• 한국정보기술응용학회:학술대회논문집
• /
• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
• /
• pp.139-142
• /
• 2005

Recently research interest in Knowledge Management (KM) has grown rapidly. Companies regard intellectual capital as important asset and strive to deploy KM in an organization to gain a competitive edge. Many organizations currently engage in knowledge management in order to leverage knowledge both within their organization and externally to their shareholders and customers. Most of the previous research related to KM are dedicated to investigate the role of information technology in extracting, capturing, sharing, coverting organizational knowledge. Knowledge workers, however, are paid less attention though they are the key players in KM activities such as knowledge creation, dissemination, capture and conversion. We regard knowledge workers as a major component of KM and starting point of understanding organizational knowledge activities. Therefore we adopt a method to understand and analyze knowldge workers' social relationships. In this paper we investigate Social Network Analysis (SNA) as a tool for analyzing knowledge network. We introduce the basic concept of SNA and suggest a framework for implementing knowledge network by explaining how SNA can be used for analyzing knowledge network. We also propose a numerical method for identifying knowledge workers using SNA after classifying knowledge workers. The suggested method is expected to help understanding key knowledge players within an organization.

• 동의생리병리학회지
• /
• 제27권4호
• /
• pp.362-366
• /
• 2013

We are building an Korean Medicine ontology and disassembling indication terms of medicinal materials and formulas. When we disassemble these terms, an expert can disagree about another expert's result, so participants have to consider another opinion and verify each other concurrently. To achieve this, we have developed a web-based tool that support users in refining terms, disassembling them into the minimum meaning efficiently. With this tool, plural participants refer to each other and make use of this as a verification method. This would have enabled participants to achieve consensus. Due to the nature of the traditional Korean Medicine knowledge which have rich implications and is complicated,E there would be a various result of refinement, disassembly, analysis and another processing. This tool assists users in minimizing the differences and maintaining objectivity by agreement. We have refined and analyzed 4,756 terms from materials and formulas indication in Korean Medicine ontology using this tool. And we concluded that disassembled data increases the percentage of linkage between diseases and medicinal treatments and established an infrastructure for the extensible knowledge.

• 지식경영연구
• /
• 제5권2호
• /
• pp.53-65
• /
• 2004

Organizations continue to invest heavily in the acquisition of knowledge management systems (KMS). The overriding belief is that KMS-task fit will become more productive. A survey of users was conducted to better understand the factors that affect KMS-task fit to better explain KMS performance perspective on knowledge circulation process. This involves stating the research hypotheses among the following constructs: the characteristics of KMS, the fitness of task characteristics, and KMS performance. The findings indicate that the characteristics of KMS positively affect the fitness of task characteristics. The fitness of task characteristics are affecting KMS performance. The results of this study suggest that task-technology fit could be the basis for a strong diagnostic tool to evaluate whether KMS in a given organization are meeting user needs.

• 한국전자거래학회지
• /
• 제9권1호
• /
• pp.221-235
• /
• 2004

본 논문은 많은 기업들이 지식 공유를 위하여 성공적인 지식경영 시스템 도입을 추진하는 과정에서 조직문화 요소와 관계에 대한 연구를 목적으로 한다. 최근논문에서 언급된바와 같이 기업이 지식경영 시스템을 도입하는데 많은 문제점이 발견되고 있다는 것을 알 수 있다. 발견된 문제점 중 조직문화 요소에 대한 연구가 미흡하여 성공적인 지식경영 시스템 구현을 위한 장애가 되고 있다. 본 연구는 특정한 조직문화 요소가 지식경영 시스템 구현에 미치는 관계를 살펴보기 위해 OCP와 KMTP tool을 사용하여 26개의 미국 기업을 대상으로 설문조사를 한 결과를 기반으로 성공적인 지식경영 시스템 구현에 관계가 있는 기업 조직문화 요소를 연구 조사하였다.

