Inproceedings,

A Dynamic Grouping Technique for Distributing Codified-Knowledge in Large Organizations

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Proceedings of the 10th Workshop on Information Technology and Systems, Brisbane Australia, (December 2000)

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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