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Rising from a position of relative poverty in 1980, China is now the world's second-largest economy and a leader in many fields of innovation. Understanding China's new status as a technologically advanced world power and the means by which it has reached that position will be critical to policy-makers and business leaders in the years ahead. The Oxford Handbook of China Innovation provides a contemporary and authoritative view of the role of innovation in China's extraordinary emergence. The Handbook brings together over sixty experts from universities and research institutions worldwide to describe and analyze this phenomenon with criticism, policy discussion, and views about further development. The volume focuses on the microeconomic factors in China's growth and the way in which the steady drive for innovation has been a critical force. Chapters cover a wide scope of topics including China's development policies, the place of innovation in national priorities, the components of the national innovation system, and the resources required for their effective deployment. The issue of foreign influence is also addressed, including the evolution of policy towards inward foreign direct investment and knowledge transfer and China's goals for outward foreign direct investment. As China emerges as a contender for global leadership, the Handbook provides a data-driven, accessible, and comprehensive foundation to understand and predict the challenges ahead.
This book extends the efficiency literature to the case of intertemporal models. First, the authors introduce static network models which serve as building blocks for the intertemporal budgeting models and the dynamic models. Next, the authors devote two chapters to productivity measurements, which are considered as comparative static models. Intertemporal budgeting models and dynamic models are taken up subsequently. Each chapter, except the first, contains empirical applications.
This book, based on extensive original research, examines the factors which lead to successful innovation in Chinese industry. Considering the large and important Chinese mining industry in detail, it argues that innovation is key for success in all industries, not just new "tech" industries. It reveals how the interaction of universities, governments and industries is highly significant, considers how some parts of the industry, such as the mining and mineral processing stages, are more innovative than other stages, such as prospecting and mining equipment manufacturing, and suggests that this is explained both by the distance between final products and the market and commercialisation, and by the intensity of the interaction between the industrial company and the university or research institute. Throughout, the book includes examples and case studies to highlight the points made.
Continuation along current development pathways is not sustainable. Available technology and production practices and the consumption patterns of modern societies are leading to global warming and ecological destruction. Business as usual is not an option. There is an urgent need to find a new development paradigm that ensures environmental sustainability while managing to provide, now and in the future, a decent livelihood for all of humankind. In Technology and Innovation for Sustainable Development, experts in the area provide a variety of insights about the technical transformation needed for sustainable development. It spells out the behavioural and policy changes that would need to accompany the next technological transformation, taking into account the complexity of inducing technological change in the energy and agricultural sectors. The assessment suggests that this will require major, but doable improvements in national innovation systems and major, but affordable shifts in investment patterns and related macroeconomic adjustments.
Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.
In contemporary global capitalism, the most powerful corporations are innovation or intellectual monopolies. The book’s unique perspective focuses on how private ownership and control of knowledge and data have become a major source of rent and power. The author explains how at the one pole, these corporations concentrate income, property and power in the United States, China, and in a handful of intellectual monopolies, particularly from digital and pharmaceutical industries, while at the other pole developing countries are left further behind. The book includes detailed empirical mappings of how intellectual monopolies develop and transform knowledge from universities and open-source collaborations into intangible assets. The result is a strategy that combines undermining the commons through privatization with harvesting from the same commons. The book ends with provoking reflections to tilt the scale against intellectual monopoly capitalism and arguing that desired changes require democratic mobilization of workers and citizens at large. This book represents one of the first attempts to capture the contours of an emerging new era where old perspectives lead us astray, and the old policy toolbox is hopelessly inadequate. This is true for the idea that the best, or only, way to promote innovation is to transform knowledge into private property. It is also true for anti-trust policies focusing exclusively on consumer prices. The formation of global infrastructures that lead to natural monopolies calls for public rather than private ownership. Scholars and professionals from the social sciences and humanities (in particular economics, sociology, political science, geography, educational science and science and technology studies) will enjoy a clear and all-embracing depiction of innovation dynamics in contemporary capitalism, with a particular focus on asymmetries between actors, regions and topics. In fact, its topical issue broadens the book’s scope to those curious about how innovation networks shape our world.