357: Linking Computational Models and Experiments in Behavioral Strategy Research (18102)

Saturday, August 10, 2024

12:00 – 15:00 CT (GMT-5/UTC-5)

Location: Sheraton: Ontario

Session Number: 357
PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/nR5AP7

Organizer(s)

DP

Dong-Nghi PHAM

ESSEC Business School, France
MP

Mads Kock Pedersen

Aarhus U., Denmark

Panelist(s)

DL

Daniel Levinthal

U. of Pennsylvania, United States
MR

Marlo Raveendran

U. of California, Riverside, United States
SG

Scott Cohn Ganz

Georgetown MSB, United States
OB

Oliver Baumann

U. of Southern Denmark, Denmark
TK

Thorbjoern Knudsen

Frankfurt School of Finance & Management gGMBH, Germany

Behavioral strategy has critical influences in the management literature. To investigate the behavioral aspects of strategic decision-making, two approaches are gaining increasing attention: computational models and experiments. Computational models enable developing theories about the behavior of complex systems of heterogeneous interacting agents across various structural contexts (e.g. organizations). Experiments test these theories empirically and sometimes reveal unexpected findings that inspire new theoretical insights. Therefore, both are powerful complementary tools for studying how distributed actions aggregate into strategic outcomes. In this workshop, we offer participants an opportunity to interact with prominent scholars who work on bridging computational models and experiment methods to advance behavioral strategy research, as well as hands-on training with modeling during an interactive session. The panel will discuss the role of models and experiments in behavioral strategy, address how to implement and bridge computational models and experiments, and outline the most exciting and challenging future applications. The interactive session will practice a model of mutual learning in organizations and discuss the links to experimental designs.