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Competence management in knowledge intensive organizations using consensual knowledge and ontologies

Chris Kimble (), José Vasconcelos and Álvaro Rocha

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Abstract: This article describes an architecture suitable for use in a competence management system for knowledge intensive organizations (KIOs). The underlying motivation for this work is to explore the practical problems of the use of codified knowledge in knowledge management systems (KMS) in KIOs. We explore some of the key issues associated with the use of tacit and codified knowledge in KMS, and describe an architecture based on an ontology-driven framework derived from collective and consensual knowledge that acts as a structure for a formal knowledge base. We describe, in outline, a prototype competence management system based on this architecture designed to support the management of competencies in a structured way. We conclude with some observations about our approach to the representation of knowledge in a KMS and its potential value to KIOs.

Keywords: Codified Knowledge; Competence Management; Competence Model; Competence Profile; Competency Management; Computer-Based Information System; Consensual Knowledge; Domain Ontology; Intellectual Capital; Knowledge Acquisition; Knowledge Asset; Knowledge Intensive Organizations; Knowledge Management; Ontologies; Organizational Learning; Organizational Memory; Tacit Knowledge; Talent Management (search for similar items in EconPapers)
Date: 2016-01
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Citations: View citations in EconPapers (12)

Published in Information Systems Frontiers, 2016, 18 (6), pp.1119-1130. ⟨10.1007/s10796-016-9627-0⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01260963

DOI: 10.1007/s10796-016-9627-0

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