The Measurement of Synergy in Innovation Systems: Redundancy Generation in a Triple Helix of University-Industry-Government Relations

53 Pages Posted: 21 Mar 2017  

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR)

Henry Etzkowitz

Stanford University - H-STAR Institute

Inga Ivanova

National Research University Higher School of Economics

Martin S. Meyer

University of Kent, Kent Business School

Date Written: March 20, 2017

Abstract

In university-industry-government relations, one not only exchanges information, but can also share meanings provided from partially overlapping perspectives. Such sharing of meanings invokes different codes of communication and generates redundancies. Redundancy can be measured as the number of options not yet realized in a system of innovations. The generation of new options is probably more important for the quality of knowledge-based innovation systems than prior achievements. Three levels of communication can be distinguished: the communication of information in networks of relations, the sharing of meaning among differently positioned agents in a multi-dimensional vector space, and codes of communication (“horizons of meaning”) which “structurate” meaning processing among reflexive agents. Scientometricians have mainly studied the communication of information; new options, however, are generated and entertained discursively in the knowledge base. The Triple-Helix synergy indicator enables us to measure the generation of redundancy as feedback on historical trajectories. In a number of studies of national systems of innovation (e.g., Sweden, Germany, Spain, China), this measure was used to indicate niches (e.g., regions) in which uncertainty is reduced. Reduction of uncertainty improves the entrepreneurial climate for innovation. The quality of an innovation system can thus be quantified at different geographical scales and in terms of different sectors, such as high- and medium-tech manufacturing or knowledge-intensive services.

Keywords: Triple Helix; Non-linear Dynamics; University-Industry-Government Relations; Redundancy; Innovation Systems; Knowledge Base

Suggested Citation

Leydesdorff, Loet and Etzkowitz, Henry and Ivanova, Inga and Meyer, Martin S., The Measurement of Synergy in Innovation Systems: Redundancy Generation in a Triple Helix of University-Industry-Government Relations (March 20, 2017). Available at SSRN: https://ssrn.com/abstract=2937647

Loet Leydesdorff (Contact Author)

University of Amsterdam - Amsterdam School of Communication Research (ASCoR) ( email )

PO Box 15793
Amsterdam, 1001 NG
Netherlands

HOME PAGE: http://www.leydesdorff.net

Henry Etzkowitz

Stanford University - H-STAR Institute ( email )

Stanford, CA 94305
United States

Inga Ivanova

National Research University Higher School of Economics ( email )

20 Myasnitskaya St.
Moscow, 101000
Russia

Martin S. Meyer

University of Kent, Kent Business School ( email )

Keynes College
Canterbury, Kent CT2 7NP
United Kingdom

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