Make it to work (and back home) safely: the effect of psychological work stressors on employee behaviour while commuting by car

Turgeman-Lupo, Keren; Biron, Michal

doi:10.1080/1359432x.2016.1228628

Cited by 23 publications

(23 citation statements)

References 73 publications

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“…Elfering et al (2012, 2013) have suggested a cognitively based mechanism for commuting spillover, showing that workload and time pressure relate to impaired commuting safety via workplace cognitive failures (cognitive errors extending from failures of attention, memory, and motor function on routine tasks; Wallace & Chen, 2005). In contrast, Turgeman‐Lupo and Biron (2017) have posited a normative‐based explanation for commuting spillover, showing that higher abusive supervision and work–family conflict influence unsafe commuting by facilitating the development of permissive commuting safety norms.…”

Section: Between‐person Commuting Spillovermentioning

confidence: 99%

“…The inclusion of a single mediator in each of these studies precludes a relative comparison of different mechanisms that may underlie work demand–unsafe commuting links. Moreover, because unsafe commuting has been operationalized differently across studies (e.g., accidents and near accidents vs. unsafe commuting behaviors; Elfering et al, 2013; Turgeman‐Lupo & Biron, 2017), it is possible that different mechanisms may be more or less relevant to predicting specific manifestations of unsafe commuting. Longitudinal studies incorporating varied indicators of unsafe commuting and corresponding competing mediators would be particularly helpful to unraveling this process.…”

Section: Between‐person Commuting Spillovermentioning

confidence: 99%

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Commuting spillover: A systematic review and agenda for research

Calderwood

Mitropoulos

2020

J Organ Behavior

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Summary Commuting is a central activity of life that cuts across industries and occupations. Because a large majority of employees commute to work, organizational scholars have long been interested in the relevance of commuting to organizational life. This interest forms the foundation of a research tradition to understand commuting spillover, which reflects interrelationships between commuting and work experiences. Unfortunately, commuting spillover investigations have historically been fractured across publications in the management, psychology, transportation, and ergonomics communities, impeding understanding of the nature and implications of commuting spillover for organizational stakeholders. We conduct a systematic review to identify what is known and unknown about commuting spillover, attending to both between‐ and within‐person approaches to studying this process. This effort yields five major conclusions emerging from the commuting spillover literature, as well as the identification of two frequently investigated topics that have yielded few clear findings within this research base. This knowledge synthesis is used to develop an agenda for the next wave of commuting spillover research that aims to extend this research base while resolving inconsistencies observed in past research. We conclude with calls for methodological advancement and theory development on the commuting spillover topic.

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Section: Between‐person Commuting Spillovermentioning

confidence: 99%

Section: Between‐person Commuting Spillovermentioning

confidence: 99%

Commuting spillover: A systematic review and agenda for research

Calderwood

Mitropoulos

2020

J Organ Behavior

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“…Sleep disturbances can, in turn, endanger the safety of workers [39]. For example, both work-family con ict and inadequate supervision affect workers' safety when they drive to work [9], as do the pressures associated with work deadlines [40] and to get to the workplace on time, especially when rewards or punishments are involved. Likewise, low social status or income, shift work-, and work-related stress are often associated with sleep problems [21] [41].…”

Section: Discussionmentioning

confidence: 99%

Sleep problems are related to Commuting Accidents rather than to Workplace Accidents

