Simulating Knowledge Dynamics In Innovation Networks

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Simulating Knowledge Dynamics in Innovation Networks

Author : Nigel Gilbert,Petra Ahrweiler,Andreas Pyka
Publisher : Springer
Page : 248 pages
File Size : 44,7 Mb
Release : 2014-07-22
Category : Business & Economics
ISBN : 9783662435083

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Simulating Knowledge Dynamics in Innovation Networks by Nigel Gilbert,Petra Ahrweiler,Andreas Pyka Pdf

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)

Author : Petra Ahrweiler,Andreas Pyka,Nigel Gilbert
Publisher : Unknown
Page : 128 pages
File Size : 44,7 Mb
Release : 2004
Category : Electronic
ISBN : OCLC:1155532931

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Simulating Knowledge Dynamics in Innovation Networks (SKIN) by Petra Ahrweiler,Andreas Pyka,Nigel Gilbert Pdf

Joining Complexity Science and Social Simulation for Innovation Policy

Author : Petra Ahrweiler,Nigel Gilbert,Andreas Pyka
Publisher : Cambridge Scholars Publishing
Page : 410 pages
File Size : 45,6 Mb
Release : 2016-04-26
Category : Electronic
ISBN : 9781443892391

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Joining Complexity Science and Social Simulation for Innovation Policy by Petra Ahrweiler,Nigel Gilbert,Andreas Pyka Pdf

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

Author : Petra Ahrweiler,G. Nigel Gilbert,Andreas Pyka
Publisher : Unknown
Page : 0 pages
File Size : 42,8 Mb
Release : 2016
Category : Social exchange
ISBN : 144388460X

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Joining Complexity Science and Social Simulation for Innovation Policy by Petra Ahrweiler,G. Nigel Gilbert,Andreas Pyka Pdf

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

Author : Andreas Pyka,Andrea Scharnhorst
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 44,8 Mb
Release : 2010-05-17
Category : Business & Economics
ISBN : 9783540922674

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Innovation Networks by Andreas Pyka,Andrea Scharnhorst Pdf

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.

Policy Practice and Digital Science

Author : Marijn Janssen,Maria A. Wimmer,Ameneh Deljoo
Publisher : Springer
Page : 435 pages
File Size : 55,8 Mb
Release : 2015-06-03
Category : Law
ISBN : 9783319127842

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Policy Practice and Digital Science by Marijn Janssen,Maria A. Wimmer,Ameneh Deljoo Pdf

The explosive growth in data, computational power, and social media creates new opportunities for innovating the processes and solutions of Information and communications technology (ICT) based policy-making and research. To take advantage of these developments in the digital world, new approaches, concepts, instruments and methods are needed to navigate the societal and computational complexity. This requires extensive interdisciplinary knowledge of public administration, policy analyses, information systems, complex systems and computer science. This book provides the foundation for this new interdisciplinary field, in which various traditional disciplines are blending. Both policy makers, executors and those in charge of policy implementations acknowledge that ICT is becoming more important and is changing the policy-making process, resulting in a next generation policy-making based on ICT support. Web 2.0 and even Web 3.0 point to the specific applications of social networks, semantically enriched and linked data, whereas policy-making has also to do with the use of the vast amount of data, predictions and forecasts, and improving the outcomes of policy-making, which is confronted with an increasing complexity and uncertainty of the outcomes. The field of policy-making is changing and driven by developments like open data, computational methods for processing data, opining mining, simulation and visualization of rich data sets, all combined with public engagement, social media and participatory tools.

Innovation Networks for Regional Development

Author : Ben Vermeulen,Manfred Paier
Publisher : Springer
Page : 307 pages
File Size : 55,7 Mb
Release : 2016-09-29
Category : Business & Economics
ISBN : 9783319439402

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Innovation Networks for Regional Development by Ben Vermeulen,Manfred Paier Pdf

This book brings together original research on the role of networks in regional economic development and innovation. It presents a comprehensive framework synthesizing extant theories, a palette of real-world cases in the aerospace, automotive, life science, biotechnology and health care industries, and fundamental agent-based computer models elucidating the relation between regional development and network dynamics. The book is primarily intended for researchers in the fields of innovation economics and evolutionary economic geography, and particularly those interested in using agent-based models and empirical case studies. However, it also targets (regional) innovation policy makers who are not only interested in policy recommendations, but also want to understand the state-of-the-art agent-based modeling methods used to experimentally arrive at said recommendations.

Simulating Innovation

Author : Christopher Watts,Nigel Gilbert
Publisher : Edward Elgar Publishing
Page : 304 pages
File Size : 41,8 Mb
Release : 2014-01-31
Category : Computers
ISBN : 9781849801607

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Simulating Innovation by Christopher Watts,Nigel Gilbert Pdf

Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. ø Agent-based simulation models can be used to explain the innovation that emerges from interact

Innovation Networks in the German Laser Industry

Author : Muhamed Kudic
Publisher : Springer
Page : 363 pages
File Size : 42,9 Mb
Release : 2014-11-08
Category : Science
ISBN : 9783319079356

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Innovation Networks in the German Laser Industry by Muhamed Kudic Pdf

Technological innovation is fundamental to firm performance and economic prosperity. The aim of this book is to contribute to an in-depth understanding of collective innovation processes by analyzing publicly funded R&D cooperation and innovation networks in the German laser industry. Standing in a neo-Schumpeterian tradition, it employs interdisciplinary analytical concepts and draws upon a unique longitudinal dataset from the laser industry that covers more than two decades of observations. In brief, the book makes a valuable contribution by exploring how and why firm-specific R&D cooperation activities and network positions, large-scale network patterns, and evolutionary network change processes affect the innovative performance of laser source manufacturers in Germany.

