Abstract：Currently, there is still disagreement about the effects of algorithmic control on gig workers. In view of this, based on social information processing theory, this study explores the mechanism of algorithmic control influence on the employee's online working hours through job involvement and negative emotions, and clarifies the moderating role of job gamification in the above relationship. The results show that algorithm control has a significant negative effect on the online working hours of gig workers. Algorithm control can not only suppress online working hours by inducing negative emotions of gig workers, but also promote online working hours by enhancing the self-efficacy of gig workers. Job gamification positively and negatively moderates the influence of algorithm control on job involvement and negative emotions respectively. Furthermore, the moderating effects of job gamification on the mediating pathways of job involvement and negative emotions were also verified. The above findings expand the understanding of the effects of algorithmic control, and provide theoretical support for the platform to optimize the algorithmic system and effectively manage gig workers.
刘善仕, 玉胜贤, 刘嫦娥. 促进还是抑制？平台算法控制对零工工作者在线工作时长的双刃剑效应研究[J]. 商业经济与管理, 2023, 43(5): 17-28.
LIU Shanshi, YU Shengxian, LIU Chang'e. Promotion or Suppression? Double-Edged Sword Effect of Algorithm Control on Online Working Hours of Gig Workers. Journal of Business Economics, 2023, 43(5): 17-28.
2023, Vol. 43 
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