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Japan suffers from a serious labour shortage, particularly in the carrier industry. Analyses the deviation between the demand and supply of truck drivers through a forecasting model based on multiple regression analysis. Proposes the following solutions: establish co‐operative terminals on a basis of regional economic blocks; design optimal sites of terminal depots; and promote both modal linkage and modal shift to arrange infrastructure.

Recent supply chain disruptions have highlighted the global shortage of truck drivers. Because it is a quintessential “masculine” profession, the proportion of women truck drivers is small, although efforts are underway to recruit and retain women. This research offers a comprehensive and theoretically-driven empirical analysis of women in the US trucking industry.

The research utilizes a detailed longitudinal database of 20 million driver inspections from 2010 to 2019. It is paired with US Social Security Administration data to infer the gender of the driver for each inspection. Descriptive evidence is provided, and a logit model is used to test the hypotheses.

The research finds that female truck drivers make up 3.2% of the inspection sample, but their representation has grown by 23.1% over the last decade. Women are vastly overrepresented in the jobs that are the easiest to get and underrepresented in jobs that offer better pay, more regular hours and more time at home. However, the proportion of women in more desirable truck driving jobs has grown from 2010 to 2019, offering positive news for the industry.

The research offers a more credible and realistic statistic for the proportion of women in the industry, contradicting previous industry figures. The research also highlights policy implications for industry stakeholders.

The truck driving industry is vital for a nation's economic sustainability. Truck driving jobs offer better wages and more opportunity than many non-professional female-dominant jobs. The research emphasizes the path to move into jobs that are better suited for women with domestic or family responsibilities.

The authors document hitherto unknown facts about women in the US trucking industry. Using theoretically driven research in organizational science, this study highlights the interplay of supply-side and demand-side factors that help to explain a nuanced perspective of the workforce composition and discusses potential policies to increase the number of female drivers.

The purpose of this paper is to solicit perspectives from stakeholders concerning health, environmental and operational challenges among Commercial motor vehicle (CMV) drivers in Canada (truck and bus drivers).

Two focus groups and one interview were conducted with key industry, government and advocacy groups representing or working with CMV drivers. Perspectives pertaining to working conditions, health issues, driver recruitment and retention, and other key issues in the CMV sector were obtained.

The findings show that undesirable working conditions are primary issues that impact recruitment and retention, as well as health and wellness (H&W), and productivity of drivers in both the truck and bus sectors. Compared to our US counterparts, finding parking areas and rest stops were seen as a major issue for Canadian truckers (particularly in the north). Unfortunately, there is limited or out-dated information on drivers and companies in Canada. Stakeholders stated the need for more information from both carriers/companies and from drivers themselves (particularly long-haul drivers).

This study identifies gaps and key priority research areas pertaining to the H&W of the CMV sector in Canada that require further investigation.

CMV drivers are considered a vulnerable sector of the population. While drivers themselves have reported on undesirable work conditions leading to poor health, prior studies have not assessed the awareness or perspective of stakeholders involved in the CMV sector. This is the first study to capture stakeholder perspectives of the working conditions and health outcomes of CMV drivers.

Freight and logistics are central to everyday life. These sectors depend on a variety of workers, and the types of work have changed rapidly with shifts towards e-commerce and changes to urban logistics. Yet a particular form of masculinity dominates imaginaries of the sector, especially freight transport. Such imaginaries rest on ideas of freight drivers requiring (physical) strength, toughness, flexibility, mobility and driving competencies, as well as being unencumbered by caring responsibilities. In the UK, and elsewhere, the freight sector, and particularly driving-related freight jobs, are heavily reliant on male workers. The freight driver shortage crisis in the UK has been referred to as a ‘ticking timebomb’, emerging from a reliance on white male workers, the majority of whom are over the age of 50. A ‘diversifying’ agenda has been the primary response to this crisis, which has largely focussed on increasing the number of female drivers. At the same time, however, little has been done to address issues associated with pay and conditions for freight workers. In this chapter, the authors examine gendered freight work across three themes: changing mobilities of work, ‘flexibilisation’ of freight working practice and automation of freight vehicles.

The purpose of this paper is to investigate and contribute to the understanding of the critical issue of “driver turnover” in the USA long-haul trucking environment which is becoming a malaise in the transportation sector not only in the USA but also worldwide. Most importantly, it accomplishes this through an exploration of the perceptions of the “drivers” themselves regarding the external customer-base in the trucking industry. This, to the best knowledge of the authors, has not yet been done and so becomes the missing angle in focus on driver turnover research.

This exploratory study employs a qualitative research methodology via in-depth interviews of a select sample of drivers in a field setting followed by content analysis of the responses. This methodology, by and large, is the most suitable for this type of exploration.

A content analysis of the perceptions of drivers reveals several important reasons (or causes) for driver turnover. This paper elaborates on those and offers customer-centric solutions to alleviate the plight of the driver and improve overall performance in the trucking sector.

Needless to say, this exploratory research should be replicated in several other locations within the USA, other settings (e.g. trucking in extreme conditions), and other countries in order to enhance the external validity of the findings and recommendations.

All implications of this research are practical as they have direct managerial significance.

The value of this research lies in the fact that, to the best knowledge of the authors, this is the first study that explores the perceptions of long-haul drivers regarding the external customer-base of the trucking industry. The findings have direct implications for management in the trucking sector.

