• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.203-206
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• 1996

Prediction of firm bankruptcy have been extensively studied in accounting, as all stockholders in a firm have a vested interest in monitoring its financial performance. The objective of this paper is to develop the hybrid models for bankruptcy prediction. The proposed hybrid models are two phase. Phase one are (a) DA-assisted neural network, (b) Logit-assisted neural network, and (c) Genetic-assisted neural network. And, phase two are (a) DA-assisted Case based reasoning, and (b) Genetic-assisted Case based reasoning. In the variables selection, We are focusing on three alternative methods - linear discriminant analysis, logit analysis and genetic algorithms - that can be used empirically select predictors for hybrid model in bankruptcy prediction. Empirical results using Korean medium-sized firms data show that hybrid models are very promising neural network models and case based reasoning for bankruptcy prediction in terms of predictive accuracy and adaptability.

• Management Science and Financial Engineering
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• v.12 no.2
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• pp.71-85
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• 2006

Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.393-407
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• 2010

The purpose of this study is to analysis relative efficiency and efficiency in process of time. Thus we use panel data of 34 local public medical centers between 2003 and 2005 to use DEA and Malmquist analysis. The result of our this study is as flow; first, The results of static efficiency of 34 local public medical centers show 10 CCR model and 23 BCC model which is difference of efficiency by economic of scale. Second, a cause of increased efficiency is not only change of technology but also change of efficiency to management system index show between 2003 and 2005 by Malmquist analysis and contracting-out is higher than direct management between 2004 and 2005. That means efficiency of local public medical centers is their own effort and innovation not government subsidies.

• Journal of the Ergonomics Society of Korea
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• v.20 no.2
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• pp.1-28
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• 2001

This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.341-344
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• 2006

Most construction companies recognize the necessity of risk management. The practical application, however, is not easy because of the absence of systematic procedure for risk management and the difficulty in objectification of subjective risk factors. This study suggests a systematic procedure and a web-based analysis system. In the first place for those researches, this study analyzes the present condition of risk management in the railway facility construction industry. Finally, this study defines risk management procedures as preparation, identification, analysis, response and risk analysis method to manage potential risks in the railway construction project.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.160-165
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• 2004

In these days, the people living in the urban is suffer from the environmental noise because the number of car increase in the city, and a lot of new industrial complex is made in the urban every. But there is no suitable system for measurement and management of environmental noise. Therefore, in this research, a new system for the measurement, characteristic analysis and evaluation, management of environmental noise using Internet communication is developed. The system includes the environmental noise measurement equipment and the controller for the noise measurement, analysis and evaluation, management.

• Journal of Information Technology Services
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• v.8 no.3
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• pp.51-65
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• 2009

National qualification system for SW engineering is intended to be mechanisms to assure the competence of SW professionals. Qualification system for SW engineering can be categorized as national qualification, nationally certified private qualification, and private qualifications. In this paper, we present a summary report of needs analysis for new national qualification systems, based on the survey from human resource department managers of IT companies in IT service, package SW and embedded SW industry. The survey results show that SW qualification system is appropriate for evaluation and career management, but does not provide up-to-date information concerning the technology assessment and change. Based on the result form needs analysis, we suggest the SW specialist and embedded SW specialist as new licenses in national qualification system. In addition, we also propose SW quality management engineer, systems management engineer, IT Protect management engineer, network management engineer and SW architect engineer, as new nationally certified private qualifications.

• Journal of the Korea Safety Management & Science
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• v.25 no.1
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• pp.1-6
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• 2023

This study tried to analyze the keywords of the papers published in the Korea Safety Management Science by using the social network analysis. In order to extract the keywords, information on journal articles published from 2018 to 2021 was extracted from the SCIENCE ON. Among the keywords extracted from a total of 129 papers, the keywords with similar meanings were standardized. The keywords used in the same paper were visualized by connecting them through a network. Four centrality indicators of the social network analysis were used to analyze the effect of the keyword. Safety, Safety management, Apartment, Fire hose, SMEs, Virtual reality, Machine learning, Waterproof time, R&D capability, and Job crafting were selected as the keywords analyzed with high influence in the four centrality indicators.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.706-707
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• 2015

Our country is aiming at 30% reductions in building energy consumption accounting for 39% of the total energy consumption by 2020[1]. For this purpose, the government is developing and applying the Building Energy Management System (hereinafter, referred to as "BEMS", Smart plug, etc.) while the researches on new renewable energy development. BEMS, which is applied with focus on large buildings, is inducing energy management of the entire building through energy measurement and data management, but considering its economic efficiency, it's very difficult to apply BEMS to small & medium-size buildings. Hereupon, this study intends to implement the case analysis of deterioration and economic efficiency of major equipment in buildings on the basis of electricity consumption which has been measured targeting small & medium-size buildings for a certain period by taking into account that equipment deterioration is a contributor to the increase in energy consumption.