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Classification and selection of tools for quality knowledge management

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journal contribution
posted on 05.06.2014, 11:16 by Suzi Holland, Ray DawsonRay Dawson
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.

History

School

  • Science

Department

  • Computer Science

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.

Publisher

© Springer Verlag

Version

SMUR (Submitted Manuscript Under Review)

Publication date

2011

Notes

The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-010-9121-8

ISSN

0963-9314

eISSN

1573-1367

Language

en