• 한국IT서비스학회:학술대회논문집
• /
• 2006.11a
• /
• pp.320-326
• /
• 2006

지식경영의 기본적인 목적은 조직 구성원간에 효과적으로 지식을 공유 하도록 하는 것이다. 지식 경영에 관련된 많은 연구들은 지식 공유가 필요한 상황 및 지식 공유를 촉진시키는 조직 환경에 집중해왔다. 그러나 조직에 속한 개인들이 누구와 어떻게 지식을 공유하는 것이 가장 효과적인지에 대해서는 충분한 연구가 이루어지지 않았다. 본 연구의 첫 번째 주제는 지식 전달자와 지식 수용자간에 지식을 주고 받을 때 전달되는 지식 속성의 질을 결정하는 요인을 규명하는 것이다. 특히 본 연구는 프로젝트를 수행하는 개인간의 지식 공유에 초점을 맞추고 있다. 본 연구의 두 번째 주제는 지식 속성의 구성과 지식 속성이 지식 효용 및 업무 결과의 물리적 그리고 심리적 측면에 어떠한 영향을 미치는 지를 규명하는 것이다. 본 연구는 기존 연구와 달리 지식 속성의 질을 지식 공유의 성공 여부를 결정짓는 중요 요소로 인지한다.

• 한국디지털정책학회:학술대회논문집
• /
• 2007.06a
• /
• pp.215-221
• /
• 2007

본 연구는 지식경영 시스템을 구축한 삼성그룹 중 5개사 사례분석을 통해 공통점과 차이점을 분석하고 일반화된 지식경영 추진방안 시사점을 도출하여 지식경영 도입을 검토하고 있는 기업에게 지식경영 구축의 방향을 설정하는데 도움을 주고자 한다. 분석결과 최고 경영층 지원을 비롯한 지식경영 공감대 형성이 기초가 되어 자발적인 임직원 참여가 중요한 요소로 대두되었다.

• The Journal of the Korea Contents Association
• /
• v.10 no.9
• /
• pp.348-362
• /
• 2010

In the Knowledge-based economy, it is inevitable for companies to implement knowledge management(KM in short) to improve management performance. In order to better understand the KM, it is necessary to examine the relationship between success factors of KM and KM performance in agribusiness sector. This study empirically analyzes the impact of success factors of Knowledge Management on companies' management performance in agribusiness cluster. From the survey data of 43 companies located in Sunchang fermented soybean products Industrial cluster, the study finds that four factors- learning culture, network, knowledge sharing and knowledge creating- influence management performance in a positive way. It also examines whether Industrial cluster strategy functions as a moderator between KM success factors and companies' performance. Furthermore, this study concludes that Sunchang fermented soybean Industrial cluster has not reached to the final stage of KM and suggests elements for further improvements.

• Journal of the Korean Society for information Management
• /
• v.27 no.2
• /
• pp.61-74
• /
• 2010

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

• Journal of Information Management
• /
• v.42 no.1
• /
• pp.199-219
• /
• 2011

Currently, managers and researchers have come to recognize the importance of knowledge as an asset to the organization. Knowledge Management System (KMS) is developed as a tool to manage the organizational knowledge. A significant literature about Knowledge Management in the private, but not public sector. The purpose of the study is to analyze the influencing factors for KMS utilization in a public sector, Jeju Provincial Government Organization. This study performed an empirical research on factors that affect the use of KMS using Knowledge Management system capability and individual & organizational capability criteria. Survey was conducted with 150 employees from Jeju Provincial Government Organization. The Results show that an ability to create knowledge, and knowledge infrastructure are significant factors in determining the level of usage of Knowledge Management system. In particular, the most important factor that influences the usage of Knowledge Management is knowledge creation. and then knowledge infrastructure. The result also shows that the usage of KMS is affected by management's support willingness.

• Journal of KIISE:Databases
• /
• v.31 no.3
• /
• pp.205-218
• /
• 2004

As the development of database technology for managing spatiotemporal data, new types of spatiotemporal application services that need the spatiotemporal knowledge discovery from the large volume of spatiotemporal data are emerging. In this paper, a new 3-layered discovery framework for the development of spatiotemporal knowledge discovery techniques is proposed. The framework supports the foundation model in order not only to define spatiotemporal knowledge discovery problem but also to represent the definition of spatiotemporal knowledge and their relationships. Also the components of spatiotemporal knowledge discovery system and its implementation model are proposed. The discovery framework proposed in this paper satisfies the requirement of the development of new types of spatiotemporal knowledge discovery techniques. The proposed framework can support the representation model of each element and relationships between objects of the spatiotemporal data set, information and knowledge. Hence in designing of the new types of knowledge discovery such as spatiotemporal moving pattern, the proposed framework can not only formalize but also simplify the discovery problems.