The Routledge Companion to Innovation Management

Author : Jin Chen,Alexander Brem,Eric Viardot,Poh Kam Wong
Publisher : Routledge
Page : 600 pages
File Size : 53,7 Mb
Release : 2019-02-14
Category : Business & Economics
ISBN : 9781351997072

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The Routledge Companion to Innovation Management by Jin Chen,Alexander Brem,Eric Viardot,Poh Kam Wong Pdf

Innovation contributes to corporate competitiveness, economic performance and environmental sustainability. In the Internet era, innovation intelligence is transferred across borders and languages at an unprecedented rate, yet the ability to benefit from it seems to become more divergent among different corporations and countries. How much an organization can benefit from innovation largely depends on how well innovation is managed in it. Thus, there is a discernible increase in interest in the study of innovation management. This handbook provides a comprehensive guide to this subject. The handbook introduces the basic framework of innovation and innovation management. It also presents innovation management from the perspectives of strategy, organization and resource, as well as institution and culture. The book’s comprehensive coverage on all areas of innovation management makes this a very useful reference for anyone interested in the subject.

Innovation Networks

Author : Andreas Pyka,Günter Küppers
Publisher : Edward Elgar Publishing
Page : 0 pages
File Size : 43,5 Mb
Release : 2002
Category : Business networks
ISBN : 1843760401

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Innovation Networks by Andreas Pyka,Günter Küppers Pdf

The aim of this book is the integration of these different perspectives in order to develop a common theory of innovation networks. In this respect, a general model of innovation networks is applied to different industrial sectors such as the biotechnology industry, the telecommunications industry and knowledge-intensive business systems which form the backbone of the internet economy. By combining empirical case studies with theoretical work on the emergence of innovation networks, the authors are able to identify the mechanisms and circumstances which can contribute to their successful development and evaluation.

Innovation, Industrial Dynamics and Structural Transformation

Author : Uwe Cantner,Franco Malerba
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 52,7 Mb
Release : 2007-03-08
Category : Science
ISBN : 9783540494652

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Innovation, Industrial Dynamics and Structural Transformation by Uwe Cantner,Franco Malerba Pdf

This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process, change is affected and sometimes constraint by many factors, including knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions.

Innovation in Complex Social Systems

Author : Petra Ahrweiler
Publisher : Routledge
Page : 288 pages
File Size : 55,7 Mb
Release : 2010-04-05
Category : Business & Economics
ISBN : 9781136996764

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Innovation in Complex Social Systems by Petra Ahrweiler Pdf

Innovation is the creation of new, technologically feasible, commercially realisable products and processes and, if things go right, it emerges from the ongoing interaction of innovative organisations such as universities, research institutes, firms, government agencies and venture capitalists. Innovation in Complex Social Systems uses a "hard science" approach to examine innovation in a new way. Its contributors come from a wide variety of backgrounds, including social and natural sciences, computer science, and mathematics. Using cutting-edge methodology, they deal with the complex aspects of socio-economic innovation processes. Its approach opens up a new paradigm for innovation research, making innovation understandable and tractable using tools such as computational network analysis and agent-based simulation. This book of new work combines empirical analysis with a discussion of the tools and methods used to successfully investigate innovation from a range of international experts, and will be of interest to postgraduate students and scholars in economics, social science, innovation research and complexity science.

Social Simulation for a Digital Society

Author : Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill
Publisher : Springer Nature
Page : 216 pages
File Size : 51,5 Mb
Release : 2019-11-18
Category : Science
ISBN : 9783030302986

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Social Simulation for a Digital Society by Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill Pdf

“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.

Memetics and Evolutionary Economics

Author : Michael P. Schlaile
Publisher : Springer Nature
Page : 222 pages
File Size : 48,8 Mb
Release : 2020-12-21
Category : Business & Economics
ISBN : 9783030599553

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Memetics and Evolutionary Economics by Michael P. Schlaile Pdf

This book explores the question of whether and how meme theory or “memetics” can be fruitfully utilized in evolutionary economics and proposes an approach known as “economemetics” which is a combination of meme theory and complexity theory that has the potential to combat the fragmentation of evolutionary economics while re-connecting the field with cultural evolutionary theory. By studying the intersection of cultural and economic evolution, complexity economics, computational economics, and network science, the authors establish a connection between memetics and evolutionary economics at different levels of investigation. The book first demonstrates how a memetic approach to economic evolution can help to reveal links and build bridges between different but complementary concepts in evolutionary economics. Secondly, it shows how organizational memetics can help to capture the complexity of organizational culture using meme mapping. Thirdly, it presents an agent-based simulation model of knowledge diffusion and assimilation in innovation networks from a memetic perspective. The authors then use agent-based modeling and social network analysis to evaluate the diffusion pattern of the Ice Bucket Challenge as an example of a “viral meme.” Lastly, the book discusses the central issues of agency, creativity, and normativity in the context of economemetics and suggests promising avenues for further research.