DATA, INFORMATION AND KNOWLEDGE

Central to the discussion are issues related to the differences between data, information and knowledge. Fundamental to the discourse in the KM literature, we note, are discussions concerning the differences between knowledge and information and data . As they have different characteristics it is possible to establish a clear boundary between knowledge and information .

Data may be regarded as a commodity, value is added to data when they are processed into information and in turn information gains further value when it is applied in new contexts becoming transformed into enterprise specific knowledge. Knowledge is also defined as information to which experience, context, interpretation and reflection are added by individuals so that it becomes a high value form of information . In these circumstances knowledge can be utilised in novel ways - making predictions, for example – thereafter being retained within the organisation as organisational knowledge. Contextualised knowledge is regarded as the outcome, or product, of a learning process , . Because it becomes owned as organisational, such knowledge is sticky in the sense that it is both localised and contextualised And thus it is argued that organisational knowledge is socially constructed because its added value derives from an intra-organisational social process – the process of sharing.

Information according to Blumentitt and Johnston (1999) gains further value when it is used in new contexts and is transformed into enterprise specific knowledge in the process.

Once these definitions are clarified and perhaps considered as a sliding scale, as Stair et al (1999) propose, it is attempting to categorise knowledge itself that becomes of interest.

These viewpoints link with Davenport’s general definition through the added value that is derived from the intra-organisational context and the process of sharing, and it may be that this is the most important kind of knowledge for any individual organisation. These definitions are more linked to the effects of knowledge on an organisation rather than precise definitions of knowledge itself.

When considering organisational knowledge and the management of this knowledge, what we need to ensure is that this is not seen simply as the acquisition of more data and information (Coakes & Sugden 2000) Effective knowledge management is more about managing the human resource than about managing the technology. ‘People will be the biggest factor in determining the success or failure of knowledge management by the quality of their decisions’ (Taylor 1998). Knowledge management thus becomes concerned with people management, and social interaction/communication and learning: a sociotechnical issue which is the study of the relationships and inter-relationships between the social and technical parts of any system.

Click Here Introduction Click Here Views About KM in the Organisation
Click Here Data, Information & Knowledge Click Here Knowledge Management Payoff
Click Here  Explicit & Tacit Knowledge Click Here Conclusions & References

There is also a map available for the Knowledge Management
Review section

© 2003 The OR Society

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