Mary Lee Rhodes - Böcker

This book reframes theoretical, methodological and practical approaches to public administration by drawing on complexity theory concepts. It aims to provide alternative perspectives on the theory, research and practice of public administration, avoiding assumptions of traditional theory-building. The contributors explain both how ongoing non-linear interactions result in macro patterns becoming established in a complexity-informed world view, and the implications of these dynamics. Complexity theory explains the way in which many repeated non-linear interactions among elements within a whole can result in processes and patterns emerging without design or direction, thus necessitating a reconsideration of the predictability and controllability of many aspects of public administration.As well as illustrating how complexity theory informs new research methods for studying this field, the book also shines a light on the different practices required of public administrators to cope with the complexity encountered in the public policy and public management fields. This book was originally published as a special issue of the Public Management Review journal.

That public services exhibit unpredictability, novelty and, on occasion, chaos, is an observation with which even a casual observer would agree. Existing theoretical frameworks in public management fail to address these features, relying more heavily on attempts to eliminate unpredictability through increased reliance on measurable performance objectives, improved financial and human resource management techniques, decentralisation of authority and accountability and resolving principal-agent behaviour pathologies. Essentially, these are all attempts to improve the ‘steering’ capacity of public sector managers and policy makers.By adopting a Complex Adaptive Systems (CAS) approach to public services, this book shifts the focus from developing steering techniques to identifying patterns of behaviour of the participants with the ultimate objective of increasing policy-makers’ and practitioners’ understanding of the factors that may enable more effective public service decision-making and provision. The authors apply a CAS framework to a series of case studies in public sector management to generate new insights into the issues, processes and participants in public service domains.

That public services exhibit unpredictability, novelty and, on occasion, chaos, is an observation with which even a casual observer would agree. Existing theoretical frameworks in public management fail to address these features, relying more heavily on attempts to eliminate unpredictability through increased reliance on measurable performance objectives, improved financial and human resource management techniques, decentralisation of authority and accountability and resolving principal-agent behaviour pathologies. Essentially, these are all attempts to improve the ‘steering’ capacity of public sector managers and policy makers.By adopting a Complex Adaptive Systems (CAS) approach to public services, this book shifts the focus from developing steering techniques to identifying patterns of behaviour of the participants with the ultimate objective of increasing policy-makers’ and practitioners’ understanding of the factors that may enable more effective public service decision-making and provision. The authors apply a CAS framework to a series of case studies in public sector management to generate new insights into the issues, processes and participants in public service domains.

This book reframes theoretical, methodological and practical approaches to public administration by drawing on complexity theory concepts. It aims to provide alternative perspectives on the theory, research and practice of public administration, avoiding assumptions of traditional theory-building. The contributors explain both how ongoing non-linear interactions result in macro patterns becoming established in a complexity-informed world view, and the implications of these dynamics. Complexity theory explains the way in which many repeated non-linear interactions among elements within a whole can result in processes and patterns emerging without design or direction, thus necessitating a reconsideration of the predictability and controllability of many aspects of public administration.As well as illustrating how complexity theory informs new research methods for studying this field, the book also shines a light on the different practices required of public administrators to cope with the complexity encountered in the public policy and public management fields. This book was originally published as a special issue of the Public Management Review journal.

The rise and spread of Covid-19 in the beginning of 2020 presents a once-in-a-century challenge and opportunity for decision makers, managers, scholars, and citizens to understand the risks, mitigate its impact and prepare for future crises. Drawing on a global network of scholars, this book presents a comparative analysis of ten nations’ response to a global pandemic, while operating nominally under the framework of the World Health Organization. The book introduces the concept of ‘collective cognition’ as an analytic lens for examining the nations’ response to Covid-19 during the first six months of the emerging pandemic (January – June 2020) and draws out insights for improving systems of global risk management. This book addresses four primary audiences: policy-makers and leaders in nations struggling to contain viruses while guiding their societies under threat; academic researchers, students, and educators engaged in preparing the next generation of professionals committed to investigating emerging risk: managers of non-profit and private organizations that operate and maintain the networks of social, technical, and economic services that are essential to functioning communities; and the informed general public interested in understanding this extraordinary sequence of events and in managing the novel risk of COVID-19 in a more informed, responsible way.