Preprint Article Version 1 This version is not peer-reviewed

Synergy in Knowledge-Based Innovation Systems at National and Regional Levels: The Triple Helix Model and the Fourth Industrial Revolution

Version 1 : Received: 19 April 2018 / Approved: 19 April 2018 / Online: 19 April 2018 (11:28:35 CEST)

A peer-reviewed article of this Preprint also exists.

Leydesdorff, L. Synergy in Knowledge-Based Innovation Systems at National and Regional Levels: The Triple-Helix Model and the Fourth Industrial Revolution. J. Open Innov. Technol. Mark. Complex. 2018, 4, 2. Leydesdorff, L. Synergy in Knowledge-Based Innovation Systems at National and Regional Levels: The Triple-Helix Model and the Fourth Industrial Revolution. J. Open Innov. Technol. Mark. Complex. 2018, 4, 2.

Journal reference: J. Open Innov. Technol. Mark. Complex. 2018, 4, 2
DOI: 10.3390/joitmc4020002

Abstract

Different from national systems of innovation, a knowledge-based economy is grounded in the volatility of discursive knowledge enabling us to specify expectations. Expectations can be improved by testing against observations. Furthermore, expectations can differently be codified; for example, in terms of market perspectives and technological opportunities. The Triple Helix of university-industry-government relations provides first a (neo-)institutional model. However, three functions are recombined at the systems level in each instantiation: wealth generation (by industry), novelty production (academia), and legislation and regulation (government). The Triple-Helix synergy indicator enables us to use the institutional arrangements as instantiations of the knowledge-dynamics and thus to assess the generation of options and reduction of uncertainty in information-theoretical terms. The Fourth Industrial Revolution entails the transition to the reflexive entertaining of expectations in terms of models as increasingly the sources of innovations.

Subject Areas

triple helix; innovation systems; reflexive turn; expectation; synergy

Readers' Comments and Ratings (0)

Leave a public comment
Send a private comment to the author(s)
Rate this article
Views 0
Downloads 0
Comments 0
Metrics 0
Leave a public comment

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.