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International Conference on Knowledge Management in Organizations

KMO 2018: Knowledge Management in Organizations pp 48–59Cite as

Deep Leadership and Knowledge Management: Conceptual Framework and a Case Study

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 877))

Abstract

The aim of this paper is to bring together in to the same organizational framework the concepts of Deep Leadership and Knowledge Management. We propose that when synchronizing the four loops of learning, the organization will achieve a permanent competitive advantage. A case study of knowledge transfer from Finland to China based on private company structures is presented. As a conclusion bigger emphasis should be placed on knowledge transfer and competence development of local personnel both at team and individual levels.

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Author information

Authors and Affiliations

  1. University of Helsinki, Helsinki, Finland

    Vesa Nissinen

  2. University of Lapland, Rovaniemi, Finland

    Vesa Nissinen

  3. Finnish Defense Forces Research Agency, Helsinki, Finland

    Vesa Nissinen

  4. Helsinki University of Technology, Espoo, Finland

    Ismo Laukkanen

  5. ABB, Zürich, Switzerland

    Ismo Laukkanen

Authors
  1. Vesa Nissinen
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  2. Ismo Laukkanen
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Corresponding author

Correspondence to Vesa Nissinen .

Editor information

Editors and Affiliations

  1. School of Computing, Staffordshire University, Stafford, United Kingdom

    Lorna Uden

  2. University of Žilina, Žilina, Slovakia

    Branislav Hadzima

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

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Nissinen, V., Laukkanen, I. (2018). Deep Leadership and Knowledge Management: Conceptual Framework and a Case Study. In: Uden, L., Hadzima, B., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2018. Communications in Computer and Information Science, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-319-95204-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-95204-8_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95203-1

  • Online ISBN: 978-3-319-95204-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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