• Asia pacific journal of information systems
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• v.9 no.4
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• pp.89-106
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• 1999

Intranet is information technology for information sharing and collaborative work in geographically dispersed organizations, and has clear potentials to combine with other information technologies such as data warehousing and knowledge management. Data warehousing make it possible that the data stored for business analysis can most effectively be accessed by separating it from the data in the operational systems, and knowledge management is the paradigm to make the enterprise realize the best value of its knowledge assets, This paper is to suggest an architecture of knowledge sharing to combine knowledge management with data warehouse under the Intranet environment for the purpose of achieving the competitive advantages through the effective decision making in the modern companies, This paper also addresses the steps to implement this architecture.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Knowledge Management Research
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• v.7 no.1
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• pp.31-47
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• 2006

In order to manage organizational knowledge efficiently, Knowledge Management System(KMS) is considered as mandatory. This study aims at developing a KMS performance model to predict user satisfaction as well as KMS usage, considering the unique features of KMS. By analyzing 261 surveys with LISREL, we found that community of practice(CoP) characteristics - participation and interactivity among users - significantly affects KMS user satisfaction. This implies that the development of KMS should focus on facilitating users' interactivity and participations such as CoP activity, which differs from the general information system context. We also found that KMS usage is influenced by CoP interactivity, not by CoP participation, and that KMS usage as well as user satisfaction leads to user performance. Interpretations and implications of the findings are discussed.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.129-147
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• 2005

In Knowledge Management Systems (KMS), tacit knowledge which is usually possessed as forms like know-how, experiences, and etc. is hard to be systemized while managing explicit knowledge is comparatively easy using information technology such as databases, Recent researches in knowledge management have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise so that users can contact them for help, In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through' which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To test applicability and practicality of the proposed framework, the prototype system, Knowledge Portal for Researchers in Science and Technology, was developed.

• The Journal of Information Systems
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• v.16 no.4
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• pp.223-241
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• 2007

This study extends prior research of knowledge management by proposing how social capital can positively impact the ability of organizations to manage knowledge. The purpose of this study is to examine the relationship between social capital and knowledge management and how both help organizations achieve a sustained superior performance. To serve this purpose, I conducted an extensive survey on 143 Korean firms in diverse industries. Analyzing hypothesized relationships with the data collected, I empirically assure that organizations with high levels of social capital have more knowledge management capabilities than organizations with low levels of social capital and there exist statistically significant relationships between knowledge management and organizational performance.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.111-114
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• 2004

Management of human knowledge is an interesting concept that has attracted the attention of philosophers for thousands of years. Artificial intelligence and knowledge engineering has provided some degree of rigor to the study of knowledge systems and expert systems(ES) re able to use knowledge to solve the problems and answer questions. Therefore, the process of conceptualization and inference of knowledge are fundamental problem solving activities and hence, are essential activities for solving the problem of software ES construction Especially, the access to relevant, up-to-date and reliable knowledge is very important task in the daily work of physicians and nurses. In this study, we propose the conceptualization and inference mechanism for implicit knowledge management in medical diagnosis area. To this purpose, we combined the dynamic knowledge map(KM) and relational database(RDB) into a dynamic knowledge map(DKM). A graphical user-interface of DKM allows the conceptualization of the implicit knowledge of medical experts. After the conceptualization of implicit knowledge, we developed an RDB-based inference mechanism and prototype software ES to access and retrieve the implicit knowledge stored in RDB. Our proposed system allows the fast comfortable access to relevant knowledge fitting to the demands of the current task.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.113-133
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• 2001

We propose utilizing a fuzzy cognitive map(FCM) to integrate tacit knowledge and explicit knowledge both of which are crucial to the success of knowledge management. Recently, explicit knowledge is getting more available as CRM and data mining approaches become popular as the advent of using database and the Internet technology. However, for the knowledge management to be successful, tacit knowledge should be seamlessly integrated with explicit knowledge seamlessly. The problem hindering such effort is how to find a vehicle facilitating transformation of explicit knowledge into tacit knowledge, and vice versa. FCM has been important method for representing tacit knowledge as a form of explict knowledge. In this respect, we suggest the detailed process about how to integrate explicit knowledge and tacit knowledge by using FCM. We gathered extensive set of data from the credit card company, and applied our proposed method. Results showed that our approach is robust and promising for the field of integrating two different kinds of knowledge.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.508-514
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• 2008

Knowledge management has been spread rapidly since Knowledge is regarded as a crucial asset in future. Once, Knowledge had been obtained freely but hard to be shared. Studies on importance and share of knowledge have been taking place and it leads to development of knowledge management systems. However, decision makers still have problems even though they are using knowledge management systems. Eventually, for the decision makers are needed concentrated knowledge which is unconscious and embodied, when they make a decision. This is wisdom. Thus, wisdom is superior to knowledge for the decision makers. There are some researches on wisdom but wisdom management were overlooked. This study presents differences between knowledge and wisdom with theoretical research and empirical analysis on the wisdom management.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.425-432
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• 2002

The purpose of this study is to help implement KISTI knowledge management systems through analysis of ordering which is most important among system characteristics. This study uses Delphi Technique to specialist in science and technology knowledge content area for empirical analysis. The result of this study is as followed First, the most important characteristic is retrieval function in systems. Second knowledge management systems basic characteristics like as retrieval function storage/retention function, accessibility, easy of usa classification function lank high position while additional characteristics like as knowledge linkage, knowledge evaluation, personalization, communication supporting, multimedia supporting lank low position.