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Introduction to Knowledge Management                                   3



               not intended to replace individual knowledge but to complement it by making it
               stronger, more coherent, and more broadly applied. Knowledge management repre-
               sents a deliberate and systematic approach to ensure the full utilization of the
               organization ’ s knowledge base, coupled with the potential of individual skills, com-
               petencies, thoughts, innovations, and ideas to create a more effi cient and effective
               organization.
                 Increasingly, companies will differentiate themselves on the basis of what they know. A relevant
               variation on Sidney Winter’s defi nition of a business fi rm  as an organization that knows how to do
               things  would defi ne a business fi rm that thrives over the next decade as  an organization that knows
               how to do new things well and quickly . ( Davenport and Prusak 1998 , 13)
                    Knowledge management was initially defi ned as the process of applying a system-
               atic approach to the capture, structuring, management, and dissemination of knowl-
               edge throughout an organization to work faster, reuse best practices, and reduce costly
               rework from project to project (Nonaka and Takeuchi, 1995; Pasternack and Viscio
               1998; Pfeffer and Sutton, 1999; Ruggles and Holtshouse, 1999). KM is often character-
               ized by a  pack rat  approach to content:  “ save it, it may prove useful some time in the
               future. ”  Many documents tend to be warehoused, sophisticated search engines are
               then used to try to retrieve some of this content, and fairly large-scale and costly KM
               systems are built. Knowledge management solutions have proven to be most successful
               in the capture, storage, and subsequent dissemination of knowledge that has been
               rendered explicit — particularly lessons learned and best practices.
                    The focus of intellectual capital management (ICM), on the other hand, is on those
               pieces of knowledge that are of  business value  to the organization — referred to as intel-
               lectual capital or assets.  Stewart (1997)  defi nes intellectual capital as  “ organized knowl-
               edge that can be used to produce wealth. ”  While some of these assets are more visible
               (e.g., patents, intellectual property), the majority consists of know-how, know-why,
               experience, and expertise that tends to reside within the head of one or a few employ-
               ees ( Klein 1998 ;  Stewart 1997 ). ICM is characterized less by content — because content
               is fi ltered and judged, and only the best ideas re inventoried (the top ten for example).
               ICM content tends to be more representative of the real thinking of individuals (con-
               textual information, opinions, stories) because of its focus on actionable knowledge
               and know-how. The outcome is less costly endeavors and a focus on learning (at the
               individual, community, and organizational levels) rather than on the building of
               systems.
                    A good defi nition of knowledge management would incorporate both the capturing
               and storing of knowledge perspective, together with the valuing of intellectual assets.
               For example:
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