Dynamics Of Innovation

Presents a fresh look at how innovation transforms industries, raising the fortunes of some firms while destroying others. This book asserts that several organizations must consistently abandon past success and embrace innovation - even when it undermines their traditional strengths.

In developing this model, Utterback examines industries over long periods of time to discover patterns in the way innovation is introduced, adopted, and then replaced by yet further innovation.

Best known as the leading historian of French railways, François Caron has also done significant work on topics as varied as electricity, water and steam power, the theory of innovation, the structure of enterprise, and other aspects of economic development in the nineteenth and twentieth centuries. In this volume, he brings together these different facets of his expertise in order to present a broad panorama of modern technology. Caron shows how artisanal know-how was adapted, expanded, and formalized during the three industrial revolutions that swept over Great Britain, France, Germany, and the United States in a comprehensive analysis of this long, complex, and continuous historical process, leading up to the twenty-first century. Thus, he illustrates the increasingly fruitful interaction between technological and scientific knowledge in modern times.

The social dynamics of innovation networks captures the important role of trust, social capital, institutions and norms and values in the creation of knowledge in innovation networks. In doing so, this book connects to a long-standing debate on the socio-spatial context of innovation in economic geography, which is usually referred to as the Territorial Models of Innovation (TIMs) literature. This present volume breaks with the TIM literature in several important ways. In the first place, this book emphasizes the role of individual agency because individuals and their networks are increasingly recognized as the principal agents of knowledge creation. Secondly, this volume looks at space as a continuous field of opportunity rather than as bounded territory with a set of endowments, such as knowledge base and social capital. Although individually these elements are not new to the TIM literature, it has thus far failed to grasp their critical implication for studying the social dynamics of innovation networks. The approach to the socio-spatial context of innovation in this volume is summarized as Knowledge Economy 2.0. It emphasizes that human creativity is now the main source of economic value and that human creativity and knowledge creation is not an organized process within organizations, but happens bottom up in formal and informal professional and social networks of individuals that cut across multiple organizations.

"This book examines the nature of the process of technological change in different sectors of various countries, analyzing the impact of innovation as well as research and development activities on different outcomes in different fields and assessing the design and impact of policies aimed at enhancing innovation in organizations"--Provided by publisher.

This volume intends to give an insight into progress in the field of studies on modern science and technology. Researchers from Sweden, Japan and Germany began a "three country comparative study" in 1984. One of the primary aims of this study group was to better take account of the increasing importance of Japan in both analytical work and technology policy. To this end, researchers from the Research Policy Institute (RPI) at the University of Lund, the Graduate School of Policy Science at Saitama University in Urawa, and the Fraunhofer Institute for Systems and Innovation Research in Karlsruhe met almost every year with policy makers from the three countries, in order to see how well the scientific debate is reflected in the interests of practitioneers in the related policies. The cooperation with the Swedish Board for Technical Development (STU)!, the Japanese Ministry of Education, Science and Culture (Monbusho), and the German Federal Ministry for Research and Technology (BMFT) brought about numerous "grey" papers, publications and two volumes of seminar proceedings. The first book2 deals with the problems of measuring technological change and summarizes tentative research plans from our first meetings. I concluded then, in November 1986, that "quantitative results are to be checked in a qualitative discursive process with the involved people. ( . . . ) The interaction of various indicators raises the pressure of argument and credibility. Case studies in dynamic fields of technology ideally supplement quantitative approaches.

Innovation is the motor of economic change. Over the last fifteen years, researches in innovation processes have emphasised the systemic features of innovation. Whilst innovation system analysis traditionally takes a static institutional approach, cluster analysis focuses on interaction and the dynamics of technology and innovation. First, the volume gives an overview of the different levels of analysis from which the innovation behaviour of firms has been observed in the past. The book then presents a distinct cluster approach as a useful and innovative tool to analyse the configuration and dynamics of networks of actors involved in innovative processes. This approach emphasises the possibilities of enhancing cluster benefits by introducing virtual links between cluster actors. Empirical evidence is provided for the automotive components and the telecommunication industries. By restricting the discussion to Germany and Italy, the authors are able to explore the role that national innovation systems play as a framework in which clusters operate.

"This unique study investigates the path of innovation in the electrical, electronics and communications engineering industries. It presents a holistic, multi-disciplinary analysis of innovation based on case studies of paradigm-changing inventions - spanning two hundred years - which altered the course of the global economy. The stimuli and constraints which control the dynamics of these innovations are pin-pointed in this book and applied to emerging technologies. Roger Cullis tests the analysis using a recent technology which underpins the embryonic information-based economy. He demonstrates that it is possible to use the hierarchical and time dependent nature of the stimuli and constraints he has identified to predict the likely success of a new technological invention. Considering the impact of all factors which contribute to the success of innovations, this unique book will be of great interest to inventors, patent attorneys and intellectual property practitioners and academics. It will also interest licensing executives and venture capitalists, innovation economists and government policymakers. -- Book jacket.