• Journal of Intelligence and Information Systems
• /
• v.12 no.1
• /
• pp.57-73
• /
• 2006

This paper describes a methodology for automating the material handling equipment (MHE) evaluation and selection processes by combining knowledge-based rules and fuzzy multi-criteria decision making approach. The methodology is proposed to solve the MHE selection problems under fuzzy environment. At the primary stage, the most appropriate MHE type among the alternatives for each material flow link is searched. Knowledge-based rules are employed to retrieve the alternatives for each material flow link. To consider and compare the alternatives, multiple design factors are considered. These factors include both quantitative and qualitative measures. The qualitative measures are converted to numerical measures using fuzzy logic. The concept of fuzzy logic is applied to evaluation matrices used for the selection of the most suitable MHE through a fuzzy linguistic approach. Thus, this paper demonstrates the potential applicability of fuzzy theory in the MHE applications and provides a systemic guidance in the decision-making process.

• Journal of the Korean Society for Library and Information Science
• /
• v.44 no.2
• /
• pp.427-445
• /
• 2010

In our knowledge-based society, a corporation's main growth engine consists of its unique core competences and how these are organized rather than materialized competitive advantage. Intangible factors such as creative organizational culture, learning capability, brands, marketing ability and technology are notable examples of such core competencies. To ensure constant development of a corporation, it is important to understand the environment in which these factors operate. Drawing on literature research, this paper looks at organizational culture and change, and employees' attitudes and resistance factors to such change. To strengthen the explanation of this study the Korea Asset Management Corporation was used as a case study. From the point of view of information science, knowledge has been viewed as that which is found in books and databases. Such "knowledge" is storable, passive and unchangeable. However, more recently it is seen by many researchers that this approach is limited in that it ignores the knowledge that "sits" in human "bodyminds" and organizations. Such knowledge forms the backbone of organizational culture and should be considered in any meaningful study of information.

• Journal of Engineering Education Research
• /
• v.8 no.3
• /
• pp.49-56
• /
• 2005

The purposes of this study are to select assessment components for the engineering design ability and to verify the validity of the selected assessment components. From the results of the study, the following conclusions were made. $\cdot$ Social Ability : 'Communication' and 'Teamwork' $\cdot$ Procedure Ability : 'Acknowledging and Defining Problems', 'Planning and Maintaining', 'Collecting Information', 'Deriving Ideas' and 'Evaluating Ideas' $\cdot$ Experience : 'Engineering Experience' and 'Science Experience' $\cdot$ Knowledge : 'Engineering Knowledge', 'Science Knowledge' and 'Mathematics Knowledge', 'Visualization Ability': 'Sketching' and 'Drawing' $\cdot$ Reasoning : 'Converging Reasoning' 'Inductive Reasoning' and 'Intuitive Reasoning'

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2006.06a
• /
• pp.237-244
• /
• 2006

시맨틱 웹 관련연구가 증가함에 따라 하나의 관련분야로 규칙기반 시스템 동의 지능적인 웹 환경에 대한 기대 역시 커지고 있다. 하지만 규칙기반 시스템을 활용하기에는 아직도 규칙습득이 많은 제약이 되고 있다. 규칙습득은 웹으로부터 필요한 규칙을 습득하는 일련의 방법인데, 이러한 규칙을 습득하기 위해서는 규칙구성요소를 먼저 식별해야만 한다. 그러나 이러한 규칙을 식별하는 작업은 대부분 지식관리자의 수작업에 의해 이루어지고 있다. 본 연구의 목적은 웹으로부터 규칙구성요소 식별을 최대한 자동화하고 지식관리자의 수작업을 최소화함으로써 그 부담을 줄여 주는 데 있다. 이러한 방법으로는 온톨로지를 근간으로 하여 웹 페이지와의 문자열 비교, 이러한 비교의 한계를 극복하기 위한 확장등의 방법이 있다. 첫 번째 방법은 온툴로지 기반으로 규칙식별 할 웹 페이지와 비교를 통해 지식관리자의 규칙식별 과정을 최대한 자동화하여 주는 것이다. 여기서 만약 현재 규칙을 식별하고자 하는 웹 사이트와 유사한 시스템의 규칙들을 활용하여 일반화 된 온툴로지가 구축되었다면, 이 온톨로지를 기반으로 규칙을 식별하고자 하는 웹사이트와의 비교를 통해 규칙구성요소를 자동화하여 추출 할 수 있다. 이러한 온툴로지를 기반으로 규칙을 식별하기 위해서는 문자열 비교 기법을 사용하게 된다. 하지만 단순한 문자열 비교 기법만으로는 규칙을 식별하는 데에 자연어 처리에 대한 한계가 있다. 이를 극복하기 위해 다음의 두 번째 방법을 사용하고자 한다. 두 번째 방법은 정형화되지 않은 정보들을 확장하여 사용하는 것이다. 우선 찾고자 하는 단어들의 원형을 찾기 위한 스테밍 알고리즘 기법, WordNet을 이용하여 동의어 유의어등으로 확장을 하는 WordNet Expansion 기법, 의미 유사도를 측정하기 위한 방법인 Semantic Similarity Measure 등을 단계적으로 수행하여 자동화되고 정확한 규칙식별을 하고자 한다. 이러한 방법들의 조합으로 인하여 규칙구성요소 추출이 되지 않을 후보 단어들의 수를 줄여서 보다 더 정확하고, 지능적인 규칙구성요소 추출 방법론을 제시하고 구현하여 지식관리자의 규칙습득에 대한 부담을 줄여 주고자 한다.