• The Journal of Information Systems
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• v.18 no.3
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• pp.183-210
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• 2009

This study investigated the degrees of knowledge management processes according to the levels of social capital(i.e., inter-departmental communication, trust, cooperation and integration) as well as information technology(IT) infrastructure(i.e., knowledge storage and transfer IT, and knowledge search IT) in Korean manufacturing firms. We also demonstrated the differences in organizational performance under various degrees of knowledge management processes. Through cluster analysis with social capital variables, we classified sample firms into five groups; 'the highest firms', 'higher firms', 'middle firms', 'lower firms', and 'the lowest firms'. It was also observed that the degrees of knowledge management processes and organizational performance in 'the highest firms' is the highest. With a structural equation modeling technique, the causal relationships among social capital, IT infrastructure, knowledge management processes, and organizational performance were confirmed. Hence, it is concluded that social capital and IT infrastructure have direct effects on knowledge management processes, and indirectly influence organizational performance through the degrees of knowledge management processes.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.27-40
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• 2010

This case study covers the Knowledge Management research paper that explores the clear idea about the knowledge practicesthat are used in the corporate sector to achieve the strategic advantage over the competitors. The quoted example of the three manufacturing firms TATA MOTORS, BHEL, and M&M have tried to compare the Knowledge practices in these firms, which explores the concept clearer that the competitors can use the same or the different type of knowledge practices to achieve the competitor advantages. In order to help knowledge management goals, an integrated knowledge management system consisting of the knowledge management techniques and technologies are used. The knowledge Management is supported by different techniques and practices whichare knowledge content, people skills, technology and strategy based. The technology and techniques supports these factors of knowledge management. The paper discuss different techniques and processes adapted by three Indian organizations and a comparison is made to suggest the guidelines of KM practices to manufacturing Industries.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.461-476
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• 2013

Knowledge maps for science and technology are used extensively in the research projects. However, they are not organized systematically and are not necessarily suitable to be used in the research projects. Therefore, this study aims to organize the knowledge maps in order to support scientific research projects. To this end, the existing knowledge maps for science and technology are classified as one of four types based on data representation methods; the frequency summary map, trend summary map, distribution-based knowledge map and network-based knowledge map. Additionally, by summarizing and classifying the knowledge maps through the principle of 'five w's and one h', the unexplored area are investigated. Finally, some examples of useful knowledge maps in terms of data analysis are provided with details such as definitions, components and utilization purposes. These findings may be a starting point for future research into a better understanding of knowledge maps for science and technology.

• Culinary science and hospitality research
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• v.10 no.4
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• pp.31-49
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• 2004

Nowadays, a knowledge management becomes more important as it recognizes and utilizes a industrial knowledge as a significant sources for the improvement of enterprise competitiveness. Moreover, a industrial value tends to be evaluated by a knowledge value. In this study, influencing factors (processes, compensation system, leadership and information technology) on the knowledge sharing for strategies in foodservice Enterprise were investigated. For processes, it was important that the sharing and collecting factors for restaurants in hotel, the knowledge sharing and collecting for family-restaurants, the knowledge utilization and collecting for fast-food restaurants and the knowledge utilization and sharing for special restaurants. In compensation system, both mental and physical compensation were not related with the knowledge sharing in hotel-restaurants. On the other hands, the knowledge sharing in family-restaurants, fast-food restaurants and special restaurants was highly affected by the mental compensation, which indicated that food-service. Enterprise should lay emphasis on mental compensation than physical compensation. In industrial cultures, the influencing factors on the knowledge sharing were rational culture and progressive culture for restaurants in hotel and fast-food restaurants, and for special restaurants and family- restaurants, respectively. The ordering leadership was important factor for restaurants in hotel, fast-food restaurants and family-restaurants, while the knowledge sharing in special restaurants was more influenced by the supporting leadership. For information technology, it was important that the information utilization for restaurants in hotel, special restaurants and fast-food restaurants, and both information utilization and ability for family-restaurants.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.228-251
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• 2020

