The Asia Pacific has emerged as one of the most dynamic regions in the world, presenting a variety of social and economic experiences and responses to global pressures. In this book twelve country case studies explore the ways in which national science, technology and innovation policies are evolving in response to globalization. The editors argue that the national innovation system (NIS) perspective is driving policy regimes toward new approaches in policy intervention. Underlying the new policy agenda is a concern with reframing the role for science, technology and innovation institutions including higher education and integrating local community, national and global technology objectives.Presenting a broad analysis, the book will be of great interest to policy analysts and practitioners concerned with science, technology and innovation policy. It will also appeal to academic and postgraduate students concerned with innovation and industrial development, as well as scholars and practitioners engaged in regional development and international business in the Asia pacific region.

This book provides a unique set of empirical and theoretical analyses on the conditions, determinants and effects of the exchange and trade of technological knowledge. This work delivered by the research team lead by Bernard Guilhon shows that technological knowledge is more and more traded and exchanged in the market place. When and where contractual interactions are implemented by an institutional set-up which makes_the exchange better reliable for both parties. The new evidence provided by the book moreover makes it possible to appreciate the positive role of major knowledge rent externalities provided by the new quasi-markets for technological knowledge. Trade in technological knowledge leads in fact, as the book shows, to higher levels of division of labor, specialization and efficiency in the production and distribution of new technological knowledge. This dynamics is considered a part of a broader process where the generation of technological knowledge is itself becoming closer to the production of goods so that the division of labour among learning organization plays a growing role. Exchange of technological knowledge takes part because the conditions for appropriability are now far better that currently assumed by a large traditional literature. The analysis carried out through the book builds upon the notion of localized technological knowledge and suggests that the exchange of technological knowledge is not a spontaneous 'atmospheric' process.

This report examines digitalisation’s effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish.

I was asked recently to prepare an independent background report on the subject of priority assessment in science and technology policy for the Australian Science and Technology Council. The Council (while not necessarily endorsing this book) suggested that a wider audience could be interested in the type of material contained in my report and kindly gave me permission to publish the material in my own right. The present book contains this and other material, some of which was presented at a seminar on National Science Policy: Implications for Government Departments arranged by the Department of Science and the Environment. Additional ideas were developed in response to comments on the manuscript by referees, as a result of discussions with Professor John Metcalfe and Dr Peter Stubbs of Manchester University, a conversation with Dr Keith Hartley of the University of York and in the wake of a communication from Dr Ken Tucker, Assistant Director, Bureau of Industry Economics, Australia. Science and technology policy affects and concerns everyone of us if for no other reason than we cannot escape in this interdependent world from the economic, social and environmental overs pills generated by science and technology. We must face the problems and promises inherent in new and existing science and technology whether we like it or not. Not surprisingly this book finds that all industrialized countries seem to be facing similar economic and social problems.

The National Science Foundation developed the Science of Science and Innovation Policy program (SciSIP) in 2006 to fund basic and applied research that bears on and can help guide public- and private-sector policy making for science and innovation. By design, SciSIP has engaged researchers from many domains in the development of a community of practice who work together to continually develop frameworks, tools, and datasets for implementing science and innovation policy. Since its inception, the SciSIP program has funded more than 150 researchers and their graduate students. The program also contributed to the initiation of the STAR METRICS (Science and Technology for America's Reinvestment: Measuring the Effect of Research on Innovation, Competitiveness and Science) program, a collaborative effort between the National Science Foundation and the National Institutes of Health. The STAR METRICS program develops tools and mechanisms for measuring federal expenditures on scientific activities, with particular focus on quantifying productivity and employment outcomes. Science of Science and Innovation Policy summarizes a public conference convened by the Committee on National Statistics of the National Academy of Sciences/National Research Council to present research funded by SciSIP and foster intellectual exchange among funded researchers, science, technology, and innovation policy practitioners, and other members of the science community. The conference highlighted advances in the emerging field of the science of science and innovation policy, in particular, models, frameworks, tools, and datasets comprising the evidentiary basis for science and innovation policy. This report focuses on return on investment models; organizational structures that foster accelerated scientific productivity; linkages between commercialized scientific knowledge and job creation; the roles of universities and government in technology transfer and innovation; technology diffusion and economic growth; non-economic impacts of science and innovation expenditures; regional and global networks of knowledge generation and innovation; mechanisms for encouraging creativity and measuring outputs and outcomes from transformative research; and development, manipulation and visualization of data representing scientific activities.

This important book is about the origins and diffusion of innovation, in theory and in practice. The practice draws on a variety of industries, from electronics to eyewear, from furniture to mechatronics, in a range of economies including Europe, USA and China.

This monograph weaves together a history of theories of the diffusion of innovations in selected academic disciplines, tracing the influence of these theories in the formulation of national science and technology policies for 1960 to present. The monograph moves along two main warps - disciplinary traditions of diffusion research and a synoptic history of U.S. science and technology policy - weaving them together at times and in places to demonstrate both their singular threads and crisscrossing patterns.Given the monograph's shifting focus back and forth between intellectual history and science and technology policy history over a 50+ year time period, it is useful to first set out the organization. Section 2 describes the concurrent rapid conceptual development and empirical testing in the 1960-1970s of models of diffusion of innovation in economics, geography, political science, and organizational theory that arose alongside but often in competition with prior "traditions of research" in (rural) sociology and anthropology, and the intra- and interdisciplinary battles over competing theories of diffusion for theoretical/disciplinary hegemony and policy relevance. Section 3 shifts from intellectual history to science and technology history. Section 4 describes the shifts beginning in the 1980s and continuing since then in policy agendas, conceptual models, and framing of U.S. science and technology policies and among OECD nations towards economic growth and competitiveness. Section 5 examines the re-emergence in assorted forms of academic interest and external funding in diffusion research circa 2000 to the present, also noting the current limited ties between this research and science and technology policy formulation.