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

Pierre-Emmanuel Arduin (), Camille Rosenthal-Sabroux and Michel Grundstein
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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

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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.

Keywords: Decision-making process; Information systems; Knowledge management; Tacit knowledge (search for similar items in EconPapers)
Date: 2014
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Published in Information Systems for Knowledge Management, pp.131-158, 2014, ⟨10.1002/9781118920664.ch5⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01507097

DOI: 10.1002/9781118920664.ch5

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