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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领导对员工-生成式人工智能建议的反应机制：基于社会比较视角多层次研究

韩翼, 马朝翊, 宗树伟   

  1. 中南财经政法大学工商管理学院, 湖北 430073 中国
    西南财经大学工商管理学院, 湖北 中国
  • 收稿日期:2025-09-09 修回日期:2025-11-10 接受日期:2025-11-12
  • 基金资助:
    领导对员工-Gen AI建议反应的差异感知机制：基于社会比较视角多层次研究(72572169); 生成式人工智能建议采纳：构念、测量及其对创造力的双刃剑效应研究(7240021195)

The differential perception of leaders' response to employee-GenAI advice: A multi-level study based on social comparison view

HAN Yi, MA Zhaoyi, ZONG Shuwei   

  1. , Zhongnan University of Economics and Law 430073, China
    , , China
  • Received:2025-09-09 Revised:2025-11-10 Accepted:2025-11-12
  • Supported by:
    The differential perception of leaders' response to employee- GenAI avice: A multi-level study based on social comparison theory(72572169); Advice taking from generative artificial intelligence : Constructs, measurements, and the double-edged effects on creativity(7240021195)

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摘要： 随着GenAI功能的愈发强大与应用场景的不断扩张，GenAI对组织的影响也越来越大，让GenAI参与组织决策已经成为不可阻挡的趋势。但学术界对GenAI建议采纳的研究尚不完善。在领导者、员工、GenAI三方交互的决策过程中，领导者如何评价或比较员工建议、GenAI建议、员工-GenAI团队建议并进行采纳？本项目为探究领导者对员工-GenAI建议采纳的差异感知机制，从社会比较理论的角度出发，主要解决了以下五个问题：1）GenAI建议采纳如何进行界定？2）领导对员工-GenAI建议采纳存在何种差异？3）领导对员工-GenAI团队建议采纳差异如何？4）如何比较员工-GenAI建议采纳的效果差异？5）员工-GenAI建议采纳的障碍与干预机制比较？并形成了5个子课题分别展开了实证研究。最终，本项目围绕以上研究成果，系统构建了员工-GenAI多层次建议采纳模型，为管理学、心理学和人工智能交叉领域的理论发展提供了新的视角和理论支持，也为组织在人机协同决策中优化决策流程、提升创新能力、降低技术应用风险等方面提供了具体的实践指导。

关键词: 领导力, GenAI 建议, 建议反应, 社会比较理论, 感知差异

Abstract: With the increasing power of GenAI functions and the continuous expansion of application scenarios, the impact of GenAI on organizations is also increasing, and it has become an irresistible trend for GenAI to participate in organizational decision-making. But academic research on the adoption of GenAI's advice is incomplete. In the decision-making process of tripartite interaction among leaders, employees and GenAI, how do leaders evaluate or compare employee advice, GenAI advice and employee-GenAI team advice and adopt them? In order to explore the difference perception mechanism of leaders' adoption of employee -GenAI advice, this project mainly solves the following five problems from the perspective of social comparison theory: 1) how to define the GenAI advice-taking? 2) What are the differences of taking employee -GenAI advice in leadership? 3) What is the difference between the leadership's taking advice to the employee-GenAI team? 4) How to compare the effect of employee-GenAI advice? 5) Comparison of barriers and intervention mechanisms recommended by employee-GenAI? Five topics have been formed to carry out empirical research respectively. Finally, around the above research results, this project systematically constructs a multi-level employee-GenAI advice-taking model, which provides a new perspective and theoretical support for the theoretical development of the cross fields of management, psychology and artificial intelligence, and also provides specific practical guidance for organizations to optimize decision-making process, enhance innovation ability and reduce technology application risks in human computer collaborative decision-making.

Key words: leadership, GenAI advice, advice responses, social comparison theory, perceived difference