Abstract
The study of technology alliance stability is rare in the literature. Research is especially sparse when exploring a technology alliance’ stability based on knowledge networks. We construct a weighted two-mode bipartite affiliation network for a technology alliance consisting of academies, universities and corporations; and using the UCINET algorithms for centrality, consensus, structural hole and connectedness; we measure and analyse the effect of knowledge flow frequency on alliance stability. Our analysis reveals that as the alliance matures: (1) corporations increase in importance and universities’ power decreases as the alliance moves from a research focus toward an application focus; (2) central organisations of the alliance lose importance, and the network become more balanced; (3) the network becomes more vulnerable to the removal of organisations (it become less stable); (4) members are more specialised and exhibit less communication. Our research both increases the current theoretical understanding of alliance stability and offers guidance for managerial practice.
Original language | English (US) |
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Pages (from-to) | 240-259 |
Number of pages | 20 |
Journal | Innovation: Organization and Management |
Volume | 20 |
Issue number | 3 |
DOIs | |
State | Published - Jul 3 2018 |
Keywords
- Innovation management
- network analysis
- stability evolution
- technology alliance
ASJC Scopus subject areas
- Management of Technology and Innovation