PhD Dissertation Proposal by YANG Xu | Understanding the Role of Large Language Models in Strategic Information Systems and Organizational Decision Making

Understanding the Role of Large Language Models in Strategic Information Systems and Organizational Decision Making

ABOUT THE TALK

Understanding the Role of Large Language Models in Strategic Information Systems and Organizational Decision MakingLarge language models (LLMs) are transforming how organizations process information and make decisions. This dissertation empirically examines how LLMs facilitate and reshape decision-making across key organizational actors, investors, managers, and financial analysts, within the context of information systems (IS) research.

The first study evaluates ChatGPT’s performance in management sentiment analysis, showing that general-purpose LLMs can match or exceed domain-specific models like FinBERT in extracting managerial tone from textual data.

The second study develops an LLM-based framework to infer employees’ perceived job security from Glassdoor reviews, offering a novel digital-trace measure of labor market stability.

The third study explores how the emergence of LLMs affects financial analysts’ forecasting performance, finding that LLM adoption improves forecast accuracy and narrows the skill gap between analysts.

Collectively, the findings highlight the transformative role of LLMs in advancing the frontier of decision-making in the LLM era.

SPEAKER BIOGRAPHY

YANG, Xu is a Ph.D. candidate in Information Systems at Singapore Management University, supervised by Associate Professor HU, Nan. His research examines how emerging large language model technologies transform organizational decision-making and knowledge processes. He has presented his work at leading academic conferences, including the International Conference on Information Systems (ICIS) and the Americas Conference on Information Systems (AMCIS).