In Economics, networks are increasingly used to describe the many links created between independent companies, as well as between them and other institutions (universities, banks, venture capital, etc.). In the current global and knowledge-based economy, they can be characterised as knowledge factories and knowledge boosters. They feed the internal processes of innovation (collaborative innovation) or the external processes of innovation, created by the propagation effects that come from inter-firm collaboration. The book explains how innovation networks are at the origin of the production of new knowledge that will be transformed and used in common as well as in separated production processes. This characteristic of networks as knowledge factories gives incentives to further investment in the production of knowledge and ensures the cumulativeness of the innovation process. Some of the authors clearly take a territorial point of view and study how clusters (in different parts of the world: Europe, Eastern Asia and North America) propelled by the quality of the innovation networks they enclose, can be characterised as knowledge pools into which the local actors will be able to draw to reinforce their individual and collective competitiveness. This book also includes analyses of the quality of the networks built within clusters, which may help their identification.

This book offers an innovative examination of how ‘low–technology’ industries operate. Based on extensive fieldwork in India, the book fuses economic and sociological perspectives on information sharing by means of informal interaction in a low-technology cluster in a developing country. In doing so, the book sheds new light on settings where economic relations arise as emergent properties of social relations. This book examines industrial innovation and microeconomic network behaviour among producers and clusters, perceiving knowledge diffusion to be a socially-spatial, as much as a geographically spatial, phenomenon. This is achieved by employing two methods – simulation modelling, and (quantitative, qualitative, and historical) social network analysis. The simulation model, based on its findings, motivates two empirical studies – one descriptive case and one network study – of low-tech rural and semi-urban traditional technology clusters in Kerala state in southern India. These cases demonstrate two contrasting stories of how social cohesion either supports or thwarts informal information sharing and learning. This book pushes towards an economic-sociology approach to understanding knowledge diffusion and technological learning, which perceives innovation and learning as being more social processes than the mainstream view perceives them to be. In doing so, it makes a significant contribution to the literature on defensive innovation and the role of networks in technological innovation and knowledge diffusion, as well as to policy studies of Indian small firm and traditional technology clusters.

The relationship between innovation, networks and localities is of central concern for many nations. However, despite increasing interest in the components of this research triangle, efforts in these fields are hampered by a lackofconceptual and empirical insights. This volume brings together contributions from a distinguished group of scholars working in different but related disciplines, and aims to provide a fresh look at this research triangle. The objective is to offer a concise overview of current developments and insights derived from recent studies in Europe and North America. All of the contributions are based on original research undertaken in the various regions and nations and are published here for the first time. We are grateful to all those who have contributed to this volume for their willingness to participate in the project. Without their co-operation this book would not have been possible. We should like, in addition, to thank Angela Spence for her careful linguistic editing and assistance in co-ordinating the production of the camera ready copy. Lastly, but not least, we wish to express our gratitude for support from our home institutions, and in particular the Austrian Academy of Sciences (Institute for Urban and Regional Research), the Austrian Ministry for Science and Transport, the Styrian Government (Section for Science and Research) and the Federation of Austrian Industry in Styria for the financial backing received. April 1999 Manfred M.

This book shows how technology policy makers in OECD countries are making practical use of the concept of clusters and suggests how government policies to foster innovation might best be refocused.

Migration is conceived differently in Europe compared with countries like the US, Canada or Australia. International Innovation Networks and Knowledge Migration confronts traditional views on migration with modern theories of brain circulation and innovation networks, showing that migration leads to mutual benefits for both the home and host countries This new volume brings together several case studies and empirical in-depth analyses which are constructed from the strong migration relationship between Turkey and Germany that has existed for more than 50 years. Bringing together over 20 international contributors, this book highlights that knowledge migration and cultural diversity can strongly stimulate entrepreneurial activities, competence acquisition and economic development of countries and regions. The authors highlight the considerable scope for improvement of European migration policies in order to be better prepared to successfully process structural changes stemming from an aging society in Europe, and an increasing international division of labour. This volume is suitable for those who study industrial economics, international economics and European economics. It is also of interest to those who want to delve deeper into the Turkish-German migration nexus.

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 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.

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

The rise of Asia, as well as the future of regional cooperation and integration (RCI) the world over, will be profoundly influenced by the challenges of slowing productivity growth, increasing economic inequalities and systemic vulnerabilities. Such structural reform issues will require RCI policies that complement domestic policy reform. This unique book explains what drives the regional economic integration of nations and their contribution to national knowledge capital. It also lays out how such beneficial integration can generate broad-based, equitable wealth in Europe and Asia. Unique in the regional economic integration literature, this comprehensive book identifies the set of drivers of integration for productivity growth. Importantly, it describes and compares the experiences of the Baltic Sea Region with Asia’s use of a set of institutionalized consensual knowledge and decision tools to drive inclusive and productive growth throughout a period dominated by the global economic crisis. Original and enlightening, Innovation Networks and the New Asian Regionalism will be vital reading for academics and researchers interested in regional integration and innovation. Policy makers and practitioners in regional development and economic geography will also find it to be an invaluable resource.

Regional developers and network administrators are proud of having the largest number of registered network participants and clicks on their internet platform. However, what ultimately counts are the real business contacts that lead to additional sales, sustainable supplier-relationships, or to innovation projects leading to sustainable competitive advantages for companies and regions. Thomas Bentivegna focuses on ad-hoc networks, which are poorly represented in existing network and innovation literature. He identifies, classifies and categorizes different innovation network types operating in 5 European countries (Switzerland, Germany, England, Ireland, and France) based on data collected from 28 firms. He shows how a basic understanding of the types of innovation networks which are operating in North-West Europe, as well as the typical firm profile for each one, can be an effective tool in helping to support the agenda of several different key innovation actors.