• Knowledge Management Research
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• v.6 no.1
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• pp.33-69
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• 2005

Recently, knowledge management and E-business are very important issues in academic and business fields. Research questions related with these issues are which factors stimulate knowledge management. Another question is whether knowledge management is related to E-business. To answer these questions a research model was proposed. The data were collected from 90 manufacturing firms in Korea. Appropriate research methodologies were employed for analysis. Results found that the degree of firm's internalization, diversity of domestic management activities and learning orientation affect knowledge aquisition and transfer. Knowledge aquisition and transfer facilitate knowledge application, resulting in new product development, cost reduction and technology differentiation. Knowledge management is a kind of process. This result, therefore, confirms what previous literature predicted.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1598-1605
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• 2021

Recently, convolutional neural networks (CNNs) have been widely used with excellent performance in various computer vision fields, including super-resolution (SR). However, CNN is computationally intensive and requires a lot of memory, making it difficult to apply to limited hardware resources such as mobile or Internet of Things devices. To solve these limitations, network lightening studies have been actively conducted to reduce the depth or size of pre-trained deep CNN models while maintaining their performance as much as possible. This paper aims to lighten the SR CNN model, SRGAN, using the knowledge distillation among network lightening technologies; thus, it proposes four techniques with different methods of transferring the knowledge of the teacher network to the student network and presents experiments to compare and analyze the performance of each technique. In our experimental results, it was confirmed through quantitative and qualitative evaluation indicators that student networks with knowledge transfer performed better than those without knowledge transfer, and among the four knowledge transfer techniques, the technique of conducting adversarial learning after transferring knowledge from the teacher generator to the student generator showed the best performance.

• 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.

• Management & Information Systems Review
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• v.32 no.2
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• pp.259-287
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• 2013

This study is to comparate on impact factors and moderator of incentives of knowledge transfer between Nonprofit and Profit organization. In nonprofit organization, the results founded that individual information capability, quality of knowledge, and quality of construct were statistically significant in knowledge acquisition, informal communication and quality of construct were statistically significant knowledge sharing, and individual information capability, informal communication, quality of knowledge and quality of construct were statistically significant knowledge use. Also interactive effect of knowledge sharing and Psychological Physical incentive was statistically significant knowledge use. In profit organization, the results founded that individual information capability, informal communication, quality of knowledge, and quality of construct were statistically significant in knowledge acquisition, quality of knowledge and quality of construct were statistically significant knowledge sharing, and individual information capability, informal communication, and formal communication were statistically significant knowledge use. Also interactive effect of knowledge acquisition and Psychological Physical incentive was statistically significant knowledge use.

• Journal of Information Management
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• v.32 no.3_4
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• pp.123-145
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• 2001

The purpose of this study is to develop technology valuation system for technology transfer, which is using and supporting knowledge information. The valuation system comprises estimation of latent business profit by supporting formatted patent and technology-products market information, analysis of contribution profit by using industrial standard and innovation step and value of technology by using a real option equation. This study suggests a successful system in order to valuate the technologies quantitatively, and to use and support knowledge information from KISTI databases or other selected internet Information.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.237-243
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• 2012

This paper reviewed the relationship between information technology system and knowledge management activities, and the moderating effect of industrial type. The results of multiple regression analysis, based on the responses from 219 employees in manufacturing and financing service sector, showed that information technology infrastructure and information technology usage have positive effects on knowledge acquisition, knowledge transfer, and knowledge usage. In moderating effects, information technology infrastructure more positively related with knowledge acquisition in financing service sector than in manufacturing sector. And also information technology usage more positively related with knowledge transfer in financing service sector than in manufacturing sector.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.2
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• pp.89-114
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• 2010

