The computational modeling of organizational phenomena is an emerging field with the potential to revolutionize how theories are developed and organizations are designed. Organizational researchers are increasingly employing computational models to understand complex dynamics, such as the emergence of cooperation or the impact of trust on group tasks, which are challenging to study through traditional methods. This volume compiles research from leading figures in the field, highlighting its growing importance for both theoretical exploration and practical applications in organizational design and reengineering. The work suggests a future where computational tools are standard for stating theories, designing organizations, and analyzing their implications.

This collection brings together prominent researchers in the burgeoning field of computational modeling for organizational studies. The work presented aims to demonstrate the utility of computational approaches for gaining insights into complex organizational dynamics that are difficult to study through conventional means. It highlights the potential for these methods to inform organizational design, analysis, and reengineering, suggesting a future where such tools are routinely used by theorists and practitioners alike. The compilation serves as a snapshot of the field's advancements and its promise for future development.