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Managing knowledge management tools: a systematic classification and comparison

Author

Listed:
  • Yang Xu

    (USTB - University of Science and Technology Beijing [Beijing])

  • Alain Bernard

    (ECN - École Centrale de Nantes)

  • Nicolas Perry

    (I2M - Institut de Mécanique et d'Ingénierie de Bordeaux - INRA - Institut National de la Recherche Agronomique - UB - Université de Bordeaux - ENSAM - École Nationale Supérieure d'Arts et Métiers - Arts et Métiers Sciences et Technologies - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - Institut Polytechnique de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Lian Lian

    (Departement of Transportation and Logistics - Dalian University of Technology)

Abstract

Knowledge management (KM) is playing an important role in commercial and academic activities, and people are usually armed with effective KM tools for implementation. On one hand, KM tools can facilitate KM activities; however, on the other hand, with the "explosion" of KM tools development, people may feel confused about which to choose or which is more suitable. As a result, KM tools should be managed, so this paper aims at making a systematic classification and comparison research and proposes a KM tools selection strategy based on a point of view on knowledge lifecycle.

Suggested Citation

  • Yang Xu & Alain Bernard & Nicolas Perry & Lian Lian, 2011. "Managing knowledge management tools: a systematic classification and comparison," Post-Print hal-00804267, HAL.
    • Handle: RePEc:hal:journl:hal-00804267
    Note: View the original document on HAL open archive server: https://hal.science/hal-00804267
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    Cited by:

    1. Florian Johannsen & Hans-Georg Fill, 2017. "Meta Modeling for Business Process Improvement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 251-275, August.

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