Sharing Knowledge When it Cannot be Made Explicit: The Case of Product Lifecycle Management Systems
| Autor: | Julien Le Duigou, Benoît Eynard, Pierre-Emmanuel Arduin, Marie-Hélène Abel |
|---|---|
| Přispěvatelé: | Dauphine Recherches en Management (DRM), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Roberval (Roberval), Université de Technologie de Compiègne (UTC), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
021103 operations research Knowledge management business.industry Computer science Interpretation (philosophy) Interoperability 0211 other engineering and technologies 02 engineering and technology Variance (accounting) Ontology (information science) Preference 020901 industrial engineering & automation Product lifecycle Tacit knowledge Information system JEL: M - Business Administration and Business Economics • Marketing • Accounting • Personnel Economics/M.M5 - Personnel Economics/M.M5.M54 - Labor Management Information systems [SHS.GESTION]Humanities and Social Sciences/Business administration business |
| Zdroj: | International Journal of Knowledge-Based Organizations International Journal of Knowledge-Based Organizations, 2018, 8 (4), pp.14-28. ⟨10.4018/IJKBO.2018100102⟩ |
| Popis: | International audience; Information systems often strengthen a preference for working alone: interoperability as much as interpretation variance restrain the ability of people and systems to interact and to work together within an extended enterprise. In this article, the authors propose to extend product lifecycle management (PLM) systems in order to share not only (1) knowledge that has been made explicit and which is strongly contextualized so that there is no interpretation variance, but also (2) knowledge that cannot be made explicit and which remains tacit knowledge, needing social interaction and shared understanding to be actually shared. The use of a collaborative platform is proposed in this article in order to allow stakeholders to produce a shared understanding of what a concept means through the use of ontologies. The conditions as well as the limits of the proposition are discussed at the end of this article. |
| Databáze: | OpenAIRE |
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