Supportive interactional algorithmic monitoring systems matter! Fostering affective commitment among highly flexible but insecure digital platform workforces
研究基于中国零工工人的调查数据，发现互动公平中介了平台工作灵活性和不安全感对情感承诺的影响，而支持性的互动算法监控能缓解不安全感带来的负面效应。
Broadly using algorithmic monitoring systems, digital gig platforms offer flexible work arrangements but simultaneously expose workers to various insecurities in non-standard employment, leading to high turnover rates and lower job performance. We address this underexplored question by exploring how and when to cultivate affective commitment among highly flexible but insecure platform workforces. Drawing on fairness heuristic theory and the mutual verification of 269 two-wave time-lagged surveys and 303 cross-sectional surveys from gig workers working on different digital platforms in China, we demonstrate that interactional justice fully mediates the positive effect of platform work flexibility and the negative effect of platform work insecurity on affective commitment to the platform. Interactional algorithmic monitoring mitigates the indirect negative effect of platform work insecurity on affective commitment. We offer key ergonomic implications for designing supportive interactional algorithmic monitoring systems enabling gig workers to improve performance-related outcomes by fostering their affective commitment to the platform.