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Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps

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Knowledge Management in Organizations (KMO 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 224))

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Abstract

Both direct and indirect effects have been observed in the relationships between knowledge management processes. Previous attempts have examined only the static nature of these processes. We employ fuzzy cognitive map to show the dynamics in the relationships. The designed model enables concurrent simulation of both direct and indirect effects of knowledge processes on innovation activity. We also show that hyperbolic tangent activation function is the most appropriate one for the modelling of the intrinsic characteristics of knowledge processes. Our results suggest that the indirect effects (via knowledge creation) are stronger in the case of knowledge organization and knowledge acquisition, respectively. The performed sensitivity analysis supports the critical role of the process of knowledge creation.

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Acknowledgments

This article was created as a part of the solution of the research task No. SGSFES_2015001, financially supported by Student Grant Competition, and No. 14-02836S, financially supported by the Grant Agency of the Czech Republic.

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Authors and Affiliations

  1. Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Studentska 84, 532 10, Pardubice, Czech Republic

    Ondrej Prochazka & Petr Hajek

Authors
  1. Ondrej Prochazka
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  2. Petr Hajek
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Correspondence to Petr Hajek .

Editor information

Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, United Kingdom

    Lorna Uden

  2. University of Maribor, Maribor, Slovenia

    Marjan Heričko

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

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Prochazka, O., Hajek, P. (2015). Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps. In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-21009-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21008-7

  • Online ISBN: 978-3-319-21009-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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