Turnover intentions among gig workers: A job demands and resources perspective

The high turnover of gig workers has become a pressing challenge for digital labor platforms. This study aims to explore the impact of job demands and resources on gig workers' turnover intention. It also examines the mediating roles of job burnout and work motivation. Survey data were collected from 469 gig workers, and structural equation modeling (SEM) was used to test the theoretical model. The results show that job demands have a positive impact on turnover intention, while job resources have a negative impact. Both job burnout and work motivation play significant mediating roles in the relationship between job demands and resources and turnover intention. Furthermore, this study contributes to the existing literature by applying the dual-process mechanism of the Job Demands-Resources (JD-R) model and reveals the dual mediating mechanisms underlying gig workers' turnover intention. Given that the sample is predominantly male and geographically limited to three Chinese cities, the findings of this research should be interpreted with caution when generalizing to the broader global gig economy.