    Hanan S.A.
    ;
    Abullah M.S.
    ;
    Aziz A.B.
    ;
    Hong C.P.
    Accident Proneness is still a new concept in road safety studies in Malaysia. The study aims to examine the measurement model of personality traits, aggressive driving and accident proneness in a large sample of Malaysian licensed drivers. A further aim is to investigate both direct and indirect effects of personality traits and direct effects of aggressive driving on accident proneness. Data were collected using by-hand survey. Participants were 732 fully licensed motor vehicle drivers, including 490 males and 242 females who completed a questionnaire including the Five Factor Personality Traits, Aggressive Driving, items related to drivers' accident records and demographic characteristics. The result of PLS-SEM analysis revealed satisfactory measurement model of five factor personality traits, aggressive driving and accident proneness with acceptable convergent and discriminant validity. The results further show that the personality traits of conscientiousness negatively relate to accident proneness and aggressive driving. Openness to experience and aggressive driving are positively related to accident proneness while agreeableness is negatively related to aggressive driving and neuroticism is positively related to aggressive driving. In addition, the results show that agreeableness, conscientiousness and neuroticism have indirect effects on accident proneness through aggressive driving.
      3  10
  • 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  20
  • Publication
    Examining the influence of riding distraction on risky riding behavior among P‐hailing riders in Malaysia: the mediating role of moral disengagement
    ( 2024)
    Muhammad Safizal Abdullah
    ;
    Adi Anuar Azmin
    ;
    Muhammad Asyraf Mohd Kassim
    Road traffic accidents involving motorcyclists are a significant public health issue in Malaysia, with p‐hailing riders particularly vulnerable. This study investigates the influence of riding distraction on risky riding behavior among p‐hailing riders in Malaysia, focusing on the mediating role of moral disengagement. Drawing on Bandura’s Moral Disengagement Theory and the Job Demand‐Resources (JD‐R) model, this research explores how distractions, such as mobile phone use and navigation adjustments, contribute to moral disengagement and subsequently lead to risky riding behaviors. A sample of 200 p‐hailing riders, representative of the broader rider population, was analyzed using Partial Least Squares Structural Equation Modeling (PLS‐SEM) to test the hypothesized relationships. The findings reveal that riding distraction significantly increases risky riding behavior and that this relationship is partially mediated by moral disengagement. These results underscore the importance of addressing external distractions and cognitive justifications to improve road safety among p‐hailing riders. The study recommends implementing specific interventions such as strict mobile phone usage policies and targeted training programs to reduce risky behaviors. These findings have the potential to inform policy and enhance safety practices for p‐hailing riders, thereby reducing the incidence of road traffic accidents in this high‐risk group.
      3  74
  • Publication
    Rectifying the disciplinary case on employees absenteeism in manufacturing companies
    ( 2022-06)
    Mohd Fitri M.
    ;
    Noor Athira Osman
    ;
    Noor Hidayah Abu
    ;
    Muhammad Asyraf Mohd Kassim
    ;
    Mohammad Harith Amlus
    Absenteeism is defined as an employee failing to report for duty and being present at work without permission from the employer or a reasonable excuse for such an absence. It can be considered as one of the critical disciplinary cases in the organisation, particularly among employees in manufacturing sectors where it keeps increasing from time to time. Failure to rectify these disciplinary issues contributed to many manufacturing companies suffering more than RM6 billion in yearly costs for man-days lost through the absence of their employees. In view of the above scenario, it is very pertinent to rectify the disciplinary case on an employee’s absenteeism in manufacturing companies in order to reduce the absenteeism rate in the organisations. Thus, the aim of this study is to explore the determinants of employees’ absenteeism, specifically job satisfaction, reward management, working conditions, and employees’ morale in manufacturing companies. This study employed a quantitative approach using a survey. The random sampling procedure technique was used to select 200 employees in manufacturing companies. The findings show that job satisfaction and working conditions influence employee absenteeism in manufacturing companies, but reward management and employee morale have the opposite effect. The findings of the study may have both pragmatic and theoretical implications. Finally, the study also discusses the study’s limitations and recommendations for future research.
      2  13
  • Publication
    Road accident proneness in Malaysia: A hypothesized model of driver's demographic profiles, aggressive driving and risky driving
    ( 2021-05-03)
    Muhammad Asyraf Mohd Kassim
    ;
    Hanan S.A.
    ;
    Muhammad Safizal Abdullah
    ;
    Hong C.P.
    Road accidents are considered one of the most severe threats to the motoring public globally, including Malaysia. There was a considerable number of vehicles involved in road accidents, specifically motorcycles and motorcars. Together, they recorded the highest number of vehicles involved in accidents on Malaysian roads. Malaysian authorities on road safety and transportation have taken numerous efforts such as public education, campaign, and traffic rules enforcement in order to reduce accident rates among the most accident-prone road users, namely drivers of motorcars and motorcycles. However, evidence suggests that accident rates among these accident-prone drivers remain high. Thus, motorcar and motorcycle drivers, by far, remains as high-risk road users on Malaysian road. Many studies in the past attempted to discover factors that contribute to the high number of road accidents among these high-risk drivers. However, these studies were engineering-based, and countermeasures suggested from behavioral studies are still scarce. Therefore, the present study aims to bridge the existing gap. Specifically, this study will propose a conceptual framework to investigate the relationship and influence of behavioral variables on road accident proneness among motorcar and motorcycle drivers. The framework is expected to aid government agencies such as JPJ, PDRM, JKJR, and Ministry of Transport in the planning of effective road safety campaigns, education, and enforcement by targeting a specific group of high-risk road user.
      4  19
  • 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.
      1  14
  • 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