Paralleling developments in the physical sciences, computational modeling is emerging in the social and organizational sciences. Organizational researchers are using computational models to gain insights into organizational phenomena and to explore dynamic processes and configurations that are difficult or impossible to investigate with other methods. Many interesting insights have already resulted from this research, such as how group cooperation arises or dissipates in social dilemma settings, and how honesty and benevolence affect behavior in a group task. On the practical side, computational modeling is increasingly effective for organizational design, analysis, and reengineering.
Although a great deal of work remains to be done, eventually both theorists and practitioners will routinely state theories, design organizations, and derive their implications using widely shared computational tools. This volume brings together work from many of the leading researchers in the field.
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