• Journal of Intelligence and Information Systems
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• 제7권2호
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• pp.95-115
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• 2001

We propose classifying the venture firms into four types of knowledge management. For this purpose, we collected questionnaire data from 101 venture firms listed in KOSDAQ, and applied a unsupervised neural network algorithm SOM to obtain four clusters representing knowledge management types-High Tech Type, Organizational Knowledge Type, Information Technology Type, and Beginner Type. Based on the results, we conclude that the venture firms listed in KOSDAQ should first know its own knowledge management type, and then apply appropriate strategies to take advantage of the knowledge management impacts on the competitiveness.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 한국지능정보시스템학회 2002년도 춘계학술대회 논문집
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• pp.294-301
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• 2002

The purpose of this research is to investigate the level of knowledge management in Korea small firms. The research scheme was experimented through a questionnaire survey answered by 150 firms. The research model was composed of five groups : 1) knowledge management and business strategic, 2) a culture and structure for knowledge management, 3) learning process and community 4) information technology to support knowledge management 5) a reward and performance measurement. The results of this research indicated that the level of knowledge management is different according to the characteristic of small firms. The result of the empirical analysis can be summarized as follows : First, the business culture for knowledge management is not performed pertinently. Second, the learning process for knowledge management and a reward and performance measurement is insufficient. Third, the characteristics of a firm should be considered for measuring the level of knowledge management.

• Information Systems Review
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• 제12권1호
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• pp.59-79
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• 2010

According to resource based view, knowledge is regarded as a salient factor to improve an organization's efficiency in the current fast-changing business environment. Knowledge management (KM) may encourage employees to share and exchange knowledge in the organization in order to improve and sustain a competitive advantage over other companies. The proposed research model examines the impacts of KM performances' antecedents on an employee's absorptive capacity. This study identifies KM performances as employee's satisfaction about KM and shared knowledge quality. This study considers KM performances as the major determinants that enhance his/her absorptive capacity. This study also investigates the key antecedents of KM performances. The research model posits extrinsic reward, intrinsic reward, and relational reward as the KM performances' antecedents. Furthermore, this study examines the difference of the antecedents' effects in terms of firm's type. The proposed research model was tested by using survey data collected from 1,103 employees of 2 public enterprises and 907 employees of 5 private enterprises. The findings of this study showed that employee's satisfaction about KM and shared knowledge quality play a significant role in enhancing employee' absorptive capacity. Extrinsic reward only significantly influences employee's satisfaction about KM, whereas both intrinsic and relational rewards serve as the salient antecedents of improving both KM performances. The results also shed light on the moderating role of firm's type. Theoretical and practical implications of this study are discussed.

• Journal of the Korean Society for Library and Information Science
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• 제40권2호
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• pp.103-123
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• 2006

Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.

• Proceedings of the Korean Society for Quality Management Conference
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.97-101
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• 2010

경제가 발달되고 경제의 기능이 전문화됨에 따라 다양한 지식서비스가 등장하고 있다. 실제로 우리 경제에서 지식서비스 산업이 차지하는 비중은 지속적으로 증가하고 있으며, 지식서비스 산업의 경쟁력이 나아가 국가 경제의 경쟁력이 되고 있다. 이러한 지식서비스 산업에 있어서 서비스 품질은 산업의 경쟁력을 결정하는 핵심적인 요소 중의 하나이다. 지식서비스 산업 중 세무대리, 회계, 특허, 컨설팅 등과 같이 자격증을 보유한 경영자가 운영하는 지식서비스 산업의 경우는 경영자의 리더십에 따라 서비스의 품질과 경영의 성과가 달라질 수 있다. 본 연구에서는 지식서비스 산업의 경영자의 리더십과 서비스 품질, 그리고 경영성과에 대한 구조적인 관계를 실증분석할 모형을 제시하고자 한다.

• Journal of Digital Convergence
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• 제16권11호
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• pp.231-236
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• 2018

In order to survive the competition, companies are developing new knowledge, applying and communicating, and accumulating numerous knowledge management activities. Therefore, it is important to establish and operate an effective knowledge management system to introduce and utilize effective knowledge management. So, the purpose of this study is to confirm the relation between the learning orientation of the organization and the knowledge management which are the main results in the knowledge management. In other words, this study investigated how the knowledge management system of a company affects the learning orientation of the corporate members, so as to be a basis for establishing the direction of knowledge management in the future. This study synthesized theory and previous studies, developed hypotheses and research models, and conducted empirical analysis through questionnaire surveys. This study is analyzed that knowledge management system has a positive effect on learning growth will. In addition, it was confirmed that the knowledge management system has a statistically significant relationship with the intention of internal improvement. Therefore, for the successful operation and management of the support management system, maintenance of the system that can focus on the strategic and appropriate learning model of the organization and the role of the organization member is an important variable. The results of this study are expected to provide meaningful guidance not only in the practical field but also in the study of the organization's knowledge management system.

