算法控制、角色压力与员工变革态度的关系研究

Research on the Relationship between Algorithmic Control, Role Stress and Employees’ Attitudes towards Change

摘要: 随着数字化转型浪潮席卷众多行业与企业，数字技术与算法日益渗透至日常工作的管理之中，特别是在员工控制方面展现出显著的应用潜力。为了深入探究数字化转型背景下算法控制对员工变革态度的影响机制，本研究基于角色理论、社会技术系统理论，在深化算法控制概念理解的基础上，构建了一个包含算法控制、角色压力、算法透明、员工变革承诺及变革抗拒的有调节的中介作用模型。本研究采用线上线下相结合的问卷调查方法，验证了算法控制对员工变革态度及其潜在作用路径的影响。研究结果显示，算法控制显著加剧了员工的角色压力，进而显著提升了员工的变革抗拒，并相应地削弱了员工的变革承诺。本研究不仅为组织情境下的算法控制研究开辟了新的理论视角，而且为致力于实施科学员工管理实践的组织提供了宝贵的实践指导。

Abstract: As the wave of digital transformation sweeps through numerous industries and enterprises, digital technologies and algorithms have increasingly permeated into the management of daily work, particularly demonstrating significant potential in employee control. To deeply explore the impact mechanism of algorithmic control on employees’ attitudes toward change in the context of digital transformation, this study, grounded in role theory and with a deepened understanding of the concept of algorithmic control, constructs a mediation model encompassing algorithmic control, role stress, employees’ commitment to change, and resistance to change. Utilizing a combined online and offline questionnaire survey method, this study validates the influence of algorithmic control on employees’ attitudes toward change and its underlying pathways. The research findings reveal that algorithmic control significantly intensifies employees’ role stress, subsequently elevating their resistance to change and correspondingly diminishing their commitment to change. This study not only opens up a new theoretical perspective for research on algorithmic control in organizational contexts but also provides invaluable practical guidance for organizations striving to implement scientific employee management practices.