Abstract：Significant technological changes often have a profound impact on human social relations. In recent years, with the development of new-generation information technologies such as big data and artificial intelligence, algorithmic management has gradually permeated the workplace. Using power dependence theory, this study explores how and when algorithmic management practices in non-gig economy enterprises reduce employees’ interest in affiliating with leaders. Two scenario-based experiments found that algorithmic management decreases employees’ interest in affiliating with leaders by reducing their perception of power dependence on those leaders. Additionally, employee traditionality amplifies the negative effect of algorithmic management on perceived power dependence, further diminishing their interest in affiliating with leaders.
曹伟，柏淑嫄. 算法管理通过减少依赖感知降低亲近领导意愿[J]. 应用心理学, 0, (): 1-.
CAO Wei，BAI Shuyuan. Algorithmic Management Reduces Employees’ Interest in Affiliating with Leaders by Decreasing Their Perception of Power Dependence on Those Leaders. 应用心理学, 0, (): 1-.
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