This pioneering book describes the newest method for predicting outcomes that result from the complex and dynamic ways that organizations work. By creating "virtual organizations," computational modeling demonstrates the final effects of complex interactions, enabling researchers to confront the logic of their theories before time-consuming and costly data collection occurs.Through modeling, vital questions in both theoretical and applied research can be addressed.
Contributing authors describe how they have used this powerful research method to study a wide range of typical organizational problems, such as employee withdrawal; faking on personality tests; the pressures of organizational change; and the formation, continuation, and dissolution of groups. By demonstrating processes that are not easily observable by traditional empirical methods, computational modeling promises to become an essential research method for revealing the dynamic effects of complex behaviors in organizations. This volume will show researchers both the advantages of using computational modeling and the best strategies, contexts, and methods for its use.