The proliferation of research collaborations amongst industry, university and public sector research organisations encourages and increases national innovative capacity. Innovation activities in research collaborations are governed by four major determinants that are critical for the transformation of new ideas generated within research organisations into commercial products, processes or user services. These determinants include the status of knowledge, organisational management factors, linkage mechanisms and market and user opportunities. Interaction between these determinants is important for an analysis of innovation clusters formed across different national research programs. This paper discusses the relationships between major determinants of innovation using a ‘symbiotic’ model which is similar to Michael Porter’s ‘diamond’ model for competitive advantages of national industries. The model is applied to emerging ‘innovation clusters’ supported by the Cooperative Research Centres Program in Australia and is field tested at centre level for its explanatory viability. The discussion provides insights into improved management methods for innovation in collaborative research arrangements.

PAGES
207 – 224
DOI
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Issues
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Agnes Horvath, Magic and the Will to Science: A Political Anthropology of Liminal Technicality
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Gibson Burrell, Ronald Hartz, David Harvie, Geoff Lightfoot, Simon Lilley and Friends, Shaping for Mediocrity: The Cancellation of Critical Thinking at our Universities
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Bas de Boer, How Scientific Instruments Speak: Postphenomenology and Technological Mediations in Neuroscientific Practice
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Bjørn Lomborg, False Alarm
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How does innovation arise in the bicycle sector? The users’ role and their betrayal in the case of the ‘gravel bike’
A SYMBIOTIC MODEL OF INNOVATION MANAGEMENT FOR COLLABORATIVE RESEARCH
Original Articles