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Computational modeling is gaining traction in management research, particularly within behavioral strategy, as a powerful method for exploring complex, dynamic organizational phenomena. Curious about what this method might offer scholars across the field? How can it inform and complement theory-building and empirical work? How can it stay relevant and connected to core strategic questions while preserving its unique strengths? Join us for:

PDW #20227 – Using Computational Models in Behavioral Strategy Research
Saturday, July 26, 16:00–18:30 CEST
Bella Center, Hall D3–m11

Featuring a panel with:
Felipe Csaszar (University of Michigan), Vibha Gaba (INSEAD), Giovanni Gavetti (Dartmouth University), Metin Sengul (UT Austin)

Organized by:
Maciej Workiewicz (ESSEC), Dong Nghi Pham (ESADE)

Add to your AOM agenda: https://cdmcd.co/EdmgXK  (no registration required)

The PDW will begin with a panel discussion on the evolving role of computational modeling in strategy and organizational research. Panelists will reflect on:

• What purpose has computational modeling served in our field?
• How has it helped us tackle questions that are otherwise hard to address empirically?
• What problems originally motivated its use?
• What limitations have emerged over time?

After a short networking break, we'll move to an interactive session where participants use AI tools to build and explore a simple model of learning and coordination (no coding experience required).

Whether you're a modeler, theorist, empiricist, or simply curious about what modeling can offer your work, we'd love for you to join us!

For any questions, feel free to contact me at dongnghi.pham@esade.edu.