Abstract
This study examines how job demands, resources, and occupational commitment influence job performance among project-based workers in China's construction engineering supervision industry. Drawing on the Job Demands-Resources (JD-R) model, it explores the mediating role of occupational commitment in the relationship between job characteristics and performance. A total of 744 valid responses were collected through an online survey platform and analyzed using structural equation modeling. The results show that obstructive demands, such as job alienation and underemployment, negatively affect job performance by diminishing occupational commitment. Conversely, challenging demands, like perceived algorithmic control, enhance both commitment and performance. Furthermore, job resources such as social support, information system quality, and job autonomy have a positive influence on job performance. These findings emphasize the importance of managing job demands and optimizing resources to improve employee performance and commitment in project-based work environments. The research contributes to the JD-R model by extending its application to project-based workers and provides practical implications for human resource management in dynamic industries.
Published Version
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