• International Journal of Contents
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• 제12권4호
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• pp.31-44
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• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• 한국도서관정보학회지
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• 제30권2호
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• pp.155-178
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• 1999

인용분석은 원문헌에서 선행문헌들을 인용하는 현상에 근거하는 정보분석 방법이다. 인용분석과 그 응용에 대해서는 여러가지 잘 알려진 연구가 많이 있다. 이 논문은 이러한 광범위한 응용영역에 대한 검토보다, 인용분석의 사회학적 측면을 설명하고자 한다. 특히, 이 논문은 지식사회학을 연구하는 계량적 방법으로서 인용분석의 유용성을 검토하게 된다. 이를 위해, 인용행태, 인용계수, 영향요인, 인용관계 둥을 파악하는 기본방법들을 기술하였다. 그런 다음 지식사회학의 네가지 응용영역을 구분하여 제시하고 있다: (1) 지식자원의 유통, (2) 지식자원의 평가, (3) 지식공동체의 평가, (4) 지식정책적 활용. 마지막으로 이 논문은 인용분석의 한계와 결점을 인용과 인용분석 그 자체로 나누어 설명하고 있다.

• 지식경영연구
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• 제15권3호
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• pp.169-188
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• 2014

Big data seems to change knowledge management system and method of enterprises to large extent. Further, the type of method for utilization of unstructured data including image, v ideo, sensor data a nd text may determine the decision on expansion of knowledge management of the enterprise or government. This paper, in this light, attempts to figure out the prediction model of demands and supply for big data market of Korea trough data mining decision making tree by utilizing text bit data generated for 3 years on web and SNS for expansion of form for knowledge management. The results indicate that the market focused on H/W and storage leading by the government is big data market of Korea. Further, the demanders of big data have been found to put important on attribute factors including interest, quickness and economics. Meanwhile, innovation and growth have been found to be the attribute factors onto which the supplier puts importance. The results of this research show that the factors affect acceptance of big data technology differ for supplier and demander. This article may provide basic method for study on expansion of analysis form of enterprise and connection with its management activities.

• 한국사회복지학
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• 제61권4호
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• pp.217-241
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• 2009

본 연구는 사회복지사들의 실천지식의 생성과정과 내용 그리고 규범적 실천을 살펴보고 사회복지 지식의 재구조화에 시사점을 찾고자 하는 목적하에 수행되었다. 연구방법으로는 성찰적 내러티브 방법을 원용하였고 연구에는 6명의 현직 사회복지사가 참여했다. 연구결과 참여자들은 기존이론과 지식체계로 설명할 수 없는 현상에 직면했을 때 자기 성찰을 통해 지식을 만들었고 실천을 통해 이를 확인하고 재생산하는 경향을 보였다. 연구결과를 근거로 실천현장에서의 지식개발 방법론으로 귀추 추론 양식, 사회복지교육과정에서 인문학 교육의 강화, 네트워크의 지식공동체로의 재구조화를 제언했다.

• 지능정보연구
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• 제6권1호
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• pp.35-50
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• 2000

Diverse requirements of users on web-based model management force a system agent to develop user-adaptive building a model in reality and providing an adequate solution method of the model. The relationship between models is important knowledge for the agent to effectively build a new model to adaptively adjust an existing model under a problem and to efficiently connect the new model into an adequate solution method. Since the generating process of the inter-model relationship is more difficult than the building a new model however the process mostly depends on the knowledge of operation research experts. Without the adequate scheme of the inter-model relationship the burden of the management for the agent increases rapidly and the quality of the services may worsen. This study shows that meta-knowledge generated from relationship between models is important for the user to build a model in reality and to acquire the solver appropriate to the model. The relationship that consists of common and exclusive objects between models can be represented by frames. The system under development to implement the idea includes user-adaptive ability which identifies a model through forward chaining method and searches the solver appropriate to the model by using the meta knowledge. We illustrate the meta knowledge with an applied delivery system in supply chain management.

