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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2011
|
| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848822125041811456 |
|---|---|
| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:36:16Z |
| format | Article |
| id | ump-24797 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:36:16Z |
| publishDate | 2011 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://doi.org/10.1016/j.proeng.2011.08.328 https://doi.org/10.1016/j.proeng.2011.08.328 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| 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 |