A technology alliance’s stability evolution based on a network structure analysis

Hui Li, Shi you Qu, Christopher M Scherpereel

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)1-20
Number of pages20
JournalInnovation: Management, Policy and Practice
DOIs
StateAccepted/In press - Mar 9 2018

Fingerprint

Industry
Technology alliances
Alliances
Network structure
Communication
Centrality
Managerial practices
Knowledge flow
Guidance
Knowledge networks
Structural holes
Connectedness

Keywords

  • Innovation management
  • network analysis
  • stability evolution
  • technology alliance

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

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