Recent research on the economics of innovation has acknowledged the importance of path dependence and networks in the evolution of economies and the diffusion of new techniques, products, and processes. These are topics pioneered by Paul A. David, one of the world's leading scholars in the economics of innovation. This outstanding collection provides a fitting tribute to the diversity and depth of Paul David's contributions. The papers included range from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of the diffusion of knowledge using patent data. With an emphasis on simulation models, data analysis, and historical evidence, this book will be required reading for researchers in innovation economics and regional development as well as economists, sociologists, and historians of innovation and intellectual property.

This book re-examines the rationale for public policy, concluding that the prevailing 'public knowledge' model is evolving towards a networked or distributed model of knowledge production and use in which public and private institutions play complementary roles. It provides a set of tools and models to assess the impact of the new network model of funding and governance, and argues that governments need to adapt their funding and administrative priorities and procedures to support the emergence and healthy growth of research networks. The book goes on to explain that interdependencies and complementarities in the production and distribution of knowledge require a new and more contextual, flexible and complex approach to government funding, monitoring and assessment. The chapters in this book issue a series of challenges to the next generation of science and technology policy. The need for new systems of governance in science and innovation make a single, all encompassing rationale for public funding unnecessary and irrelevant. The new policy questions that matter concern the means and mechanisms for intervention - the use of policy to harness, support and expand the interaction and dynamism of research networks composed of public and private actors.

Recent research on the economics of innovation has acknowledged the importance of path dependence and networks in the evolution of economies and the diffusion of new techniques, products, and processes. These are topics pioneered by Paul A. David, one of the world's leading scholars in the economics of innovation. This outstanding collection provides a fitting tribute to the diversity and depth of Paul David's contributions. The papers included range from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of the diffusion of knowledge using patent data. With an emphasis on simulation models, data analysis, and historical evidence, this book will be required reading for researchers in innovation economics and regional development as well as economists, sociologists, and historians of innovation and intellectual property.

This book re-examines the rationale for public policy, concluding that the prevailing 'public knowledge' model is evolving towards a networked or distributed model of knowledge production and use in which public and private institutions play complementary roles. It provides a set of tools and models to assess the impact of the new network model of funding and governance, and argues that governments need to adapt their funding and administrative priorities and procedures to support the emergence and healthy growth of research networks. The book goes on to explain that interdependencies and complementarities in the production and distribution of knowledge require a new and more contextual, flexible and complex approach to government funding, monitoring and assessment. The chapters in this book issue a series of challenges to the next generation of science and technology policy. The need for new systems of governance in science and innovation make a single, all encompassing rationale for public funding unnecessary and irrelevant. The new policy questions that matter concern the means and mechanisms for intervention - the use of policy to harness, support and expand the interaction and dynamism of research networks composed of public and private actors.

This book provides a critical assessment of progress towards the Information Society. Drawing upon unique empirical data, this book lays the foundation for more useful theories of the process of change, and more effective strategies and policies for increasing the benefits from the Information Society. The authors provide insights into the social, economic, and political forces that are structuring the pathway to the Information Society-and its consequences for business and individuals in their everyday lives.