【摘要】 近年来外卖配送员及网约车司机安全事故频发,而平台算法管理对零工工作者工作不安全感及不安全行为具有“双刃剑”效应。通过系统梳理算法管理相关文献,界定了两种功能主义视角下算法管理的实践内容。基于工作要求—资源模型和自我决定理论对零工工作者不安全行为的产生机制进行了探析,指出算法推荐和算法奖励作为工作资源会缓冲其余算法管理实践维度对工作不安全感、不安全行为的影响,进一步分析了算法管理和工作不安全感分别影响零工工作者不安全行为的动机触发机制,并探究个体特质、员工类型和工作类型在影响机制中的调节效应问题。依据研究结论指出了该领域的未来研究方向。更多还原

【Abstract】 In recent years, there have been frequent safety accidents among food delivery riders and ride-hailing drivers, and platform algorithmic management has a “double-edged sword” effect on the job insecurity and unsafe behavior of gig workers. By systematically combing literatures related to algorithmic management, this study defines the practical content of algorithmic management from two functionalist perspectives. Based on the job demands-resources model and self-determination theory, this study analyzes the mechanism of gig workers’ unsafe behavior, points out that algorithmic recommending and algorithmic rewarding as work resources will buffer the impact of other algorithmic management practice dimensions on job insecurity and unsafe behavior, further analyzes the motivational triggering mechanisms of algorithmic management and job insecurity affecting gig workers’ unsafe behavior respectively, and explores the moderating effects of individual characteristics, gig workers’ types and job types in the influencing mechanism. Based on the conclusions of the study, the future research directions in this field are pointed out.更多还原