The motivation behind this book is the desire to integrate complexity theory into economic models of technological evolution. By means of developing an evolutionary model of complex technological systems, the book contributes to the neo-Schumpetarian literature on innovation, diffusion and technological paradigms.

This volume discusses the challenge of dealing with complexity in entrepreneurship, innovation and technology research. Businesses as well as entire economies are increasingly being confronted by widespread complex systems. Fields such as entrepreneurship and innovation cannot ignore this reality, especially with their inherent links to diverse research fields and interdisciplinary methods. However, most methods that allow more detailed analyses of complex problems are either neglected in mainstream research or are, at best, still emerging. Against this backdrop, this book provides a forum for the discussion of emergent and neglected methods in the context of complexity in entrepreneurship, innovation and technology research, and also acts as an inspiration for academics across related disciplines to engage more in complexity research.

. . . in my opinion. . . readers. . . should find in this book both several remarkable insights concerning basic statements of evolutionary theorising and concrete results that can be acquired by applying such basic statements in computer simulation models and in various fields of analysis. Mauro Lombardi, The Journal of Artificial Societies and Social Simulation Complexity theory first emerged three decades or so ago, but only recently has its potential relevance for the study of social and economic phenomena really begun to be recognised. This timely collection of essays clearly demonstrates, both conceptually and empirically, how complexity theory ideas can provide considerable insight into how socio-economic systems cities, societies, industries, technologies and economies evolve and adapt over time. It is essential reading for anyone interested in how order and evolution emerge out of the seemingly chaotic socio-economic world around us. Ron Martin, University of Cambridge, UK I read Complexity and Co-Evolution with real pleasure. These authors have done the near impossible they have made the concepts of a new and evolving science accessible to people who can apply it in practical ways. The clarity of writing reflects the sort of confidence only the truly informed can muster, for they need no jargon to cover confusions. Their mastery allows them to present the essentials in simple, unadorned forms and through genuinely illustrative examples. Any manager or director trying to navigate dynamic markets can use this book to learn new ways of thinking, explore new possibilities, and study historical experiences. Robert Artigiani, United States Naval Academy Current thinking about evolutionary dynamics increasingly relies on co-evolution, and co-evolution increasingly implies complex dynamics of one sort or another. This volume brings together a capable and well-balanced group of thinkers on these topics who explore these deeply related concepts with up-to-date and advanced tools and concepts. For anyone wishing to learn about the latest developments in these rapidly developing areas, this book is highly recommended. J. Barkley Rosser Jr., James Madison University, US This book applies ideas and methods from the complexity perspective to key concerns in the social sciences, exploring co-evolutionary processes that have not yet been addressed in the technical or popular literature on complexity. Authorities in a variety of fields including evolutionary economics, innovation and regeneration studies, urban modelling and history re-evaluate their disciplines within this framework. The book explores the complex dynamic processes that give rise to socio-economic change over space and time, with reference to empirical cases including the emergence of knowledge-intensive industries and decline of mature regions, the operation of innovative networks and the evolution of localities and cities. Sustainability is a persistent theme and the practicability of intervention is examined in the light of these perspectives. Specialists in disciplines that include economics, evolutionary theory, innovation, industrial manufacturing, technology change, and archaeology will find much to interest them in this book. In addition, the strong interdisciplinary emphasis of the book will attract a non-specialist audience interested in keeping abreast of current theoretical and methodological approaches through evidence-based and practical examples.

Innovation is nowadays a question of life and death for many of the economies of the western world. Yet, due to our generally reductionist scientific paradigm, invention and innovation are rarely studied scientifically. Most work prefers to study its context and its consequences. As a result, we are as a society, lacking the scientific tools to understand, improve or otherwise impact on the processes of invention and innovation. This book delves deeply into that topic, taking the position that the complex systems approach, with its emphasis on ‘emergence’, is better suited than our traditional approach to the phenomenon. In a collection of very coherent papers, which are the result of an EU-funded four year international research team’s effort, it addresses various aspect of the topic from different disciplinary angles. One of the main emphases is the need, in the social sciences, to move away from neo-darwinist ‘population thinking’ to ‘organization thinking’ if we want to understand social evolution. Another main emphasis is on developing a generative approach to invention and innovation, looking in detail at the contexts within which invention and innovation occur, and how these contexts impact on the chances for success or failure. Throughout, the book is infused with interesting new insights, but also presents several well-elaborated case studies that connect the ideas with a substantive body of ‘real world’ information.

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.

Ground-breaking yet non-technical analysis of the analogy that technological artefacts 'evolve' like biological organisms.

The book addresses the relationship between knowledge, complexity and innovation systems. It integrates research findings from a broad area including economics, business studies, management studies, geography, mathematics and science & technology contributions from a wide range group of international experts. In particular, it offers insights about knowledge creation and spillovers, innovation and learning systems, innovation diffusion processes and innovation policies. The contributions provide an excellent coverage of current conceptual and theoretical developments and valuable insights from both empirical and conceptual work. The reader gets an overview about the state of the art of the role of innovation systems and knowledge creation and diffusion in geographical space.

This ground-breaking new book builds upon the Schumpeterian creative response. The author shows that firms, in out-of-equilibrium conditions, try and react by means of introducing innovations. The success of their reaction is contingent upon their access conditions to knowledge, which are shaped by the system in which they operate. The emergence of new innovations can, in turn, knock firms further out-of-equilibrium and cause changes in the system properties that govern their access to external knowledge. This path dependent loop of interactions between the system properties and the individual actions of firms, accounts for endogenous innovation and the dynamics of the system.

“More than anything else technology creates our world. It creates our wealth, our economy, our very way of being,” says W. Brian Arthur. Yet despite technology’s irrefutable importance in our daily lives, until now its major questions have gone unanswered. Where do new technologies come from? What constitutes innovation, and how is it achieved? Does technology, like biological life, evolve? In this groundbreaking work, pioneering technology thinker and economist W. Brian Arthur answers these questions and more, setting forth a boldly original way of thinking about technology. The Nature of Technology is an elegant and powerful theory of technology’s origins and evolution. Achieving for the development of technology what Thomas Kuhn’s The Structure of Scientific Revolutions did for scientific progress, Arthur explains how transformative new technologies arise and how innovation really works. Drawing on a wealth of examples, from historical inventions to the high-tech wonders of today, Arthur takes us on a mind-opening journey that will change the way we think about technology and how it structures our lives. The Nature of Technology is a classic for our times.

This volume presents papers from the 10th Working Conference of the IFIP WG 8.6 on the adoption and diffusion of information systems and technologies. It explores the dynamics of how some technological innovation efforts succeed while others fail. The book looks to expand the research agenda, paying special attention to the areas of theoretical perspectives, methodologies, and organizational sectors.