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Knowledge-management in managerial work of business management

Author

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  • E. Svoboda

    (Mendel University of Agriculture and Forestry, Brno, Czech Republic)

Abstract

The paper presents the results of the research projects with their applications in enterprise practice, in the sphere of strategic control of enterprise management focused on the methods of decision-making enabling an enterprise to respond to changes in the entrepreneurial environment. Rapid changes, principally in the external environment, require the business management to select new approaches and methods of decision-making and to have a well conceived algorithm enabling a flexible response to customers' wishes using findings of knowledge management. The paper presents the results of applying the methods of BSG and SPACE analysis, namely during the years 1998-2006. The sphere of business of the company is also analysed using the correlation-table analysis method. All actions are focused on obtaining and maintaining the competitive advantage of the firm.

Suggested Citation

  • E. Svoboda, 2007. "Knowledge-management in managerial work of business management," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 53(7), pages 298-303.
    • Handle: RePEc:caa:jnlage:v:53:y:2007:i:7:id:1152-agricecon
    DOI: 10.17221/1152-AGRICECON
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    References listed on IDEAS

    as
    1. I. Tichá & J. Hron, 2006. "Knowledge in the business strategy context," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 52(1), pages 7-11.
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    Citations

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    Cited by:

    1. Vladimír KONEČNÝ & Oldřich TRENZ & Eliška SVOBODOVÁ, 2010. "Classification of companies with theassistance of self-learning neural networks," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 51-58.
    2. M. Odehnalová, 2009. "Increasing the company's performance in knowledge society," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 55(3), pages 134-138.
    3. S. Aly & I. Vrana, 2008. "Evaluating the knowledge, relevance and experience of expert decision makers utilizing the Fuzzy-AHP," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(11), pages 529-535.
    4. Jiří ŠŤASTNÝ & Vladimír KONEČNÝ & Oldřich TRENZ, 2011. "Agricultural data prediction by means of neural network," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(7), pages 356-361.

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