Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Stability of collaborative R&D networks: A simulation study
Gust, P.; Altfeld, N.; Kreutzfeldt, J.
Type:
Year:
2012
Editor:
Onishi, M.; Maurer, M.; Kirner, K.; Lindemann, U.
Author:
Series:
DSM
Institution:
1: University of Wuppertal, Germany; 2: Hamburg University of Applied Sciences, Germany
Section:
Management of Engineering Design Projects
Page(s):
385-399
ISBN:
978-3-446-43354-0
Abstract:
To reduce the likelihood that R&D projects fail, companies tend to perform R&D activities in collaborative networks. A fundamental characteristic of networks is stability. This paper introduces a
novel approach that determines the stability of R&D networks and combines the analysis network topology with a two-layer simulation model. To analyze the topology of collaborative R&D project networks graph theory and measures from social network analysis are used. Our study enables us to identify the companies that play a key role in the R&D network. To ensure the stability of the collaborative R&D project, participants with a high betweenness centrality index should be identified and monitored. These participants have a great impact on the stability of collaborative networks.
novel approach that determines the stability of R&D networks and combines the analysis network topology with a two-layer simulation model. To analyze the topology of collaborative R&D project networks graph theory and measures from social network analysis are used. Our study enables us to identify the companies that play a key role in the R&D network. To ensure the stability of the collaborative R&D project, participants with a high betweenness centrality index should be identified and monitored. These participants have a great impact on the stability of collaborative networks.
Keywords:
