当员工遇见AI：员工-AI协作的构念测量、前因组态与影响机制研究
When employee meets AI: Research on employee-AI collaboration’s construct measurement, antecedent configuration and influence mechanism
陈慧 1丰超2
作者信息
- 1. 南京师范大学金陵女子学院
- 2. 南京航空航天大学经济与管理学院
- 折叠
摘要
数智时代，员工-AI协作成为重要的工作模式。在此背景下，探究员工-AI如何协作，为何会采取不同协作模式，不同协作模式会带来何种影响以及如何进行干预成为重要研究问题。为此，本研究针对员工-AI协作的类型、前因和后果开展了一系列探索。首先，基于能动性和交互度双重维度将员工-AI协作模式划分为增强型、共生型、辅助型和替代型四类，并开发相应量表。其次，基于社会技术系统理论，从“员工-AI-任务-组织”四方面识别员工-AI协作的影响因素，并从组态研究视角探究四方面因素的协同效应。最后，基于认知-情感系统理论，引入认知和情感双重机制，并提出四种针对性干预措施，以揭示不同员工-AI协作模式影响员工工作绩效和工作幸福感的作用机理。本研究将拓展员工-AI协作研究，为实现员工与AI高效协同提供重要参考。
Abstract
In the Digital-intelligence era, employee-AI collaboration has become an important work pattern. Against this backdrop, it has significance to explore how employee collaborates with AI, why different collaboration patterns emerge, what the impacts of distinct collaboration patterns are, and how to intervene in them. To address these questions, this study conducts a series of explorations focusing on the typologies, antecedents, and consequences of employee-AI collaboration. Firstly, based on the dual dimensions of agency and interaction, the employee-AI collaboration is divided into four typologies: Augmentation, Symbiosis, Assistance, and Substitution, while developing corresponding measurement scales. Secondly, grounded in sociotechnical systems theory, this study identifies influencing factors across four dimensions (employee, AI, task, and organization) and investigates their synergistic effects through a configurational approach. Finally, based on the cognitive-affective processing system theory, this study introduces cognitive-affective dual mechanisms, and explores the moderating role of four management interventions to reveal how different types of employee-AI collaboration shape employee performance and well-being. This study theoretically expands the frameworks for employee-AI collaboration research, and practically it provides critical insights for achieving high efficiency of employee-AI collaboration in organizations.关键词
人机协作/人工智能/工作绩效/工作幸福感Key words
Human-AI collaboration/AI/job performance/job well-being引用本文复制引用
陈慧,丰超.当员工遇见AI：员工-AI协作的构念测量、前因组态与影响机制研究[EB/OL].(2026-03-17)[2026-03-19].https://chinaxiv.org/abs/202603.00101.学科分类
计算技术、计算机技术
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