11596: Pre-Trained Large Language Models in Strategy Research

Sunday, July 27, 2025

15:30 - 17:00 CEST (GMT+2)

Location: Bella Center: Hall D- D3-m5

Session Type: Symposium (panel)
Orientation: Research
Shareable link: https://cdmcd.co/RxzXpg

Moderator(s)

FH

Florence E M Honore

U. of Wisconsin, Madison, United States
SC

Shinjinee Chattopadhyay

U. of Illinois, United States

Panelist(s)

BV

Bart Vanneste

UCL School of Management, United Kingdom
MM

Milan Miric

U. of Southern California -Marshall School of Business, United States
PC

Prithwiraj Choudhury

Harvard U., United States
CH

Carolin Haeussler

U. of Passau, Germany

The rise of pre-trained large language models (LLMs) presents transformative opportunities for strategy research. This panel explores two critical dimensions: how firms adopt LLMs to enhance strategic decision-making and value creation and how researchers use LLMs to analyze strategic phenomena at unprecedented scales. By automating sophisticated tasks, LLMs enable firms to optimize decision-making processes, such as M&A evaluations and leveraging AI representations of employees. For scholars, LLMs facilitate processing a vast body of texts, offering new insights into strategy questions. Panelists will discuss these advancements, showcasing innovative applications of LLMs by firms and academics in the strategy domain.