0
Your cart

Your cart is empty

Books > Social sciences > Sociology, social studies > Social research & statistics

Buy Now

Simulating Knowledge Dynamics in Innovation Networks (Hardcover, 2014 ed.) Loot Price: R3,953
Discovery Miles 39 530
Simulating Knowledge Dynamics in Innovation Networks (Hardcover, 2014 ed.): Nigel Gilbert, Petra Ahrweiler, Andreas Pyka

Simulating Knowledge Dynamics in Innovation Networks (Hardcover, 2014 ed.)

Nigel Gilbert, Petra Ahrweiler, Andreas Pyka

Series: Understanding Complex Systems

 (sign in to rate)
Loot Price R3,953 Discovery Miles 39 530 | Repayment Terms: R370 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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: July 2014
First published: 2014
Editors: Nigel Gilbert • Petra Ahrweiler • Andreas Pyka
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 248
Edition: 2014 ed.
ISBN-13: 978-3-662-43507-6
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN: 3-662-43507-1
Barcode: 9783662435076

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners