skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


This content will become publicly available on August 2, 2026

Title: Navigating Change: Exploring Gig and Taxi Drivers’ Perceptions of Autonomous Vehicles and Their Influence on Continuance Intentions
This exploratory sequential mixed-methods paper explores the relationship between gig and taxi drivers’ perceptions of autonomous vehicles (AVs) and their continuance intentions. Drawing from the Career Construction Model of Adaptation, we examined the relationship between drivers’ expectations about AV-related job changes and their intentions to stay or leave their driving role upon the integration of AVs. In Study 1, we collected qualitative data from gig and taxi drivers (N= 69) in 24 focus groups. In Study 2, we administered a survey to gig and taxi drivers (N= 496). The thematic analysis in Study 1 revealed how drivers expected the onset of AVs to positively and negatively impact their job (changes to work stress, safety, job enjoyment, etc.). These expectations influenced their decisions to remain in or leave their jobs. Multivariate regression in Study 2 showed that multiple factors identified in Study 1 were related to continuance intentions, with some being “retention factors” (related to intentions to stay) and others being “turnover factors” (related to intentions to leave). Our findings contribute to the evolving discourse on the impact of new technologies on continuance intentions by offering theoretical and practical implications in careers and vocational behavior.  more » « less
Award ID(s):
2041215
PAR ID:
10656636
Author(s) / Creator(s):
 ;  ;  ;  ;  ;  
Publisher / Repository:
Sage
Date Published:
Journal Name:
Journal of Career Assessment
ISSN:
1069-0727
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Wang, Mo (Ed.)
    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. 
    more » « less
  2. Despite global commitments and efforts, a gender‐based division of paid and unpaid work persists. To identify how psychological factors, national policies, and the broader sociocultural context contribute to this inequality, we assessed parental‐leave intentions in young adults (18–30 years old) planning to have children (N = 13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that varied in parental‐leave policies and societal gender equality. In all countries, women intended to take longer leave than men. National parental‐leave policies and women's political representation partially explained cross‐national variations in the gender gap. Gender gaps in leave intentions were paradoxically larger in countries with more gender‐egalitarian parental‐leave policies (i.e., longer leave available to both fathers and mothers). Interestingly, this cross‐national variation in the gender gap was driven by cross‐national variations in women's (rather than men's) leave intentions. Financially generous leave and gender‐egalitarian policies (linked to men's higher uptake in prior research) were not associated with leave intentions in men. Rather, men's leave intentions were related to their individual gender attitudes. Leave intentions were inversely related to career ambitions. The potential for existing policies to foster gender equality in paid and unpaid work is discussed. 
    more » « less
  3. This Research-to-Practice Full Paper investigates engineering students’ career goals and intentions regarding organizational settings, and how their goals and intentions relate to their background, learning and contextual measures. Moreover, despite vocational choice and turnover having been heavily studied in the literature, few studies have examined how students’ career goals relate to change in their organizational settings over time and how these perceptions then influence their turnover intentions. To fill in this research gap, this paper explores how organizational setting and respondent aspiration to be in that setting relate to turnover intentions. The paper is based on the nationally-representative, longitudinal Engineering Majors Survey and has a sample size of 350 respondents, characterized as employed and recently graduated (<2y) from an undergraduate engineering program. Respondents are categorized in three different alignment groups (Aligned, Fluid, Unaligned) according to their career goal achievement. Respondents who are currently employed in the type of organization, they had imagined being employed at a year earlier are called Aligned. Respondents who are actually employed in the type of organization (e.g., small versus large firm) to which they stated “Might or might not” be employed a year earlier are classified as Fluid. Finally, respondents, who work in the organizational setting, which they did not want to work in one year prior, are called Unaligned. The paper also determines respondents turnover intentions (Stay, Flexible, Go) related to organizational settings, such as small companies or medium and large companies. Alignment and turnover groups were then compared with each other in relation to background, learning, and contextual measures. Background measures are gender, underrepresented minority status, and first generation to college status. Learning measures are internship experience, and contextual measures are job satisfaction and grade point average. The findings suggest that most of these recent graduates are Aligned and want to Stay in their organizational setting. Employees in small companies are relatively less Aligned and are more likely to Go and leave the organizational setting than are employees in large companies. Respondents who have done an internship are more often Aligned and less likely want to Go and leave their organizational setting than those who have not done an internship. These results suggest that many respondents decide before graduation on an organizational setting and continue to desire the same organizational setting after being employed for some time. Future longitudinal research should compare organizational settings-based turnover intentions with turnover intentions related to specific companies, -as a complement to much of the in literature on turnover intentions mostly refers to leaving specific organizations. Keywords: career decisions, labor turnover intentions, organizational setting, engineering graduates, alignment 
    more » « less
  4. This Research-to-Practice Full Paper investigates engineering students’ career goals and intentions regarding organizational settings, and how their goals and intentions relate to their background, learning and contextual measures. Moreover, despite vocational choice and turnover having been heavily studied in the literature, few studies have examined how students’ career goals relate to change in their organizational settings over time and how these perceptions then influence their turnover intentions. To fill in this research gap, this paper explores how organizational setting and respondent aspiration to be in that setting relate to turnover intentions. The paper is based on the nationally-representative, longitudinal Engineering Majors Survey and has a sample size of 350 respondents, characterized as employed and recently graduated (<2y) from an undergraduate engineering program. Respondents are categorized in three different alignment groups (Aligned, Fluid, Unaligned) according to their career goal achievement. Respondents who are currently employed in the type of organization, they had imagined being employed at a year earlier are called Aligned. Respondents who are actually employed in the type of organization (e.g., small versus large firm) to which they stated “Might or might not” be employed a year earlier are classified as Fluid. Finally, respondents, who work in the organizational setting, which they did not want to work in one year prior, are called Unaligned. The paper also determines respondents turnover intentions (Stay, Flexible, Go) related to organizational settings, such as small companies or medium and large companies. Alignment and turnover groups were then compared with each other in relation to background, learning, and contextual measures. Background measures are gender, underrepresented minority status, and first generation to college status. Learning measures are internship experience, and contextual measures are job satisfaction and grade point average. The findings suggest that most of these recent graduates are Aligned and want to Stay in their organizational setting. Employees in small companies are relatively less Aligned and are more likely to Go and leave the organizational setting than are employees in large companies. Respondents who have done an internship are more often Aligned and less likely want to Go and leave their organizational setting than those who have not done an internship. These results suggest that many respondents decide before graduation on an organizational setting and continue to desire the same organizational setting after being employed for some time. Future longitudinal research should compare organizational settings-based turnover intentions with turnover intentions related to specific companies, -as a complement to much of the in literature on turnover intentions mostly refers to leaving specific organizations. Keywords: career decisions, labor turnover intentions, organizational setting, engineering graduates, alignment 
    more » « less
  5. In highly and fully automated vehicles (AV), drivers could divert their attention to non-driving-related activities. Drivers may also take over AVs if they do not trust the way AVs drive in specific driving scenarios. Existing models have been developed to predict drivers’ takeover performance in responding to takeover requests initiated by AVs in semi-AVs. However, few models predicted driver-initiated takeover behavior in highly and fully AVs. The present study develops an attention-based multiple-input Convolutional Neural Network (CNN) to predict drivers’ takeover intention in fully AVs. The results indicated that the developed model successfully predicted takeover intentions of drivers with a precision of 0.982 and an F1-Score of.989, which were found to be substantially higher than other machine learning algorithms. The developed CNN model could be applied in improving the driving algorithms of the AV by considering drivers’ driving styles to reduce drivers’ unnecessary takeover behaviors. 
    more » « less