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|Title: ||Classification and selection of tools for quality knowledge management|
|Authors: ||Holland, Suzi|
|Keywords: ||Knowledge management tools|
|Issue Date: ||2011|
|Publisher: ||© Springer Verlag|
|Citation: ||HOLLAND, S.J. and DAWSON, R.J., 2011. Classification and selection of tools for quality knowledge management. Software Quality Journal, 19 (2), pp.393-409.|
|Abstract: ||Abstract Knowledge managers need to select which knowledge management tool to use for any
given problem and problem environment. The graphical tool, named the “House of Knowledge
Management Tool Selection” is proposed, based on the House of Quality Matrix used in the
quality function deployment methodology. A simple case study is described that acts as a proof of
concept to show the House of Knowledge Management Tool Selection can systematically evaluate
potential tools to solve a knowledge management problem.
To help identify the tools to populate the house, an examination was undertaken of how
knowledge management tools had previously been listed and classified, but these existing
classifications were found to be of little help. No classification existed that categorised the tools in
terms of the knowledge problems they helped resolve, yet this classification would seem more
useful for knowledge managers.
To meet this need, knowledge problems were divided into ten subtypes and the knowledge
management tools where then categorised according to their effectiveness at solving each subtype.
This new classification was flexible enough to include all types of knowledge management tools
and could also change with each problem environment. It was found to give a greater
understanding of the knowledge management tools in the context of a particular knowledge
problem and it could therefore help populate the house tool.
The House of Knowledge Management Tool Selection is a promising development of a tool that should be able to become an essential part of a manager’s decision making toolkit.|
|Description: ||The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-010-9121-8|
|Version: ||Submitted for publication|
|Publisher Link: ||http://dx.doi.org/10.1007/s11219-010-9121-8|
|Appears in Collections:||Pre-Prints (Computer Science)|
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