• Korean Management Science Review
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• v.20 no.1
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• pp.165-178
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• 2003

This paper introduces the public-oriented e-Hub construction for strategic alliances in the B2B virtual community. The public-oriented e-Hub can link with all participating Internet firms on the basis of their business models, and consequently help them share their core competence, management resources, and so on. Based upon this perspective, this paper presents the procedures corresponding with social network analysis for strategic alliances of small and medium internet firms. In addition, this paper tries to analyze the relationships among degree of competition, potential of strategic alliance, and financial performance. The results show that the firms with more easily accepting various strategic alliances make higher financial performance under more competitive environment. This suggests that strategic alliances through the public-oriented e-Hub in the B2B virtual community provide the internet firms with various opportunities.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.1-11
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• 2015

The efficient safety estimation for a business should analyze an accident data by considering every possible and potential factor. Thus, we consider several factors to build the safety estimation model to meet fairness and rationality. This paper present the yearly statistic data of accident from KOSHA analyze the data by industry, scale, year of service of a employee, age and other factors; build the safety estimation model for the business based on the accident report derived the analysis. The estimation model is established by the weights for accident type, degree, scale, industry, year of service, and age of the employee derived from ANP(Analytic Network Process).

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.402-408
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• 2010

Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.66-74
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• 2002

Through the increment of requirement for EC(Electronic Commerce) oriented communication services, security multicast communications is becoming more important. However, multicast to EC environment is much different from unicast concept most network security protocols. On the network security, using mandatory access control of multilevel architecture which assigns a specific meaning to each subject, so we accomplish access control. In this way, access control security based on the information security level is proposed. A security protocol based on the architecture proposed in this paper would be utilized in security multicast communications, group key management service and leveled security service through multilevel EC security policy, Also we discuss and propose the security level scaleability and key management method on the network.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.

• Korea Journal of Hospital Management
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• v.20 no.3
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• pp.1-12
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• 2015

The objective of this study is to analyze the effects of brand authenticity on brand trust and the effect of brand trust on brand loyalty in case of network franchise dental clinics. To achieve this objective, 300 dental customers were surveyed in Seoul and Gyeonggi province. Of these, 267 respondents were used for the analysis. The research results show that communication authenticity, advertising truthfulness, employee authenticity had positive effect on brand trust. and brand trust have positive effect on brand loyalty.

• Journal of Communications and Networks
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• v.4 no.4
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• pp.282-291
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• 2002

3GPP (Third Generation Partnership Project) is defining UMTS (Universal Mobile Telecommunication System) releases which span the transition from GSM/UMTS coexistence to All-IP UMTS networks. The deployment of an UMTS network depends, in the first place, on the intended service offerings and the release an operator chooses to start service with. Other key decisions in-fluencing UMTS deployment relate to the timing of the functional enhancements and capacity increases along the economic life of the network. This paper gives an overview on the architectural and technical options for UMTS deployment. It also outlines the methodology underlying the business plan aimed at estimating the returns from investments in the UMTS infrastructure, thus helping to tune operators’ strategies for UMTS deployment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.734-741
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• 2002

The importance of efficient Supply Chain Management is increasing in accordance with recent industrial environment, such as globalization of business, complexity and diversity of company's management structure, and variety of customer's demand. In a rapidly changed environment of business, quick and efficient decision making is the important matter to the survival of the company. The purpose of this study supports decision making for efficient supply chain management. In this study, we consider simultaneously and mutually reflecting the preference of each constituent (Supplier, Manufacturing plant, Distribution center, Customer) on supply chain network, and decide company's strategic choice and coordinated production/distribution models of company. The Analytical Hierarchy Process is used for decision making of qualitative and quantitative elements. We use the results of AHP as inputs and propose mathematical models thru Mixed Integer Programming.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.105-127
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• 2003

In this paper, four different data mining techniques, two neural networks and two statistical modeling techniques, are compared in terms of prediction accuracy in the context of bankruptcy prediction. In business setting, how to accurately detect the condition of a firm has been an important event in the literature. In neural networks, Backpropagation (BP) network and the Kohonen self-organizing feature map, are selected and compared each other while in statistical modeling techniques, discriminant analysis and logistic regression are also performed to provide performance benchmarks for the neural network experiment. The findings suggest that the BP network is a better choice among the data mining tools compared. This paper also identified some distinctive characteristics of Kohonen self-organizing feature map.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.101-107
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• 2008

This paper considers a topological optimization of a computer network design with a reliability constraint. The objective is to find the topological layout of links, at minimal cost, under the constraint that the network reliability is more than a given reliability. To efficiently solve the problem, a scatter search approach is proposed. Two illustrative examples are used to explain and test the proposed approach. Experimental results show evidence that the proposed approach performs more efficiently for finding a good solution or near optimal solution in comparison with a genetic algorithm approach.