This study aims to explore the challenges of truck-sharing and effective ways of dealing with those in achieving supply chain collaboration and collaboration in transportation management (e.g. transport collaboration) for transport capacity expansion, and reducing carbon emission and traffic congestion for integrating environmental and social sustainability issues. This paper also reveals insights into successful shared-transportation and a reduction in empty trips.

This exploratory qualitative study was conducted by means of interviewing road carriers from the container transportation industry.

In a truck-sharing initiative, technical issues (e.g. carrying capacity) arise, some of which involve the container truck and some involving constraints that cannot be controlled, such as driving restrictions, seaport operating hours, and the presence of the large number of container categories pertaining to the industry. Therefore, a significant amount of “structural empty running” may always prevail. It should also be noted that some, seemingly vital, constraints can actually be changed, treated, or modified for better truck-sharing outcomes, such as building a foundation of trust and establishing coordination among road carriers.

A probable solution to the problem of increasing hinterland transport capacity is to make appropriate use of the huge number of idle truck slots that exist; this could be achieved by encouraging the acceptance of the challenges of truck-sharing realistically and suggesting an approach to handling them.

To broaden its appeal, truck-sharing initiatives must be able to overcome challenges by combining theoretical insight with an understanding of the practical aspects of such an endeavor. This original research fosters knowledge that is unique and which also has real-life applications in maritime logistics studies and supply chain literature for both port authorities and container road carriers.

Chronic driver turnover can adversely influence a trucking firm's competitiveness through disrupted delivery services, equipment down time and excessive recruiting expenses. Thus, a key to the survival of the trucking firm rests with its ability to recruit and retain qualified drivers who are less likely to cause turnover. In an effort to develop the ways to recruit and retain those drivers, we propose data mining techniques. Based on an empirical study of trucking firms in the USA, this paper not only develops a viable driver recruitment and retention strategy, but it also demonstrates the usefulness of the proposed data mining techniques.

A number of studies have identified a relationship between the positive psychological capital (PsyCap) of employees and desirable outcomes. Given current and projected shortages of truck drivers that could become the “Achilles heel” of the global supply chain, the purpose of this paper is to test whether and how drivers’ attitudes and PsyCap relates to their intentions to quit.

Using survey data from truckload drivers (n=251) from two major transportation firms, correlation, regression, and path analysis were conducted to assess the relationship between job satisfaction, organizational commitment, PsyCap, and intentions to quit.

Results of this study indicate strong positive relationships between PsyCap and job satisfaction and organizational commitment and a strong negative correlation with intentions to quit. Structural equation modeling suggests that job satisfaction and organizational commitment mediate the relationship between PsyCap and turnover intentions.

Managerial implications for recognizing, understanding, and developing PsyCap in the transportation industry are derived from this study. Specific training guidelines are provided.

The major contribution of this paper is that it provides, for the first time, empirical evidence that PsyCap can be utilized to improve retention rates for truckload drivers.

Truck drivers keep supply chains moving, but driver shortages and high turnover levels plague the industry. The purpose of this research is to examine the three dimensions of Maslach's job burnout model: exhaustion, cynicism and professional inefficacy, as it relates to role stressors and turnover intention. Logistics boundary spanners such as truck drivers appear to be especially susceptible to job burnout. Role theory and organizational support theory were used to develop hypotheses.

Individual level survey data were collected from 190 truck driver respondents (not owner operators) at two large truck stops. Data were analyzed using structural equation modeling.

Findings suggest that the relationship between role stressors and the dimensions of job burnout are not all the same. Role conflict significantly impacts exhaustion and cynicism. Role ambiguity significantly impacts cynicism and inefficacy. Results support a progression through burnout dimensions that begins with exhaustion and ends with inefficacy. Inefficacy was significantly related to intention to stay. Organizational support is a way to help drivers mitigate feelings of inefficacy.

Managers in trucking organizations can track burnout levels in their drivers using the Maslach Burnout Inventory with a specific focus on monitoring feelings of inefficacy, which may help lower turnover levels.

The findings support that the burnout dimension of inefficacy is the strongest indicator that a driver is considering leaving his current organization or the industry. This is contrary to other studies that have focused on the other two burnout dimensions.

This paper aims to investigate whether firms strategically use retirement plans to retain employees with core competencies and whether offering these retirement plans provides competitive advantages that lead to greater profitability.

The data set consists of annual financial data reported to the US Department of Transportation by long haul truckload carriers. The paper uses linear regression analysis to test the hypotheses. Descriptive statistics, univariate comparisons and robustness tests are also reported.

The findings support the assertion that offering a retirement plan is positively related to the attraction and retention of skilled workers and that firms that offer retirement plans are more profitable.

Data limitations preclude proving a definitive causal relationship. With the increasing availability of rich and timely data sets at both the firm and employee levels, future research may enhance the understanding of the role that pensions play in both labor and firm productivity.

This study provides evidence that retirement plans may serve as a strategic tool in highly competitive industries characterized by high labor turnover. This study shows that by analyzing the degree of cost stickiness in income statement line-items, it is possible to bypass the need for more granular analyses to uncover meaningful economic relationships. Finally, this study contributes to the literature examining the implications of operating decisions for financial performance (a balanced scorecard perspective), and it shows that offering pension benefits is related to stronger financial performance.