23091: Converging Pathways: The Interdependence Between Innovation and Non-Market Strategy

Saturday, July 26, 2025

15:30 - 18:00 CEST (GMT+2)

Location: Bella Center: Hall C- C2-m4

Session Type: PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/qdkDAv

Organizer(s)

NA

Nur Ahmed

University of Arkansas, United States
NW

Nicole West

U. of Texas at Dallas, United States
MP

Michael Park

INSEAD, France

Panelist(s)

FP

Francisco Polidoro

U. of Texas at Austin, United States
PO

Pinar Ozcan

University of Oxford
ML

Michael Lenox

University of Virginia, United States
LD

Luis Diestre

IE University, Spain
JK

Joshua Krieger

Harvard Business School

This workshop aims to explore the growing role of Artificial Intelligence (AI) in accelerating scientific innovation. AI’s transformative impact on industries, organizational structures, and innovation processes presents opportunities to advance management research. This workshop will integrate insights from various disciplines including economics, sociology, computational social science, and management, to deepen our understanding of AI’s role in shaping scientific and technological progress. One of the objectives is to examine how AI tools and methodologies are transforming the landscape of scientific inquiry and innovation. This workshop aims to address critical aspects of AI in the context of scientific and technological innovation by offering a multidisciplinary view on the specialized role of AI, human-AI interaction, the impact of institutions, and strategic interactions in the commercialization of new technologies. Participants will gain comprehensive insights into how AI-enabled and augmented processes may shape the future of innovation trajectories, policy implications, and societal welfare.