An Ontology-based Knowledge Management System for Industry Clusters

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

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

A Knowledge Management System Architecture for Clusters: a Thai ceramic cluster case study

International audienceKnowledge-based economy forces Small and Medium Enterprises (SMEs) in the same industry to group together as the industry cluster in order to maintain their competitiveness in the global competition. These companies gain advantages, knowledge and opportunities from being a member of cluster. However, many industry clusters have failed to achieve their goal in developing phase. The two internal key success factors for the industry cluster to maintain their competitiveness are collaboration and knowledge sharing among the members. Thus, this study is aimed at assisting the industry cluster to improve collaboration and knowledge sharing by adopting the concept of knowledge management. Knowledge Management System (KMS) architecture was implemented for improving the knowledge exchange activities in the cluster. In order to design the knowledge system to suit our case study, the CommonKADS methodology was used as the knowledge elicitation and modeling technique. Then, the main knowledge activities i.e. knowledge creation, sharing and reuse which are considered as the core of the system architecture were depicted. The application of the knowledge system to Thai ceramic cluster proved that the knowledge system is able to improve the competitiveness of the industry cluster.l'économie basée sur la connaissance oblige les entreprises, situées à l'intersection de différentes chaînes logistiques, à se regrouper en « clusters » (groupement d'entreprises) pour maintenir leur compétitivité dans un contexte économique de plus en plus concurrentiel. Dans le cadre de ces travaux de recherche, nous allons proposer un système de gestion des connaissances pour soutenir les activités collaboratives dans le cadre de ces groupements d'entreprises. Les principaux facteurs clés de succès de ces types d'organisation sont le partage d'information et de connaissances et la collaboration entre les acteurs. L'objectif principal de cet article est donc de présenter une méthodologie pour l'analyse des principaux processus du cluster, l'extraction et la formalisation des connaissances liées à ces processus, ainsi que la définition de l'architecture du système de gestion de ces connaissances (KMS) associée. L'approche proposée a été validée sur le cas d'un cluster industriel en Thaïlande, cluster qui regroupe un certain nombre de PME artisanales du secteur de la production céramique. Abstract-Knowledge-based economy forces Small and Medium Enterprises (SMEs) in the same industry to group together as the industry cluster in order to maintain their competitiveness in the global competition. These companies gain advantages, knowledge and opportunities from being a member of cluster. However, many industry clusters have failed to achieve their goal in developing phase. The two internal key success factors for the industry cluster to maintain their competitiveness are collaboration and knowledge sharing among the members. Thus, this study is aimed at assisting the industry cluster to improve collaboration and knowledge sharing by adopting the concept of knowledge management. Knowledge Management System (KMS) architecture was implemented for improving the knowledge exchange activities in the cluster. In order to design the knowledge system to suit our case study, the CommonKADS methodology was used as the knowledge elicitation and modeling technique. Then, the main knowledge activities i.e. knowledge creation, sharing and reuse which are considered as the core of the system architecture were depicted. The application of the knowledge system to Thai ceramic cluster proved that the knowledge system is able to improve the competitiveness of the industry cluster. Mots clés-Gestion des connaissances, cluster et réseaux d'entreprises, architecture d'échange de connaissance

Cluster Development and Knowledge Exchange in Supply Chain

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

Knowledge Management System for Cluster Development in Small and Medium Enterprises

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.

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 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 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 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

An Ontology-based Knowledge Management System for Industry Clusters

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

Training Evaluation in a Smart Farm using Kirkpatrick Model: A Case Study of Chiang Mai

Farmers can now use IoT to improve farm efficiency and productivity by using sensors for farm monitoring to enhance decision-making in areas such as fertilization, irrigation, climate forecast, and harvesting information. Local farmers in Chiang Mai, Thailand, on the other hand, continue to lack knowledge and experience with smart farm technology. As a result, the 'SUNSpACe' project, funded by the European Union's Erasmus+ Program, was launched to launch a training course which improve the knowledge and performance of Thai farmers. To assess the effectiveness of the training, The Kirkpatrick model was used in this study. Eight local farmers took part in the training, which was divided into two sections: mobile learning and smart farm laboratory. During the training activities, different levels of the Kirkpatrick model were conducted and tested: reaction (satisfaction test), learning (knowledge test), and behavior (performance test). The overall result demonstrated the participants' positive reaction to the outcome. The paper also discusses the limitations and suggestions for training activities