| 书目名称 | Simulating Knowledge Dynamics in Innovation Networks |
| 编辑 | Nigel Gilbert,Petra Ahrweiler,Andreas Pyka |
| 视频video | |
| 概述 | Edited and authored by leading researchers in the field.Self-contained introduction into a new and well-tested modelling technique.Contains case studies |
| 丛书名称 | Understanding Complex Systems |
| 图书封面 |  |
| 描述 | .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 appli |
| 出版日期 | Book 2014 |
| 关键词 | Agent-based Modeling and Simulations; Innovation Networks; Innovation Strategies and Systems; Introduct |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-43508-3 |
| isbn_softcover | 978-3-662-51148-0 |
| isbn_ebook | 978-3-662-43508-3Series ISSN 1860-0832 Series E-ISSN 1860-0840 |
| issn_series | 1860-0832 |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
发表于 2025-3-21 19:52:18
