• Knowledge Management Research
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• v.18 no.4
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• pp.287-306
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• 2017

This research focus on the effect of developers' participation structure in knowledge creation and knowledge sharing activities in open source software development projects. Based on preferential selection theory, hypotheses of relationship between a developers' concentration of knowledge creation/sharing activities and collaboration performance was derived. To verify the hypotheses, we use the Gini coefficient in the commit contribution of the developers (knowledge creation) and the centralization index in the repository issue network (knowledge sharing network). Using social network analysis, this paper calculates centralization index from developers in the issue boards in each repository based on data from 837 repositories in GitHub, a leading open source software development platform. As a result, instead of all developers creating and sharing knowledge equally, only a few of developers creating and sharing knowledge intensively further improve the performance of the open collaboration. In other words, a few developers predominantly providing commit and actively responding to issues raised from other developers enhance the project performance. The results of this study are expected to be used by developers who manage open source software project as a governance strategy, which could improve the performance of open collaboration.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.6 s.150
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• pp.700-706
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledge and data. But, they don't have data mining tool to utilize accumulated data. This paper treats development of data mining tools for the utilization of shipbuilding knowledge based on genetic programming(GP).

• Journal of the Korean Home Economics Association
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• v.47 no.3
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• pp.87-102
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• 2009

This study was conducted to determine which variables of interest could be used to predict the development of infants. The variables of interest in this study were demographic variables regarding to the infants and mothers, maternal knowledge of infant development, maternal self-efficacy, maternal parenting stress, and infant development. The participants consisted of 252 infant-mother pairs and all infants included in this study were 15 months to 36 months of age. The development of Infants was assessed by classroom teachers. Data regarding the mothers’' demographic information, maternal knowledge of infant development, maternal self-efficacy, and maternal stress were gathered by maternal self-reported questionnaires. Data were analyzed by descriptive statistics, t tests, and regression analyses. The primary results demonstrated that family income, maternal infant knowledge, and maternal parenting stress were predictive of the infant development. In addition, different patterns in the results of the stepwise multiple regression were observed among the infant’'s of different age. Implications for research and practice were discussed along with the results of study.

• Korean Journal of Human Ecology
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• v.24 no.4
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• pp.587-601
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• 2015

The purposes of this study were to segment outdoor wear market based on consumer knowledge and consumer demand for function/design development, and to examine the differences of demographic characteristics and purchase behavior among the segmented markets. Data were collected using a questionnaire survey. Respondents were adults aged over 20 and who have experiences of purchasing outdoor wear. The survey was made up of the questions on consumer knowledge to outdoor wear, consumer demand for product development, purchase behavior, and demographic characteristics. Frequency analysis, descriptive analysis and chi-squared test were used to conduct the data analysis on 454 questionnaires. The results of this study were as follows. It showed that the consumer knowledge was a little high and the consumer demands for function/design development were high. Six segmented markets based on consumer knowledge and consumer demand for function development were significantly different in terms of gender, income, purchase frequency and total item holdings. Also, six segmented markets based on consumer knowledge and consumer demand for design development were significantly different in terms of age, income, purchase frequency, purchase objective, purchase place and total item holdings. Compared to the segmented markets based on the consumer demands for product development, the gender was the key of the marketing strategies for the segmented markets by the consumer demand for function development while the age was the one in the markets by the consumer demand for design development. After considering all the results, the characteristics of the segmented markets were made out and the marketing strategies were established.

• Agribusiness and Information Management
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• v.1 no.1
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• pp.109-117
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• 2009

• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.172-178
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• 2010

The purpose of this study was to explore relationships among technology development strategy, marketing competence, knowledge management competence, and company performance of textile and clothing companies. Survey data collected from 187 employees in the textile and clothing companies were analyzed by descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis. In results, certain levels of correlations were found among technological development strategy, marketing competence, knowledge management competence, and company performance. Specifically, technological gap which was one of the technology development strategy factors was a variable significantly affecting innovation performance and financial performance of textile and clothing companies. Knowledge management competence affected innovation performance whereas marketing competence affected financial competence of textile and clothing companies.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.95-115
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• 2019

In recent years, social media that has emerged with the development of network technology has changed the channels of information dissemination. The social Q&A community is a platform for knowledge-sharing activities in a question-and-answer manner based on Web 2.0. In knowledge-sharing activities, valuable new knowledge continues to be produced and will surely bring great benefits to individuals or businesses. In the social Q&A community, the user's subjective factors play a crucial role in influencing the user's continued use and participation in knowledge-sharing activities. In order for users to actively participate in knowledge-sharing activities in the community, it needs to grasp their subjective ideas. This study explores the issue of sharing knowledge by users of the social Q&A community "Zhihu", or how to drive community revitalization efforts from these. The three factors self-efficacy, self-development motivation, and social comparison tendencies were derived, and identify their relationship with knowledge-sharing activities and community-boosting efforts through empirical analysis. In addition, the influence of knowledge acquisition on knowledge provision was investigated through sense of reciprocity. Implications of the study findings and the future research directions were also discussed.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.191-208
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• 2018

This study explores the role of knowledge sharing activities among team members and performance in R&D setting. Knowledge sharing activities are classified into two : Knowledge sharing activity within/outside team. And the relationships between the knowledge activities and R&D performance are also examined according to three R&D stages : basic, applied, and developmental research. A empirical study was conducted at a research institute of large company that leads the advanced research and development of the domestic chemical industry. Data was collected 292 copies out of 500 copies (Response rate 58.4%). The result indicated that knowledge sharing within and outside the team has a positive effect on R&D Performance. In particular, knowledge sharing within the team has a greater effect on R&D outcomes in basic research stage. Knowledge sharing outside the team has a greater effect on R&D outcomes in the development research stage. In the R&D organization, it is important that members of the team are well-connected and understanding each other, but they should encourage positive relationships with external members of the team. Depending on the R&D field of the team, the basic research field should concentrate more on knowledge sharing within the team, while the development research field should focus more on knowledge sharing outside the team.

• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.15-27
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• 2006

Most countries recognize traditional knowledge as an economical resource in recent years, and so are actively participating in WIPO discussions for making sure of their intellectual property rights. In this study, the definition of traditional knowledge was discussed for making clear its categories and relative subjects. A tool for Korean Traditional Knowledge Resource Classification(KTKRC) was developed for putting the data of the resources in order, and was indispensable for searching for and examining cultural artifacts within the system of international intellectual property rights. KTKRC covers comprehensively our various traditional knowledge resources and has a similar structure to IPC for international searching, examining, and information exchange. KTKRC consists of a section of traditional knowledge(A), and three subsections: production technology(A0), living technology(A2) and creative technology(A4). The subsections include 8 classes, 28 subclasses, 105 groups, and a great number of subgroups.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.633-634
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• 2006

Recently we started a development of the digital meister expert system for the product design supporting in manufacturing industry. Knowledge representation is of major importance in digital moister expert system. This rule-based expert system-knowledges are designed for a certain type of knowledge representation such as rules or logic. The way in which a rule-based expert system represents knowledge affects the development, efficiency, speed, and maintenance. Eventually, this digital moister system is used to the engineer in manufacturing industry for the process control, production management and system management. In this paper, we propose the digital moister system knowledge representation method for product design supporting in manufacturing industry and we present introduction and contents of rule-based knowledge representation supporting tool.