• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• 경영과정보연구
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• 제35권2호
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• pp.119-136
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• 2016

본 연구는 지식원천 이론과 제도적 이론관점에서 조직의 지식 수용과정과 창출활동을 분석 설명하고자 하였다. 연구목적으로는 첫째, 지식경영과 지식경영활동에 적용되어지고 있는 다수의 이론들의 본질을 선행연구를 중심으로 살펴하고, 둘째, 지식경영에 적용된 이론들의 차이점과 공통점을 분석하여, 효과적인 지식경영을 위한 제언을 제공하는 것이다. 연구결과, 지식경영활동의 자원과 제도를 중심으로 본 지식 수용이론과 조직의 지식창조활동과 관련된 이론들을 중심으로 지식경영 활동의 본질을 확인한 결과, 지식수용 활동은 구성원 개인들이 보유하고 있는 업무관련 지식이나 노하우를 체계적으로 발굴하여 조직 내부의 보편적 차원의 지식으로 공유하고 적극 활용하여 조직 전체의 경쟁력 향상 도모가, 지식창출 활동은 조직 내 개인, 집단, 조직 등 모든 차원에서 지식 창출을 위한 학습, 다차원적 지식이전과 공유를 위한 창조적 문화 활성화과정의 중요성을 이론으로 살펴보았다. 또한, 지식 창출 이론의 비교 분석의 결과, 우리는 보편적으로 받아들여지고 있는 조직의 지식 창출이론에 대하여 몇몇 인자에 기초하여 조직의 지식을 관리하는 데 제안 할 수 있는 가설과 방법을 논의 하였다.

• 지식경영연구
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• 제18권3호
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• pp.231-246
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• 2017

As an interest in the efficiency of public sector expenditures has spread across the world, Korea has operated a self-evaluation system for government projects as a part of the performance-based budget system. However, an evaluation system for public information technology project has been criticized for its lack of validity, which stems from the uniformity of performance management. This study draws insight from knowledge management literature in an attempt to address the problems with the extant performance evaluation system in public agencies. To realize benefits from IT investment, an agency needs to develop its own performance management model for information systems projects, with a focus on the interaction of IT and organizational system. The knowledge management-based framework for IT projects was verified through a case study, with which we discussed the applicability of knowledge management to the evaluation of public information systems projects.

• 산업경영시스템학회지
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• 제31권2호
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• pp.1-10
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• 2008

In the knowledge-based society which recognizes knowledge as a core value, knowledge management is one of the most interesting issues. The creation of knowledge within an organization occurs as a result of interactions of tacit and explicit knowledge, in process of knowledge conversion. One useful model of this process is the SECI model which stands for a process of socialization, externalization, combination and internalization of knowledge. The enterprise competitive power depends on how an organization accelerates the speed of the cycle of knowledge creation well. In this paper we introduce a knowledge management promotion system based on SECI model and proposal system to promote the cycle of knowledge creation in production fields, and study an enterprise case.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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• pp.247-250
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• 2003

Due to the increasing use of very large databases, mining useful information and implicit knowledge from databases is evolving. However, most conventional data mining algorithms identify the relationship among features using binary values (TRUE/FALSE or 0/1) and find simple If-THEN rules at a single concept level. Therefore, implicit knowledge and causal relationships among features are commonly seen in real-world database and applications. In this paper, we thus introduce the mechanism of mining fuzzy association rules and constructing causal knowledge base form database. Acausal knowledge base construction algorithm based on Fuzzy Cognitive Map(FCM) and Srikant and Agrawal's association rule extraction method were proposed for extracting implicit causal knowledge from database. Fuzzy association rules are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. It integrates fuzzy set concept and causal knowledge-based data mining technologies to achieve this purpose. The proposed mechanism consists of three phases: First, adaptation of the fuzzy membership function to the database. Second, extraction of the fuzzy association rules using fuzzy input values. Third, building the causal knowledge base. A credit example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstration the effectiveness of the proposed algorithm.

