算法控制与创新行为关系研究——基于资质过剩感的中介作用

Research on the Relationship between Algorithmic Control and Innovation Behaviors——the Mediating Effect Based on Perceived Overqualification

随着零工经济的发展,以在线劳动平台为依托的算法控制越来越普遍,方便零工工作者完成给定的任务就能获得报酬。研究通过对233份样本数据进行分析,从组织行为学视角实证考察了算法控制影响零工工作者创新行为的作用机制及边界条件。结果表明,算法控制负向影响零工工作者的创新行为;资质过剩感在算法控制与创新行为关系中起中介作用;组织支持感在资质过剩感和创新行为间起调节作用。结论启示企业在管理实践活动中应优化管理方式,注重员工组织支持感及数字能力的提升,从而激发员工创新行为。

With the growth of the gig economy,algorithmic control based on online labor platforms is becoming more common,making it easier for gig workers to get paid for completing given tasks.This study empirically examines the mechanism and boundary conditions of algorithm control on innovation behaviors of gig workers from the perspective of organizational behavior through the analysis of 233 sample data.The results show that the algorithm control negatively affects the innovation behaviors of gig workers;the perceived overqualification plays a mediating role in the relationship between algorithm control and innovation behavior;the perceived organizational support plays a moderating role between the perceived overqualification and the innovation behaviors.It is suggested that enterprises should optimize the management mode in management practice,and pay attention to the improvement of employees′sense of organizational support and digital ability to stimulate employees′innovation behaviors.