Wan Mashumi Wan Mustafa
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Preferred name
Wan Mashumi Wan Mustafa
Official Name
Wan Mashumi, Wan Mustafa
Alternative Name
Bin Wan Mustafa
Wan Mashumi
Mustafa, Wan Mashumi Wan
Main Affiliation
Scopus Author ID
57223336737
Researcher ID
DHJ-9274-2022

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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 Mansor
    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
    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