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Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making

Author

Listed:
  • Pierre-Emmanuel Arduin

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Camille Rosenthal-Sabroux

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Michel Grundstein

Abstract

This chapter introduces an approach aiming to evaluate the level of tacit knowledge consideration during collaborative decision-making processes within information systems. The presented approach relies on original theories in the area of collaborative decision-making and information systems. The link between knowledge management and information systems for collaborative decision-making can be considered as an accepted source of improvements by the organizations. Research has shown that considering tacit knowledge within information systems improves collaborative decision-making. Evaluating the level of tacit knowledge consideration during collaborative decision-making processes within information systems could improve these processes. The approach is illustrated with a case study, which has currently been tested within several large companies, and which could be improved in future studies.

Suggested Citation

  • Pierre-Emmanuel Arduin & Camille Rosenthal-Sabroux & Michel Grundstein, 2014. "Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making," Post-Print hal-01507097, HAL.
    • Handle: RePEc:hal:journl:hal-01507097
    DOI: 10.1002/9781118920664.ch5
    as

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