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Simulating Knowledge Dynamics in Innovation Networks (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R3,751
Discovery Miles 37 510
Simulating Knowledge Dynamics in Innovation Networks (Paperback, Softcover reprint of the original 1st ed. 2014): Nigel...

Simulating Knowledge Dynamics in Innovation Networks (Paperback, Softcover reprint of the original 1st ed. 2014)

Nigel Gilbert, Petra Ahrweiler, Andreas Pyka

Series: Understanding Complex Systems

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Loot Price R3,751 Discovery Miles 37 510 | Repayment Terms: R352 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Understanding Complex Systems
Release date: August 2016
First published: 2014
Editors: Nigel Gilbert • Petra Ahrweiler • Andreas Pyka
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 248
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-662-51148-0
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Business & Economics > Business & management > Management of specific areas > Research & development management
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LSN: 3-662-51148-7
Barcode: 9783662511480

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