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.

From the winner of the INCOSE Pioneer Award 2022 The world has become increasingly networked and unpredictable. Decision makers at all levels are required to manage the consequences of complexity every day. They must deal with problems that arise unexpectedly, generate uncertainty, are characterised by interconnectivity, and spread across traditional boundaries. Simple solutions to complex problems are usually inadequate and risk exacerbating the original issues. Leaders of international bodies such as the UN, OECD, UNESCO and WHO — and of major business, public sector, charitable, and professional organizations — have all declared that systems thinking is an essential leadership skill for managing the complexity of the economic, social and environmental issues that confront decision makers. Systems thinking must be implemented more generally, and on a wider scale, to address these issues. An evaluation of different systems methodologies suggests that they concentrate on different aspects of complexity. To be in the best position to deal with complexity, decision makers must understand the strengths and weaknesses of the various approaches and learn how to employ them in combination. This is called critical systems thinking. Making use of over 25 case studies, the book offers an account of the development of systems thinking and of major efforts to apply the approach in real-world interventions. Further, it encourages the widespread use of critical systems practice as a means of ensuring responsible leadership in a complex world. The INCOSE Pioneer Award is presented to someone who, by their achievements in the engineering of systems, has contributed uniquely to major products or outcomes enhancing society or meeting its needs. The criteria may apply to a single outstanding outcome or a lifetime of significant achievements in effecting successful systems. Comments on a previous version of the book: Russ Ackoff: ‘the book is the best overview of the field I have seen’ JP van Gigch: ‘Jackson does a masterful job. The book is lucid ...well written and eminently readable’ Professional Manager (Journal of the Chartered Management Institute): ‘Provides an excellent guide and introduction to systems thinking for students of management’

Product design is characterized by a steady increase in complexity. The main focus of this book is a structural approach on complexity management. This means, system structures are considered in order to address the challenge of complexity in all aspects of product design. Structures arise from the complex dependencies of system elements. Thus, the identification of system structures provides access to the understanding of system behavior in practical applications. The book presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems. The methodology allows significant improvements on handling system complexity by creating improved system understanding on the one hand and optimizing product design that is robust for system adaptations on the other hand. Developers can thereby enhance project coordination and improve communication between team members and as a result shorten development time. The practical application of the methodology is described by means of two detailed examples.

Providing a critique of the ways that complexity theory has been applied to understanding organizations, and outining a new direction, this book calls for a radical re-examination of management thinking.

Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.

Michael Marti presents a complexity management model that is based on the reasoning that product architecture determines to a considerable extent how external complexity is translated into physical products. The model demonstrates a procedure to optimize a product’s architecture and is applied to several industrial products.

What is complexity science? What is management? And how are the two linked? The potential of complexity science in the fields of management and organization studies has been explored before, yet there is little agreement on what complexity science truly is. Lissack and Rivkin, along with a panel of distinguished academics and executives, identify critical topics in the study of complexity science. They reveal complexity science to be a process, one seeking and understanding of the systems we inhabit, and ways of applying that understanding to the management of organizations. Complexity science is not a management fad, and the authors do not treat it as such. Instead, they offer useful and fascinating viewpoints on how work is managed in an age of business uncertainty, and how it can be more successfully managed with the aid of this rapidly evolving new field of science. Their multidisciplinary book combines systems theory, statistical modeling, and individual and organizational learning in an innovative new context. The volume takes a pragmatic approach: if it works, it's right. And complexity science, say the authors, work extremely well. This book is an important resource for upper level executives, specialists in organizational behavior, and their colleagues in the academic community.