Although complexity makes up the very fabric of our daily lives and has been more or less addressed in a wide variety of knowledge fields, the approaches developed in the Natural Sciences and the results obtained over the past century have not yet permeated Management Sciences very much. The main features of the phenomena that the Natural Sciences deal with are: non-linear behavior, self-organization and chaos. They are analyzed with the framing of what is called “systems thinking”, popularized by the mindset pertaining to cybernetics. All pioneers in systems thinking either had direct or indirect connections with Biology, which is the discipline considered complex par excellence by the public. When applying these concepts to Operations Management Systems and modeling organizations by BDI (Beliefs, Desires, Intentions) agents, the lack of predictability in the conduct of change management that is prone to bifurcations (tipping points) in terms of organizational structures and in forecasting future activities, reveals them to be ingrained in the interplay of complexity and chaos.

This book captures current trends and developments in the field of systems thinking and soft operations research which can be applied to solve today's problems of dynamic complexity and interdependency. Such ‘wicked problems’ and messes are seemingly intractable problems characterized as value-laden, ambiguous, and unstable, that resist being tamed by classical problem solving. Actions and interventions associated with this complex problem space can have highly unpredictable and unintended consequences. Examples of such complex problems include health care reform, global climate change, transnational serious and organized crime, terrorism, homeland security, human security, disaster management, and humanitarian aid. Moving towards the development of solutions to these complex problem spaces depends on the lens we use to examine them and how we frame the problem. It will be shown that systems thinking and soft operations research has had great success in contributing to the management of complexity.

Inventing isn’t easy! After identifying and presenting the 12 "valleys of death", the real obstacles limiting the transition from an original idea to an innovative one, including the notion of socially responsible research, Knowledge Production Modes between Science and Applications 2 applies the concepts introduced in Volume 1. The book starts off with 3D printing, which has essentially broken through all barriers by offering remarkable advantages over existing mechanical technology. The situation is different for 4D printing and bio-printing. First of all, we need to tackle the complexity inherent in these processes, and move away from disciplinarity to find robust, applicable solutions, despite the obstacles. This is possible in niche areas, but currently, low profitability still limits their general applicability and the willingness of researchers to embrace interdisciplinary convergence....

Awareness of complexity in science and technology dates back to the 1970s. However, all social systems tend to develop structures that become more complex over time, be it within families, tribes, cities, states, or societal and economic organizations. Complexities 2 covers a broad array of fields, from justice and linguistics to education and organizational management. The aim of this book is to show, without aiming to provide a comprehensive overview, the diversity of approaches and behaviors towards the obstacle of complexity in understanding and achieving human actions. When we see complexity as the incompleteness of knowledge and the uncertainty of the future, we realize that simplifying is not an adequate approach to complexity, even in the humanities and social sciences. This book explores the relationship between order and disorder in this field of knowledge.

Complexity is not a new issue. In fact, in their day, William of Ockham and René Descartes proposed what can best be described as reductionist methods for dealing with it. Over the course of the twentieth century, a science of complexity has emerged in an ever-increasing number of fields (computer science, artificial intelligence, engineering, among others), and has now become an integral part of everyday life. As a result, everyone is confronted with increasingly complex situations that need to be understood and analyzed from a global perspective, to ensure the sustainability of our common future. Complexities 1 analyzes how complexity is understood and dealt with in the fields of cybersecurity, medicine, mathematics and information. This broad spectrum of disciplines shows that all fields of knowledge are challenged by complexity. The following volume, Complexities 2, examines the social sciences and humanities in relation to complexity.

Contents 11. 2. 2. Four Main Areas of Dispute 247 11. 2. 3. Summary . . . 248 11. 3. Making Sense of the Issues . . 248 11. 3. 1. Introduction . . . . 248 11. 3. 2. The Scientific Approach 248 11. 3. 3. Science and Matters of Society . 249 11. 3. 4. Summary . 251 11. 4. Tying It All Together . . . . 251 11. 4. 1. Introduction . . . . 251 11. 4. 2. A Unifying Framework 251 11. 4. 3. Critical Systems Thinking 253 11. 4. 4. Summary 254 11. 5. Conclusion 254 Questions . . . 255 REFERENCES . . . . . . . . . . . . . . . . . . . 257 INDEX . . . . . . . . . . . . . . . . . . . . . . 267 Chapter One SYSTEMS Origin and Evolution, Terms and Concepts 1. 1. INTRODUCTION We start this book with Theme A (see Figure P. I in the Preface), which aims to develop an essential and fundamental understanding of systems science. So, what is systems science? When asked to explain what systems science is all about, many systems scientists are confronted with a rather daunting task. The discipline tends to be presented and understood in a fragmented way and very few people hold an overview understanding of the subject matter, while also having sufficient in-depth competence in many and broad-ranging subject areas where the ideas are used. Indeed, it was precisely this difficulty that identified the need for a comprehensive well-documented account such as is presented here in Dealing with Complexity.

Inventing isn’t easy! In this book, twelve “valleys of death” are identified which, following a linear approach, correspond to the various obstacles that limit the various passages from an original idea to invention, and then to industrial innovation. These various limiting factors have a variety of origins: disciplined scientific training, weak general and scientific culture, New Public Management, hierarchical support, funding, evaluation, proof of concepts, complexity management, and heuristic and interdisciplinary approaches on the one hand, and attractiveness for the new on the other. After an idea is formulated, these contexts bring small elements of science into play, but above all human aspects ranging from motivation and the quality of exchanges to responsibility. In short, it is a possible dynamic way of living together to promote innovations stemming from science. This is not easy, but if the invention is profitable for society, the downstream sector can greatly facilitate the various stages of commercialization.