Triple Helix Model of university–industry–government cooperation in the context of nowadays social uncertainty

Irena Vaivode

Abstract


Purpose. To look for the new ways to investigate the subsidy impacts on R&D investment and company’s innovation performance.

Methodology.  The methodology of an investigation is based on the papers type or theoretical approach. The innovation systems can be expected to have a fractal structure of the Triple Helix model that can be mapped in a Cartesian coordinate system where dimensions of (S) science, (B) business, and (G) government are spanned orthogonally. This can be described as a rotation of the coordinate system. The (S) science dimension is analyzed in addition. Mathematical equation and econometric evaluation techniques test the effect of the subsidy on the firms’ internal R&D spending and the further interaction effect within the Triple Helix model.

Results. New research framework is created for the further practical implementation.

The theoretical contribution. Innovation performance is measured by the firms’ success in bringing innovations to the market, the share of sales that can be attributed to products that were new to the market. Such market novelties are an indicator for successful R&D outcome.  R&D efficiency is essential factor for company’s innovation performance (R&D efficiency is the link between R&D input and output).   The Triple Helix model assumes that the driving force of economic development in the post-industrial stage is no longer manufacturing, but the production and dissemination of socially organized knowledge. Institutions that generate knowledge increasingly play a role in the networks of relations among the key actors: University (Science), Industry (Business), and Government (Governance). The spheres of these activities are increasingly overlapping.  In areas of intersection, the actors can partially substitute for one another.  Universities in addition to their educational and research functions, creates small innovative companies and becomes thus a stakeholder in socio-economic development. Industrial corporations can also use the university's infrastructure in order to conduct their own R&D activities. Governments encourage the development of small innovative enterprises through priority financing of specific universities and legislative regulation. Nowadays the impact of the external environment in particular is critical for innovation under social uncertainty. Depending on the local environment, inter-institutional interactions function as a selection mechanism that can generate a new innovation environment, which ensures the systems regeneration as a new combination of locally distributed modes. Targeted innovation policy design fosters innovation performance, that is, whether the publicly induced part of the R&D investment translates subsequently into product market innovations.

Practical implications. New research framework is created for the further practical implementation.

Keywords: Cartesian coordinate system; Innovation performance; Triple Helix Model.

Paper type: Theoretical paper.

 

 


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