Abstract
nformation overload is a major problem plaguing
the “mailing lists” approach to knowledge
distribution. A recent trend towards resolving the
problem is to distribute information to
organizational members according to their
individual needs. In this paper, we propose a new
technique, referred to as “dynamic grouping”, for
distributing codified knowledge in large
organizations. To enable dynamic grouping, we
develop a data structure called “organizational
concept space” (OCS) consisting of a similarity
network and an interest matrix. One major
advantage of the dynamic grouping technique is
that it can reduce information overload while
avoiding information starvation by accommodating
different levels of user demand for knowledge.
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