Road accident risk perception among police officers
Police job is regarded as one of the riskiest profession with high likelihood to experience physical harm while on duty. Amongst the greatest safety and health hazards towards them are road accidents that may cause injuries and deaths. The purpose of this study is to investigate the differences and...
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2020
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my-uum-etd.82692024-01-29T08:22:29Z Road accident risk perception among police officers 2020 Thanesh Raj, Gobal Hassan, Zuraida School of Business Management School of Business Management HD61 Risk Management Police job is regarded as one of the riskiest profession with high likelihood to experience physical harm while on duty. Amongst the greatest safety and health hazards towards them are road accidents that may cause injuries and deaths. The purpose of this study is to investigate the differences and relationship level on road accident risk perception among police officers as dependent variable with independent variables which are demographic characteristics, driving attitudes toward safe driving and link between management commitment on vehicle safety. The research method is quantitative analysis and adopting cross-sectional survey in data gathering. Primary data generated from the questionnaire choose as a data collection which consist of 25 questions. Random sampling method used in collecting data involving police officers around Klang Valley area. SPSS version 25.0 was used for quantitative analysis and the findings shows driving attitudes toward safe driving and management commitment on vehicle safety influences road accident risk perception. 2020 Thesis https://etd.uum.edu.my/8269/ https://etd.uum.edu.my/8269/1/s824123_01.pdf text eng public https://etd.uum.edu.my/8269/2/s824123_02.pdf text eng public https://etd.uum.edu.my/8269/3/s824123_references.docx text eng public other masters Universiti Utara Malaysia |
institution |
Universiti Utara Malaysia |
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UUM ETD |
language |
eng eng eng |
advisor |
Hassan, Zuraida |
topic |
HD61 Risk Management |
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HD61 Risk Management Thanesh Raj, Gobal Road accident risk perception among police officers |
description |
Police job is regarded as one of the riskiest profession with high likelihood to experience physical harm while on duty. Amongst the greatest safety and health hazards towards them
are road accidents that may cause injuries and deaths. The purpose of this study is to investigate the differences and relationship level on road accident risk perception among
police officers as dependent variable with independent variables which are demographic characteristics, driving attitudes toward safe driving and link between management
commitment on vehicle safety. The research method is quantitative analysis and adopting cross-sectional survey in data gathering. Primary data generated from the questionnaire choose as a data collection which consist of 25 questions. Random sampling method used in collecting data involving police officers around Klang Valley area. SPSS version 25.0 was used for quantitative analysis and the findings shows driving attitudes toward safe driving and management commitment on vehicle safety influences road accident risk perception. |
format |
Thesis |
qualification_name |
other |
qualification_level |
Master's degree |
author |
Thanesh Raj, Gobal |
author_facet |
Thanesh Raj, Gobal |
author_sort |
Thanesh Raj, Gobal |
title |
Road accident risk perception among police officers |
title_short |
Road accident risk perception among police officers |
title_full |
Road accident risk perception among police officers |
title_fullStr |
Road accident risk perception among police officers |
title_full_unstemmed |
Road accident risk perception among police officers |
title_sort |
road accident risk perception among police officers |
granting_institution |
Universiti Utara Malaysia |
granting_department |
School of Business Management |
publishDate |
2020 |
url |
https://etd.uum.edu.my/8269/1/s824123_01.pdf https://etd.uum.edu.my/8269/2/s824123_02.pdf https://etd.uum.edu.my/8269/3/s824123_references.docx |
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1794023728313532416 |