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Concerns, Career Decisions, and Role Changes: A Qualitative Study of Perceptions of Autonomous Vehicles in the Trucking Industry

Abstract The increasing adoption of automation will likely replace the tasks performed in many jobs, resulting in new challenges for workers. Yet, little is known regarding how workers perceive automation, including how it may influence their job attitudes and turnover intentions. Automated vehicles...

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Published in:Work, aging and retirement aging and retirement, 2023-09, Vol.9 (4), p.399-406
Main Authors: Van Fossen, Jenna A, Schuster, Amy M, Sperry, Danielle, Cotten, Shelia R, Chang, Chu-Hsiang
Format: Article
Language:English
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Summary:Abstract The increasing adoption of automation will likely replace the tasks performed in many jobs, resulting in new challenges for workers. Yet, little is known regarding how workers perceive automation, including how it may influence their job attitudes and turnover intentions. Automated vehicles (AVs) are one example of new technology poised to alter the job of truck driving, which is overwhelmingly populated by older workers. In this study, we examined truck drivers’, supervisors’, and managers’ attitudes and concerns about AV adoption and its effects on driving jobs to help the transportation industry prepare for automation with minimal workforce disruption. We drew from theorizing on self-interest in economics and lifespan coping theories to contextualize workers’ reactions to automation. We conducted focus groups and interviews with truck drivers (N = 18), supervisors of drivers (N = 8), and upper-level managers of trucking companies (N = 25). Two themes emerged from the thematic analysis: the unknown, and proficiency. AVs may be viewed as threatening by drivers, causing anxiety due to widespread uncertainty and the fear of job loss and loss of control. At the same time, there will be a greater need for drivers to be adaptable for the era of AVs. AVs are also likely to result in other changes to the role of driving, which may have implications for driver recruitment and selection. We interpret our findings together with lifespan theories of control and coping and provide recommendations for organizations to effectively prepare for automation in the trucking industry.
ISSN:2054-4650
2054-4650
DOI:10.1093/workar/waac037