This study empirically investigated the effects of the target costing system as well as information technology(IT) infrastructure on the knowledge management processes(i.e., socialization, externalization, combination and internalization) and the performance of a firm. This study also examined an impact of the social capital(i.e., inter-departmental communication, trust, cooperation and integration) on the adoption and development of the target costing and the IT infrastructure. The results of this study showed that inter-departmental communication, trust and integration have a significant positive impact on the adoption of the target costing. It was also found that the effects of inter-departmental communication and integration on the development of storage and transfer infrastructure are significant and positive. However, in the adoption of search infrastructure, only the impact of inter-departmental integration was significant. The results of regression analyses presented that the target costing has significant influence on the four processes of knowledge management. It was also observed that the effects of storage and transfer infrastructure on combination are significant and positive. In search infrastructure, the impact on combination and internalization was significant. According to the results of this study, it was found that when the adoption level of the target costing is high, search infrastructure mainly affects the three processes(i.e., socialization, combination and internalization). However, under a low adoption level of the target costing, the impact of storage and transfer infrastructure on the whole processes was significant and positive. Thus, it is assumed that storage and transfer infrastructure complements a low level of the target costing adoption through the active transfer and sharing of explicit and tacit knowledge.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.1-20
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• 2024

This research aims to study and confirm enabling factors affecting the knowledge transfer and business process of community enterprise groups in Pattani province, Thailand. Key informants were community enterprise entrepreneurs; 30 people were selected purposively with criteria. This study used a mixed-methods approach and conducted semi-structured interviews to collect data. Qualitative data were analyzed using content analysis and classification, while quantitative data were analyzed using descriptive statistics with frequency, percentage, mean, and standard deviation. Moreover, inferential statistics chi-square value, Phi Cramer's V, and multiple regression analysis with the R program for statistical computing were employed to analyze the relationship between the variables, test the research hypothesis, and create forecasting equations. The research results revealed that the overview of enabling factors had a very high relationship (Cramer's V=0.965). Regarding community enterprise, it was found that enabling factors related to the knowledge transfer and business process consisted of four factors: regulations and administrative guidelines, business plan, reinforcement, and brainstorming. Reinforcement was the factor with the highest degree of correlation (Cramer's V=0.873) and predictor of influence on the knowledge transfer and business process (R₂=0.670, p<0.05). This study's findings can lead to the developing of guidelines for promoting community enterprises properly and timely. These guidelines are expected to be used to develop knowledge about business models for community enterprises, which will help to improve their competency and competitiveness.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1146-1149
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• 1995

The CAD/CAM System for deep drawing transfer die in mechanical press proess has been developed. The developed CAD system can generate the drawing of drawing of transfer die in mechanical press. Using these results from CAD system, it can generate the NC data to machine die's elements on the CAD system. This system can reduce design man-hours and human errors. In order to construct the system, it is used to automate the design process using knowledge base system. The developed system is based on the knowledge base system which is involved a lot of expert's technology in the practice filed. Using AutoLISP language under the AutoCAD system, CTK customer language of SmartCAM is used as the overall CAD/CAM environment. Results of this system will be provide effective aids to the designer and mannufacturer in this field.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.819-832
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• 2022

Cross-domain recommender system transfers knowledge across different domains to improve the recommendation performance in a target domain that has a relatively sparse model. However, they suffer from the "negative transfer" in which transferred knowledge operates as noise. This paper proposes a novel Multiple Fusion-based Deep Cross-Domain Recommendation named MFDCR. We exploit Doc2Vec, one of the famous word embedding techniques, to fuse data user-wise and transfer knowledge across multi-domains. It alleviates the "negative transfer" problem. Additionally, we introduce a simple multi-layer perception to learn the user-item interactions and predict the possibility of preferring items by users. Extensive experiments with three domain datasets from one of the most famous services Amazon demonstrate that MFDCR outperforms recent single and cross-domain recommendation algorithms. Furthermore, experimental results show that MFDCR can address the problem of "negative transfer" and improve recommendation performance for multiple domains simultaneously. In addition, we show that our approach is efficient in extending toward more domains.