Measuring job quality: A study with bus drivers

Jones, Wendy; Haslam, Roger; Haslam, Colin

doi:10.1016/j.apergo.2014.05.015

Cited by 18 publications

(10 citation statements)

References 36 publications

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“…The main reason that encouraged this research is the growing need to develop empirical studies that contribute to generating accurate knowledge about a problem that transcends the individual, social, and organizational spheres, as addressed in other studies [20] , [48] . Although Colombia, as in other Latin American countries, has shown a substantial progress in terms of training and road safety education, there still seems to be a lot that should be addressed in terms of recognition, intervention, and control of risk and protective factors that help explain the occurrence of accidents and traffic violations for the prevention and management of fatigue and promotion of occupational health [14] , [49] .…”

Section: Discussionmentioning

confidence: 99%

Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers

Useche

Gómez

Cendales

et al. 2018

Safety and Health at Work

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BackgroundWorking conditions and psychosocial work factors have acquired an important role explaining the well-being and performance of professional drivers, including those working in the field of public transport. This study aimed to examine the association between job strain and the operational performance of public transport drivers and to compare the expositions with psychosocial risk at work of three different types of transport workers: taxi drivers, city bus drivers, and interurban bus drivers.MethodA sample of 780 professional drivers was drawn from three transport companies in Bogota (Colombia). The participants answered the Job Content Questionnaire and a set of sociodemographic and driving performance questions, including age, professional driving experience, work schedules, and accidents and penalties suffered in the last 2 years.ResultsAnalyses showed significant associations between measures of socio-labor variables and key performance indicators such road traffic accidents and penalties. Furthermore, multiple linear regression analysis contributed to explain significantly suffered accidents from key variables of the Job Demand-Control model, essentially from job strain. In addition, throughout post-hoc analyses, significant differences were found in terms of perceived social support, job strain, and job insecurity.ConclusionWork stress is an issue that compromises the safety of professional drivers. This research provides evidence supporting a significant effect of job strain on the professional driver's performance. Moreover, the statistically significant differences between taxi drivers, city bus drivers, and interurban bus drivers in their expositions to work-related stress suggest the need for tailored occupational safety interventions on each occupational group.

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Section: Discussionmentioning

confidence: 99%

Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers

Useche

Gómez

Cendales

et al. 2018

Safety and Health at Work

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“…As noted at the beginning of this manuscript, the typically adverse environmental and task conditions in which the work of public transport drivers takes place is characterized by harmful conditions that may affect their health and well-being [ 6 , 8 , 13 ]. First is their constant exposure to environmental overstimulation (e.g., noise, smog, variable light conditions) [ 5 ] and difficult ergonomic conditions [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers

Montoro

Useche

Alonso

et al. 2018

IJERPH

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Public transport is an effective and sustainable alternative to private vehicle usage, also helping to reduce the environmental impact of driving. However, the work environment of public transport operators is full of adverse conditions, which, together with their high mileage, may increase the occurrence of negative safety outcomes such as traffic accidents, often preceded by risky road behaviors enhanced by stress, anger, and difficult operating conditions. The aims of this study were, first, to determine the association between work-related psychosocial factors and individual characteristics of public transport drivers and the rate of traffic sanctions they are subject to; and second, to assess the mediation of driving anger in this relationship. A sample of professional drivers (57.4% city bus, 17.6% taxi, and 25% inter-urban bus male operators) was used for this cross-sectional study, responding to a five-section survey including demographic data and driving-related factors, psychosocial work factors including job stress, driving stress, risk predisposition, and driving anger. The results of this study showed significant associations between work-related factors: measures of stress and self-reported rates of traffic fines. Second, it was found that driving anger mediates the associations between driving stress, risk predisposition, and traffic sanctions; and partially mediates the association between driving experience, hourly intensity, and job stress. This study supports the idea that traffic penalties reported by public transport rates are preceded by work-related, personality, and other individual factors that, when combined with driving anger, enhance the occurrence of road misbehavior that may affect overall road safety.

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“…If it is accepted that, despite these challenges, there is a benefit in measuring the factors which influence job quality, additional difficulties arise when attempting to quantify these factors (see, for example, Jones et al 2014a). Many assessments such as the European Working Conditions Survey (EWCS), the British Household Panel Survey (BHPS) and the International Social Survey Programme (ISSP) use subjective measures, gathering data through the use of questionnaires and interviews.…”

Section: Measuring Job Qualitymentioning

confidence: 99%

“…It has been explored from philosophical standpoints (Schumacher 1979;Sennett 2008) and health based perspectives (Waddell and Burton 2006); it is of interest to employees and their trade unions (Johansson and Abrahamsson 2009) as well as to their employers (Coats and Lekhi 2008); and it has been considered within particular industries (Berthelsen et al 2010;Jones et al 2014a), within a national context (Mussman 2009;Michenthaler 2006) and internationally (ILO 2006;WHO 2010). There is however no clear agreement of what a 'good' job is, nor consensus on how the term should be defined or used.…”

Section: Introductionmentioning

confidence: 99%

What is a ‘good’ job? Modelling job quality for blue collar workers

Jones

Haslam

2016

Ergonomics

Self Cite

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This paper proposes a model of job quality, developed from interviews with blue collar workers: bus drivers, manufacturing operatives and cleaners (n=80). The model distinguishes between core features, important for almost all workers, and 'job fit' features, important to some but not others, or where individuals might have different preferences. Core job features found important for almost all interviewees included job security, personal safety, and having enough pay to meet their needs. 'Job fit' features included autonomy and the opportunity to form close relationships. These showed more variation between participants; priorities were influenced by family commitments, stage of life and personal preference. The resulting theoretical perspective indicates the features necessary for a job to be considered 'good' by the person doing it, whilst not adversely affecting their health. The model should have utility as a basis for measuring and improving job quality and the laudable goal of creating 'good jobs'. KeywordsJob quality; good jobs; good work; health; bus drivers Practitioner summaryGood work can contribute positively to health and wellbeing, but there is a lack of agreement regarding the concept of a 'good' job. A model of job quality has been constructed based on semi-structured worker interviews (n=80). The model emphasises the need to take into account variation between individuals in their preferred work characteristics.

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Measuring job quality: A study with bus drivers

Cited by 18 publications

References 36 publications

Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers

Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers

Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers

What is a ‘good’ job? Modelling job quality for blue collar workers

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