By Ettore Bolisani, Meliha Handzic
This e-book celebrates the earlier, current and way forward for wisdom administration. It brings a well timed assessment of 2 a long time of the amassed background of information administration. by means of monitoring its starting place and conceptual improvement, this evaluate contributes to the enhanced figuring out of the sector and is helping to evaluate the unresolved questions and open issues.
For practitioners, the publication presents a transparent facts of worth of data administration. classes learnt from implementations in enterprise, govt and civil sectors aid to understand the sector and achieve important reference issues. The ebook additionally offers tips for destiny examine by means of drawing jointly authoritative perspectives from humans at the moment dealing with and interesting with the problem of data administration, who sign a shiny destiny for the field.
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Additional resources for Advances in Knowledge Management: Celebrating Twenty Years of Research and Practice
Cox, A. (2007). Reproducing knowledge: Xerox and the story of knowledge management. Knowledge Management Research and Practice, 5(1), 3–12. kmrp. 8500118. , & Olphert, W. (2000). Barriers and facilitators to the use of knowledge management systems. Behaviour and Information Technology, 19(6), 405–413. Earl, M. (2001). Knowledge management strategies: Toward a taxonomy. Journal of Management Information Systems, 18(1), 215–233. , & Sullivan, P. (1996). Developing a model for managing intellectual capital.
One common approach, originating in computer science, is based on the idea of data leading to information which in turn leads to knowledge. There are several slightly different views of this relationship, but they can be summarised as follows. Data consist of unprocessed facts and observations. Data are transformed into information by adding context; selecting and processing the data to be relevant to a specific person or issue (and usually both, since the relevance of the issue is determined by one or more people).
Explicit or codified knowledge refers to knowledge that is transmittable in formal, systematic language. On the other hand, tacit knowledge has a personal quality, which makes it hard to formalize and communicate” (Nonaka 1994, p. 16). The tacit-explicit distinction was popularised in the context of KM by Nonaka and Takeuchi (1995) as part of their SECI model (see later in this section). As such, this distinction is also perhaps one of the most widely misunderstood concepts in KM, as many authors have taken it to mean that any particular “piece of knowledge” can be categorized as either tacit or explicit.