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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Simulating Knowledge Dynamics in Innovation Networks (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R3,483
Discovery Miles 34 830
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Simulating Knowledge Dynamics in Innovation Networks (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Understanding Complex Systems
Expected to ship within 10 - 15 working days
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Donate to Against Period Poverty
Total price: R3,503
Discovery Miles: 35 030
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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.
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