audits but focus on which assets exist and their state and importance
— at times also their value.
Typical Tacit Knowledge Asset Categories: Who are the knowl-
edgeable people, what is their level of expertise, how many are there,
and
where are they located; what knowledge and expertise do the
people possess in terms of core knowledge, experience, and other
qualifications; which jobs and functions do people perform; what new
knowledge are people creating, sharing, learning — on the job, etc.
Typical Explicit Knowledge Asset Categories: Which
structural
knowledge and IC assets exist within the enterprise — numbers, types
and categories of documents, databases, libraries, intranet web sites;
where are the knowledge assets located — within departments and
within repositories (such as databases, documents, etc.); how are the
knowledge assets
organized and represented, and how can they be
accessed and utilized; why do these resources exist, how relevant and
appropriate are they for that purpose, are they of good “quality” (e.g.
up-to-date, reliable, evidence-based, etc.);
what are the values of the
knowledge and IC assets — market value; where and how are the assets
utilized, and how much economic value do they create in utilization.
Purpose: KAM and IC are used to identify and categorize IC assets
to understand opportunities and shortcomings for operation and
overall enterprise success. In detail, the purpose is to provide infor-
mation required to set priorities, to identify which actions need to be
taken and which possibilities exist for leveraging IC assets.
Knowledge Landscape Mapping
Knowledge landscape mapping (KLM)
is quite detailed and
requires considerable effort over periods of a few weeks or stretch-
ing to several months in some instances. It provides important details
for focusing on particular knowledge-related areas that need man-
agement attention. There are several reasons for undertaking KLMs.
When an enterprise first becomes concerned with KM, the major
reason is to understand what the KM focus should be and to iden-
tify areas that should receive priority management attention. Later,
after KM is an established practice,
understanding the knowledge
landscape is a requirement to shape the continued knowledge man-
agement effort — practices, programs, projects, infrastructure ele-
ments, policies and procedures, etc.
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Examples of Knowledge Management Analysis Approaches
285
After the initial KM thrust has matured, regular KLM is required
to monitor enterprisewide KM effectiveness
and to discover new
opportunities such as cross-departmental knowledge sharing and
opportunities for new strategic directions.
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