Vargas-Garrido

Dı́az

Andrades

2021

Preprint

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Background: This study aimed to verify the relationships between sleep problems and both commuting and workplace accidents in workers of both sexes.Methods: The study was carried out with a sample of workers (n = 2,993; 50.2% female) from the Chilean Quality of Life Survey (ENCAVI) 2015-2016, while the rates of both workplace and commuting accidents were extracted from the statistics of the Superintendence of Social Security (SUSESO 2015; 180,036 and 52,629 lost-time accidents, respectively).Results: Chilean workers sleep less than the rest of the people in the country (MW = 7.14 vs. MO = 7.33; t (6789) = -5.19; p < .001), while the Chilean people as a whole sleep less compared to those of other countries (7.24 hours per day). Likewise, it was found that sleep problems are more strongly related to commuting than to workplace accidents. In this vein, sleep quantity can explain 24% of the variance in commuting accidents’ rates (Stepwise Method; R2 = .30, F (1.14) = 5.49, p < .05; β = -.55, p < .05), by using aggregated data with all types of commuting roles (driver of a vehicle, a passenger of public or private transport, or as a pedestrian). Conclusions: Our findings show that sleep quantity has a more robust relationship with commuting than workplace accidents, a neglected issue so far. Future prevention programs should emphasize sleep hygiene and focus on commuting to and from work.

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“…Remaining with the impact of employment upon driving, perhaps the most enlightening findings in the current study are those connected with job characteristics and appraisals. Whilst there is a dearth of research focusing on the general public and the impact of work environment on driving, issues with work-life balance, as well as a negative work environment have been implicated in unsafe commuting behaviour [25]. The present study found that just as with professional drivers, long work hours and high noise levels, as well as lower levels of choice and respect in the workplace and high levels of pressure (typically indicative of the aforementioned blue-collar type employment) were associated with RTCs.…”

Section: Discussionmentioning

confidence: 99%

“…However, given that the average worker spends the vast majority of their working life in the work environment, with many commuting to and from work by driving, it is reasonable to suggest that job characteristics may contribute to how an individual may drive and, by extension, to RTC causality. Recently, research addressed the issue of work-life balance and psychological work stressors on commuting behaviour, finding that over two time-points, work-family conflict and negative job characteristics (termed 'abusive supervision') were both positively related to unsafe driving during commuting [25]. Such insights afford fruitful lines of further inquiry, although the study authors acknowledge the necessity to examine the psychometric properties of the scale used to measure commuting norms in future research.…”

Section: Introductionmentioning

confidence: 96%

Associations between Job Characteristics, Mental Health and Driving: A Secondary Analysis

Bowen

Smith

2019

JESBS

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Background: Human factors are widely acknowledged as major contributors in road traffic collision (RTC) involvement. The aim of the present study, using secondary data analysis was to analyse associations between job characteristics, mental health, personality, fatigue and driving behaviour and their potential connection to RTCs, as well as their potential links with some of the risk factors as outcome variables (driving behaviour, driver fatigue and risk-taking). Methodology: This study used a cross-sectional approach, with 2856 clients of an insurance company completing an online survey in which they were asked about their driving and a range of other factors, such as personality, job characteristics and mental health. Results: The results revealed that whereas the extant literature points to personality traits as directly causal of RTCs, they actually impact driving behaviour and risk-taking behaviour. In addition, an association was found between higher salary and risk-taking (the latter predictive of RTC involvement). Using the Demands, Resources and Individual Effects model (DRIVE) it was possible to examine associations between particular job characteristics and driving behaviour, driver fatigue, and risk-taking. Associations between poor levels of driving behaviour and high levels of decision making, perceived job stress, long working hours and issues of work-life balance were uncovered. Moreover, a combined effects approach revealed a 16.73-fold increase in driver fatigue for younger, single drivers who often drive in heavy traffic, on the motorway and in adverse weather, with stressful, noisy, pressurised jobs, lower in levels of respect (typical of the blue-collar worker). Conclusion: Based on the current findings, further longitudinal research is recommended to assess causality.

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Make it to work (and back home) safely: the effect of psychological work stressors on employee behaviour while commuting by car

Cited by 23 publications

References 73 publications

Commuting spillover: A systematic review and agenda for research

Commuting spillover: A systematic review and agenda for research

Sleep problems are related to Commuting Accidents rather than to Workplace Accidents

Associations between Job Characteristics, Mental Health and Driving: A Secondary Analysis

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