The Importance Of Knowledge Management
First, "Learning" is a verb. It is the process of finding (or inventing) patterns from chaos. If we start with an ordered understanding we can't learn, because we already "know" the patterns and relationships. Thus, when people complain about the "chaos" and lack of structure in a free-form intranet, think of it not as a problem, but as a fertile base of materials for organizational learning.
Knowledge, on the other hand, is the repository of what we already have learned. It may be explicit, as in books or intranet content, or it may be implicit as in relationships and processes that may not be …show more content…
When the potential "learner" confronts an unkown (conceptually chaotic) situation, there are three ways in which he can learn.
1. He can search the knowledge base to see if the situation has been encountered before and the answer already is known. If it is, he either learns it from the organizational knowledge base, or recalls it from his own (mental) knowledge base.
2. He can find several "related" but not exact cricumstances and derive an answer by recombining pieces of knowledge from the knowledge base, creating new knowledge in the process.
3. He can generate new knowledge, usually by creating action and noting the response. When we do this in a structured way, we call it scientific research. When we do it in a random way, we call it hit and miss or accident. Note that we call the understanding that we get from our failures "wisdom." Wisdom comes from experience, not from an organizational knowledge base.
An intranet relates to learning organizations in the following way. The intranet is not only a powerful communication medium but also a knowledge base. It has advantages over previous digital knowledge bases in that it more easily captures and handles unstructured and implicit knowledge (in contrast, DBMSs require very structured schemas to be …show more content…
Typical examples of this kind of system include informal CoP discussion databases, Idea Management systems, and to an extent, KM helpdesks and certain types of focused collaboration tools. DKS’ tend to rely on elements of interaction in the knowledge sharing process that is absent in other types of knowledge systems. As a result of the interaction, knowledge is not just captured, but frequently built on, improved, and challenged. This leads to the increased creation of new knowledge and innovation. In addition, due to the problem solving format of DKS’, the output is knowledge that is in an actionable format, in contrast to the learning format of