人与人工智能的研究及其对组织管理的意义
学术
财经
2024-10-17 10:05
上海
人与人工智能的研究及其对组织管理的意义
Human-AI Research and Its Significance for Organizational Management
《外国经济与管理》2024年46卷第10期 页码：3-17 online：2024年10月20日
中：张志学1 , 贺伟2
英：Zhang Zhixue1 , He Wei2
作者单位：1.北京大学 光华管理学院, 北京 100871; 2.南京大学 商学院, 江苏 南京 210093
摘要：随着人工智能技术迅猛发展并逐步渗透于组织管理，本期专刊旨在引发学者对于人工智能导致的组织管理变革的关注，并推动相关研究的开展。前沿技术在提高组织效能、赋能组织管理的同时，也带来了人类员工被替代、员工倦怠感提升等诸多新挑战。探究人工智能时代下组织管理的新现象、新规律、新构念和新理论，是促进人工智能在组织管理中发挥积极价值的关键桥梁。本期专刊共接受了8篇与人工智能和组织管理相关的论文，探讨的话题主要围绕AI决策、AI使用偏见、人机互动、AI符号化、数字化变革沟通等方面。此外，本文系统梳理和归纳了现有关于人与AI关系的研究脉络，并剖析了2024年美国管理学会AI与组织管理相关文章的研究趋势，以期为未来研究方向提供启示。在此基础上，我们倡议未来研究立足于人工智能在企业运作与管理中的真实问题，进行跨学科与跨领域合作，全面而深入地探讨人机协作等科学问题，以助力企业在人工智能浪潮下实现长远且高质量的发展。
关键词：人工智能；组织管理；人机协同；智能算法；企业数智化
Summary: This special issue aims to stimulate scholarly interest in the transformation in organizational management driven by artificial intelligence (AI) and promote relevant research. The rapid advancement of AI technology has generated significant implications for organizational management. While AI boosts efficiency and enhances management capabilities through innovative techniques, it also poses challenges, such as workforce displacement and heightened employee burnout. Examining the emergent phenomena, trends, concepts, and theories of organizational management affected by AI serves as a critical gateway to realizing its positive potential. This special issue collects eight papers that explore various aspects of AI within the organizational context, covering topics such as AI decision-making, AI usage bias, human-AI interaction, AI symbolism, and digital transformation communication. Additionally, it synthesizes the current research trajectory on the human-AI relationship, and analyzes thematic trends from the 84th Annual Meeting of the Academy of Management on AI and organizational management, aiming to provide insights for future research. Building on this, this paper encourages future research to address critical issues in business operations and management in the AI era, foster interdisciplinary and cross-domain collaborations, and comprehensively explore scientific inquiries such as human-machine collaboration, so as to support enterprises in achieving sustainable and high-quality development.
Key words:AI; organizational management; human-machine collaboration; intelligent algorithms; digital intelligence in enterprises
DOI：10.16538/j.cnki.fem.20240907.101
收稿日期：2024-09-04
基金项目：国家自然科学基金项目（72472002，72225007）
