Affiliations: School of Information and Communication Technology,
Asia e University, Main Block, No 4, Jalan Sultan Sulaiman, 50000, Kuala
Lumpur, Malaysia. Tel.: +60 192663064; E-mail:
syed.malek@aeu.edu.my/smfdsm@yahoo.com
Abstract: Knowledge management is an interdisciplinary research area and it
has been perceived in different perspectives by researchers and practitioners
who come from various backgrounds. Nevertheless, the ultimate goal in knowledge
management is to create a learning organization in a knowledge sharing
environment. In a knowledge sharing environment, the learning communities are
actively involved in building and developing the community knowledge through
message postings, resource management and collaborative work besides performing
the individual learning. A system, called KFTGA, has been built in this project
that is capable to trace the knowledge flow of a pre-defined knowledge domain
developed by the community members. Knowledge in this context is in the form of
opinion, suggestions, and tangible objects from knowledge sharing activities
which are traceable from the textual descriptions. Two salient aspects in KFTGA
are having the ability to determine whether the knowledge that flows among the
members is relevant to the knowledge context in the community and to trace
whether there is a growth in knowledge building in relation to predefined
topics. In order to achieve that, this paper describes three mathematical
models for computing the relevancy of the knowledge flow, measuring the
knowledge growth and examining the variations between documents. Finally, it
elaborates how KFTGA can be applied in various knowledge sharing and knowledge
flow model predominantly known as SECI model and its extended variations
applied in virtual organizations, peer-to-peer team and multinational corporations.
Keywords: Knowledge tracing, knowledge measuring, SECI model, Web 2.0
