• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2293-2295
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• 1998

In this paper, an improved on-line neural network model is suggested. This neural network is designed to store and recall sequence of key strokes in on-line. The network stores incoming patterns as weight connections between series of layers. The layer has a 2-dimensionally distributed neurons where the location of neurons are relevant to the actual location of computer keyboard. To store longer patterns, the network has circulating layer connections and different patterns can be superposed on the same layer. Also, when the patterns are stored over the layers, the starting layer is not fixed but changed by the characteristics of Patterns to increases network capability. The ways how to choose the starting layer during the store and recall process are investigated.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.294-306
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• 2015

This study investigated how the travel motivation of Korean overseas tourists influenced shopping behavior. We first identified factors of the travel motivation and then categorized types and attributes of shopping products and shopping stores. We then examined the relationship between the travel motivation and shopping products and shopping channels. A questionnaire method was applied for this survey, while factor analysis and regression analysis were used to analyze data. The results are listed below. First, nature & leisure, rest, family, pleasure, hobby & fitness, and discovery were identified as 6 factors of travel motivation. Second, shopping products of overseas tourists were categorized into three types: fashion & luxury, daily goods, and memento. There were four attributes of products, namely, design, utility, economy, and prestige. Major types of shopping stores were souvenir shops, fashion channels and local markets; the shopping store attributes identified were location & salesperson, assortment & atmosphere, and display. Third, overseas tourists' motivation was shown to influence the selection of product types and attributes. Those who traveled for rest, family, pleasure, hobby & fitness orientation were inclined to purchase fashion & luxury goods, and daily goods; however, those who traveled for rest and hobby & fitness orientation also tended to buy memento. The effect of the travel motivation was shown to be different according to product attributes. Fourth, tourists' motivation was shown to affect store type selection and attributes. Those whose traveled for rest, family, pleasure, hobby & fitness preferred souvenir shops while those seeking nature & leisure and pleasure tended to visit fashion channels and local markets more often. Travelers seeking nature & leisure and discovery cared for all three store attributes while family oriented and pleasure seeking tourists considered shopping store location, salesperson and display attributes as important.

• The Research Journal of the Costume Culture
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• v.22 no.1
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• pp.143-157
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• 2014

The aims of this study were to identify the dimensions of both store and PB apparel product attributes at large discount stores, and to empirically examine the effects of each dimension of store and PB apparel product attributes on satisfaction with PB apparel products and on repurchase intension. Questionnaires were given to 264 large discount store customers, who have experienced buying PB apparel products at large discount stores. The results were as follows. First, purchased PB items and image, improvement of PB apparel products showed differences by gender. Second, the dimensions for store attributes were categorized as convenient of shopping environment, product quality, customer service, advertising reach, convenient location, and reasonable prices. The PB apparel product attributes were categorized as material handling management, quality, fashion ability, and brand power. Third, generally, both store and PB apparel product attributes at large discount stores are significantly related to PB apparel satisfaction and repurchase intention. PB satisfaction and repurchase intention of males were partly affected by store attributes and PB apparel product attributes. PB satisfaction and repurchasing intention of females, however, were partly affected by only PB apparel product attributes, not store attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1366-1377
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• 2006

The purposes of this study was to find out 1) the difference in the importance degree of store attribute according to interaction between fashion product types and task situations, 2) the difference in the importance degree of store attribute according to the patronized store types on the basis of fashion product types. The subjects were female adults who lived in Seoul. The sampling method was quota sampling. The data was obtained from 391 questionnaires. The data were analyzed using frequency, one-way ANOVA, Duncan test, and two-way ANOVA by means of SPSS. The results were as follows; 1. According to fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 2. According to interaction between fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 3. There were significant differences in factors of product features, services, physical environments of the store, and location of store according to patronized store types, when a consumer purchased a suit, casual wear and inner wear.

• Korean Journal of Human Ecology
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• v.23 no.2
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• pp.343-355
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• 2014

This study explores the characteristics of fashion flagship stores from the consumer's viewpoint, examines the differences by brand type in the flagship store characteristics, store experience, in-store emotion, and the post-visit brand response, and compares those of the flagship store with other stores of the brand. Flagship stores of the four brand types including luxury, SPA, retail, and national brands were selected for the online survey. Data from 537 respondents who visited and selected one of those stores were analyzed. Five factors including facility/service, scale/product lines, brand identity, location, and publicity were extracted from the characteristics of flagship store. There were differences in the perceived flagship store characteristics by brand type; The luxury and retail brands were more highly perceived in facility/service comparing to the SPA brand. Store experience and brand response were also different by brand type; Perceptions of the luxury brand were also higher than of the SPA brand. Overall, consumer responses to the luxury brand were higher than to the SPA brand. Consumer responses to the flagship store were higher than to other stores of the same brand. The study discusses further implications.

