Competence management in knowledge intensive organizations using consensual knowledge and ontologies

Chris Kimble (), José Braga Vasconcelos and Álvaro Rocha
Additional contact information
José Braga Vasconcelos: University Atlântica
Álvaro Rocha: University of Coimbra

Information Systems Frontiers, 2016, vol. 18, issue 6, No 7, 1119-1130

Abstract: 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; Consensual knowledge; Knowledge intensive organizations; Knowledge management; Ontologies; Tacit knowledge (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-016-9627-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Competence management in knowledge intensive organizations using consensual knowledge and ontologies (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:18:y:2016:i:6:d:10.1007_s10796-016-9627-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-016-9627-0

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().