Research on the effect of platform workers' algorithmic stigma on work engagement: A double-moderated mediation model

Based on the conservation of resources theory, this study examines the relationship between algorithmic stigma and work engagement among platform workers. Hindrance stressor appraisal is proposed as a mediating variable, while job autonomy and fairness perception are introduced as moderating factors. The data were collected from a two-wave survey of 297 platform workers. The results indicated that algorithmic stigma is negatively related to work engagement, and that hindrance stressor appraisal partially mediates the relationship between algorithmic stigma and work engagement. Furthermore, job autonomy and fairness perception moderate the positive link between algorithmic stigma and hindrance stressor appraisal, and also moderate the mediating role of hindrance stressor appraisal in the relationship between algorithmic stigma and work engagement. This study not only extends occupational stigma research into the realm of algorithmic management by proposing and validating the concept of "algorithmic stigma" with technological embeddedness, but also uncovers the stress transmission mechanism through which algorithmic stigma influences work engagement from a dynamic perspective of resource gains and losses. The findings offer practical guidance for platform enterprises to mitigate the adverse effects of algorithmic stigma and enhance workers' work engagement and sustainable career development by optimizing algorithm design, increasing job autonomy, and improving procedural and distributive fairness.