Towards defining dimensions of knowledge systems quality

  • Authors:
  • Lila Rao;Kweku-Muata Osei-Bryson

  • Affiliations:
  • The University of the West Indies, Mathematics and Computer Science, Mona, Kingston 7, Kingston, Jamaica;Department of Information Systems & The Information Systems Research Institute, Virginia Commonwealth University, Richmond, VA 23284, USA

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2007

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Abstract

Knowledge management systems (KMS) are extremely important for organisations, primarily because they help to manage a key organisational resource - intellectual capital with the potential to produce a competitive advantage. The usefulness of this resource, however, is only as good as the quality of the knowledge that it contains. In order to improve the quality of KMS, a set of test measures is required. The purpose of this paper is to define some dimensions that can be used to measure the quality of the knowledge management system and to compare KMS quality across systems.