52 research outputs found

    Cluster Development and Knowledge Exchange in Supply Chain

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    Industry cluster and supply chain are in focus of every countries which rely on knowledge-based economy. Both focus on improving the competitiveness of firm in the industry in the different aspect. This paper tries to illustrate how the industry cluster can increase the supply chain performance. Then, the proposed methodology concentrates on the collaboration and knowledge exchange in supply chain. For improving the capability of the proposed methodology, information technology is applied to facilitate the communication and the exchange of knowledge between the actors of the supply chain within the cluster. The supply chain of French stool producer was used as a case study to validate the methodology and to demonstrate the result of the study.Knowledge engineering, Logistics, Knowledge Exchange

    An Ontology-based Knowledge Management System for Industry Clusters

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    Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case study to illustrate our proposed methodology.Ontology, Knowledge Management System, Industry Clusters

    Cluster Development and Knowledge Exchange in Supply Chain

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    Industry cluster and supply chain are in focus of every countries which rely on knowledge-based economy. Both focus on improving the competitiveness of firm in the industry in the different aspect. This paper tries to illustrate how the industry cluster can increase the supply chain performance. Then, the proposed methodology concentrates on the collaboration and knowledge exchange in supply chain. For improving the capability of the proposed methodology, information technology is applied to facilitate the communication and the exchange of knowledge between the actors of the supply chain within the cluster. The supply chain of French stool producer was used as a case study to validate the methodology and to demonstrate the result of the study

    Knowledge Engineering Technique for Cluster Development

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    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 compares the capability to be implemented in the cluster context. Then, we selected one method and proposed the 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.Knowledge Engineering; Industry Cluster; CommonKADS; Knowledge Management System

    Knowledge Engineering Technique for Cluster Development

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    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 compares the capability to be implemented in the cluster context. Then, we selected one method and proposed the 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

    Knowledge Management System for Cluster Development in Small and Medium Enterprises

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    Many countries such as Canada, Japan, Korea and France gains their competitive advantage through the utilization of clusters development. A cluster contains many Small and Medium Enterprises (SMEs) operating in the same or similar industry strongly connected with each other to produce good and services.,In developing country , especially, Small and Medium Enterprises (SMEs) take very important role to their economic. Most governments, as facilitator, support cluster through initiate help and encourage SMEs' linkage to reach the concept of industry cluster. Many literature reviewed claimed that the most difficult processes in creating a cluster is the development and sustain the collaboration to connect these SMEs together. After some investigation, the problem of creating SMEs connection is information sharing at micro-economic level.. Knowledge sharing is one of the most important key success factors of cluster management to gain collaboration among SMEs since there are abundant of explicit and tacit knowledge within each SMEs in a cluster. Naturally, most firms do not want to share their business information and knowledge. In reality, however they needs these information to successfully manage their business cluster. It is crucial and necessary we find out what kind of information or knowledge they want to know and shareable among them in order to manage cluster successfully. Many operation management techniques already existed in many firms. One of the ways to help knowledge sharing operate successfully using information technology as a tool is directed to Knowledge Management System (KMS). This methods can help facilitate the communication and information flow and needs to be investigated further to help maintain the cluster collaboration and knowledge sharing.. This paper propose framework and methodology for analyzing, industry cluster for the sustain the lifecycle of cluster.

    THE DEVELOPMENT OF HIGHER SECONDARY BUSINESS SKILLS LEARNING MODEL USING WHOLE BRAIN LITERACY (WBL) IN TENTH GRADE STUDENTS MONTFORT COLLEGE SECONDARY SECTION, THAILAND

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    This research aim to study, analyze and develop business skills learning model in Grade 10, Montfort College Secondary Section: Chiang Mai, Thailand. The proposed method was to analyze characteristics and develop business skills learning model based on needs of higher secondary students - parents and those who succeed in the business field in Thailand. The proposed method was developed by employing Whole Brain Literacy (WBL) theory. Then, collected data were analyzed to determine characteristics of subject groups and required skills to be developed. Results indicated significant factors used for developing business skills learning model is accord with the most required skills for subject are creative and adaptive skills which mean and S.D. values were 36.63 and 5.51, respectively. The least required skills for subject are team building and communication skills which mean and S.D. values were 19.70 and 6.73, respectively

    An Ontology-based Knowledge Management System for Industry Clusters

    Get PDF
    Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case study to illustrate our proposed methodology
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