Innovation Discovery: Network Analysis Of Research And Invention Activity For Technology Management

Innovation Discovery: Network Analysis Of Research And Invention Activity For Technology Management

Author: Tugrul U Daim

Publisher: World Scientific

Published: 2018-01-23

Total Pages: 672

ISBN-13: 1786344076

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The use of bibliometrics for the analysis of technology management is on the rise in our increasingly technological societies. Many are using these tools to document or record the rise of various technologies, making it necessary to take stock of the value and application of scientometric methods and their measures.Innovation Discovery shows the current state of play within the field of management of technology, and discusses how we can use networks to explore, understand and generate theory around the innovation process. It looks at the different streams of analysis used to understand bibliometric data, and presents alternative and novel ways of applying these techniques.Written as a comprehensive review of approaches by leading researchers in the field, this book is suitable for graduate and post-graduate students and researches looking to expand their knowledge and embark on further investigations in technology management.


Innovation under the Radar

Innovation under the Radar

Author: Xiaolan Fu

Publisher: Cambridge University Press

Published: 2020-12-17

Total Pages: 437

ISBN-13: 1107183103

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The first systematic and comprehensive analysis of innovation in Africa based on mixed methods and dedicated firm-level, multi-country, multi-year survey data. For researchers, graduate students and policy makers in the fields of innovation studies, African business, international business, and development studies.


Innovation under Uncertainty

Innovation under Uncertainty

Author: Valentina Bosetti

Publisher: Edward Elgar Publishing

Published: 2015-02-27

Total Pages: 187

ISBN-13: 1782546472

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Innovation under Uncertainty presents original research and insights on innovation in carbon-free energy technologies. Valentina Bosetti and Michela Catenacci provide a complete and informative assessment of the current potentials and limits and offer


Innovation Capacity and the City

Innovation Capacity and the City

Author: Ilaria Tosoni

Publisher:

Published: 2020-10-08

Total Pages: 106

ISBN-13: 9781013272943

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This open access book represents one of the key milestones of DESIGNSCAPES, an H2020 CSA (Coordination and Support Action) research project funded by the European Commission under the Call "User-driven innovation: value creation through design-enabled innovation". The book demonstrates that adopting design allows us to embed innovation within the city so as to arrive at feasible answers to complex global challenges. In this way, innovation can become disruptive, while also sparking a dynamic of gradual change in the "urbanscape" it acts within. To explore this potential, the book puts forward the concept of "design enabled innovation in urban environments" and examines the part that the city can play in promoting and facilitating the adoption of design among public and private sector innovators. This leads to a potential evaluation framework in which a given urbanscape is assessed both in terms of its capacity for generating innovation, and of the nature (more or less design-dependent or design-prone) of the innovative initiatives it hosts. This thread of reasoning holds many promising implications, including a possible "third way" between those who dream of an alternative economic model where revenues and growth are sacrificed on the altar of social and environmental respect, and the supporters of the traditional market-based view, who feel it is enough to add a touch of responsibility and concern to a system that should continue rewarding the profitability of innovations. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.


Models of Innovation

Models of Innovation

Author: Benoit Godin

Publisher: MIT Press

Published: 2017-02-24

Total Pages: 340

ISBN-13: 0262035898

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Benoît Godin is a Professor at the Institut national de la recherche scientifique, Montreal. Models abound in science, technology, and society (STS) studies and in science, technology, and innovation (STI) studies. They are continually being invented, with one author developing many versions of the same model over time. At the same time, models are regularly criticized. Such is the case with the most influential model in STS-STI: the linear model of innovation. In this book, Benoît Godin examines the emergence and diffusion of the three most important conceptual models of innovation from the early twentieth century to the late 1980s: stage models, linear models, and holistic models. Godin first traces the history of the models of innovation constructed during this period, considering why these particular models came into being and what use was made of them. He then rethinks and debunks the historical narratives of models developed by theorists of innovation. Godin documents a greater diversity of thinkers and schools than in the conventional account, tracing a genealogy of models beginning with anthropologists, industrialists, and practitioners in the first half of the twentieth century to their later formalization in STS-STI. Godin suggests that a model is a conceptualization, which could be narrative, or a set of conceptualizations, or a paradigmatic perspective, often in pictorial form and reduced discursively to a simplified representation of reality. Why are so many things called models? Godin claims that model has a rhetorical function. First, a model is a symbol of “scientificity.” Second, a model travels easily among scholars and policy makers. Calling a conceptualization or narrative or perspective a model facilitates its propagation.


Innovative Techniques and Applications of Modelling, Identification and Control

Innovative Techniques and Applications of Modelling, Identification and Control

Author: Quanmin Zhu

Publisher: Springer

Published: 2018-04-20

Total Pages: 455

ISBN-13: 9811072124

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This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering.


Connecting Civic Engagement and Social Innovation

Connecting Civic Engagement and Social Innovation

Author: Amanda Moore McBride

Publisher: Campus Compact

Published: 2020-04-03

Total Pages: 270

ISBN-13: 1945459239

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This book offers a much-needed appraisal of two key social change movements within higher education: civic engagement and social innovation. The authors critically explore the historical and contemporary contexts as well as democratic foundations (or absence thereof) of both approaches, concluding with a discussion of possible future directions that may make the approaches more effective in fulfilling the broader democratic mission of U.S. higher education. This is an essential resource for those in higher education who wish to promote and advance social change, as it provides an opportunity to critically examine where we are with our civic engagement and social innovation approaches and what we might do to best realize their promise through changes in our educational processes, pedagogical strategies, evaluation metrics, and outcomes.


Innovations in Intelligent Systems

Innovations in Intelligent Systems

Author: Ajith Abraham

Publisher: Springer

Published: 2013-06-29

Total Pages: 486

ISBN-13: 3540396152

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Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.


Modeling Environment-Improving Technological Innovations under Uncertainty

Modeling Environment-Improving Technological Innovations under Uncertainty

Author: Alexander Golub

Publisher: Routledge

Published: 2008-12-08

Total Pages: 433

ISBN-13: 1134041195

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The issues of technology and uncertainty are very much at the heart of the policy debate of how much to control greenhouse gas emissions. The costs of doing so are present and high while the benefits are very much in the future and, most importantly, they are highly uncertain. Whilst there is broad consensus on the key elements of climate change science and agreement that near-term actions are needed to prevent dangerous anthropogenic interference with the climate system, there is little agreement on the costs and benefits of climate policy. The book looks at different ways of reconciling the needs for sustainability and equity with the costs of action now. Presenting a compendium of methodologies for evaluating the economic impact of technological innovation upon climate-change policy, this book describes mathematical models and their predictions. The goal is to provide a practitioner’s guide for doing the science of economics and climate change. Because the assumptions motivating different problems in the economics of climate change have different complexities, a number of models are presented with varying levels of difficulty: reduced-form and structural, partial- and general-equilibrium, closed-form and computational. A unifying theme of these models is the incorporation of a number of price and quantity instruments and an analysis of their respective efficacies. This book presents models that contain structural uncertainty, i.e., uncertainty that economic agents respond to via their risk attitudes. The novelty of this book is to relate the effects of risk and risk attitudes to environment-improving technological innovation.