• 지식경영연구
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• 제13권3호
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• pp.55-77
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• 2012

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

• 대한안전경영과학회지
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• 제3권3호
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• pp.1-9
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• 2001

To keep an enterprise's competitiveness on the condition of the automatic manufacturing system such as FA, FMS and CIM, all the maintenance problems should be considered seriously In not only in production and maintenance but also in related industrial safety. As we analyze in the surveys the maintenance management of domestic enterprises and the causes of Industrial accident, there will be necessity of drawing up countermeasures for preventing industrial accidents and for ensuring expertise maintenance technologies. Based on these analyses, the safety information system, maintenance management information system, and the machinery condition diagnosis technique are studied by using of the knowledge-based system under the real-time computer-operating environment and using fuzzy linguistic variable. This computer system based knowledge-based diagnosis can easily provide not only the knowledge of expert system about deterioration phenomenon of industrial robots, but also the knowledge of relating safety and facility all the time. Therefore, it is expected to improve the efficiency of business processes in the production and safety when we use this system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.633-634
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• 2006

Recently we started a development of the digital meister expert system for the product design supporting in manufacturing industry. Knowledge representation is of major importance in digital moister expert system. This rule-based expert system-knowledges are designed for a certain type of knowledge representation such as rules or logic. The way in which a rule-based expert system represents knowledge affects the development, efficiency, speed, and maintenance. Eventually, this digital moister system is used to the engineer in manufacturing industry for the process control, production management and system management. In this paper, we propose the digital moister system knowledge representation method for product design supporting in manufacturing industry and we present introduction and contents of rule-based knowledge representation supporting tool.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.1058-1063
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• 2005

More and more organizations in construction industry adopt knowledge management system (KMS) to facilitate process of creating, acquiring, capturing, sharing, and using knowledge so as to improve the competitiveness, productivity and efficiency of their organization. In spite of the tremendous efforts devoted to KMS, the return of investment on KMS is usually a black box to the investor due to the lack of a systematic framework for performance evaluation of the KMS. This paper aims at fulfilling such need. A conceptual performance evaluation framework is proposed based on Balanced Scorecard (BSC) method. Then a preliminary case study is conducted to assess the applicability of the proposed framework in an A/E consulting firm to evaluate the performance of KMS.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.1033-1045
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• 2021

Corporate social responsibility for employees is associated with employees' requirements related to the work and the organization's ability to meet such needs. The study aims to examine the impact of corporate social responsibility for workers on employee management effectiveness amongst businesses in Vietnam. Using the quantitative method, through SEM linear structural model analysis, the research surveys 619 samples of employees at businesses in Vietnam. The study results show that corporate social responsibility for workers has both a direct and indirect impact on the effectiveness of employee management through intermediary factors such as organizational identity, organizational commitment, and knowledge sharing of employees. In addition, the study also demonstrates that commitment has a positive correlation with both organizational identification and knowledge sharing of employees in the businesses. On that basis, the study proposes several recommendations to improve employee administration efficiency. This study's findings have shown the importance and impact of corporate social responsibility in many respects on employee administration efficiency. These are meaningful contributions in theoretical and practical aspects that help businesses get a more in-depth insight into employee administration and the need to care and promote corporate social responsibility for employees, which is an important basis for further research.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.868-871
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• 2007

현대 경제는 치열한 경쟁, 군살 없는 조직, 광범위한 기술의 발전 등으로 요약될 수 있고, 이러한 역동적인 환경 속에서 리스크와 불확실성은 조직 지식관리의 중요성을 더욱 부각시키고 있다. 건설 산업도 예외일 수 없으므로 생존 및 도약을 위한 다양한 노력을 요구하고 있고 지식경영을 통한 효율성 및 효과성의 향상과 업무 자체의 혁신에 대한 필요성은 모든 건설기업이 주지하고 있는 사실이며 시대의 큰 흐름이라고 할 수 있다. 그러나 지식경영이 일정 부분 정착된 현 시점에서 기업들은 지식경영 도입에 따른 성과에 대해 의구심을 가지고, 평가 도구 개발에 관심을 가지기 시작했다. 이에 본 연구는 기존의 지식경영 성과측정 모델을 검토 및 분석하여 그것을 토대로 성과측정 방법론을 제시하고자 한다.

