Innovation, Networks and Learning Regions? address key issues of understanding in contemporary economic geography and local economic policy making in cities and regions in the advanced economies. Developing the idea that innovation is the primary driving force behind economic change and growth, the international range of contributors stress the importance of knowledge and information as the 'raw materials' of innovation. They examine the ways in which these elements may be acquired and linked through networks, and demonstrate that there are empirical examples of innovative areas which do not have highly developed networks yet appear to be relatively successful in terms of local economic growth. In so doing, they raise crucial questions about the ways in which regions or localities might be described as truly 'learning' areas, and about the sustainability of future economic and quality of life success based on innovation and high-technology.

Innovation, Networks and Learning Regions? address key issues of understanding in contemporary economic geography and local economic policy making in cities and regions in the advanced economies. Developing the idea that innovation is the primary driving force behind economic change and growth, the international range of contributors stress the importance of knowledge and information as the 'raw materials' of innovation. They examine the ways in which these elements may be acquired and linked through networks, and demonstrate that there are empirical examples of innovative areas which do not have highly developed networks yet appear to be relatively successful in terms of local economic growth. In so doing, they raise crucial questions about the ways in which regions or localities might be described as truly 'learning' areas, and about the sustainability of future economic and quality of life success based on innovation and high-technology.

This book discusses the latest theoretical advances in regional innovation research, presents empirical cases involving the development of regional innovation systems (RISs), and explores regional innovation policy approaches. Grounded in the extensive literature on RISs, it addresses state-of-the-art developments in light of recent theoretical advances in economic geography and related disciplines. Written in honor of Bjørn Asheim's seventieth birthday, the book includes novel and carefully selected chapters prepared by collaborators, colleagues and former PhD-students of one of the founding fathers of RIS research. Further, it makes a significant contribution to the academic debate on regional innovation and growth and offers valuable insights for scholars and policymakers alike.

Introduces the learning region as a theory to explain how regional actors perform regional learning. This title presents a discussion of concepts such as regional networks and social capital. It focuses on learning between regional actors and the relations they have with one another and with other actors in their social context.

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.

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 textbook provides a theoretical and practical guide on how to manage social networks to increase innovation and improve performance.