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Dealing with Complexity An Introduction to the Theory and Application of Systems Science

With technological advance, the difficulties faced by decision makers and researchers become even more complex and hence more difficult to understand and manage. Traditional approaches have their limitations, particularly when dealing with issues that span many fields of endeavor. Fortunately there...

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Bibliographic Details
Main Author: Flood, Robert L.
Format: eBook
Language:English
Published: New York, NY Springer US 1988, 1988
Edition:1st ed. 1988
Subjects:
Electronic Data Processing / Management
It Operations
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 5.2. Evolution of Management Theory
  • 5.3. A Cybernetic View of Management and Organization Theory
  • 5.4. Administrative Management
  • 5.5. The Viable System Model: A Structuralist Alternative
  • 5.6. Management and Organizational Cybernetics
  • 5.7. The Interpretive Alternatives
  • 5.8. Conclusion
  • Problems
  • Six. Systems View of Problems and Problematic Situations
  • 6.1. Introduction
  • 6.2. Setting the Scene
  • 6.3. Hard Systems Methodologies
  • 6.4. Soft Systems Methodology (SSM)
  • 6.5. Teaching and Learning Methodologies
  • 6.6. Which Methodology When?
  • 6.7. Three Case Studies
  • 6.8. Conclusion
  • Problems
  • Seven. Systems Theory in International Relations
  • 7.1. Introduction
  • 7.2. Systems and International Relations
  • 7.3. Conclusion
  • Problems
  • Eight. Systems Quantification: From Stone Age to Space Age
  • 8.1. Introduction
  • 8.2. UsingLetters Instead of Numbers
  • 8.3. Rate of Change
  • 8.4. Drawing up Differential Equations
  • 8.5. Computer Simulation
  • 8.6. Quantitative Cybernetics
  • 8.7. Autoregression and Moving Averages
  • 8.8. Statistical Transfer Functions
  • 8.9. Recursive Estimation
  • 8.10. Conclusion
  • Problems
  • Nine. Systems and Modeling II: Process, Purposes, and Approaches
  • 9.1. Introduction
  • 9.2. The Modeling Process
  • 9.3. Modeling Approaches
  • 9.4. Case Studies
  • 9.5. Conclusion
  • Problems
  • Ten. Systems Science: Making Sense of the Philosophical Issues
  • 10.1. Introduction
  • 10.2. The Philosophical Issues
  • 10.3. Making Sense
  • 10.4. Tying It All Together
  • 10.5. Conclusion
  • Problems
  • References
  • One. Systems: Origin and Evolution, Terms and Concepts
  • 1.1. Introduction
  • 1.2. The Origin and Evolution of Systems Science
  • 1.3. Systems Terms and Concepts
  • 1.4. Conclusion
  • Problems
  • Two. Systems and Complexity
  • 2.1. Introduction
  • 2.2. Coming to Grips with Complexity
  • 2.3. Two-Dimensional Science
  • 2.4. One Dimension beyond Three Ranges of Complexity
  • 2.5. Conclusion
  • Problems
  • Three. Systems and Modeling I: Diagrams and Identification
  • 3.1. Introduction
  • 3.2. Misuse and Abuse
  • 3.3. System Diagrams
  • 3.4. Other Useful Diagrams
  • 3.5. Hard System Diagrams and Messy Situations
  • 3.6. Element, Relationship, and Boundary Identification
  • 3.7. Conclusion
  • Problems
  • Four. Systems and Measurement
  • 4.1. Introduction
  • 4.2. The Nature of Measurement
  • 4.3. Scales of Measurement
  • 4.4. Problems Associated with Measurement
  • 4.5. Conclusion
  • Problems
  • Five. Systems View of Management and the Organization
  • 5.1. Introduction

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