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Article type: Research Article
Authors: Shin, Dong Seoka; 1 | Jeong, Byung Yongb; *
Affiliations: [a] Korea National Industrial Convergence Center, Korea Institute of Industrial Technology, Ansan, Republic of Korea | [b] Department of Industrial and Management Engineering, Hansung University, Seoul, Republic of Korea
Correspondence: [*] Address for correspondence: Byung Yong Jeong, Ph.D., Professor, Department of Industrial and Management Engineering, Hansung University, 116 Samseongyoro-16Gil, Seongbuk-Gu, Seoul, 02876, Republic of Korea. E-mail [email protected] ORCID http://orcid.org/0000-0002-4914-6700.
Note: [1] ORCID: https://orcid.org/0000-0001-6837-1324
Abstract: BACKGROUND:Truck driving is one of the occupations with high injury rates. OBJECTIVE:This study investigates the relationships between age, work experience, workdays, monthly income, perceived job risk, satisfaction of working conditions, safety awareness, and job satisfaction of truck drivers. Also, this study analyzes the effects of satisfaction of working conditions and safety awareness on the job satisfaction of truck drivers. METHODS:This study interviewed 278 truck drivers and surveyed age, work experience, workdays, monthly income, perceived job risk, satisfaction of working conditions, safety awareness, and job satisfaction. A regression analysis was performed to determine leading factors affecting safety and satisfaction and the relationships. RESULTS:The results showed that the number of workdays was related to monthly income, perceived job risk, and job satisfaction. The monthly income of truck drivers was increased according to workdays and age. Perceived job risk increased with number of days worked. Safety awareness decreased with the monthly income, and job satisfaction decreased with perceived job risk level, workdays, and work experience. Finally, job satisfaction was directly affected by satisfaction with working conditions and indirectly affected by safety awareness. CONCLUSIONS:The results suggest that an increase in satisfaction of working conditions can enhance safety awareness and job satisfaction.
Keywords: Driver safety, truck industry, mediated model, driver’s income, regression analysis
DOI: 10.3233/WOR-205109
Journal: Work, vol. 75, no. 1, pp. 129-134, 2023
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