• Journal of the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.59-68
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• 2006

This study investigated preschoolers' emotionality, emotional knowledge, event knowledge, and interpersonal problem solving strategies according to their sex and age, and the relationships among them. Subjects were 116 preschoolers (73 boys and 43 girls; 68 four- and 48 five-year-olds). Results showed that girls were higher in negative emotionality (sadness) than boys. Also, 5-year-old children were higher in emotional knowledge, event knowledge, and forceful problem solving strategies than 4-year-olds. Furthermore, children's event knowledge was positively related to their relevant problem solving strategies, while children's event knowledge was negatively related to their forceful problem solving strategies. These findings provide a preliminary evidence that children's event knowledge may predict their interpersonal problem solving strategies.

• Knowledge Management Research
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• v.7 no.1
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• pp.65-80
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• 2006

Recently, Korean economy is boosted by the active introduction of many venture businesses full of entrepreneurship. It has been widely accepted implicitly that success of the venture business originates from unique style of knowledge management. This assumption looks natural when we consider the fact that success of the venture business heavily depends on differentiated intelligent asset or knowledge. However, such implicit belief has never been tested empirically. To fill the research void like this, this paper proposes an empirical derivation of key success factors from the venture businesses listed in KOSDAQ. To add rigor to our results, we performed regression analysis by using the derived key success factors as independent variables, and introducing organization efficiency, job satisfaction, and accomplishment motivation as dependent variables. Regression results showed that our approach is justified from the statistical perspective.

• The Journal of Information Systems
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• v.19 no.4
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• pp.167-181
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• 2010

Although This study was designed to evaluate internet communities based on knowledge creation and learning. To do so, we created and tested our research model, by using selected 20 different knowledge communities. Using the K-Means Clustering techniques, we found different characteristics and evaluated these characteristics by the criterion. The results of discriminant analysis suggested 4 different models such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' The results of this study indicated that it can cover some reasons for development process of knowledge communities and that it can also create a strategic framework for practical use of knowledge communities.

• Journal of Korean Elementary Science Education
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• v.38 no.4
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• pp.484-495
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• 2019

This study divided pre-service elementary school teachers' knowledge conversion into four types, socialization, externalization, combination and internalization, based on their inquiry activities on the life cycle of cabbage butterfly. As research subjects, this study collected results from 24 pre-service elementary school teachers who carried out inquires on the life cycle of cabbage butterfly for about 2 months. The type of socialization indicates the conversion of tacit knowledge into tacit knowledge, and this study found out that pre-service elementary school teachers acquired and accumulated tacit knowledge from their fellow pre-service teachers, professors and even acquaintances inside and outside the lab. However, there appeared no process that they shared their tacit knowledge with other pre-service teachers or delivered it to them. The type of externalization indicates the conversion of tacit knowledge into explicit knowledge, and this study discovered some cases that pre-service elementary school teachers expressed their inner tacit knowledge into explicit knowledge. However, there was no case found that they converted the verbally-unexpressed tacit knowledge of their fellow teachers or experts into well-defined explicit knowledge. The type of combination indicates the conversion of explicit knowledge into explicit knowledge, and this study discovered some cases that they collected explicit knowledge and converted it into new explicit knowledge for the acquisition, integration and delivery or distribution of explicit knowledge. However, there were few cases that they creatively devised new explicit knowledge by acquiring new knowledge through direct observation and supplementing the existing explicit knowledge. The type of internalization indicates the conversion of explicit knowledge into tacit knowledge, and this study discovered both explicit knowledge embodied through personal experiences and explicit knowledge embodied through simulations and experiments that formed tacit knowledge in process of examining the existing explicit knowledge.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1165-1168
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• 2002

Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences ［Chan 1992］. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

• Journal of Home Health Care Nursing
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• v.22 no.2
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• pp.291-299
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• 2015

Purpose: The purpose of this study was to examine the influences of sex-relatedl knowledge, sex-related attitude and knowledge of cervical cancer on knowledge of human papilloma virus (HPV) among female high school students. Methods: A cross-sectional descriptive study was conducted with a convenience sample of 545 second-grade female high school students of three different schools. Results: Knowledge of HPV was positively correlated with sex-related knowledge (r=.36, p<.001), sex-related attitude (r=.14 p=.001) and knowledge of cervical cancer (r=.62, p<.001). Significant predictors affecting knowledge of HPV among female high school students were knowledge of cervical cancer (${\beta}$=.57) and sex-related knowledge (${\beta}$=.11), explaining 39.6% of the variance in knowledge of cervical cancer among female high school students (F=178.34, p<.001). Conclusion: Based on the outcomes of this study, in order to improve knowledge of HPV among female high school students, school based sexual education linked to HPV and cervical cancer must be included in the curriculum.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.469-472
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• 2006

In this thesis, We analyzed success enterprise case which is well worked by knowledge management and is gained effect results. We searched key factor for success knowledge management and found problem which is able to happen when is introduced by success enterprise in knowledge management. We applied to in franchies real field with key factor found above results and experimented others real fields.

• Knowledge Management Research
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• v.3 no.2
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• pp.71-84
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• 2002

Global firms have to acquire various kinds of knowledge from worldwide markets and use it strategically in local markets. Especially, the ability to learn competitive advantage of an industry leader or competing firm is a critical factor in a firm's competitiveness. The concept of knowledge transfer has been used to explain these phenomena. However, with the broadening concept of knowledge and increasing importance of interaction between firms, the perspective of knowledge transfer has reached its limits. In this study we will conceptualize the new concept of 'knowledge translation', and analyze the globalization case of Hyundai Motor Co. to improve the validity and usefulness of this perspective. The results show that knowledge translation is a critical factor of success in a firm's globalization and efficient management of the knowledge translation process enhances a firm's global competitiveness.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.15-21
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• 2012

Objective: We propose empathy as a user research method for service design. Background: We argue that empathy will enable user researchers to go beyond the conceptual knowledge to the design knowledge of user experience. Method: We tested our hypothesis by conducting an experiment in which subjects were required to propose solutions to improve the experience of a family member of a patient hospitalized in an emergency department. Results: We found that the subjects who empathized with the family member of a patient tended to suggest the solutions based on design knowledge rather than the solutions based on conceptual knowledge compared to the subjects who did not empathize. Conclusion: Data support our hypothesis that empathy enables people to focus on design knowledge rather than conceptual knowledge. Application: These findings provide practical implications for user researchers in service design.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.65-90
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• 2005

One of the major goals of using knowledge management systems(KMS) is the sharing of knowledge. The intent of an individual to share his/her knowledge plays a crucial role in sharing quality knowledge in corporations. However, there is little research that addresses this relationship between the intent to share and the use of KMS both from a holistic perspective and with empirical data analyses. To understand major factors that affect both knowledge sharing intent and the use of KMS, we conducted a field study from eight companies in four different industries which had been using KMS for at least a year. Using confirmatory factor analysis and structured equation modeling techniques, we have analyzed the relationships among top management support, trust among peers, trust in the organizational hierarchy, incentives and rewards, knowledge-sharing intent, KMS quality, knowledge quality, and the use of KMS. The research results show that top management support and trust between peers enhance the intent of sharing knowledge. We also found that top management support, knowledge-sharing intent, incentives and rewards, and the quality of knowledge have positive relationships with the use of KMS.