2024 Academy of Management Meeting in Chicago
What: Session # 357 Linking Computational Models and Experiments in Behavioral Strategy Research
When: Saturday, Aug 10, 12:00 PM to 3:00 PM
Where: Sheraton Grand Chicago in Ontario
Who:
Panelists: Daniel Levinthal, Marlo Raveendran, Oliver Baumann, & Scott Ganz
Organizers: Dong Nghi Pham, Mads Kock Pedersen
Facilitator: Ekin Ilseven
About:
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. 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.
In the interactive session, we will discuss and practice modeling with a simulation model and how it can be related to experiments. Bring your laptops for this part.
The workshop is open to participants with or without prior experience in programming and modeling.
2023 Academy of Management Meeting in Boston
What: Session # 491 Using Computational Models in Behavioral Strategy Research
When: Saturday, Aug 5, 4:00 PM to 7:00 PM
Where: Marriott, Vermont
Who:
Panelists: Jerker Denrell, Dan Levinthal, Hart Posen, Marlo Raveendran, Michael Ryall
Organizers: Chengwei Liu, Dong Nghi Pham, Maciej Workiewicz
About:
Computational models are gaining increasing attention in the management literature. They allow modeling and analyzing the behavior of complex systems of interacting agents and experimenting with different interaction structures, such as markets, networks, and organizations. As such, they are an excellent tool for studying the aggregation of distributed action, a central topic of interest in behavioral strategy. In its third installment, this workshop will give the participants an opportunity to interact with prominent scholars in the field and to work and practice modeling in an interactive session. In the first part of the workshop, the panel will discuss the role of formal models in behavioral strategy, address the process of designing and implementing a computational model, and outline the most interesting and challenging future applications of computational models.
In the interactive session, we will discuss and practice modeling mutual learning in organizations. Bring your laptops for this part. We will explore how ChatGPT can help us to be better modelers.
The workshop is open to participants with or without prior experience in programming and modeling.
For archive materials, contact dongnghi.pham@essec.edu.
_______________
The TOM Society also organized workshops at the Academy of Management Annual Meeting (2017-19) and the Strategic Management Society Annual Meeting (2017) .