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Investment Attractiveness of Science Intensive Companies in Ukraine


  • Buhun Yuriy V.

    () (National Technical University of Ukraine "Kyiv Polytechnic Institute")


The article conducts a study of investment attractiveness of science intensive companies of Ukraine for further acceleration of technical re-equipment. The author uses methods of logical and comparative analysis and method of grouping. The article underlines that investing into innovation activity of a science intensive company is an important factor of successful development of an organisation, since it allows materialisation of advanced ideas and projects of scientists, managers and consumers on creation of product innovations. Investment activity is the main aspect of functioning of any commercial organisation, since company's development is connected with a more rational investment of resources into different types of company's assets, acquisition of which is necessary for carrying out production of products and services. The article shows that attention to the problem of attraction of investments into Ukrainian science intensive production is growing constantly during the past decade. The potential of the science intensive sector of high technologies is attractive for investors, however, slow development of investment processes testify to inefficiency of its use and point at existence of certain reasons that slow down these processes. Having conducted the study the author states that attraction of investments is one of the most important starting points for achievement of significant final results of economic activity of science intensive companies and investment attractiveness of science intensive companies is a generalised characteristic of subjects, their competitive advantages and shortcomings from the point of view of an individual investor by the formed criteria.

Suggested Citation

  • Buhun Yuriy V., 2013. "Investment Attractiveness of Science Intensive Companies in Ukraine," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 7, pages 149-154.
  • Handle: RePEc:idp:bizinf:y:2013:i:7:p:149_154

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    References listed on IDEAS

    1. Anderson, Raymond, 2007. "The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation," OUP Catalogue, Oxford University Press, number 9780199226405.
    2. B. Baesens & T. Van Gestel & M. Stepanova & D. Van Den Poel, 2004. "Neural Network Survival Analysis for Personal Loan Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/281, Ghent University, Faculty of Economics and Business Administration.
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