• Journal of Korea Society of Industrial Information Systems
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• v.5 no.1
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• pp.69-76
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• 2000

This thesis implements retrieving systems with easy to retrieve photos which end-user want to find based m end-user computing(EUC)'s a theoretical study on factors in exert a effect on the computing systems. And also this systems allow a photographer to store his works in the database of this systems by himself on internet environment. This sock photo systems is developed with object oriented design methodology so it is easy to modify and to reuse software. And this systems can use for electronic commerce by adding the electronic payment systems.

• The International Journal of Costume Culture
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• v.9 no.2
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• pp.113-124
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• 2006

The purposes of this study were to investigate the perceived risks and the purchase behaviors for luxury goods in internet shopping malls according to the shopping orientation. 254 questionnaires were distributed from April 10 to May 9 in 2006. For data analysis, frequency, percentage, factor analysis, cluster analysis, chi-square tests were conducted. The results could be summarized as follows. (1) According to cluster analysis of shopping orientation, respondents were classified into five groups: pursuit of pleasure, pursuit of fashion, price consciousness, planned shopping, brand and store loyalty, time-saving and convenience. (2) There were not significant differences in the perceived risks according to shopping orientation. (3) There were not significant differences in purchase reasons and were significant differences in no-purchase reasons.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.157-165
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• 2015

With the ever-improving performance of smartphone cameras and the universal dissemination of cloud services, users can now record and store the events in their daily lives more easily and conveniently. The advent of lifelogging technology has been changing the uses as well as the paradigm of internet services, and emphasizing the importance of services being personalization. As the amount of lifelog data becomes vast, it requires an efficient way to manage and store such vast information. In this paper, we propose an low power lifelog management scheme based on user movement behaviors in wireless networks. In order to reduce the power consumption of a smartphone, in our proposal, frequency of data collection and transfer can be dynamically adjusted based on a user's movement pattern. The analytical results show that our approach achieves better performance than that of the existing lifelog management scheme.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.38-46
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• 2004

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.1-12
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• 2004

In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

• Korean Management Science Review
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• v.17 no.3
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• pp.49-60
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• 2000

The proliferation of electronic commerce(EC) has led manufactureres to consider Internet based marketing as a salient candidate for strategic diversification of marketing channel. In this case, each manufacturer can build its own Web store or rent an existing special EC store. Such decision making of ‘build’ or ‘rent’ can be analyzed by a game model which derives the Nash solutions for price and profit considering degree of competition with other competitive manufacturers. In this paper, to overcome the drawbacks of the traditional linear demand function, we first propose a new linear demand function which incorporates not only the price difference between competitive products but the awareness of Web stores perceived by the consumers, then design the game models to analyze the characteristics of three typical types of marketing channel in duopoly market. Based on the Nash solutions of the game models, we analyzed the effect of the degree of competition and Web awareness in selecting the optimal marketing channel.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.110-124
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• 2006

There have been various papers about service quality. This article is one of them. This is about the measurement of service quality in the competitive structure between department and discount store. In this paper, we tried to measure the service quality and overall satisfaction by using 6 sigma, degree of combination and top2box which is a little bit different methodology from traditional ones. The data were collected by the internet survey from 1428 and 1605 department and discount store customers respectively. The result shows the different patterns in the each retail industry. Also, there is a significant difference in terms of sigma level in the each retail industry. Finally, we showed the summarized result as the 6 Sigma Portfolio Matrix.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.690-700
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• 2004

The purposes of this research were to segment consumer groups according to sportswear benefits sought and to find the differences among the groups in regard to domestic vs imported brand attitudes, internet vs department store attitudes, and sportswear purchasing behavior. The subjects used for the research were 773 male and female consumers who were residents in Seoul. The data were analyzed by factor analysis, cluster analysis, ANOVA, and Duncan test. The results showed that there were four sportswear benefit segments: figure compensation/ ostentation, individuality, comfort/function, and youth-oriented groups. Statistical analyses showed that the four sportswear benefit segments were different in regard to imported brand attitudes, department store attitudes, and sportswear purchasing behavior. For example, figure compensation/ ostentation segment had more positive attitude toward imported brands and department stores, considered design and advertisement important as sportswear selection criteria, and had a highest expenditure on sportswear purchase. The implications of the research were discussed.

• Journal of Information Technology Applications and Management
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• v.16 no.3
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• pp.17-28
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• 2009

This paper presents a novel method for evaluating the usefulness of online product recommendation. Previous studies on evaluating recommendation systems have mostly relied on two methods : testing the accuracy of estimating user preferences by recommendation systems, or empirically testing the effectiveness with lab experiments involving human participants. The former does not measure the usefulness directly and hence can be misleading; the latter is expensive in that it requires a working online store System and test participants. In order to address the problems, the proposed approach uses simulation to imitate customer behavior and evaluate the usefulness of recommendation. Models for user behavior and an abstract Internet store are developed for simulation. Actual simulation experiments are performed to illustrate the use of the approach.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.312-319
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• 2002

A recommendation system tracks past action of a group of users to make a recommendation to individual members of the group. The computer-mediated marking and commerce have grown rapidly nowadays so the concerns about various recommendation procedure are increasing. We introduce a recommendation methodology by which Korean department store suggests products and services to their customers. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is to select target customers, who have high purchase possibility of recommended products. Product taxonomy and association rule mining are used to select proper products. The validity of our recommendation methodology is discussed with the analysis of a real Korean department store.