Simulating Knowledge Dynamics in Innovation Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulating Knowledge Dynamics in Innovation Networks write by Nigel Gilbert. This book was released on 2014-07-22. Simulating Knowledge Dynamics in Innovation Networks available in PDF, EPUB and Kindle. The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.
Simulating Knowledge Dynamics in Innovation Networks (SKIN)
Simulating Knowledge Dynamics in Innovation Networks (SKIN) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulating Knowledge Dynamics in Innovation Networks (SKIN) write by Petra Ahrweiler. This book was released on 2004. Simulating Knowledge Dynamics in Innovation Networks (SKIN) available in PDF, EPUB and Kindle.
Joining Complexity Science and Social Simulation for Innovation Policy
Joining Complexity Science and Social Simulation for Innovation Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Joining Complexity Science and Social Simulation for Innovation Policy write by Petra Ahrweiler. This book was released on 2016-04-26. Joining Complexity Science and Social Simulation for Innovation Policy available in PDF, EPUB and Kindle. This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http://cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.
Joining Complexity Science and Social Simulation for Innovation Policy
Joining Complexity Science and Social Simulation for Innovation Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Joining Complexity Science and Social Simulation for Innovation Policy write by Petra Ahrweiler. This book was released on 2016. Joining Complexity Science and Social Simulation for Innovation Policy available in PDF, EPUB and Kindle. This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http: //cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.
Innovation Networks
Innovation Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Innovation Networks write by Andreas Pyka. This book was released on 2010-05-17. Innovation Networks available in PDF, EPUB and Kindle. The science of graphs and networks is now an established tool for modeling and analyzing systems with a large number of interacting components. The contributions to this anthology address different aspects of the relationship between innovation and networks.
