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Note-taking as a main feature in a social networking platform for small and medium sized enterprises

Authors :
Claude Moulin
Sabine Bruaux
Ala Atrash
Frédéric Huet
Nathalie Darène
Marie-Hélène Abel
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc)
Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS)
Connaissance Organisation et Systèmes TECHniques (COSTECH)
Université de Technologie de Compiègne (UTC)
France Business School (France Business School)
France Business School
région picardie
Source :
Computers in Human Behavior, Computers in Human Behavior, Elsevier, 2015, 51, pp.705-714. ⟨10.1016/j.chb.2014.12.010⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

We justify the role of taking notes and annotations within SMEs.We present an original semantic model for taking notes and annotations.Note and annotation are modeled as information resources.We present a collaborative web platform which is based on the semantic model. Managing knowledge (especially tacit knowledge) in small and medium sized enterprises has always been a challenge. They have special characteristics that are related to their size, structure and their members' coordination and collaboration. Theses specifications affect the process of knowledge management in such enterprises. In addition, they suffer from the missing of codified and standardized supports. All these factors illustrate the urgent need to provide them with an appropriate knowledge management solution. In this paper, the special needs for knowledge management in this kind of enterprises is illustrated. The importance of an effective note-taking tool is justified. A semantic model that takes into account these needs is presented. In addition, we explain our choice of MEMORAe web platform as a tool for knowledge organization. We also clarify the functionalities which have been added to MEMORAe platform in order to be dedicated to these enterprises. Finally, the web platform is introduced.

Details

Language :
English
ISSN :
07475632
Database :
OpenAIRE
Journal :
Computers in Human Behavior, Computers in Human Behavior, Elsevier, 2015, 51, pp.705-714. ⟨10.1016/j.chb.2014.12.010⟩
Accession number :
edsair.doi.dedup.....2268a55c63cc4b2d737c2c485d2f9c61
Full Text :
https://doi.org/10.1016/j.chb.2014.12.010⟩