Tobias Buchmann analyzes innovation network dynamics in the German automotive industry. The study is based on a model for analyzing the complex evolution of innovation networks and the driving mechanisms underlying network evolution derived from theoretical and empirical findings in innovation economics, economic geography and management science. The author uses established social network analysis (SNA) techniques and combines them with recent methodological developments in the analysis of network evolution.
This volume covers the topic of innovation in three sections, first demonstrating that processes of innovation and technological change are spatially differentiated, second examining the increasing importance of knowledge creation and diffusion, and third raising key issues related to the systems of innovation approach as a conceptual framwork for regional innovation analysis. Includes enlightening conceptual and empirical work on the issue of how knowledge spills over locally.
This book brings together original research on the role of networks in regional economic development and innovation. It presents a comprehensive framework synthesizing extant theories, a palette of real-world cases in the aerospace, automotive, life science, biotechnology and health care industries, and fundamental agent-based computer models elucidating the relation between regional development and network dynamics. The book is primarily intended for researchers in the fields of innovation economics and evolutionary economic geography, and particularly those interested in using agent-based models and empirical case studies. However, it also targets (regional) innovation policy makers who are not only interested in policy recommendations, but also want to understand the state-of-the-art agent-based modeling methods used to experimentally arrive at said recommendations.
This book employs an interdisciplinary approach to analyze innovation in entrepreneurship networks from a European perspective, focusing on the best methods for combining old and new knowledge.
This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process, change is affected and sometimes constraint by many factors, including knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions.
Innovation networks are a major source for acquiring new information and knowledge and thus for supporting innovation processes. Despite the many theoretical and empirical contributions to the explanation of networks, many questions still remain open. For example: How can networks, if they do not emerge by their own, be initiated? How can fragmentation in innovation systems be overcome? And how can networking experience from market economies be transferred to the emerging economies of Central and Eastern Europe? By presenting a selection of papers which address innovation networking from theoretical and political viewpoints, the book aims at giving answers to these questions.
Innovations are adopted when users integrate them in meaningful ways into existing social practices. Histories of major technological innovations show that often the creative initiative of users and user communities becomes the determining factor in the evolution of particular innovations. The evolutionary routes of the telephone, the Internet, the World Wide Web, email, and the Linux operating system all took their developers by surprise. Articulation of these technologies as meaningful products and systems was made possible by innovative users and unintended resources. Iterative and interactive models have replaced the traditional linear model of innovation during the last decade. Yet, heroic innovators and entrepreneurs, unambiguous functionality of products, and a focus on the up-stream aspects of innovation still underlie much discussion on innovation, intellectual property rights, technology policy, and product development. Coherent conceptual, theoretical and practical conclusions from research on knowledge creation, theory of learning, history of technology, and the social basis of innovative change have rarely been made. This book argues that innovation is about creating meaning; that it is inherently social; and is grounded in existing social practices. To understand the social basis of innovation and technology development we have to move beyond the traditional product-centric view on innovations. Integrating concepts from several disciplinary perspectives and detailed analyses of the evolution of Internet-related innovations, including packet-switched computer networks, World Wide Web, and the Linux open source operating system, the book develops foundations for a new theoretical and practical understanding of innovation. For example, it shows that innovative development can occur in two qualitatively different ways, one based on evolving specialization and the other based on recombination of existing socially produced resources. The expanding communication and collaboration networks have increased the importance of the recombinatory mode making mobility of resources, sociotechnical translation mechanisms, and meaning creation in communities of practice increasingly important for innovation research and product development.
This book is at the cutting edge of the ongoing ‘neo-Schumpeterian’ research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation.
This text has been written for a course in technology and innovation. It covers contemporary research by using a combination of text, readings, and cases. Based on reviewer response to a survey, the authors have updated many of the cases that instructors found outdated or lacking. Classic cases such as Claire McCloud have been kept, while newer cases such as Intel Corporation in 1999 have been added. There is also a strong set of readings from sources such as Harvard Business Review, California Management Review, and Sloan Management Review.
