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Assessing Knowledge Management Success/Effectiveness Models
Big Island, Hawaii January 05-January 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265571Proceedings of the 37th Annual Hawaii ...
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Murray E. Jennex, Lorne Olfman, "Assessing Knowledge Management Success/Effectiveness Models," Hawaii International Conference on System Sciences, vol. 8, pp. 80236c, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8, 2004.
 
 
BibTex
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@article{ 10.1109/HICSS.2004.1265571,
author = {Murray E. Jennex and Lorne Olfman},
title = {Assessing Knowledge Management Success/Effectiveness Models},
journal ={Hawaii International Conference on System Sciences},
volume = {8},
year = {2004},
issn = {1530-1605},
pages = {80236c},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265571},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Assessing Knowledge Management Success/Effectiveness Models
SN - 1530-1605
SP
EP
A1 - Murray E. Jennex,
A1 - Lorne Olfman,
PY - 2004
KW - null
VL - 8
JA - Hawaii International Conference on System Sciences
ER -
 
Murray E. Jennex, California State University at San Diego
Lorne Olfman, Claremont Graduate University
This paper proposes a framework for assessing knowledge management system, KMS, Success Models. The framework uses three criteria: how well the model fits actual KMS success factors, the degree to which the model has a theoretical foundation, and if the model can be used for two types of approaches to building a KMS. The framework is then applied to four KMS success models found in the literature and is determined to be a useful framework for assessing KMS success models.
Citation:
Murray E. Jennex, Lorne Olfman, "Assessing Knowledge Management Success/Effectiveness Models," hicss, vol. 8, pp.80236c, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8, 2004
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