The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks

Dodgson, M., Mathews, J., Kastelle, T. and Hu, M. (2008) The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks. Research Policy, 37 3: 430-445. doi:10.1016/j.respol.2007.12.005

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Author Dodgson, M.
Mathews, J.
Kastelle, T.
Hu, M.
Title The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks
Journal name Research Policy   Check publisher's open access policy
ISSN 0048-7333
Publication date 2008-04-01
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.respol.2007.12.005
Open Access Status
Volume 37
Issue 3
Start page 430
End page 445
Total pages 16
Editor Kodama, F.
Bell, M.
Callon, M.
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV, North-Holland
Language eng
Subject C1
150307 Innovation and Technology Management
910406 Technological and Organisational Innovation
Abstract The dynamics of national innovation systems (NISs) are a source of considerable academic and policy interest, especially when to address new competitive challenges they involve changing institutions and relationships within successful systems. This paper examines the case of Taiwan which is embarking on a new phase in its approach to building its national innovative capacity through creating the infrastructure for a biotechnology industry. By examining the process and mechanisms by which new biotechnology innovation networks are being created, and contrasting their development with existing networks, we analyse the dynamics of Taiwan's NIS. The paper reviews the prospects for this new phase in Taiwan's transition from ‘imitation’ to ‘innovation’. The paper aims to add to the understanding of how innovation systems evolve. It is concerned with the contributors, processes and challenges of NIS evolution and the form and meaning of its dynamic changes.
Keyword National innovation system dynamics
Innovation networks
Taiwan
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
UQ Business School Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 56 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 66 times in Scopus Article | Citations
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Created: Thu, 27 Nov 2008, 03:21:53 EST by Karen Morgan on behalf of UQ Business School