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La gestion de la recherche collaborative d'information dans le cadre du processus d'intelligence économique

Abstract : The management of an organisation's internal and external information is a determinant factor for the success of economic intelligence (EI) process with the goal of resolving decision problem. Information collection and analysis among EI actors necessitate a collaboration process. This dissertation centres on managing collaborative information retrieval (CIR) within the context of EI in order to facilitate decision problem resolution. We proposed two models and developed a collaborative information retrieval system (CIRS) to manage collective activities and to facilitate synchronous and explicit collaboration among users during information retrieval (IR) process. The first model is a collaboration pyramid made up of six important phases necessary for the success of collaborative information retrieval (CIR). These phases include: (1) initial trust phase, (2) consensus building phase, (3) communication phase, (4) knowledge sharing phase, (5) group awareness phase and (6) division of labour phase. The second model is a communication model for collaborative information retrieval (COCIR). This model is a representation of the collaborative context for knowledge sharing in IR. The attributes of this model facilitate the contextualisation of interactions during collaboration in order to manage expressed knowledge and consequently allow knowledge sharing among collaborators. The two models were implemented in a CIRS called MECOCIR which we developed to validate our propositions.
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Submitted on : Thursday, March 29, 2018 - 11:52:09 AM
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Victor Odumuyiwa. La gestion de la recherche collaborative d'information dans le cadre du processus d'intelligence économique. Sciences de l'information et de la communication. Université Nancy 2, 2010. Français. ⟨NNT : 2010NAN21014⟩. ⟨tel-01748886⟩



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