This study attempts to examine the importance of social capital in customer service organizations and clarifies how translates into organizational performance through knowledge management activities. A survey was conducted with the customer service employees, and 256 questionnaires were used for an empirical analysis with smart partial least squares (PLS). The analysis found that relational capital had a positive effect on both the knowledge management components of knowledge sharing and knowledge conversion, while structural capital significantly influenced knowledge sharing. In addition, human capital positively affected knowledge conversion. Both knowledge sharing and knowledge conversion significantly influenced organizational performance. This study proposed a conceptual framework of social capital that influences organizational performance mediated by an organization's knowledge management activities. Based on the results, we suggest practical guidelines for managing social capital and recommend areas of improvement for customer organization's managers and employees.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.4
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• pp.95-114
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• 2019

The digitization of traditional medical knowledge in Tanzania will greatly enhance its preservation and dissemination. This is especially important given the challenges facing the current methods of preserving and managing such knowledge. This study presents the requirements engineering approaches and requirements for a web-mobile application that would successfully digitize indigenous knowledge of phytomedicine and relevant practitioners licensing and registration processes. To establish the requirements of such a digital system application, the study sought the opinion of 224 stakeholders whose suggestions were used to analyze and model the requirements for designing such a web-mobile tool. The study was carried out in Arusha, Kagera and Dar es Salaam regions of Tanzania which involved ethnobotanical researchers, herb practitioners, curators from herbaria and registrar officers from Traditional and Alternatives Health Practice Council. Structured interview, survey, observation and document review were employed to find out the basic functional and non-functional requirements for possible designing and implementation a web-mobile application that would digitize indigenous knowledge of medicinal plants. The requirements were modelled using the use case and context diagrams. Finally, the study came up with a list of items for both functional and non-functional requirements that can be used as guidelines to develop a web-mobile application that will capture and document traditional medical knowledge of medicinal plants in Tanzania and, enabling relevant authorities to regulate and manage stakeholders.

• Journal of Korea Technology Innovation Society
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• v.11 no.1
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• pp.91-117
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• 2008

The relationships between science, technology, and industry are very complicated and vary according to time. Thus, it would be almost impossible to combine the three categories in a single model. However, the linking of science, technology, and industry, which are divided according to their respective classification standards, is a starting point from which to understand how science and technology, technology and industry, and further science, technology, and industry are related to each other. Studies have been carried out to analyze the relationship between science and technology and between technology and industry, whereas no study has been undertaken to get an overall view of science, technology, and industry. Since an appropriate methodology or an analytical model has not been suggested, this paper proposes a model for generally analyzing science, technology, and industry. More specifically, this paper examines the methodology for linking science, technology, and industry. This paper uses citation analysis to analyze knowledge flow such as absorption and utilization of given knowledge, looks at the provision of knowledge to create new knowledge, and examines the use of network analysis to analyze the complicated phenomenon of knowledge flow. This paper proposes an empirical study of trend analysis of technological innovation by looking into a linkage structure of knowledge flow among science, technology, and industry based on the classification linkage and analysis methodology using scientific paper and patents.

• Journal of Information Science Theory and Practice
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• v.6 no.3
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• pp.6-15
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• 2018

With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia. In particular, open knowledge bases play an important role for constructing a new knowledge base by serving as a reference data source. However, identifying the same entities among heterogeneous knowledge sources is not trivial. This study focuses on extracting and determining exact and precise entities, which is essential for merging and fusing various knowledge sources. To achieve this, several algorithms for extracting the same entities are proposed and then their performance is evaluated using real-world knowledge sources.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.357-377
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• 2000

This paper seeks to search a improved evaluation system of government sponsored research institutes(GSRI) as a knowledge system It begins with a brief review of the theory of knowledge and knowledge system This is followed by a search of the desirable conditions of the evaluation system of GSRI as a knowledge system These conditions presented are applied within the context of the current evaluation system of GSRI. Finally conclusions are drawn and directions for improvement of the system are outlined.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.278-282
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• 2001

The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.