On the morning of November 4th, at the invitation of the School of Management, Associate Professor Liang Peng from the School of Management at the University of Science and Technology of China held an academic exchange with faculty and students of the college in Lecture Hall 210 of the College Building on the Chang'an Campus. He delivered an academic lecture titled "Two Studies on the Application of Large Language Models." The lecture was hosted by Associate Professor Tian Haowen from the School of Management, and some graduate students from the college attended the event.

During the lecture, Associate Professor Liang Peng focused on the cutting-edge technology of large language models and shared the research findings from two recent academic papers, delving into how they drive scientific research innovation in the fields of economics and management. Professor Liang first introduced a study titled "Understanding the Impact of Trade Policy Effect Uncertainty on Firm-level Innovation Investment", which he co-authored and was published in the internationally renowned journal Journal of Operations Management. This study used large language models to analyze vast amounts of text data, revealing the intrinsic mechanisms through which uncertainty in the external trade policy environment affects firms' innovation investment decisions. Subsequently, Professor Liang highlighted a recent working paper titled "Navigating Trade Policy Effect Uncertainty: How Firms Adapt Global Supply Networks through Buffering and Bridging". This study further employs large language models to conduct an in-depth analysis of how firms, when facing complex and volatile global trade policies, dynamically adjust and optimize their global supply network configurations through two strategic approaches—"buffering" and "bridging"—to enhance organizational resilience and adaptability.

The entire lecture was rich in content, novel in perspective, and closely aligned with the latest academic trends. During the interactive session, faculty and students actively asked questions and engaged in a lively and in-depth exchange with Associate Professor Liang Peng, discussing topics such as the technical principles of large language models, their application methods in specific research, and potential future research directions.

This academic exchange activity not only broadened the academic horizons of the participating faculty and students and sparked a strong interest in the integration of cutting-edge information technology with economics and management research, but also played a positive role in fostering a vibrant atmosphere of scientific research innovation within our school.

About the Speaker：

Liang Peng is an Associate Professor at the School of Management, University of Science and Technology of China. His main research areas include Accounting + AI and the Accounting–OM/IS Interface, with a focus on applying large language models and artificial intelligence technologies to research in economics and management. His research has been published in internationally renowned journals such as the Journal of Operations Management and Production and Operations Management (×2). He has served as the principal investigator for projects funded by the National Natural Science Foundation of China (Young Scientists Fund) and the Fundamental Research Funds for the Central Universities, and is an anonymous reviewer for several internationally renowned SCI/SSCI journals. His paper was selected among the "Top 10 Most-Cited Papers Published by the Journal of Operations Management in 2023," received second prize at the "Big Data, Artificial Intelligence, and Financial Technology Conference," and multiple of his papers have appeared on the "Top Ten Download List" in their respective SSRN subfields.

(Written by: Zhi Huili Reviewed by: Jia Ming)