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基本説明
Explains how non-linear dynamics, self-organisation of many agents and the co-evolution of processes combine to generate the evolution of governance processes, especially for public urban and metropolitan investments.
Full Description
Advances in public management sciences have long indicated the empirical finding that the normal state of public management systems is complex and that its dynamics are non-linear. Complex systems are subject to system pressures, system shocks, chance events, path-dependency and self-organisation. Arguing that complexity is an ever-present characteristic of our developed societies and governance systems that should be accepted, understood and adopted into management strategies, the original essays collected in this book aim to increase our understanding of complex governance processes and to propose new strategies for how public managers can deal with complexity in order to achieve high-quality research.
The authors collected here use theoretical frameworks grounded in empirical research to analyze and explain how non-linear dynamics, self-organisation of many agents and the co-evolution of processes combine to generate the evolution of governance processes, especially for public urban and metropolitan investments. Managing Complex Governance Systems: Dynamics, Self-Organization and Coevolution in Public Investments offers readers an increased understanding of the main objective of public management in complexity--namely complex process system--and a strategy for accepting and dealing with complexity based on the idea of dual thinking and dual action strategies satisfying the desires of controlling processes and the need to adjust to changes simultaneously.
Contents
List of Figures. List of Tables. List of Maps. Preface. 1. An Introduction to Understanding and Managing Complex Process Systems. Geert R. Teisman, Lasse Gerrits, Arwin Van Buuren. 2. Complexity Theory and Public Administration: A Critical Appraisal. Erik-Hans Klijn, Ig Snellen. 3. Approaches to Researching Complexity in Public Management. Jean-Marie Buijs, Jasper Eshuis, David Byrne. 4. Appearances and Sources of Process Dynamics; the Case of Infrastructure Development in the UK and the Netherlands. Geert R. Teisman, Eddy Westerveld, Marcel Hertogh. 5. Non-Linear Dynamics in Port Systems: Change Events at Work. Marcel Van Gils, Lasse Gerrits, Geert R. Teisman. 6. Metropolitan Regions as Self-Organizing Systems. Jean-Marie Buijs, Nancy Van Der Bol, Geert R. Teisman, David Byrne. 7. The Complexity of Self-Organization: Boundary Judgments in Traffic Management. Bonno Pel. 8. Coevolution: A Constant in Non-Linearity. Lasse Gerrits, Peter Marks, Arwin Van Buuren. 9. Public Policy-Making and the Management of Coevolution. Arwin Van Buuren, Lasse Gerrits, Peter Marks. 10. Managing Complex Process Systems: Surviving at the Edge of Chaos. Jurian Edelenbos, Erik-Hans Klijn, Michiel Kort. 11. Dealing with Complexity through Trust and Control. Jurian Edelenbos, Jasper Eshuis. 12. Complexity Theory and Evolutionary Public Administration: A Sceptical Afterword. Christopher Pollitt. 13. Towards an Approach of Evolutionary Public Management. Frank Boons, Arwin Van Buuren, Lasse Gerrits, Geert R. Teisman. Contributors. Notes. Index.
