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Empirical analysis reveals that human-robot collaboration affects migrant workers’ well-being, suggesting complex outcomes.
Migrant workers are a unique group under China’s urban–rural dual system, and improving their well-being is an intrinsic requirement for achieving common prosperity. In recent years, human–robot collaboration has come forth as a novel work paradigm. Comprehending the influence of human–robot collaboration on the well-being of migrant workers is a vital yet insufficiently investigated matter. With the conservation of resources theory as an analytical framework, this study empirically analyzes data from a two-stage survey of 382 migrant workers in Chinese manufacturing enterprises. The findings suggest that perceived human–robot collaboration can positively influence migrant workers’ well-being by facilitating perceived decent work, while also negatively affecting their well-being by increasing job replacement anxiety. Perceived organizational support plays a positive moderating role in two distinct aspects: on the one hand, the relationship between perceived human–robot collaboration and perceived decent work; on the other hand, the mediating effect through which perceived decent work connects perceived human–robot collaboration with the well-being of migrant workers. Conversely, perceived organizational support exerts a negative moderating effect on the association between perceived human–robot collaboration and job replacement anxiety, while job replacement anxiety functions as a mediator in the relationship linking perceived human–robot collaboration to migrant workers’ well-being. This study helps understand how human–robot collaboration in manufacturing enterprises affects the well-being of migrant workers.
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Wang et al. (2026) studied this question.
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