A Framework
for Characterizing Knowledge Management Methods, Practices, and
TechnologiesBrian
Newman, Kurt W. Conrad
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Abstract Knowledge management is not one single discipline.
Rather, it an integration of numerous endeavors and fields of study.
This paper provides a framework for characterizing the various tools
(methods, practices and technologies) available to knowledge management
practitioners. It provides a high-level overview of a number of
key terms and concepts, describes the framework, provides examples
of how to use it, and explores a variety of potential application
areas.
Introduction
Over the past several years, a number of authors have proposed a
variety of approaches for classifying the tools (methods, practices
and technologies) that typically comprise knowledge management systems.
This is not the first attempt to develop a framework for organizing
and understanding knowledge management tools. And, given the emerging
practices and changing understanding of knowledge management, it
will not be the last.
As with any discipline that lacks a recognized unifying paradigm,
various views will
emerge, each based on what can be readily observed or what can be
applied from
practices associated with other disciplines. Likewise, as individuals
encounter particular
phenomena, they tend to describe and interpret them in different
ways (Kuhn, 1996).
The following working definition of knowledge management frames
the discussion:
knowledge management is a discipline that seeks to improve the performance
of
individuals and organizations by maintaining and leveraging the
present and future value
of knowledge assets. Knowledge management systems encompass both
human and
automated activities and their associated artifacts.
From this perspective, knowledge management is not so much a new
practice as it is an integrating practice. It offers a framework
for balancing the myriad of technologies and approaches that provide
value, tying them together into a seamless whole. It helps
analysts and designers better address the interests of stakeholders
across interrelated
knowledge flows and, by doing so, better enables individuals, systems
and organizations to exhibit truly intelligent behavior in multiple
contexts. continua >>>
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