Simulating Knowledge Dynamics in Innovation Networks

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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 cooperations 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.


Edited and authored by leading researchers in the field Self-contained introduction into a new and well-tested modelling technique Contains case studies

Autorentext
Petra Ahrweiler, Dr. phil., leitet verschiedene wissenschaftliche Forschungsprojekte zum Thema Kommunikations- und Konfliktmanagement in wissensbasierten Organisationen.

Inhalt
Introduction: SKIN modeling.- Part 1 Innovation Strategies.-Part 2 Testing Policy Options.- Part 3 Applying SKIN to innovation sectors.- Summary and Outlook.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783662435076
    • Editor Nigel Gilbert, Andreas Pyka, Petra Ahrweiler
    • Sprache Englisch
    • Auflage 2014
    • Größe H241mm x B160mm x T20mm
    • Jahr 2014
    • EAN 9783662435076
    • Format Fester Einband
    • ISBN 3662435071
    • Veröffentlichung 05.08.2014
    • Titel Simulating Knowledge Dynamics in Innovation Networks
    • Untertitel Understanding Complex Systems
    • Gewicht 559g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 260
    • Lesemotiv Verstehen
    • Genre Betriebswirtschaft

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