Knowledge engineering technique for cluster development

After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form...

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Main Authors: Sureephong P., Chakpitak N., Ouzroute Y., Neubert G., Bouras A.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-38149052256&partnerID=40&md5=a2a28ac73e7ea80262c8da3bdf663795
http://cmuir.cmu.ac.th/handle/6653943832/949
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-9492014-08-29T09:09:58Z Knowledge engineering technique for cluster development Sureephong P. Chakpitak N. Ouzroute Y. Neubert G. Bouras A. After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form of tacit and explicit knowledge from experts and institutions within the cluster. The objective of this study is about enhancing the industry cluster with knowledge management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and CommonKADS, and compare the capability to be implemented in the cluster context. Then, we selected one method and proposed die adapted methodology. At the end of this paper, we validated and demonstrated the proposed methodology with some primary result by using case study of handicraft cluster in Thailand. © Springer-Verlag Berlin Heidelberg 2007. 2014-08-29T09:09:58Z 2014-08-29T09:09:58Z 2007 Conference Paper 9783540767183 03029743 71202 http://www.scopus.com/inward/record.url?eid=2-s2.0-38149052256&partnerID=40&md5=a2a28ac73e7ea80262c8da3bdf663795 http://cmuir.cmu.ac.th/handle/6653943832/949 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form of tacit and explicit knowledge from experts and institutions within the cluster. The objective of this study is about enhancing the industry cluster with knowledge management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and CommonKADS, and compare the capability to be implemented in the cluster context. Then, we selected one method and proposed die adapted methodology. At the end of this paper, we validated and demonstrated the proposed methodology with some primary result by using case study of handicraft cluster in Thailand. © Springer-Verlag Berlin Heidelberg 2007.
format Conference or Workshop Item
author Sureephong P.
Chakpitak N.
Ouzroute Y.
Neubert G.
Bouras A.
spellingShingle Sureephong P.
Chakpitak N.
Ouzroute Y.
Neubert G.
Bouras A.
Knowledge engineering technique for cluster development
author_facet Sureephong P.
Chakpitak N.
Ouzroute Y.
Neubert G.
Bouras A.
author_sort Sureephong P.
title Knowledge engineering technique for cluster development
title_short Knowledge engineering technique for cluster development
title_full Knowledge engineering technique for cluster development
title_fullStr Knowledge engineering technique for cluster development
title_full_unstemmed Knowledge engineering technique for cluster development
title_sort knowledge engineering technique for cluster development
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-38149052256&partnerID=40&md5=a2a28ac73e7ea80262c8da3bdf663795
http://cmuir.cmu.ac.th/handle/6653943832/949
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