Abstract：This study reviews the existing technological advancements in artificial intelligence and focuses on the technical principles of domain-specific large models, especially the application of multi-agent systems in management research. We analyze and compare the theoretical methods of artificial intelligence technologies in management research, examining the strengths and weaknesses of different methodologies in the field of management. Through the case of ExpertCPT, the study elaborates on how domain-specific large models optimize each step of the management research process and proposes a new theoretical approach to management research based on multi-agent systems. The study finds that the new methodological approach of artificial intelligence can enhance research efficiency and foster research innovation, specifically by offering new perspectives for research question, optimizing literature search and organization, automating data collection and analysis, improving data visualization, intelligent literature reference and citation management, and digitizing the peer review and publication process. Furthermore, this study discusses the topics that need attention and future research directions after the application of domain-specific large models in management research, providing the academic community with concrete pathways and methods for effectively utilizing artificial intelligence technology in management research.
魏炜，张坤，徐哲淇. 从通用到垂直：大模型赋能管理学研究的新路径[J]. 管理学报, 2025, 22(1): 1-.
WEI Wei，ZHANG Kun，XU Zheqi. From General to Domain-Specific: New Pathways for LLMs Empowering in Management Research. Chinese Journal of Management, 2025, 22(1): 1-.
