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Designing Stress Resistant Organizations demonstrates, in a persuasive way, how computational organization theory can be applied to advance the field of management with its successful integration of theory and practice. At the theoretical level, the book contains a comprehensive computational framework called DYCORP, which simulates dynamic and interactive organizational behaviors by incorporating multiple factors such as organizational design, task environment, and stress, and which generates consistent and insightful propositions on organizational performance. The book utilizes an organization science based approach to computational modeling. This approach recognizes the limit of human cognition as it was outlined by Herbert A. Simon in 1947. The model strives to focus on the essence of the reality that is most relevant to the research issue. This approach has been proven to be more beneficial for us to understand the underlying dynamics of the phenomenon.
Series Editors' Statement. Preface. 1: Introduction. 1.1. Introduction. 1.2. Issues Raised from The Vincennes Incident. 1.3. Objectives of The Book. 1.4. Organization of The Book. 2: Literature on Organizational Performance. 2.1. Introduction. 2.2. Organizational Performance. 2.3. Organizational Decision Making. 2.4. Stress. 2.5. Organizational Design. 2.6. Task Environment. 2.7. Research Strategies in This Book. 3: Computational Theorizing: A Formal Framework of Organizational Performance. 3.1. Introduction. 3.2. Stylized Radar Task. 3.3. Organizational Performance Measure. 3.4. Organizational Decision Making Process. 3.5. Stress. 3.6. Organizational Design. 3.7. Characteristics of Task Environment. 3.8. Simulation Experiments. 3.9. Theoretical Analyses from the Formal Framework. 3.10. Summary. 4: Crisis Applications: An Empirical Analysis of Organizational Performance under Stress. 4.1. Introduction. 4.2. Data Description. 4.3. Coding of the Data. 4.4. Empirical Analysis of Organizational Data: Observations vs. Predictions. 4.5. Summary. 5: Linking Theory to Practice. 5.1. Introduction. 5.2. Learning From Real World Problems: Two Organizational Cases. 5.3. Theoretical Insight into Real World Problems: Where can We Help. 5.4. Summary. 6: Conclusion. 6.1. Main Findings. 6.2. Discussions. 6.3. Implications. A: CodingScheme for Real World Crisis Cases. B: Data for Compiling Figures in Chapter 3. C: Further Descriptions of the DYCORP Framework. C.1: Main Components of DYCORP. C.2: General Algorithms for DYCORP. C.3: Portability of DYCORP for Other Research Issues. References. Subject Index.