• Journal of Fashion Business
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• v.11 no.1
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• pp.97-107
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• 2007

The purpose of this study was to examine the relationship structure in discount store focusing on age. Subjects for this study were 360 customers who had purchased fashion products in discount stores. For date analysis, $x^2$-test and regression analysis were used. As the result, when comparing groups by the age, women in their 20s, 30s and 40s had 'relationship maintenance intention' through satisfaction, trust and commitment. In the case of women in their 20s group, the information, reputation, product salesperson and price variables had the effects on satisfaction. The information, location, salesperson variable had direct effect on relationship maintenance. In the case of women in their 30s group, the benefits, information, reputation and price variables had the effects on satisfaction. And the information, salesperson variable had direct effect on relationship maintenance. In the case of women in their 40s group, the information, location and price variables had the effects on satisfaction. The reputation variable had direct effect on relationship maintenance. Based on these results, fashion marketing strategies of discount store would be suggested.

• The Research Journal of the Costume Culture
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• v.27 no.1
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• pp.33-45
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• 2019

This study identified types of online retail internationalization in the fast-fashion context and proposed driving factors of retailers' choices in online-based market entry following the logic of the Uppsala model and the eclectic theory. In particular, this study proposes three types of online-based internationalization: 1) entering a host market with a physical store first, and then expanding with an online store, 2) entering a foreign market with an online store, then expanding to physical stores, and 3) entering only with an online business. In addition, this study investigated the causal factors, ownership-specific and location advantages, that influence the choice of the type of developmental process of online-based internationalization. To develop theoretical and managerial insights into the issue researched, this study employed a qualitative research design involving case studies of three European fast-fashion retailers, H&M, TOPSHOP, and ASOS. This study suggested that fast-fashion retailers that enter a host market with high ownership-specific advantages are likely to choose to enter the market with physical stores and then expand with online stores. On the other hand, when faced with uncertainties attributable to low ownership-specific or location advantages, fast-fashion retailers are likely to choose to enter with an online store first and then expand with physical stores as conditions change. Consequently, this study provides a better understanding for fast-fashion retailers who are willing to expand their businesses to foreign markets via online stores.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.22-24
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• 2021

This paper is a proposal for edge weight prediction using neural networks to graph configurations of nodes and edges. Brand is one of the components of society. and one of the brand's most important strategies is geographical location strategy. This paper is focus on that strategy. In This paper propose two things: 1) Graph Configuration. node consists of brand store, edge consists of store-to-store relationships and edge weight consists of actual walk and drive distance values. 2) numbering edges and training neural networks to predict next store distance values. It is expected to be useful in analyzing successful brand geographical location strategies.

• Journal of the Korean Geographical Society
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• v.45 no.5
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• pp.609-627
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• 2010

Finding the ideal location for your business is one of the most critical and important steps you will have to undertake. Otherwise, done in the wrong way you will only end up paying an expensive cost for an unsuitable location. Therefore to select the perfect location for your business, this study makes a reasonable and simple model for retail shops by calculating occupation population for each store applying Huffs "Probability Theory" to Hypermarket in Seoul. Then this study, based on occupation population, has divided every unit section (dong scale) into 4 market types which represent the state of the competitive markets, including monopoly, oligopoly, competitive, and noncompetitive markets. Consequently, the most reasonable place to locate a new store is where it can take most of the customers, that is, a place which can take non-competitive market as much as possible and is distant far enough from competitive market where competition is severe.

• Journal of KIISE:Databases
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• v.33 no.1
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• pp.1-11
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• 2006

It is possible to track the moving vehicle as well as to develop the location based services actively according to the progress of wireless telecommunication and GPS, to the spread of network, and to the miniaturization of cellular phone. To provide these location based services, it is necessary for an index technique to store and search too much moving object data rapidly. However the existing indices require a lot of costs to insert the data because they store every position data into the index directly. To solve this problem in this paper, we propose a buffer node operation and design a GU-tree(Group Update tree). The proposed buffer node method reduces the input cost effectively since the operation stores the moving object location data in a group, the buffer node as the unit of a non-leaf node. hnd then we confirm the effect of the buffer node operation which reduces the insert cost and increase the search performance in a time slice query from the experiment to compare the operation with some existing indices. The proposed tufter node operation would be useful in the environment to update locations frequently such as a transportation vehicle management and a tour-guide system.