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Knowledge Management Performance Measurement: A Generic Framework

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Databases and Information Systems (DB&IS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 615))

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Abstract

This theoretical article aims to propose a generic framework for measuring performance of Knowledge Management (KM) projects based on critical literature review. The proposed framework fills the existing gap on KM performance measurement in two points: (i) it provides a generic tool that is able to assess all kinds of KM project as well as the overall organization KM, (ii) it assesses KM projects according to KM objectives in a generic manner. Our framework (GKMPM) relies on a process reference model that provides a KM common understanding in a process based view. It is based on a goal-oriented measurement approach and considers that KM performance dimensions are stakeholder’s objectives. The framework application follows a procedural approach that begins with the KM project modelling, followed by the objectives prioritization. The next step consists of collecting and analysing data for pre-designed measures, and produces a set of key performance indicators (KPIs) related to the KM project processes and in accordance with its objectives.

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Authors and Affiliations

  1. ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

    Latifa Oufkir, Mounia Fredj & Ismail Kassou

Authors
  1. Latifa Oufkir
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  2. Mounia Fredj
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  3. Ismail Kassou
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Corresponding author

Correspondence to Latifa Oufkir .

Editor information

Editors and Affiliations

  1. University of Latvia, Riga, Latvia

    Guntis Arnicans

  2. University of Latvia, Riga, Latvia

    Vineta Arnicane

  3. University of Latvia, Riga, Latvia

    Juris Borzovs

  4. University of Latvia, Riga, Latvia

    Laila Niedrite

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© 2016 Springer International Publishing Switzerland

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Oufkir, L., Fredj, M., Kassou, I. (2016). Knowledge Management Performance Measurement: A Generic Framework. In: Arnicans, G., Arnicane, V., Borzovs, J., Niedrite, L. (eds) Databases and Information Systems. DB&IS 2016. Communications in Computer and Information Science, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-40180-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-40180-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40179-9

  • Online ISBN: 978-3-319-40180-5

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