ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

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算法管理对工作家庭界面的影响研究

陈龙, 邹星, 姚斐思, 高鑫雨   

  1. 河海大学商学院, 江苏 211100 中国
    南京航空航天大学经济与管理学院, 江苏 211100 中国
  • 收稿日期:2026-01-14 修回日期:2026-05-08 接受日期:2026-05-21
  • 基金资助:
    国家自然科学基金(72401089)

A Study on the Impact of Algorithmic Management on Work-Family Interface

CHEN Long, ZOU Xing, YAO Feisi, GAO Xinyu   

  1. Business School, Hohai University 211100, China
    College of Economics and Management, Nanjing University of Aeronautics and Astronautics 211100, China
  • Received:2026-01-14 Revised:2026-05-08 Accepted:2026-05-21
  • Supported by:
    National Natural Science Foundation of China(72401089)

摘要: 算法管理是零工经济和平台工作的主要管理模式,其“赶工游戏式”的管理使零工陷入高强度、不稳定的工作节奏中,加剧了工作与家庭之间的紧张关系,引发了零工工作家庭界面模糊的困境。如何平衡工作与家庭的关系,成为管理者和零工共同关切的问题。本研究基于双重加工模型和耗散结构理论,构建算法管理影响工作家庭界面被调节的中介作用模型。具体而言,研究一结合人脑的耗散结构特征,从系统1层面构建算法管理对工作家庭促进的线性影响模型;研究二依据个体的耗散结构特征,从系统2层面建立算法管理对工作家庭冲突的非线性影响模型。预期研究成果可以为阐释算法管理对工作家庭界面的影响提供一个契合的理论视角,为改善零工平台的算法管理水平、帮助零工妥善处理工作和家庭间的关系提供策略建议。

关键词: 零工经济, 算法管理, 工作家庭界面, 双重加工模型, 耗散结构理论

Abstract: Algorithmic management is the primary management model for the gig economy and platform work. Its “rush-games-style” management traps gig workers in an intense and unstable work rhythm, which exacerbates the tension between work and family, and triggers the dilemma of work-family interface blurring for gig workers. How to balance work and family has become an important issue of common concern to both managers and gig workers. Based on the dual-process model and dissipative structure theory, this study constructs a moderated mediation model of the impact of algorithmic management on the work-family interface. Specifically, Study 1 combines the dissipative structural characteristics of the human brain and constructs a linear impact model of algorithmic management on work-family facilitation from system 1; Study 2 draws on the dissipative structural characteristics of the individual and constructs a nonlinear impact model of algorithmic management on work-family conflict from system 2. The anticipated findings can provide an integrated theoretical perspective for explaining the impact of algorithmic management on the work-family interface, and offer suggestions for improving gig platforms’ algorithmic management capabilities and helping gig workers properly balance work and family relationships.

Key words: gig economy, algorithmic management, work-family interface, dual-process model, dissipative structure theory