• 한국컴퓨터정보학회논문지
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• 제11권5호
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• pp.311-320
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• 2006

지식관리 전략은 비즈니스 기회의 창출과 유지에 핵심적인 요소로 인식되고 있다. 본 연구의 목적은 전자지급결제 영역에서의 지식관리의 역할을 지식공유 관점에서 분석하고, 다양한 전자지급결제방식에 적합한 지식공유 전략을 제시하는 것이다. 이를 위하여 전자지급결제의 특성을 결정짓는 2가지 요소인 신뢰성과 효율성을 기반으로 지식관리-전자지급결제 분류모형도를 제시하고, 각 영역에 적합한 지식공유 전략을 도출하였다. 연구의 결과에서 전자지급결제 특성과 지식공유 전략의 정합성이 전자지급결제 영역의 거래 당사자간의 관계 결속을 증가시키고 거래 과정을 최적화 시킬 수 있음을 제시하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.9-12
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• 2004

Developing an efficient knowledge base construction mechanism as an input method for expert systems (ES) development is of extreme importance due to the fact that an input process takes a lot of time and cost in constructing an ES. Most ES require experts to explicit their tacit knowledge into a form of explicit knowledge base with a full sentence. In addition, the explicit knowledge bases were composed of strict grammar and keywords. To overcome these limitations, this paper proposes a knowledge conceptualization and construction mechanism for automated knowledge acquisition, allowing an efficient decision. To this purpose, we extended traditional knowledge map (KM) construction process to dynamic knowledge map (DKM) and combined this algorithm with relational database (RDB). In the experiment section, we used medical data to show the efficiency of our proposed mechanism. Each rule in the DKM was characterized by the name of disease, clinical attributes and their treatments. Experimental results with various disease show that the proposed system is superior in terms of understanding and convenience of use.

• 지식경영연구
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• 제22권3호
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• pp.75-89
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• 2021

지식지도는 상호참조적 네비게이션 방식의 지식 탐색, 즉 내용적 연관성을 갖는 연관지식에 대한 교차적이고 순차적인 검색 및 조회를 지원할 수 있어야 한다. 본 연구는 계층형 및 네트워크형 지식지도 중 어떤 유형의 지식지도가 문제 풀이에 필요한 지식 탐색을 지원하는 데에 우월한 성능을 나타내는가를 사용자 관점에서 규명하는 테스트를 수행한다. 테스트 결과, 정답률을 이용하여 파악한 효과성과 문제 풀이 완료시간 및 참고 문서 수를 이용하여 파악한 효율성 모두 네트워크형 지식지도가 우월한 성능을 보임이 확인되었다. 본 연구에서 규명한 네트워크형 지식지도를 이용한 지식 검색 및 조회 방식의 우월성은 보다 사용자 친화적이고 합리적인 지식서비스 개발에 응용될 수 있다.

• 정보처리학회논문지B
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• 제9B권5호
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• pp.635-642
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• 2002

정보 기술 분야의 지능화 요구는 매우 빠르게 증가하고 있다. 특히 대량의 데이터로부터 지식을 찾아내어 최적의 의사결정을 해야하는 KDD(Knowledge Discovery in Database)분야에서는 그 요구가 더욱 더 크게 된다. 지능화된 의사결정을 위해서는 대용량 지식 베이스(Knowledge Base)의 효율적인 관리가 무엇보다도 중요하다. 본 논문에서는 이러한 지식 베이스로부터 의사결정 관리에 필요한 지식을 얻기 위해 효율적으로 지식 베이스를 검색하고 갱신하는 관리 방법을 위해 자율학습 신경망인 자기조직화 지도에 확률적 분포 이론을 결합한 하이브리드(Hybrid) SOM을 제안한다. 제안 방법을 이용한 효율적 지식 베이스의 관리를 시뮬레이션 실험을 통하여 수행하였다. 실험을 통해 본 논문에서 제안하는 Hybrid SOM이 지식 베이스 관리에 효율적인 성능을 나타냄이 증명되었다.