当代财经 ›› 2026, Vol. 0 ›› Issue (3): 86-96.

• 企业管理 • 上一篇    下一篇

人工智能情感支持如何重塑员工人际关系——基于自我概念的视角

陈佳颖1, 薛嘉欣2, 李育辉2   

  1. 1.内蒙古大学 经济管理学院,内蒙古 呼和浩特 010021;
    2.中国人民大学 劳动人事学院,北京 100872
  • 收稿日期:2024-10-12 修回日期:2025-02-04 出版日期:2026-03-15 发布日期:2026-03-26
  • 通讯作者: 李育辉,中国人民大学教授,博士生导师,理学博士,主要从事组织行为学研究,联系方式yuhui_li@ruc.edu.cn。
  • 作者简介:陈佳颖,内蒙古大学讲师,管理学博士,主要从事组织行为学研究;薛嘉欣,中国人民大学博士研究生,主要从事组织行为学研究。
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目“人机融合下的人力资源管理数智化转型与协同管理创新研究”(24XNN007); 内蒙古大学高层次人才科研启动项目(10000-A25205044)

How Artificial Intelligence Emotional Support Reshapes Employee Interpersonal Relationships: From a Self-Concept Perspective

Chen Jia-ying1, Xue Jia-xin2, Li Yu-hui2   

  1. 1. Inner Mongolia University, Hohhot 010021;
    2. Renmin University of China, Beijing 100872, China
  • Received:2024-10-12 Revised:2025-02-04 Online:2026-03-15 Published:2026-03-26

摘要: 随着人工智能情感功能的不断发展,员工向人工智能寻求情感支持的现象日益增多,这将对工作场所的人际行为产生深远影响。然而,相较于对工作行为和结果的广泛关注,关于人工智能如何影响员工人际关系的研究,尤其是从人工智能情感支持视角出发的探讨非常有限。基于自我概念理论,通过采取三时点的问卷调查方法对来自440名员工的数据进行分析,探讨了人工智能情感支持如何影响员工关系重塑。研究结果显示,人工智能情感支持通过引导员工进行关系反思,进而促进了关系重塑。外倾性强化了人工智能情感支持对关系反思的正向作用,同时强化了关系反思在人工智能情感支持与关系重塑之间的中介作用。基于上述结论,企业应该重视人工智能情感功能对工作场所的潜在影响,并结合员工的个体差异,有效规划人工智能情感支持的应用布局,以发挥人工智能对工作场所人际关系的积极作用。

关键词: 人工智能, 情感支持, 关系反思, 关系重塑, 外倾性

Abstract: With the continuous development of emotional functions in artificial intelligence, the phenomenon of employees seeking emotional support from artificial intelligence is increasing, which will have a profound impact on interpersonal behavior in the workplace. However, compared to the widespread focus on work behavior and outcomes, researches on how artificial intelligence affects employee interpersonal relationships, especially from the perspective of artificial intelligence emotional support, is very limited. Based on the self-concept theory, this study analyzes the data from 440 employees using a three-point questionnaire survey method to explore how artificial intelligence emotional support affects employee relationship reshaping. The research results show that artificial intelligence emotional support can promote employee relationship reflection, thereby facilitating relationship reshaping. The extraversion enhances the positive effect of artificial intelligence emotional support on relationship reflection, while also strengthening the mediating role of relationship reflection between artificial intelligence emotional support and relationship reshaping. Based on the above conclusion, enterprises should pay attention to the potential impact of artificial intelligence emotional functions on the workplace, and effectively plan the application layout of artificial intelligence emotional support based on individual differences of employees, so as to leverage the positive role of artificial intelligence in interpersonal relationships in the workplace.

Key words: artificial intelligence, emotional support, relational reflection, relation reshaping, extroversion

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