Information Systems for Knowledge Management

  • 4h 47m
  • Camille Rosenthal-Sabroux, Faïez Gargouri (eds), Inès Saad
  • John Wiley & Sons (US)
  • 2014

More and more organizations are becoming aware of the importance of tacit and explicit knowledge owned by their members which corresponds to their experience and accumulated knowledge about the firm activities. However, considering the large amount of knowledge created and used in the organization, especially with the evolution of information and communications technologies, the firm must first determine the specific knowledge on which it is necessary to focus. Creating activities to enhance identification, preservation, and use of this knowledge is a powerful mean to improve the level of economical performance of the organization. Thus, companies invest on knowledge management programs, in order to develop a knowledge sharing and collaboration culture, to amplify individual and organizational learning, to make easier accessing and transferring knowledge, and to insure knowledge preservation. Several researches can be considered to develop knowledge management programs supported by information and knowledge systems, according to their context, their culture and the stakeholders' viewpoints.

In this Book

  • Assessing the Community Maturity from a Knowledge Management Perspective
  • Social Networks: Leveraging User Social Data to Empower Collective Intelligence
  • Sociocultural Knowledge Management toward the Adaptation of a CSCL Environment
  • An Argumentation-Based Rough Set Theory for Knowledge Management
  • Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making
  • Relevant Information Management in Microblogs
  • A Legal Knowledge Management System Based on Core Ontology
  • Foundations for Core Ontology of an Organization's Process
  • A Business Process Evaluation Methodology for Knowledge Management Based on Multicriteria Decision-Making Approach
  • A Collaborative Approach for Optimizing Continuity between Knowledge Codification with Knowledge Engineering Methods and Knowledge Transfer

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