Innovation Policy In The Knowledge Based Economy

Scholars in the science and technology field have not collectively questioned, much less proposed, an agenda for policy makers. Now is an appropriate time for such an undertaking. First, there is a growing belief that the U.S. national research and development system, like that of many industrial nations, is changing due to global competitive pressures and advancements in information technology and electronic commerce. Second, industry's R&D relationship with the academic research community is changing not only because of the global competition but also because of alterations in the level of government support of fundamental research. As a result, policy makers will need to rethink their approaches to science and technology issues. This volume is a collection of essays by scholars about innovative policy in the knowledge-based economy. By knowledge-based economy we mean one for which economic growth is based on the creation, distribution, and use of technology. As such, innovation policy in such an economy must enhance the creation, distribution, and use of knowledge that leads to the creation, distribution, and use of technology. This volume considers elements of an innovation policy: innovation policy and academic research, innovation policy in electronic commerce, and innovation policy and globalization issues.

Patrick Llerena and Mireille Matt BETA, Strasbourg, E-mail: pllerena@coumot. u-strasbg. fr BETA, Strasbourg, E-mail: matt@coumot. u-strasbg. fr 0. 1 Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson (1959)^ and Arrow (1962)^ saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic.

This timely book brings together cutting-edge research on the important subject of science and innovation (S&I) policies. The contributors - distinguished social science scholars - tackle the key challenges of designing and implementing public policies in the context of the new knowledge economy. They provide an extensive overview of the most advanced methods for designing, monitoring, and evaluating S&I policies, and analyse current applications in a wide-ranging selection of fields along the innovation supply chain, from legal and institutional landscapes to the industrial sector. Topics dis.

There is wide consensus on the importance of knowledge for economic growth and local development patterns. This book proposes a view of knowledge as a collective, systemic and evolutionary process that enables agents and social systems to overcome the challenges of the limits to growth. It brings together new conceptual and empirical contributions, analysing the relationship between demand and supply factors and the rate and direction of technological change. It also examines the different elements that compose innovation systems. The Economics of Knowledge, Innovation and Systemic Technology Policy provides the background for the development of an integrated framework for the analysis of systemic policy instruments and their mutual interaction the socio-political and economic conditions of the surrounding environment. These aspects have long been neglected in innovation policy, as policymakers, academics and the business community, have mostly emphasized the benefits of supply side strategies. However, a better understanding of innovation policies grafted on a complexity-based approach calls for the appreciation of the mutual interactions between both supply and demand aspects, and it is likely to improve the actual design of policy measures. This book will help readers to understand the foundations and working of demand-driven innovation policies by stressing the importance of compent and smart demand.

There is wide consensus on the importance of knowledge for economic growth and local development patterns. This book proposes a view of knowledge as a collective, systemic and evolutionary process that enables agents and social systems to overcome the challenges of the limits to growth. It brings together new conceptual and empirical contributions, analysing the relationship between demand and supply factors and the rate and direction of technological change. It also examines the different elements that compose innovation systems. The Economics of Knowledge, Innovation and Systemic Technology Policy provides the background for the development of an integrated framework for the analysis of systemic policy instruments and their mutual interaction the socio-political and economic conditions of the surrounding environment. These aspects have long been neglected in innovation policy, as policymakers, academics and the business community, have mostly emphasized the benefits of supply side strategies. However, a better understanding of innovation policies grafted on a complexity-based approach calls for the appreciation of the mutual interactions between both supply and demand aspects, and it is likely to improve the actual design of policy measures. This book will help readers to understand the foundations and working of demand-driven innovation policies by stressing the importance of compent and smart demand.

Finland is known for its consistent progress in the economy and competitiveness, as well as the egalitarian society underneath it. Yet, the challenges experienced by Finland in the beginning of the 20th century were similar to those experienced by many countries today. Finland emerged as an independent nation in the midst of international economic and political turbulence. In spite of its remoteness, relative scarcity of natural resources, smallness of the home market and recent history characterized by wars and social cleavages, Finland transformed itself from an agriculture-based economy in the 1950’s into one of the leading innovation-driven, knowledge-based economies and high-tech producers in the twenty-first century. The development was rapid, and involved determined action and sometimes drastic decisions by the government and other key actors. Today, at the end of 2013, Finland is facing new types of challenges both domestically and internationally in efforts to maintain its societal sustainability and economic competitiveness. Finland Knowledge Economy 2.0 presents some of the key policies, elements, initiatives and decisions behind Finland’s path into the Knowledge Economy of today. The authors hope to provide the readers inspiration, new ideas, and novel insights. Hopefully some of the lessons learned may prove valuable in another context. Based on this account of the development of Finnish Knowledge Economy, the authors have identified six areas of lessons, each described in detail in respective chapters. The book should not be seen as a scientific all encompassing study, but rather as a “Knowledge Economy cook-book”, with practical cases, links and insights provided for further exploration.

Innovation Strategy for the Knowledge Economy is intended for managers who have practiced the best of quality and re-engineering management techniques and are ready to transform their organizations with the systematic notions of knowledge creation and application. It is for organization leaders who prefer to be inspired with innovation strategy than hit over the head with change management techniques. It does not deal with barriers, hurdles, or conflicts to be resolved; rather, it paints a possible vision of how we can take advantage of our collective learning to move an enterprise forward. This book provides the reader with a sound, practical framework for instituting innovation strategy beyond the traditional definition of flow of parts or finances. At the core is an understanding of the dual value of knowledge (content) and innovation (process) using 'real-time' learning as the methodology. Innovation Strategy for the Knowledge Economy introduces new managerial concepts such as: Value-System versus Value-Chain Strategic Business Network (SBN) versus Strategic Business Unit (SBU) Customer Success versus Customer Satisfaction It is an invaluable resource for both managers and organization leaders. Debra Mae Amidon is Founder and Chief Strategist of Entovation International, a global innovation research and consulting network with outposts throughout the world. Her specialties include: knowledge management, learning networks, customer innovation, and enterprise transformation. Ms. Amidon holds degrees from Boston University, Columbia and MIT, where she was an Alfred P. Sloan Fellow.

Innovation is increasingly recognised as the key to successful competition in the global knowledge-based economy. In Knowledge, Clusters and Regional Innovation the authors illuminate the highly differentiated nature of the innovation systems found across the country and demonstrate that innovation can occur in a wide range of sectors and clusters, ranging from multimedia and biotechnology in large metropolitan areas to more traditional sectors such as wood products in rural settings.Written by members of the Innovation Systems Research Network (ISRN), a cross-national network of regionally oriented researchers from a wide range of disciplines, Knowledge, Clusters and Regional Innovation provides important insights into the varied nature of innovation in the Canadian economy. The members of the network have recently launched a major study of cluster development across Canada that promises to provide scholars and policymakers with continuing insights into the nature economic development in Canada.Contributors include Neil Bradford (Huron University College), Shauna Brail (Ministry of Economic Development and Trade, Ontario), John N.H. Britton (University of Toronto), Michael Gurstein (Technical University of British Columbia), J. Adam Holbrook, Cooper H. Langford (University of Calgary), Lisa Mills (Brown University), Jorge Niosi (Université du Québec à Montréal), Pierre Therrien (Marketplace Innovation Directorate, Industry Canada), Diane-Gabrielle Tremblay (Université du Québec), and David A. Wolfe.