This study aims to explore artificial intelligence (AI), especially the application mechanisms and potential impacts of domain-specific large models in management research. By systematically sorting out the relevant concepts of artificial intelligence, this paper clarifies its operational mechanisms and application scope in empowering management research. This article introduces the difference between general large models and domain-specific large models, emphasizing that the latter has advantages in relevance, controllability, accuracy, and data privacy. These advantages can help management researchers improve efficiency and promote innovation in management research steps such as research question construction, literature review, data collection, and processing. The automation and augmentation effect of AI on management research differs among different management research steps. The paper makes six propositions on how the use of domain-specific large models augmented with multi-agent systems can enhance the individual steps. ExpertGPT, a multi-agent system, serves as an example to demonstrate its operating principle. Overall, the implementation of AI in management research can have a significant impact on the theoretical framework of management studies and incubate innovation in theory and practice.
