• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.3
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• pp.77-104
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• 1995

Intelligent Decision System support the decision analysis process in the managerial problems with decision analytic knowledge as well as domain specific knowledge. Influence Diagram has been one of the major knowledge representation in the intelligent decision system. In the development of intelligent decision system, knowledge acquisition is also known to be difficult. This paper suggests a developing tool using an influence diagram and Verbal Protocol Analysis which facilitates knowledge acquision for intelligent decision system. An ennvironmental decision making problem is used as an illustrative example and validation of the suggested developing tool is discussed. The suggested tool is very flexible to be expanded or applied to similar problems.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.270-275
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• 2008

The various research on Communities of practices (CoP) for propagation of softer type knowledge in new Knowledge Management (KM) strategy having been performed for past couple of years. CoP is one of effective process innovation tool for diffusion of knowledge. Based on CoP's voluntary and spontaneous characteristic, it performs a function of delivering softer type knowledge of workers to the other colleagues of organization. But one step further to CoP's function of propagation of internal knowledge, research on function of CoP's contribution in enterprise strategy are insufficient yet. This paper presents enterprise CoP should be managed and aligned to strategic objectives of enterprise, and also, suggests the methodology for CoPs to maintain a lifecycle as a tool to contribute in strategic goal attainment. Although CoPs are voluntary and spontaneous informal organization, it can display a contribution as tool for KM strategy when it is aligned to strategy properly and form efficient lifecycle.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.185-191
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledges and data. But, they don't have data minning tool to utilize accumulated data. This paper treats development of data minning tools for the utilization of shipbuilding knowledge based on genetic programming (GP).

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.1
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• pp.1-7
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• 2011

Most of expert systems use the text-oriented knowledge bases. However, knowledge management using the knowledge bases is considered as a huge burden to the knowledge workers because it includes some troublesome works. It includes chasing and/or checking activities on Consistency, Redundancy, Circulation, and Refinement of the knowledge. In those cases, we consider that they could reduce the burdens by using relational database management systems-based knowledge management infrastructure and convert the knowledge into one of easy forms human can understand. Furthermore they could concentrate on the knowledge itself with the support of the systems. To meet the expectations, in this study, we have tried to develop a general-purposed knowledge conversion tool for expert systems. Especially, this study is focused on the knowledge conversions among text-oriented knowledge base, relational database knowledge base, and decision tree.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.115-136
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• 2007

In this study, we investigate the possibility of deploying a recently emerging Internet-based technology, called Web log or Blog, to address the problems of knowledge transfer and sharing, particularly in the case of tacit knowledge. We examined the use practice of four blogs and then identified several properties relevant to knowledge transfer and sharing. They include the specific style of blog format, content ownership attribution, posted article organization, communication tools and method, news feed function, and various links from/to outside websites. These features were argued to facilitate knowledge transfer and sharing. In particular, we discussed a great deal about the structure of comments and links as tools for collaboration and idea sharing, which enables the knowledge conversion processes (socialization, externalization, combination, and internalization), We then provide several guidelines to develop blogs as a knowledge management tool.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.6 s.150
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• pp.700-706
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledge and data. But, they don't have data mining tool to utilize accumulated data. This paper treats development of data mining tools for the utilization of shipbuilding knowledge based on genetic programming(GP).

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.91-96
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• 2002

Research and case study on implementing Knowledge Management (KM) in various fields have been published. However, KM could be misunderstood as developed Information Technology (IT) rather than a managerial tool to support knowledge creation in an organization unless the theoretical background on the evolution of KM is rigorously considered. This paper aims to review philosophy of science and managerial trends that can explain the reasons for introducing KM into the industry. Based on this theoretical background, Soft Systems Method (SSM), one of method to facilitate knowledge flows, are explained. SSM has been developed to cope with the characteristics of knowledge distinguished from data and information. Further research topics relevant to SSM in construction management as a practical application and educational tool are presented.

• IE interfaces
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• v.13 no.1
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• pp.37-43
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• 2000

With the rapid changes of business environments and the tremendous amount of information generated from those environments, most companies must learn to manage those changes and information more effectively. Furthermore, within those amounts of information, the information that meets with achieving the goal of each company should be selected and managed as a core competency, i.e. the knowledge, visible and invisible assets of the company. Knowledge management, as a tool of creating, sharing, and applying such knowledge, has pursued those requirements of companies and been studied by many researchers and consultants, especially focusing on the Knowledge Map'. It is said that a knowledge map is a powerful tool for scanning and managing the knowledge that exists in a company and that it is the most important part of establishing a knowledge management base. Until now, however, there have been no specific or practical models for establishing a knowledge map, in spite of the concern. For this reason, this paper suggests a practical model for establishing a knowledge map in terms of a knowledge acquisition procedure based on the traditional research concerning concept maps. In addition to this, for examining the validity of the model, a case study on the 'P' steel and iron company has been performed. This paper's methodology on developing a knowledge map and the procedures to apply them to the real business environment will suggest a cornerstone in the field of practical implementation of knowledge management.

• Knowledge Management Research
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• v.16 no.2
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• pp.67-89
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• 2015

Improving productivity of knowledge workers is an important issue in the 21st century referred as knowledge-based society. The core key word is knowledge sharing among constituents of an organization. The purpose of this study is to combine the social network position factors with attitude and behavior factors, and develop an integrated research model for the knowledge sharing among members of an organization. This study adopted the integrated theoretical framework based on social capital, self-efficacy, transactive memory, and knowledge sharing. Surveys were conducted to 42 organizational members from a department in a leading IT outsourcing company to empirically test the proposed research model. In order to validate the proposed research model, social network analysis tool, UCINET, a structural equation modeling tool, SmartPLS, were utilized. The empirical result showed that, first of all, organizational members' familiarity network position had significant influence on knowledge self-efficacy and transactive memory capability. Second, knowledge self-efficacy and transactive memory capability affected knowledge sharing intention. Third, knowledge sharing intention also had an impact on the job performance. However, organizational members' expertise network position had no significant influence on knowledge self-efficacy and transactive memory capability. This finding reveals the importance of the emotional approach rather than the rational approach in knowledge management. The theoretical and practical implications on the research findings were discussed along with limitations.

• Korean Journal of Human Ecology
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• v.15 no.2
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• pp.293-301
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• 2006

The purpose of this study is to develop a textile knowledge checklist and to analyze university students' textile recognition. After analyzing reliability, difficulty, and discrimination of questions, we developed a standardized tool to measure textile knowledge. The tool has 72 checklist questions, which can be divided into 4 parts: basic property, comfort, management, and finishing. The level of university students' textile knowledge was 68.91 %. The level of basic property was 75.56%, comfort 70.83%, management 64.5% and finishing 64.74%. The recognition of management and finishing was lower than that of basic property and comfort. There existed a significant difference in the textile knowledge by their gender, major, and school year. To elaborate, females, clothing and textile major students, and juniors and seniors showed higher level of textile knowledge. It seemed that comfort was more professional item than management in textile knowledge.