• 지식경영연구
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• 제17권4호
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• pp.1-25
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• 2016

The main purpose of this study is to examine relations among authentic leadership, trust for leaders, psychological well-being, and knowledge sharing. Authentic leadership proposes positive and interactional approach between leaders and subordinates. Authentic leaders are aware of their values and belief, and they keep their personal goals and support their followers. Such behaviors boost psychological well-being, knowledge sharing, and trust for leaders. To analyze the framework proposed, survey data was collected from 164 employees of three companies. In particular, this study designed a robust research method by assessing model fit and avoiding common method bias issues. The empirical results of this study are as follows. Authentic leadership positively influences trust for leaders and psychological well-being. Trust for leaders is shown to have positive impacts on psychological well-being and knowledge sharing. In addition, followers' psychological well-being positively influences knowledge sharing activities. This study contributes to the comprehension of the structural relationships among authentic leadership, trust for leaders, psychological well-being, and knowledge sharing. The results suggest that authentic leadership and trust for leaders were key success factors of building positive mindset and capability of employees in the forms of psychological well-being and knowledge sharing activities.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.555-563
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• 2020

The study seeks to investigate the relationship between knowledge sharing and innovation in garment and textile enterprises. While previous research has found many factors influencing knowledge sharing, little research has been done about the influence of knowledge sharing on innovation in enterprises in developing countries like Vietnam. In particular, the textile industry plays an important role in export, but outsourcing is accounting for a high proportion of trade; it is necessary to increase innovation in order to increase the competitive advantage by internal capacity. The data is collected from a survey of 245 employees at 20 textile and garment enterprises in Vietnam to study the knowledge sharing influence on innovation. The methodology includes pilot study and quantitative method. The pilot study tests the questionnaire on the respondents. The quantitative method applies SEM analysis to measure the knowledge sharing influence on innovation. The results identify eight factors that positively impact knowledge sharing: rewarding, teamwork, management support, joy of knowledge sharing, communication, trust, commitment, and information technology. This study also shows that knowledge sharing affects innovation. The main findings are discussed for textile and garment enterprises to apply innovative capacity in the context of increasing global integration.

• 한국의류학회지
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• 제21권3호
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• pp.641-654
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• 1997

The purpose of this study is to investigate the relationship between the consumer's product knowledge and his/her ability to obtain information when buying clothing. For the purpose of this study, questionnaires were given to 550 university students living in Seoul and the Kwgi area. The questionnaires were designed to measure the consumer's knowledge about examine his/her method of gathering information and to obtain some personal information Vsing a base of 407 students, data was analyzed through cross- tabulation, the chi square test, the t-test, the one-way ANOVA accompanied by a post-hoc analysis with the Tukey method, Pearson's correlation coefficient, and the Spearman rho. The results of this study were as follows. 1) There was a significant difference in the amount of iuormation seeking between groups with different knowledge related to clothing. 2) The use of information sources was found to be significantly related to the consumer's subjective and objective knowledge. 3) The consumer's level of knowledge about clothing was related to the store characteristics that he/she took into consideration. The difference between the groups came from the number of store characteristics taken into consideration, rather than from the contents. The group that had more knowledge related to clothing was more aware of store characteristics than the other level stoup. Price, quality, uniqueness, and variety of clothing were equally important to by groups. 4) A moderate relationship was found between the consumer's subjective and objective knowledge, and between his/her purchasing experience and objective knowledge. There was a relatively high relationship between purchasing experience and subjective knowledge.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1-4
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• 2003

Knowledge classification and expression of constructed knowledge have been main research issues in the field of knowledge representation. Constructed design knowledge of the former product loses its utility when new products with different structures are introduced to the market. In order to construct the design knowledge for a new product. designers need to reconstruct the design knowledge with new relationships. The design knowledge has been constructed with level trees, but it is difficult to rearrange the relations. Design DNA is proposed in this work in order to facilitate the rearrangement of design knowledge and give flexibility to knowledge structure. Design DNA is based on Layout-oriented domain knowledge and Function-oriented domain knowledge, which enables to generate new design knowledge that will result in new part geometries for given constraints on the part functions. Design DNA is applied to the design knowledge of lever system of the automatic transmission of passenger cars as an example.

• Journal of Information Science Theory and Practice
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• 제9권4호
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• pp.35-49
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• 2021

In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.