期刊文献+

人工智能时代的工商管理研究现状与未来

Business Administration Research in the Age of Artificial Intelligence——An Academic Review of the Business Administration Development Seminar Based on Artificial Intelligence Technology
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摘要 依据“基于人工智能技术的工商管理发展”学术研讨会,本文结合相关研究前沿问题和国家重大需求,系统总结了当前工商管理关于人工智能研究的现状、机遇与挑战。总体来看,当前研究主要将人工智能技术作为研究工具、方法或情景,将人工智能作为研究对象构建新创理论的实证研究相对不足,面临理论发展滞后、研究方法不足、研究路径单一、跨学科整合不足以及对相关伦理问题重视度不够等五大挑战。在此基础上,利用Web of Science全面检索并梳理了2022年1月至2024年3月间与人工智能主题直接相关的工商管理期刊论文225篇,归纳了当前工商管理学科各个细分方向研究的主要进展,凝练了面向人工智能的组织结构与设计、组织能力演化、组织行为与人力资源管理变革、人机协同、数字营销、金融财会风险监管、信息系统、管理哲学与文化等八大方面的关键科学问题,指出了我国工商管理学科在人工智能时代的发展目标与研究方向。 On the basis of“business management based on artificial intelligence technology development”academic seminar,this paper combined related research frontier issues with major national demand,and summarized the present situation,opportunities and challenges of business administration research on artificial intelligence.It was found that current empirical research on artificial intelligence mainly regarded artificial intelligence technology as a research tool,method or scenario rather than building new theories on it.It led to five major challenges as lagging theory development,insufficient research methods,single research path,insufficient interdisciplinary integration and insufficient attention to related ethical issues.By searching and analyzing 225 artificial intelligence-related research published on business administration journal during January 2022 and March 2024 from Web of Science,we further summarized current research progress in several subdivisions of the business administration,and concluded eight scientific issues on artificial intelligence for future research,including organizational structure and design,organizational capability evolution,organizational behavior and human resource management reform,man-machine collaboration,digital marketing,financial and accounting risk supervision,information system,management philosophy and culture.
作者 仲为国 贾宁 梁屹天 田轩 倪晨凯 卢向华 才凤艳 谢小云 施俊琦 贺伟 许年行 汪林 秦昕 何贤杰 焦豪 张光磊 潘煜 王益文 刘作仪 Weiguo Zhong;Ning Jia;Yitian Liang;Xuan Tian;Chenkai Ni;Xianghua Lu;Fengyan Cai;Xiaoyun Xie;Junqi Shi;Wei He;Nianhang Xu;Lin Wang;Xin Qin;Xianjie He;Hao Jiao;Guanglei Zhang;Yu Pan;Yiwen Wang;Zuoyi Liu(Guanghua School of Management,Peking University,Beijing 100871;School of Economics and Management,Tsinghua University,Beijing 100084;School of Management,Fudan University,Shanghai 200433;Antai School of Economics and Management,Shanghai Jiao Tong University,Shanghai 200030;School of Management,Zhejiang University,Hangzhou 310058;School of Business,Nanjing University,Nanjing 210093;Business School,Renmin University of China,Beijing 100089;School of Management,Sun Yat-sen University,Guangzhou 510275;Accounting School,Shanghai University of Finance and Economics,Shanghai 200433;School of Economics and Business Administration,Beijing Normal University,Beijing 100088;School of Management,Wuhan University of Technology,Wuhan 430070;School of International Business Administration,Shanghai International Studies University,Shanghai 201899;School of Economics and Management,Fuzhou University,Fuzhou 350116;Department of Management Sciences,National Natural Science Foundation of China,Beijing 100085)
出处 《中国科学基金》 CSSCI CSCD 北大核心 2024年第5期794-805,共12页 Bulletin of National Natural Science Foundation of China
关键词 人工智能 工商管理 现状与进展 机遇与挑战 科学问题 artificial intelligence business administration current situation and progress opportunities and challenges scientific questions
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