
Managing Complex Governance Systems
- 278 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Managing Complex Governance Systems
About this book
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.
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Information
Table of contents
- Routledge Critical Studies in Public Management
- Contents
- Figures
- Tables
- Maps
- Preface
- 1 An Introduction to Understanding and Managing Complex Process Systems
- 2 Complexity Theory and Public Administration
- 3 Approaches to Researching Complexity in Public Management
- 4 Appearances and Sources of Process Dynamics
- 5 Non-Linear Dynamics in Port Systems
- 6 Metropolitan Regions as Self-Organizing Systems
- 7 The Complexity of Self-Organization
- 8 Coevolution
- 9 Public Policy-Making and the Management of Coevolution
- 10 Managing Complex Process Systems
- 11 Dealing with Complexity through Trust and Control
- 12 Complexity Theory and Evolutionary Public Administration
- 13 Towards an Approach of Evolutionary Public Management
- Bibliography
- Contributors
- Index