Exploring the determinants of bus drivers job satisfaction: Evidence from South Korea

Kwon, Yeongmin; Byun, Jihye; Park, Sunghee

doi:10.1016/j.rtbm.2020.100436

Cited by 15 publications

(12 citation statements)

References 25 publications

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“…Supporting the previous research regarding satisfaction and productivity [13,69], it was found that higher job satisfaction among ride-sourcing drivers influences an increase in the productivity of the trip, represented by higher daily trip frequency. The results also showed that a high-income driver tends to have more trips per day, given the ridesourcing business model that gave various bonuses when a trip frequency target was achieved.…”

Section: Discussionsupporting

confidence: 77%

“…Halkos and Bousinakis [12] found that increased stress leads to reduced productivity and increased satisfaction leads 2 of 17 to increased productivity for workers of private and public sector employers. In the transport sector, a study by Kwon et al [13] in Korea indicated that job satisfaction is the key determinant in ensuring the safety of the trip. They found that bus drivers' job satisfaction is influenced by working conditions, including the driving experience, work pressure related to road conditions, and supporting infrastructure.…”

Section: Introductionmentioning

confidence: 99%

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Does Job Satisfaction Influence the Productivity of Ride-Sourcing Drivers? A Hierarchical Structural Equation Modelling Approach for the Case of Bandung City Ride-Sourcing Drivers

2021

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With various benefits being offered by ride-sourcing companies, Indonesian cities have experienced a substantial increase in the number of ride-sourcing drivers in the past five years. However, with tense working conditions, there is a question as to how drivers perceive their work satisfaction and how this satisfaction influences their productivity. This study aims to investigate the factors that influence ride-sourcing drivers’ job satisfaction and productivity. For this purpose, a questionnaire was distributed to ride-sourcing drivers in 2019 and analysed using hierarchical structural equation modelling (SEM). Wage competitiveness and financial safety are found to be appreciated the most by ride-sourcing drivers, while undertaking multiple jobs tends to be associated with low satisfaction. Satisfaction is also found to positively influence trip productivity. Drivers who perceive themselves as being exposed to health and safety risks tend to have lower satisfaction.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Does Job Satisfaction Influence the Productivity of Ride-Sourcing Drivers? A Hierarchical Structural Equation Modelling Approach for the Case of Bandung City Ride-Sourcing Drivers

2021

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“…Kwona et al. (2020) listed nine elements impacting the job satisfaction of bus drivers, such as driver categories, working experience, work hours, income, and work pressure. Regarding the maritime field, one of the key factors affecting seafarers’ desire to remain at sea can be summarised as the extent to which they are satisfied with life at sea (BIMCO/ISF, 2015).…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

Exploring into contributing factors to young seafarer turnover: empirical evidence from China

Bao

Zheng

et al. 2021

J. Navigation

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Various studies suggest that the maritime industry will continue to face the challenge of seafarer shortages. Young seafarer turnover has become a serious issue that cannot be underestimated. This paper aims to identify the root causes of young seafarer attrition in China and explore relevant solutions. It collects information via semi-structured interviews and questionnaires. Independent sample t-test, one-way ANOVA and least-significant difference are utilised for the variance analysis. The findings of the study show that occupational recognition and family responsibility are the two major factors contributing to young seafarers’ outflow. Chinese seafarers’ health status is another important factor that has received little attention. In addition, young seafarers of 31–35 years old have the most possibility of turnover, due to a number of reasons discussed in this paper. Age 40 or thereabouts is viewed as the watershed moment in a seafarer's career, so efforts should be made to help young seafarers pass through the hard period in their early thirties. This paper suggests that a clear career plan could be a potential solution to retain this backbone group as prospective senior officers.

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“…The state of application of the ordered probit or logit model is determined according to an assumption of the probability distribution of an error term (ε i ). The ordered probit model assumes that an error term has a normal distribution, whereas the logit model assumes that an error term has a logistic distribution [33]. It was previously reported that the analysis results derived from both models did not differ significantly despite the different assumptions of these models regarding the error term distribution [34,35].…”

Section: Ordered Probit Modelmentioning

confidence: 99%

Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

Kwon

Son

et al. 2021

Sustainability

Self Cite

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Mobility as a service (MaaS) integrates various transportation modalities and connects these modalities to enable users to travel from departure points to destination points. The objectives of this study were to analyze the factors influencing the intention to use MaaS and determine a direction for the implementation of this service. Hence, this study utilized an ordered probit model and marginal effect analysis. Specifically, a survey was conducted based on citizens living in Gyeonggi-do, South Korea, to prepare logical MaaS operation measures customized in this province. Subsequently, variables related to MaaS were classified, and statistical analysis was performed based on these variables. The need for integrated transportation service, intention to use shared mobility, gender, household income, and region are found to have significant effects. Moreover, demographic groups with high levels of intention to use MaaS were identified. Finally, the intention to use MaaS was found to be mainly affected by whether public transportation was the primary means of transportation or whether the subjects spent a comparatively long time commuting. It is expected that these findings will serve as the basis for MaaS implementation in the future and will also be used as fundamental data for transportation service planning.

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Exploring the determinants of bus drivers job satisfaction: Evidence from South Korea

Cited by 15 publications

References 25 publications

Does Job Satisfaction Influence the Productivity of Ride-Sourcing Drivers? A Hierarchical Structural Equation Modelling Approach for the Case of Bandung City Ride-Sourcing Drivers

Does Job Satisfaction Influence the Productivity of Ride-Sourcing Drivers? A Hierarchical Structural Equation Modelling Approach for the Case of Bandung City Ride-Sourcing Drivers

Exploring into contributing factors to young seafarer turnover: empirical evidence from China

Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

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