• 유통과학연구
• /
• 제20권9호
• /
• pp.47-59
• /
• 2022

Purpose: This study aims to analyze a triangulation model: 1) the effect of entrepreneurship education (EE) on entrepreneurship knowledge (EK) and entrepreneurship mindset (EM) and 2) the effect of EK on EM. Entrepreneurship education is a medium and pedagogical tool to cultivate EK and EM with the purpose enhancing of students who will be interested in entrepreneurial activities. Knowledge of adequate entrepreneurship is a stimulus strategic tool to develop the entrepreneurial mindset of students. Research design, data, and methodology: There were 278 respondents from Business and Non-Business both Indonesian and Malaysian students. The research design was quantitative and evaluated three hypotheses by PLS-SEM using WarpPLS v.7 software. Statistic descriptive for respondent used SPSS IBM v.26. Results: The results showed that the three hypotheses had supported with a significant level of p-value < 0.001. It's meant EE enhanced both EK and EM. Furthermore, increasing EM was not only by EE, but also EM could be increased through EK. Conclusions: The novelty of this research contributes to filling the knowledge gap in the development of pedagogy in the pursuit of entrepreneurship using a triangulation model of the relationship among EE, EK, and EM.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
• /
• pp.271-275
• /
• 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)

• 통상정보연구
• /
• 제10권4호
• /
• pp.23-45
• /
• 2008

As Knowledge Management (KM) has taken an essential position of managing businesses in the knowledge-oriented society, many companies have adopted Knowledge Management System (KMS) into their organization. Many have questioned, however, in the result and the effectiveness in KMS. The purpose of this study is to explore ways to improve the current KMS by analyzing and identifying the causes that affect effectiveness of KMS. Blog which is an effective tool for communication could be used for KMS in order to make KMS more user friendly and more effective. This research is intended to conduct an empirical study on the differences between Blog-based KMS and Non-Blog-based KMS and suggest resolutions to potential issues of KMS. Blog-based KMS users show higher degree of satisfaction and usage toward their system. The result of this study suggests that the differences between two groups are primarily on system quality and knowledge quality, and many of these differences come from functions and characteristics of Blog.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제5권4호
• /
• pp.353-359
• /
• 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).

• Child Health Nursing Research
• /
• 제5권3호
• /
• pp.262-280
• /
• 1999

This study was Performed to understand Pediatric Pain management status and nurses' knowledge and attitudes toward it. In addition. it aimed to provide basic data in order to establish effective nursing intervention strategies by confirming the barriers of effective pain management in practice. The subjects were 195 nurses working in pediatric units(general pediatric unit. oncology unit, neonatal unit. neonatal ICU, Pediatric ICU) of 8 university hospitals and one general hospital. Data was collected by the questionnaire from the 3rd of August to the 20th of September in 1999. The instrument developed by Sanna(1999) to measure nurses' knowledge and their attitudes and the other tool by Cleeland(1984) to evaluate barriers in effective Pain management was used. Results of this study are summarized as follows 1. Most nurses learn about the pain management knowledges from through regular curriculum of nursing school(62.0%) And almost nurses(90.8%) don't used to utilize pain assessment tool, but the 'Faces Rating Scale' is the most frequently used by nurses. 2. The use of pain medication(65.6%) is most frequently taken by nurses as pain management and is followed by massage (55.9%) , distraction(27.7%). 3. Nurses' knowledge level is moderate (Mn=3.07). Nurses don't seem to understand pediatric Physical development (Mn = 2.86), psychological development(Mn=2.94) well, meanwhile they seem relatively Quite knowledgeable about the way pain emerges. 4. Nurses' attitudes toward pain is based on behavioral and physiological responses to Pain. They believe 'changes in behavior are a way of assessing pain in child' and 'acute pain increases the number of respiration' Nurses are ready to accept pediatric pain, but are not positive in adopting pain intervention in practice. 5. The barriers of effective pain management are inadequate assessment of pain and pain relief(81.5%), ineffective incorporation among health professionals(80%), and lack of equipment or skills(80.0%).

• 한국기술혁신학회:학술대회논문집
• /
• 한국기술혁신학회 2002년도 춘계학술대회
• /
• pp.199-207
• /
• 2002

이 논문에서는 연구개발 활동에 있어 지식경영의 도입 필요성과 방안에 대해 분석하였다. 연구개발 조직에서의 지식경영은 기술혁신을 달성하기 위한 가장 유효한 전략으로 평가되고 있는 수단이다. 본 연구에서는 분석의 객관성 유지를 위해 먼저 연구개발 패러다임 변화를 이해하고 이를 바탕으로 지식경영 도입의 성패요인을 분석하였다. 마지막으로 원자력 연구개발에 있어 지식경영의 도입을 위한 체제를 제안하고 각 분야의 역할을 할당하였다.