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Decision making on the technology transfer in regional innovation cluster under uncertainty and risk

Author

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  • Chaplygin, V.

    (WSB University, Gdansk, Poland)

  • Moroz, V.

    (WSB University, Gdansk, Poland)

Abstract

Regional innovative clusters unite various organizations related to high-tech industries, which is located in concrete region, on the basis of cooperative activity, common interests and complementarity to their functions, resources and capabilities. This accelerates research and development processes and provides market entry of final product that is of fundamental importance for competitiveness of manufactured product as well as of regional innovative cluster as a hole and region of its location. The paper aims to develop methods and recommendations on technology transfer in regional innovation cluster as a tool for optimization of risks of its innovation activity. They include the development of the methodology for decision making on transfer of technology in innovation cluster under uncertainty and risk. As a result, we made calculations on the conditional example, in accordance with proposed methodology. In conclusion, application of proposed methodology in regional innovation cluster allows to optimize risks at the stage of implementation of developed technology in the manufacturing of final product and to accelerate its market entry that can be considered as a factor of regional economic competitiveness.

Suggested Citation

  • Chaplygin, V. & Moroz, V., 2022. "Decision making on the technology transfer in regional innovation cluster under uncertainty and risk," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 121-142.
    • Handle: RePEc:nea:journl:y:2022:i:53:p:121-142
    DOI: 10.31737/2221-2264-2022-53-1-6
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    More about this item

    Keywords

    regional innovation cluster; technology transfer; methodology of receiving enterprise selection; implementation of developed technology; uncertainty; risk; fuzzy information environment; method TOPSIS; preference matrix; domination matrix; non-domination matrix;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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