Computational Modeling of Behavior in Organizations
The Third Scientific Discipline
Published on 1. January 2000
Book
Hardback
320 pages
978-1-55798-639-9 (ISBN)
Description
This work describes a recent method for predicting outcomes that result from the complex and dynamic ways that organizations work. By creating "virtual organizations", computational modelling 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 modelling, vital questions in both theoretical and applied research can be addressed. Contributing authors describe how they have used this 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 modelling promises to become a useful research method for revealing the dynamic effects of complex behaviours in organizations. This volume should show researchers both the advantages of using computational modelling and the strategies, contexts and methods for its use.
More details
Language
English
Place of publication
Washington DC
United States
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 230 mm
ISBN-13
978-1-55798-639-9 (9781557986399)
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Schweitzer Classification
Content
Introduction to Computational Modelling in Organizations - the Good Modelling Does, Charles L. Hulin and Daniel R. Ilgen; Virtual Organizations, Steven T. Seitz; The Impact of Organizational Interventions on Behaviours - an Examination of Different Models of Withdrawal, Kathleen A. Hanisch; Comparing Different Models of Withdrawal Using a Computational Model, Mark Fichman; Examining the Fit Between Empirical Data and Theoretical Models, Liberty J. Munson and Charles L. Hulin; Modelling Withdrawal - Theoretical, Empirical and Methodological Implications, Nigel Nicholson; Modelling Faking on Personality Tests, Michael J. Zickar; Computational Models of Personality and Faking, Richard P. DeShon; Simulating Effects of Pay for Performance Systems on Pay-Performance Relationships, Donald P. Schwab and Craig A. Olson; Consequences of Organizational Reward Systems, John R. Hollenbeck; Information Distribution, Participation and Group Decision - Explorations with the DISCUSS and SPEAK Models, Garold Stasses; The DISCUSS and SPEAK Models - Lessons on the Value of Linking Theory, Empirical Research and Computer Simulation, M. Anjali Sastry; Computational Modelling with Petri Nets - Solutions for Individual and Team Systems, Michael D. Coovert and David W. Dorsey; Getting Entangled in One's Own (Petri) Net - On the Promises and Perils of Computational Modelling, Norbert L. Kerr.