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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