Abstract：Based on the Job Demands-Resources (JD-R) model, the research explores the double-edged sword effect of algorithmic management on employees’ innovative behavior in traditional enterprises through two pathways: Work engagement and work burnout, as well as the moderating role of organizational identification. Through the analysis of 309 contextual experimental (study 1) and 352 multi-wave and multi-source questionnaire data (study 2). The results show that algorithmic management can both enhance employees’ innovative behavior by increasing work engagement and undermine it by inducing work burnout. Organizational identification positively moderates the relationship between algorithmic management and work engagement while negatively moderating the relationship between algorithmic management and work burnout. Furthermore, organizational identification also moderates the mediating roles of work engagement and work burnout in the relationship between algorithmic management and employees’ innovative behavior.
刘嫦娥，刘芸帆，陈雅惠，林星宇，刘婷婷. 算法管理对传统企业员工创新行为影响的双刃剑效应研究[J]. 管理学报, 2025, 22(7): 1277-.
LIU Chang’e，LIU Yunfan，CHEN Yahui，LIN Xingyu，LIU Tingting. The Double-Edged Sword Effect of Algorithmic Management on Employees’ Innovative Behavior in Traditional Enterprises. Chinese Journal of Management, 2025, 22(7): 1277-.
