From data to knowledge and back again: Understanding the limitations of KMS

Researchers in the field of information systems (IS) view IT-enabled knowledge management solutions as novel approaches to the stimulation of creativity and innovation in post-industrial organizations; hence, the focus by researchers on the role of information and communication technologies (ICT) in enabling and supporting knowledge work. However, despite some success stories, recent research indicates that the majority of knowledge management systems (KMS) have been unsuccessful. This situation has led some to voice deep-seated concerns about the knowledge management paradigm and its influence on the IS field—particularly the belief that IT can help capture, store and transfer knowledge. This paper's objective is to deepen the IS field's understanding of the limitations and capabilities of knowledge management systems. A case study of an Irish software vendor's experiences in developing KMS using case-based reasoning technologies is undertaken to help achieve this objective. The findings of this study illustrate that: (a) the KMS developed in the organization studied did not meet the claims of their creators, as the applications provided a poor approximation of the ‘horizons of understanding’ of domain experts whose knowledge these systems purported to capture, store and transfer; (b) the ontological and epistemological perspectives of developers were overtly functionalist in orientation and were insensitive to the socially constructed and institutional nature and context of knowledge. The findings lend weight to the claim that information technology deals with data only, and knowledge management requires social as opposed to technical support, in that appropriate institutional mechanisms, rather that technological solutions, constitute the corporate memory.