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.

Gathering some of the latest research in the field, the original essays collected here 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.

This is the substantive scholarly work to provide a map of the state of art research in the growing field emerging at the intersection of complexity science and management studies.

Gathering some of the latest research in the field, the original essays collected here 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.

First published as a special issue of Policy & Politics, this updated volume explores the intersections between governance and media in western democracies, which have undergone profound recent changes. Many governmental powers have been shifted toward a host of network parties such as NGOs, state enterprises, international organizations, autonomous agencies, and local governments. Governments have developed complex networks for service delivery and they have a strategic interest in the news media as an arena where their interests can be served and threatened. How do the media relate to and report on complex systems of government? How do the various governance actors respond to the media and what are the effects on their policies? This book considers the impact of media-related factors on governance, policy, public accountability and the attribution of blame for failures.

What are the roles of governments and other actors in solving, or alleviating, collective action problems in today’s world? The traditional conceptual frameworks of public administration and public policy studies have become less relevant in answering this question. This book critically assesses traditional conceptual frameworks and proposes an alternative: a complex governance networks (CGN) framework. Advocating that complexity theory should be systematically integrated with foundational concepts of public administration and public policy, Göktuğ Morçöl begins by clarifying the component concepts of CGN and then addresses the implications of CGN for key issues in public administration and policy studies: effectiveness, accountability, and democracy. He illustrates the applicability of the CGN concepts with examples for the COVID-19 pandemic and metropolitan governance, particularly the roles of business improvement districts in governance processes. Morçöl concludes by discussing the implications of CGN for the convergence of public administration and public policy education and offering suggestions for future studies using the CGN conceptualization. Complex Governance Networks is essential reading for both scholars and advanced students of public policy, public administration, public affairs, and related areas.

It has been conventional among co-management scientists to view social-ecological systems and actors and institutions found in these systems monolithically. Such a view is simplistic and conceals the complex nature of social-ecological systems and associated institutions and actors. In essence, a social-ecological system is a complex system comprised of multiple, diverse and dynamic social-ecological units, players and rules. This book entitled Co-managing complex social-ecological systems unveils the aforementioned complexity in which Lake Jipe wetland in Tanzania is the central case. This case depicts intra-, inter- and cross-scale interactions among multiple and dynamic institutions, actors and ecological systems at different dimensions of space and time. While some candidates of actors and institutions play separate roles, others play interdependent and linking roles across the multiple sectoral social-ecological units. The book introduces the layering concept of institutions and actors in three sectoral arrangements at Lake Jipe. It argues that not only do the institutions and actors found in social-ecological systems operate next to one another but it becomes clear that they also work interdependently. This concept extends the existing knowledge of co-management practitioners and scholars about the diversity and complexity of inter-linked human-environment systems that traverse the current monolithic view and conceptual boundaries. As such, the book avoids a simplistic approach that may end up in superficial treatment of complex environmental management problem and sheds light on how to study and approach intricate social-ecological systems using a model that recognises the diversities of these intricate systems.