• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.203-220
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• 2016

This research analyzed characteristic changes in trading areas and the success factors of popular fashion trading areas (Garosu-gil, Dongdaemun, and Itaewon). This research adopts a social network analysis method to semantically analyze trading areas. Articles on the three fashion trading areas were located through KrKwic software to extract keywords and calculate word frequency. Keywords with high frequency were placed through NodeXL software to identify relationships among keywords. Researchers created a network of relationships among trading areas and between past and present of trading areas to analyze and visualize. In the past (2008-2009), the trading areas of Dongdaemun, Garosu-gil and Itaewon were placed horizontally with a limited number of shared keywords between them. However, the three trading areas retain diverse rage of keywords and an organic realtionships five years later (2013-2014). Compared to the past, all three areas see the emergence of relevant fashion keywords such as 'designer', 'design', 'brand'. Additional cultural keywords such as 'culture/art/performance', 'exhibition', and 'event' have commonly appeared and imply that related industries are an important factor as well. Fashion companies that consider evaluating areas for a new store opening need to understand the trading area characteristics and select the most suitable area. In addition, it is necessary to equip the trading area with basic fashion elements as well as relavant industry when the government tries to develop fashion trading areas.

• Journal of Fashion Business
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• v.10 no.1
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• pp.148-163
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• 2006

The purpose of this study is to examine differences in university students' spatial behavior and time for purchasing weekdays or weekends according to trading areas they use to purchase casual wears. Theoretical background examined trading areas, in Busan, consumers' spatial behavior. An empirical research developed a questionnaire as a measuring tool to conduct a preliminary survey and a main survey. Data collection was implemented with 507 students from four universities in Busan; and for data analysis, descriptive statistics, cross-tabulation analysis, correspondence analysis, and McNemar test were carried out by using the SPSS for Windows 12.0K program. This study obtained the main results as follows: The characteristics of university students' spatial behavior according to trading areas show significant difference in reasons of trading area selection, time slots for visiting. University students who visited the Seomyeon trading area were found to consider comparison-based purchasing and prominence of the trading area, regardless of the time for purchasing weekdays or weekends. As for trading areas around Busan National University, visits were mainly due to accessibility. Students visited trading areas in Nampo-Gwangbok-dong regardless of the time for purchasing in diverse reasons of trading area selection, time slots. As for trading areas around Kyungsung University, students were visited due to accessibility.

• Fashion & Textile Research Journal
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• v.14 no.6
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• pp.928-940
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• 2012

The present study aimed to propose the competitive strategy to fashion brand franchise stores by analyzing articles regarding success stores as published in fashion magazines. A total of 91 articles were selected from three fashion magazines and content analysis was applied to extract major factors. Four types of trading areas and eight product types were compared by the major factors. As results, six major factors composing competitive strategy were analyzed such as personal selling, management of sales forces, promotion, customer relationship management, management of store space, and relationship with headquarter. Comparing competitive factors by the types of trading area, management of sales forces and personal selling were crucial for central district and for outlets/interchange district. On the other hand, personal selling and customer relationship management were important for local district while management of store space and personal selling were critical for tenants of the large discount store/shopping mall area. Comparing by product types, personal selling was the most important factor for all product types except young casualwear whereas the second important one was management of sales forces for adult casualwear, womenbbbs wear, and others. For menbbbs wear, sales promotion was the second important one whereas management of store space was the second crucial one for underwear and childrenbbbs clothing. Based on the present study result, it is proposed that competitive strategy of individual fashion brand franchise store should be differently developed because the characteristics of trading area and product type are different and in turn, customers benefit and competition might be different.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.183-193
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• 2006

The purpose of this study is to examine differences in college students' spatial behavior and time for purchasing (weekdays or weekends) according to trading areas they use to purchase casual wears and formal wears. An empirical research developed a questionnaire as a measuring tool to conduct a main survey. McNemar test were carried out by using the SPSS to test statistical differences in spatial buying behaviors between weekdays and weekends. ArcGIS 9.1 and ArcView GIS 3.2a program were applied to visualize the results adopting a spider display technique to understand students clothing buying behaviors. This study obtained the result of that there were differences in college students' selecting a trading area according to the time for purchasing(weekdays or weekends) clothing wears. This study implies that understanding individual clothing spatial behaviors help to set up the strategy of trade area as well as store for marketers related to the fashion industry.