A novel statistical model assessing the self performance of knowledge management within SMEs in China

Recently, the evaluation of knowledge management has become increasingly important. Nevertheless, few studies explicitly distinguished knowledge management self's performance from its effectiveness. This paper introduces a new evaluation model by partitioning the process of implementing knowled...

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Main Authors:	Ahmad, Othman, Yao, Liu, Omar, R. Mahdi, Jing, Wang
Format:	Article
Language:	English
Published:	Elsevier Ltd 2011
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/1/A%20novel%20statistical%20model%20assessing%20the%20self%20performance%20of%20knowledge%20management%20within%20SMEs%20in%20China.pdf

id	ump-24797
recordtype	eprints
spelling	ump-247972019-06-12T03:42:56Z http://umpir.ump.edu.my/id/eprint/24797/ A novel statistical model assessing the self performance of knowledge management within SMEs in China Ahmad, Othman Yao, Liu Omar, R. Mahdi Jing, Wang T Technology (General) Recently, the evaluation of knowledge management has become increasingly important. Nevertheless, few studies explicitly distinguished knowledge management self's performance from its effectiveness. This paper introduces a new evaluation model by partitioning the process of implementing knowledge management into three stages, including: 1) the external and internal environment analysis; 2) knowledge management activity planning; and 3) the knowledge management implementation decision making. Data is collected from Chinese small and medium sized enterprises by questionnaires and semi-structured interviews. The regression results prove that the three factors positively contribute to knowledge management self's performance with knowledge management activity planning impacts most and decision making less. Other useful factors are also indicated for enterprises to assess and predict their knowledge management self's performance. Elsevier Ltd 2011 Article PeerReviewed pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/24797/1/A%20novel%20statistical%20model%20assessing%20the%20self%20performance%20of%20knowledge%20management%20within%20SMEs%20in%20China.pdf Ahmad, Othman and Yao, Liu and Omar, R. Mahdi and Jing, Wang (2011) A novel statistical model assessing the self performance of knowledge management within SMEs in China. Procedia Engineering, 15. pp. 1758-1763. ISSN 1877-7058 https://doi.org/10.1016/j.proeng.2011.08.328 https://doi.org/10.1016/j.proeng.2011.08.328
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ahmad, Othman Yao, Liu Omar, R. Mahdi Jing, Wang A novel statistical model assessing the self performance of knowledge management within SMEs in China
description	Recently, the evaluation of knowledge management has become increasingly important. Nevertheless, few studies explicitly distinguished knowledge management self's performance from its effectiveness. This paper introduces a new evaluation model by partitioning the process of implementing knowledge management into three stages, including: 1) the external and internal environment analysis; 2) knowledge management activity planning; and 3) the knowledge management implementation decision making. Data is collected from Chinese small and medium sized enterprises by questionnaires and semi-structured interviews. The regression results prove that the three factors positively contribute to knowledge management self's performance with knowledge management activity planning impacts most and decision making less. Other useful factors are also indicated for enterprises to assess and predict their knowledge management self's performance.
format	Article
author	Ahmad, Othman Yao, Liu Omar, R. Mahdi Jing, Wang
author_facet	Ahmad, Othman Yao, Liu Omar, R. Mahdi Jing, Wang
author_sort	Ahmad, Othman
title	A novel statistical model assessing the self performance of knowledge management within SMEs in China
title_short	A novel statistical model assessing the self performance of knowledge management within SMEs in China
title_full	A novel statistical model assessing the self performance of knowledge management within SMEs in China
title_fullStr	A novel statistical model assessing the self performance of knowledge management within SMEs in China
title_full_unstemmed	A novel statistical model assessing the self performance of knowledge management within SMEs in China
title_sort	novel statistical model assessing the self performance of knowledge management within smes in china
publisher	Elsevier Ltd
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/ http://umpir.ump.edu.my/id/eprint/24797/1/A%20novel%20statistical%20model%20assessing%20the%20self%20performance%20of%20knowledge%20management%20within%20SMEs%20in%20China.pdf
first_indexed	2023-09-18T22:37:44Z
last_indexed	2023-09-18T22:37:44Z
_version_	1777416709014028288

A novel statistical model assessing the self performance of knowledge management within SMEs in China

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