管理评论 ›› 2025, Vol. 37 ›› Issue (5): 180-190.

• 组织行为与人力资源管理 • 上一篇    

智能机器使用对员工工作投入的双刃剑效应:基于刻板印象内容模型

占小军1, 周雯珺1, 王涛2   

  1. 1. 江西财经大学工商管理学院, 南昌 330013;
    2. 江西科技师范大学经济管理与法学院, 南昌 330036
  • 收稿日期:2024-03-28 发布日期:2025-06-18
  • 作者简介:占小军,江西财经大学工商管理学院教授,博士生导师,博士;周雯珺,江西财经大学工商管理学院博士研究生;王涛(通讯作者),江西科技师范大学经济管理与法学院讲师,博士。
  • 基金资助:
    国家自然科学基金项目(72362019);江西省社会科学基金项目(24GL04)

The Double-edged Sword Effect of the Use of Intelligent Machines on Employees'Work Engagement: A Stereotype Content Model Approach

Zhan Xiaojun1, Zhou Wenjun1, Wang Tao2   

  1. 1. School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330013;
    2. School of Economic Management and Law, Jiangxi Science and Technology Normal University, Nanchang 330036
  • Received:2024-03-28 Published:2025-06-18

摘要: 智能机器(人工智能、机器人和算法)的使用改变了员工的工作方式,员工与智能机器的互动使工作场所变得更加复杂,理解智能机器使用如何影响员工的工作状态变得至关重要。本研究基于刻板印象内容模型,通过325份有效样本,探究智能机器使用对员工工作投入的双刃剑效应。研究结果表明,对于低AI认同的员工来说,智能机器使用降低了其温暖感知,从而抑制工作投入水平;对于高AI认同的员工来说,智能机器使用提升了其能力感知,从而促进工作投入水平。本研究打开了智能机器使用对员工工作投入影响机制的黑箱,并拓宽了刻板印象内容模型的适用范围,有助于员工正确认识并合理利用智能机器,提升员工工作效率,从而推动组织发展。

关键词: 智能机器使用, 温暖感知, 能力感知, 刻板印象内容模型, AI认同

Abstract: The usage of intelligent machines (AI, robots, and algorithms) has changed the way employees work. Given the workplace complexity arising from the interaction between employees and intelligent machines, it is critical to understand how the usage of intelligent machines on their work engagement. Based on the stereotype content model, this study explores the double-edged sword effect of employees' perception of the usage of intelligent machines on their work engagement through 325 valid samples. The results show that for employees with low AI identity, the usage of intelligent machines reduces their warmth perception, thus inhibiting their work engagement; for employees with high AI identity, the usage of intelligent machines enhances their competence perception, thus promoting their work engagement. This paper opens the black box of the mechanism of how the usage of intelligent machines influences employees' work engagement and broadens the research field of stereotype content model, thus helpful for organizations to effectively combine intelligent machines with employee work, for employees to reasonably recognize intelligent machines, and for both organizations and employees to benefit from succeed artificial intelligence.

Key words: the usage of intelligent machines, warmth perception, competence perception, stereotype content model, AI identity