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Knowledge Generation Strategies: Empirical Analysis of Industrial Enterprises

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  • Svetlana Panikarova

    (Ural Federal University, Ekaterinburg, Russia)

  • Maxim Vlasov

    (Ural Federal University, Ekaterinburg, Russia)

Abstract

The aim of the research is to develop theory and practice of strategic planning in the field of knowledge generation as competitiveness factors of economic entities. The paper presents results of empirical researches of knowledge generation strategies that the Russian industrial enterprises realise. This study focuses on analysis of microdata (enterprise level) as the key instrument to reveal facts and hypotheses describing the innovation activities depending on different types of changed resource, quantity of new products made by the company, structure of costs for different types of knowledge, profit growth. The idea locates about strategies generation of different types of knowledge (operational, structural, functional) considerably differ. The authors prove that effective innovative company development, particularly in the difficult economic condition, stresses the importance of organising optimal cost structure for different types of knowledge. It is strategic knowledge management based on company strategy, its aims and growth trends that gives the most significant effect in the field of providing competitiveness.

Suggested Citation

  • Svetlana Panikarova & Maxim Vlasov, 2016. "Knowledge Generation Strategies: Empirical Analysis of Industrial Enterprises," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-11, June.
    • Handle: RePEc:wsi:jikmxx:v:15:y:2016:i:02:n:s0219649216500180
    DOI: 10.1142/S0219649216500180
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    References listed on IDEAS

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