The Midterm Review and Annual Exchange Meeting of the 2025 Special Program "Research on Frontier Scientific Issues in Business Administration Based on General-Purpose Large Models" and "Research on Scientific Issues in Business Administration in the Era of Generative Artificial Intelligence" was held on December 30, 2025, at School of Management at Fudan University (Fudan SoM). The event was hosted by the Department of Management Sciences, National Natural Science Foundation of China (NSFC) and organized by School of Management at Fudan University.

More than 70 participants attended the meeting, including Zhimin Chen, Vice President of Fudan University; Zuoyi Liu, Deputy Director of the Department of Management Sciences, NSFC; Xiongwen Lu, Dean of School of Management at Fudan University; members of the expert advisory panel; principal investigators and project teams; and relevant staff of the Department of Management Sciences, NSFC. The opening session was chaired by Jiangtao Li, Director of the Division of Integrated and Strategic Planning, Department of Management Sciences, NSFC.

In his opening remarks, Zhimin Chen outlined Fudan University's strategic initiatives and phased achievements in the fields of AI for Science and AI for Social Science. He emphasized that China bears important responsibilities in global artificial intelligence governance, and that artificial intelligence research should adhere to a people-centered orientation in order to support the high-quality development of business administration as a discipline. Zuoyi Liu introduced the objectives and requirements of the midterm review and annual exchange of the special program. He encouraged scholars to anchor their research in both scientific frontiers and major national needs, urged young researchers to stay attentive to NSFC policy directions and research opportunities, and noted that the Department of Management Sciences, NSFC would continue to provide strong support for young scientists engaged in long-term fundamental research.

During the midterm review session of the special program "Research on Frontier Scientific Issues in Business Administration Based on General-Purpose Large Models," Cong Cheng (Zhejiang University of Technology), Shuming Zhao (Nanjing University), Junqi Shi (Zhejiang University), En Xie (Tongji University), and Dengshi Huang (Southwest Jiaotong University) presented updates on their projects and reported on their research progress and achievements. The expert advisory panel conducted in-depth discussions on research scenarios, theoretical contributions, research methods, and technical pathways, and provided constructive recommendations on further refining research directions, methodological innovation, and strengthening the integration of industry, academia, and research.

In the annual exchange session of the special program "Research on Scientific Issues in Business Administration in the Era of Generative Artificial Intelligence," Kang Xie (Sun Yat-sen University), Xianghua Lu (Fudan University), Juan Feng (Shenzhen International Graduate School of Tsinghua University), Jin Zhang (Renmin University of China), Weiguo Zhong (Peking University), Zengquan Li (Shanghai University of Finance and Economics), Jian Xue (Tsinghua University), Fuwei Zeng (Wuhan University), and Weihe Gao (Shanghai University of Finance and Economics) reported on the research progress and key questions addressed since the launch of their respective projects. The expert advisory panel provided detailed feedback on the internal logic, research paradigms, methodological choices, and representativeness of application scenarios, and offered specific guidance to support the further advancement and practical application of research outcomes.

In his concluding remarks, Zuoyi Liu commended the insightful questions and constructive recommendations of the expert panel and expressed the hope that the special program would encourage more young scholars and doctoral researchers to commit to sustained engagement in this field, thereby laying a solid foundation for the continued advancement of interdisciplinary research between artificial intelligence and business administration.

The successful convening of this meeting further strengthened academic consensus on interdisciplinary research between artificial intelligence and business administration, stimulated sustained research momentum among participating teams, and is expected to make an important contribution to the long-term development and high-quality output of this field.