• Knowledge Management Research
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• v.12 no.4
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• pp.77-90
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• 2011

This study examined the effects of knowledge management strategy and structural capital on organizational performance. Structured capital was classified into three dimensions: organizational culture, knowledge process, and information technology. Data were collected from 251 employees in a public institution. Results indicated that organizational knowledge-based strategy was positively related to employees' job satisfaction, and that information technology-based strategy was positively related to customers' satisfaction and institutional image. Results also indicated that organizational culture and knowledge process were positively related to customers' satisfaction, employees' job satisfaction, and institutional image, whereas informational technology was negatively related to customers' satisfaction and institutional image. Finally, the theoretical and practical implications of the results were discussed.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.706-710
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is lack of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation. After gathering knowledge flow data between science and technology through mapping citing patent and cited paper, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Basd on 2 types of knowledge flow data, it propose method to examine knowledge flow from science to industry by applying overlap function is a network link weight function.

• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.221-235
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• 2004

Many organizations are implementing Knowledge Management(KM) technologies to promote knowledge sharing. An extensive review of recent articles and journals about such implementations reveals that one of the main barriers to implementation of KM technology is the absence of an organizational culture that supports knowledge sharing. The purpose of this research is to explore the possible relationship between the successful implementation of knowledge management technology and specific organizational culture attributes. The Organizational Culture Profile(OCP) and the Knowledge Management Technology Profile(KMTP) instruments were used to identify and rank the most critical organizational culture attributes and KM technology implementation successes. Data were collected from twenty six US organizations involved in a KM efforts.

• 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.

• The Journal of Information Technology
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• v.2 no.2
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• pp.217-233
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• 1999

I have tried to find a concept among different perspectives on knowledge management. A practical framework of the enhancement of firm's competence through knowledge accumulations was developed as follows: First, All human factors should be armed with information based knowledge and leaded by chief knowledge officer. Second, Learning organization is necessary to develope knowledge creation. Third, Organization has to be controlled by information based control system for the effective linkage of several sort of information. Fourth, Shared culture of knowledge internalized by all members must help organization generate and articulate a new form of knowledge. Finally, Several information technologies and instrumental system may faster creation of knowledge. Especially, in this paper, focused on role of knowledge-based people. It is new view of knowledge-based management studies.

• 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.

• 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.

• 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.

• 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.

• 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.