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The concept of National Innovation Systems is well established in academic research and enthusiastically adopted by policymakers. Yet there are relatively few in-depth studies of individual national innovation systems. This book provides just that, a model for the application of the concept to an individual economy. Leading scholars provide a detailed analysis of the particular circumstances of Norway - a high income, high productivity, resource rich economy, with relatively modest investment in R&D, and a remarkable track record of social equity. The authors argue that investment in human capital may be more significant than any formula for R&D investment. The book includes contributions from historians, economists, and political scientists, and offers an unparalleled account of the development of one of the world's most successful economies. It will be essential reading fro academics and policymakers concerned with innovation and growth.
Rethinking Regional Innovation and Change brings together papers from leading international scholars in the field of regional development and policy. The contributors examine the interactions between path-dependent developments, institutions, and governance structures that influence regional innovation capacity. Up-to-date case studies present diverse theoretical perspectives from economics, political science, geography, planning, and public policy.
The notion and interpretation of path dependence have been discussed and utilized in various social sciences during the last two decades. This innovative book provides significant new insights onto how the different applications of path dependence have developed and evolved. The authors suggest that there has been a definite evolution from applications of path dependence in the history of technology towards other fields of social science. They also discuss the various definitions of path dependence (strong or weak) and explore the potential applications of path dependence in new areas such as political economy and economic geography. With new perspectives on how the debate surrounding path dependence has evolved, this book will strongly appeal to postgraduate students and scholars of economic history, economic geography, political science and business studies.
In several parts of the world, countries are undergoing economic, social, and political transitions, enhanced and accelerated by the forces of globalization. These transition economies can serve as laboratories for understanding the innovation process. This volume features original theoretical and empirical research. It offers the first comprehensive view of innovation system development in the context of small catching-up economies. Smallness, path dependency, and latecomer status of such economies create some inherent limitations for their innovation systems, but these special characteristics can offer advantages as well. For example, smallness is often related with increased flexibility and shorter reaction times, while latecomers can benefit from earlier experiences of their more advanced neighbors. Path-dependency highlights the fact that the innovation system development processes are considerably influenced by the past experience of a particular country or region. By incorporating these features into an integrated analysis, the authors address such questions as: · What special features characterize the innovation system development in small catching-up economies? · What are the causes for innovation success or failure? · How do organizational capabilities and internationalization tendencies relate to company level innovations? · What is the role of human capital and social factors in the innovation process? · How can various policies support innovation in an integrated manner? Drawing from research about Europe, Asia, and Latin America, the authors provide readers with a systemic view of the innovation system development in small catching-up economies. They discuss the unique features of this development and contribute to an in-depth understanding of various determinants and their impacts on the innovation process. The policy implications will offer a set of normative guidelines for enhancing innovation system development.
The editors, aware of the recent work in evolutionary theory and the science of chaos and complexity, challenge the sometimes deterministic flavor of this subject. They are interested in uncovering the place of agency in these theories that take history so seriously. In the end, they are as interested in path creation and destruction as they are in path dependence. This book is compiled of both theoretical and empirical writings. It shows relatively well-known industries, such as the automobile, biotechnology, and semi-conductor industries in a new light. It also invites the reader to learn more about medical practices, wind power, lasers, and synthesizers. Primarily written for academicians, researchers, and Ph.D. students in fields related to technology management, this book is research-oriented and will appeal to all managers.
This book offers a comprehensive perspective on policy theories, policy formulation and implementation, and alternative paradigm for dealing with complex social and economic systems. It presents insights into policies on major development sectors, including health, education, urbanization, climate change, innovation, advanced manufacturing, and economic growth. It delves into why public policies matter more than resources and are crucial for shaping the future of a country. It attempts a pioneering effort and delineates a complexity theory framework to deal with uncertainty, nonlinearity, emergence, and evolution. It comprises systems thinking, design thinking, complexity thinking, and tools for complexity analysis. Applicable to a policy system, economy, business, and organization, the complexity theory relies on phenomena like emergence, self-organizing property, adaptation, coevolution, and path dependency, in a clear departure from reductionism and Newtonian paradigm. Through academic rigor, it makes a convincing case for better understanding of application of complexity theory. It covers real-world examples and case studies related to evolution of economies of silicon valleys – Bengaluru (India) and San Francisco Bay (USA). These cases underscore the essentiality of complexity theory. In terms of policy formulations, the book contains a policy design framework covering the science of policymaking, innovative approaches, and methodology for policy design. To deal with dynamic systems, it includes a step-by-step guide for the application of system dynamics. It articulates alternative paradigm – adaptive policies and policy design; alternative theory – complexity theory; and new public organizations and institutional development for meeting the challenges of the 21st century. Aiming to reduce fuzziness, the book combines both researcher’s in-depth analysis as well as practitioner’s perspective, thus serving as a vital read for scholars of public policy, management, and economics. It emphasizes the primacy of policy process to discern deep understanding from the ground and to integrate micro-level realities and macro-level requirements. It argues for change from Weberian bureaucratic model to adaptive approaches and recommends policy system reforms, highlighting that countries should make the right policy choices early to steer ahead. In doing so, the book serves the requirements of policymakers and thought leaders.
This volume explores the governance and management of science, technology, and innovation (STI) in relation to innovation policy and governance systems, highlighting its goal, challenges, and opportunities. Divided into two sections, it addresses the role of governments in promoting innovation in Latin-American contexts as well as barriers and opportunities for STI governance in the region. The chapters tackle the role of institutions, innovation funding, technological trajectories, regional innovation policies, innovation ecosystems, universities, knowledge appropriation, and markets. Researchers and scholars will find an opportunity to grasp a better understanding of innovation policies in emerging economies. This interdisciplinary work presents original research on science, technology and innovation policy and governance studies in an understudied region.
Existing literature looks at national innovation systems from the perspective of either "inside the black box" or "outside the black box". This is the first book that analyzes both the inside and outside of the black box using a general equilibrium framework. The book looks at what is outside the black box and provides models of path-dependent endogenous growth; examines the dynamics of the black box from the intersectoral perspective of the economy; and proposes an innovation flow matrix. It also takes into account both business cycles and endogenous innovation in the unified New Keynesian dynamic stochastic general equilibrium (DSGE) model and examines how business cycles and other policy shocks affect endogenous innovation. The unified treatment of the national innovation system from perspectives both inside and outside the black box using rigorous economic models and empirical analyses makes this an enlightening work, shedding new light on innovation economics.