Discussions at previous HICSS conferences have revealed that there is no general agreement on definitions of knowledge management (KM) and knowledge management system (KMS) success. We developed these concepts and presented them earlier this year. Using an expert panel approach followed by two exploratory surveys, we identify KM success measures. The research demonstrates that measures for KM success are required on multiple dimensions. This paper thus also presents a set of dimensions with measures that can be used to determine if KM in an organization is successful.
%0 Conference Paper
%1 paper:jennex:2008
%A Jennex, Murray E.
%A Smolnik, Stefan
%A Croasdell, David
%B HICSS '08: Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
%C Washington, DC, USA
%D 2008
%I IEEE Computer Society
%K 2008 KM KMS success
%P 360
%R http://dx.doi.org/10.1109/HICSS.2008.461
%T Towards Measuring Knowledge Management Success
%U http://portal.acm.org/citation.cfm?id=1334515.1334570&coll=GUIDE&dl=GUIDE
%X Discussions at previous HICSS conferences have revealed that there is no general agreement on definitions of knowledge management (KM) and knowledge management system (KMS) success. We developed these concepts and presented them earlier this year. Using an expert panel approach followed by two exploratory surveys, we identify KM success measures. The research demonstrates that measures for KM success are required on multiple dimensions. This paper thus also presents a set of dimensions with measures that can be used to determine if KM in an organization is successful.
%@ 0-7695-3075-8
@inproceedings{paper:jennex:2008,
abstract = {Discussions at previous HICSS conferences have revealed that there is no general agreement on definitions of knowledge management (KM) and knowledge management system (KMS) success. We developed these concepts and presented them earlier this year. Using an expert panel approach followed by two exploratory surveys, we identify KM success measures. The research demonstrates that measures for KM success are required on multiple dimensions. This paper thus also presents a set of dimensions with measures that can be used to determine if KM in an organization is successful.},
added-at = {2008-10-01T11:34:36.000+0200},
address = {Washington, DC, USA},
author = {Jennex, Murray E. and Smolnik, Stefan and Croasdell, David},
biburl = {https://www.bibsonomy.org/bibtex/231f057601cc9bc1ae5c1551a28fbb470/mschuber},
booktitle = {HICSS '08: Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences},
description = {Towards Measuring Knowledge Management Success},
doi = {http://dx.doi.org/10.1109/HICSS.2008.461},
interhash = {3d6724c8c335fc369cff686655c2e561},
intrahash = {31f057601cc9bc1ae5c1551a28fbb470},
isbn = {0-7695-3075-8},
keywords = {2008 KM KMS success},
pages = 360,
publisher = {IEEE Computer Society},
timestamp = {2008-10-01T11:34:47.000+0200},
title = {Towards Measuring Knowledge Management Success},
url = {http://portal.acm.org/citation.cfm?id=1334515.1334570&coll=GUIDE&dl=GUIDE},
year = 2008
}