Articles liés à Simulating Knowledge Dynamics in Innovation Networks
Simulating Knowledge Dynamics in Innovation Networks - Couverture rigide
Livre 8 sur 30: Understanding Complex Systems
Synopsis
Introduction: SKIN modeling.- Part 1 Innovation Strategies.-Part 2 Testing Policy Options.- Part 3 Applying SKIN to innovation sectors.- Summary and Outlook.
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Simulating Knowledge Dynamics in Innovation Networks (eng)
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur cd689f4d1fcf9b37647e0bc017dccfca
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Simulating Knowledge Dynamics in Innovation Networks
Edité par
Springer Berlin Heidelberg Aug 2014, 2014
ISBN 10 : 3662435071
ISBN 13 : 9783662435076
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 260 pp. Englisch. N° de réf. du vendeur 9783662435076
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Simulating Knowledge Dynamics in Innovation Networks (Understanding Complex Systems)
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Simulating Knowledge Dynamics in Innovation Networks
Edité par
Springer Berlin Heidelberg, 2014
ISBN 10 : 3662435071
ISBN 13 : 9783662435076
Neuf
Couverture rigide
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Edited and authored by leading researchers in the fieldSelf-contained introduction into a new and well-tested modelling techniqueContains case studiesEdited and authored by leading researchers in the fieldSelf-contained introduct. N° de réf. du vendeur 5227428
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Simulating Knowledge Dynamics in Innovation Networks
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Etat : New. pp. 262. N° de réf. du vendeur 26142298603
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Simulating Knowledge Dynamics in Innovation Networks
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783662435076
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Simulating Knowledge Dynamics in Innovation Networks
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Etat : New. Print on Demand pp. 262 108 Illus. (37 Col.). N° de réf. du vendeur 135066164
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Simulating Knowledge Dynamics in Innovation Networks
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Etat : New. PRINT ON DEMAND pp. 262. N° de réf. du vendeur 18142298593
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Simulating Knowledge Dynamics in Innovation Networks
Edité par
Springer, Springer Vieweg Aug 2014, 2014
ISBN 10 : 3662435071
ISBN 13 : 9783662435076
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 cöoperations 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch. N° de réf. du vendeur 9783662435076
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Simulating Knowledge Dynamics in Innovation Networks (Understanding Complex Systems)
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