Knowledge Generation Strategies: Empirical Analysis of Industrial Enterprises / Panikarova S., Vlasov M. // Journal of Information and Knowledge Management. - 2016. - V. 15, l. 2.

ISSN:
02196492
Type:
Article
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. © 2016 World Scientific Publishing Co.
Author keywords:
innovation; knowledge management; resources; Strategy
Index keywords:
нет данных
DOI:
10.1142/S0219649216500180
Смотреть в Scopus:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971280175&doi=10.1142%2fS0219649216500180&partnerID=40&md5=151e668986e96d93638cb56cb0493723
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Другие поля
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Art. No. 1650018
Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971280175&doi=10.1142%2fS0219649216500180&partnerID=40&md5=151e668986e96d93638cb56cb0493723
Affiliations Ural Federal University, Ekaterinburg, Russian Federation
Author Keywords innovation; knowledge management; resources; Strategy
Funding Details RAS, Russian Academy of Sciences
Funding Text The research is supported by the grant of President of Russian Federation Project MD - 5743.2016.6 and Collaborative Program of the Ural Federal University/Ural Branch of the Russian Academy of Sciences Project No. 14-921-6-3.
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Publisher World Scientific Publishing Co. Pte Ltd
Language of Original Document English
Abbreviated Source Title J. Inf. Knowl. Manage.
Source Scopus