• Asia pacific journal of information systems
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• 제13권3호
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• pp.243-259
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• 2003

Many R&D organizations have interests on knowledge management system(KMS) to organize and utilize their knowledge resources. Currently, for research collaboration and knowledge management R&D organizations use either a specialized knowledge management system or a set of general application systems such as basic messaging system and document management system. The objectives of this paper are to identify important functionalities of knowledge management systems based on team characteristics and knowledge process of research teams in research organizations and to provide implications to design and implement knowledge management system for R&D teams. Survey results show that research teams perceive communication, collaboration and connection functionalities are important when their team sizes are large or they are distributed. During knowledge capture process, they need personalization of knowledge to reduce information overload.

• 한국산학기술학회논문지
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• 제4권2호
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• pp.51-56
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• 2003

전통적 그리고 인터넷 기반 관광정보시스템은 각각 관광에 대한 포괄적이고 유용한 정보를 제공한다. 그러나 이들 시스템은 사용이 어렵고 사용자의 요구에 적절하게 대응하는 융통성을 갖지 못하고 정형화된 정보를 보여줄 뿐이다. 본 연구는 이러한 문제점을 해결하기 위하여 지식기반 전문가시스템 접근방식을 도입하고 있다. 이 방식을 이용하여 뉴질랜드 관광안내를 위한 한 전문가시스템이 사례로 제시되고 있다. EXSYS로 구현된 이 시스템은 사용자의 맞춤 여행계획을 제공한다.

• Asia pacific journal of information systems
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• 제9권4호
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• pp.41-67
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• 1999

ERP is now one of the prevailing applications for integrated information systems, So far, the conventional ERPs lack how to manage knowledge of making decisions, that is one of the important goal of ERP. This gives a motivation on adding decision support capabilities to the ERPs: active advice for business analysis, evaluation and control. In this paper, we proposed an agent-based intelligent ERP that is operated on the Internet. In special, knowledge of economic value added (EVA) is explicitly acquired as a set of data, models and methodologies, A new knowledge representation format, MIF, is suggested to show the communication mechanism between agents, The agent-based knowledge processing is adopted to deliver intelligence on the Internet.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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• pp.299-326
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• 2009

R In today's competitive and global business management, Concern of an enterprise is to strengthen the core competency and improve it's internal business process. Therefore, Interest in BPM(Business Process Management) has grown rapidly. BPM is recognized as best solution to meet the needs of organizations that seek the cost down, integration of information, reducing of risk, improvement of productivity. In the past, the company have usually made huge investments in knowledge management systems which are based on repository keeping tacit knowledge. But this paper shows feasibility of implementation of business process-based knowledge management system that could link knowledge with business process. From an academic point of view, Although There could be several ways to build the business process-based KMS. In this paper, when BPM project and KMS project were started at the same time, the way of how to provide workers with task-related knowledge was discussed. As an case study, an estimate process of H company was analyzed and process modelling was carried out and conceptional architecture framework was depicted.

• 한국정보시스템학회지:정보시스템연구
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• 제17권4호
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• pp.129-156
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• 2008

This study empirically tested a research model and hypothesis extracted and based on IT governance and knowledge sharing theories. In this study we targeted CIO and IS managers to find the effects of the degree of knowledge sharing between CEO and CIO regarding five areas of IT governance decision-making: IT principles, IT architecture, IT infrastructure, business application needs, and IT investment and prioritization, on IT and business alignment. Additionally we studied the effects of business alignment on the effectiveness of information systems. Results showed that the degree of knowledge sharing in CEO and CIO on IT principles, IT infrastructure, IT investment and prioritization had a positive influence on IT and business alignment, ultimately showing a positive influence on the effectiveness of information systems. This research has shown that fording the preferable relationship between IT and business affected by performing high quality decision making based on knowledge sharing and consequently it also is a basis to provide a positive influence to the effectiveness of the information system.