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Competence-Based Management of Knowledge Workers in Project-Oriented Organizations

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Knowledge Science, Engineering and Management (KSEM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7091))

Abstract

The article proposes the decision support method for selection of project team members basing on their knowledge, experience and collaboration skills. According to project management best practices presented in the article, successful selection of project team members requires formal model of knowledge as well as accurate measures of knowledge worker performance in completing assigned project tasks. The method is driven by the model of competence that meets these requirements by providing quantitative analysis of knowledge and skills as well as employing methods of mathematical programming and elements of fuzzy sets theory. The author of the paper proposes the multiple criteria decision approach for project team building based on the quantitative method for competence analysis of project team members.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Systems, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210, Szczecin, Poland

    Bartłomiej Małachowski

Authors
  1. Bartłomiej Małachowski
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Editor information

Editors and Affiliations

  1. Management Science and Information Systems Department, Rutgers, the State University of New Jersey, 1, Washington Park, 07102, Newark, NJ, USA

    Hui Xiong

  2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

    W. B. Lee

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Małachowski, B. (2011). Competence-Based Management of Knowledge Workers in Project-Oriented Organizations. In: Xiong, H., Lee, W.B. (eds) Knowledge Science, Engineering and Management. KSEM 2011. Lecture Notes in Computer Science(), vol 7091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25975-3_25

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  • DOI: https://doi.org/10.1007/978-3-642-25975-3_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25974-6

  • Online ISBN: 978-3-642-25975-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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