Breeding innovation clusters through collaborative research networks

Liyanage S. (1995) Breeding innovation clusters through collaborative research networks. Technovation, 15 9: 553-567. doi:10.1016/0166-4972(95)96585-H

Author Liyanage S.
Title Breeding innovation clusters through collaborative research networks
Journal name Technovation   Check publisher's open access policy
ISSN 0166-4972
Publication date 1995-01-01
Sub-type Article (original research)
DOI 10.1016/0166-4972(95)96585-H
Open Access Status
Volume 15
Issue 9
Start page 553
End page 567
Total pages 15
Language eng
Subject 1405 Management of Technology and Innovation
2200 Engineering
Abstract Collaborative research programs have a significant impact on the structure of national innovation systems by creating and strengthening networks which are essential for breeding innovation clusters. These networks involve both technology and market stakeholders and are extended to include industry, research and technology producers. Network activities have resulted in setting priority in research and linking research fields that have high potential to coalesce into distinct technological clusters. This paper examines the processes by which innovation clusters are formed in research collaborations by analysing the work programs of 51 Australian Cooperative Research Centres (CRCs). The paper also provides an analytical framework to determine the direction of national research setting through cluster analysis. The author employs a methodology called 'co-occurrence of words' in cluster construction. It is argued that the iterative process of innovation cluster formation is an effective form of organizing a national system of innovation. These clusters enable public policy makers to identify complementarities between generation, acquisition and diffusion of knowledge across a range of innovations rather than a single innovation.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: Scopus Citation Count Cited 44 times in Scopus Article | Citations
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Created: Tue, 05 Jul 2016, 11:00:07 EST by System User