Large Language Models for Business Research

SPEAKER

Prof. Jing WU

Associate Professor of Department of Decisions, Operations and Technology; Director of Institute Development Office, Asian Institute of Supply Chains and Logistics, The Chinese University of Hong Kong

This is a joint seminar organized by the Institute of Digital Economy & Innovation and HKU Business School’s academic area of Innovation & Information Management.

SPEAKER

Prof. Jing WU

Prof. Jing Wu is an Associate Professor in the Department of Decisions, Operations and Technology at the Chinese University of Hong Kong (CUHK) Business School. He is the Director of the Asian Institute of Supply Chains & Logistics (AISCL)’s Institute Development Office. He receives his Ph.D. (major in operations management, minor in economics & finance) and MBA from the University of Chicago Booth School of Business and his bachelor’s degree in Electronic Engineering from Tsinghua University.

Prof. Wu’s primary research fields are the operations-finance interface, global supply chains, FinTech, and business intelligence. As a recipient of multiple best paper awards in OM and IS fields, his papers are published in leading journals such as Management Science, M&SOM, and POMS. His articles appear in business magazines such as MIT Sloan Management Review, the Economist, and Forbes. In particular, his quantitative research findings on the supply chain impact of COVID-19 and the Trade War have been reported by over 400 media outlets in over 20 countries worldwide. He is a Senior Editor for Production and Operations Management and serves on the Editorial Review Board for Journal of Operations Management. He has been a committee/track/cluster chair for leading international academic conferences such as INFORMS and POMS meetings. Before academia, he worked as a quantitative strategist at Deutsche Bank New York.

ABSTRACT

This talk focuses on the application of Large Language Models (LLMs) in business research. It examines two main methodologies for deploying LLMs: fine-tuning domain-specific models and using LLMs to operationalize a wide range of external tools. The talk explores how LLMs are utilized in FinTech, Information Systems, and Operations Management, covering topics like financial analysis, financial advisory, smart contracts, and ethical considerations in MIS. It also highlights the use of LLMs in operations management, using my latest paper as an example. The study aims to provide an introduction while demonstrating the future potential of LLMs in business research.

MODERATOR

Prof. Hailiang CHEN

Professor, Innovation and Information Management;

HKU Business School

Institute of Digitial Economy and Innovation

IDEI Distinguished Research Seminar Series