• Knowledge Management Research
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• 제22권1호
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• pp.139-154
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• 2021

As environmental impacts on business management rapidly rise, the importance of resilience has been emphasized ever. Resilience can be defined as the capability to quickly return to daily operational levels after external shocks. Thus, we suggest and empirically verify a conceptual model using enterprise-level resilience in knowledge management. Based on previous studies, sub-components of resilience have been distinguished into R4(i.e., Robustness, Redundancy, Resourcefulness, and Rapidity) and the internal and external knowledge management activities of companies have been identified as prior factors. Considering resilience as mediating variables, firms' knowledge management activities are assumed to affect a firms' performance. We collected data with the structured survey which had been developed from the stepwise approach to verify the structural model that leads to knowledge management activities, resilience, and performance. In further research, we request exploratory research on independent variables that can increase the firms' resilience and on dependent variables that would be influenced by the enterprise-level resilience.

• Journal of Information Technology Application
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• 제1권
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• pp.3-27
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• 1999

최근 기업의 경쟁력 강화를 위하여 기업내의 지식을 중요한 자원으로 인식하고 활용하는 지식경영의 필요성이 강력히 대두되고 있다. 이러한 지식경영의 주요 활동을 지원할 구체적인 방법론으로 정보기술의 활용 방안이 다각도로 제시되고 있으나, 실제적인 연구는 아직 초보단계에 있다고 하겠다. 본 연구에서는 지식의 생성, 저장, 그리고 추출 및 활용이라는 지식경영의 주요 과제를 효과적으로 해결하는 방안으로써 인공지능기법인 사례기반추론과 유전자 알고리즘을 이용한 통합방법론을 제시한다. 본 연구에서 제시하고 있는 방법론은 생성된 지식의 표현, 저장, 그리고 추출에 사례기반추론기법을 활용하였다는 점 이외에 다음과 같은 두 가지 특징을 가지고 있다. 첫째로는, 해결하고자 하는 문제에 가장 적절한 과거 지식이 추출되도록 함으로써 활용 효과를 높일 수 있도록 하였다는 점이다. 둘째로는, 환경의 변화를 반영할 수 있는 방안을 제시하고 있다는 점이다. 본 인공지능 통합방법론은 신용평가부서의 지식관리모형을 통해 검증해 본 결과 그 효과가 입증되었다.

• The Journal of the Korea Contents Association
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• 제13권11호
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• pp.845-855
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• 2013

In today's knowledge-based industries, knowledge can be said to be a significant factor that has a decisive impact on corporate competitiveness. Recently, Korean construction companies have been going through a difficult period of time because of various negative domestic and foreign factors, such as economic decline and a continued sluggish domestic construction market, mainly due to the Korean government's real estate regulations and increasing competition from overseas companies with improved technologies. To help domestic construction companies navigate such an environment, this study empirically analyzes how the nature of corporate knowledge impacts the acquisition, transfer and deployment of knowledge within the organization of a company. Through such empirical analysis, we looked into how internal attributes of corporate knowledge affect the acquisition, transfer and application of such knowledge for domestic construction companies, with the application of the structural equation modeling (SEM). According to the results of this study, it is clear that the attributes of corporate knowledge have a significant impact on the acquisition, transfer and application of corporate knowledge, and therefore on the managerial performance of domestic companies.

• Knowledge Management Research
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• 제22권1호
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• pp.121-138
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• 2021

In the rapidly changing business environment, the intention to start a new business is strengthening. In this study, in order to confirm the effect on the entrepreneurial intention, the relationship and the effect among technical capability, and job satisfaction, and entrepreneurship, which are the second order factor consisting of risk taking, desire for achievement, and innovativeness, on entrepreneurial intention were analyzed to identify the effect of business intentions from the perspective of knowledge management.. To this end, the proposed research model was statistically verified using the Partial Least Square Structural Equation Model. Under analysis, survey data were collected online for 280 employees currently in the workplace, and the research model was empirically analyzed through the structural equation model. As a result of the analysis, it was confirmed that all the suggested variables had a significant effect on the entrepreneurial intention, and that job satisfaction had a negative moderating effect on entrepreneurial intention by interacting with entrepreneurship. The results of this study are expected to provide practical and theoretical implications from a knowledge management perspective.