• Journal of Fashion Business
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• v.15 no.1
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• pp.103-114
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• 2011

This study is to provide basic information on clothing fitness necessary to develop apparel products for Korean companies that want to enter or have already made inroads into the Chinese market. In an effort to serve this purpose, a standard upper torso body model for Chinese women was established by applying the Rohrer Index and Size Designation of Clothes - Women of GB/T 1335.2-1997 to Chinese women in their 20s to determine body types and its characteristics. First, according to the result of applying the Rohrer Index to categorize body types, Type 1 showed the longest vertical body length and a short horizontal length with the lowest degree of flatness. Type 2 was a standard body type with a height of 158.73cm, weight of 53.02kg and the Rohrer Index of 1.32. Type 3 had a thick and flat body shape that had the highest degree of flatness and the shortest vertical length in its upper torso among all three types of body. Second, F-test was conducted on 4 distinctive body types obtained from comparing obesity scores to verify differences in body shapes for different degree of obesity. The test result indicated significant differences in 3 of the 4 body types and showed different structural components for different degree of obesity. Third, the result of comparing correlational distributions of body types and height range, and body types and degree of obesity for all and specified age groups revealed that about 33.30% of the body types appeared in Type2-A followed by 20.18% in Type1-A, 18.40% in Type2-Y and 7.91% in Type1-Y respectively. Body types and degree of obesity for two different age groups were most frequent in Type2-A. For the group of young women in their early 20s appeared the most in Type2-A, Type1-A, Type2-Y and Type 1-Y respectively and young women in late 20s were frequent in the order of Type2-A, Type2-Y, Type1-A and Type1-Y.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.117-141
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• 2006

Daily sales volume in retailers seems to be changed because of five-days-work in a week resulting in growth of leisure time in Korea recently. The day of the week effect of sales volume that can not be theoretically explained, which sales pattern varies depending on days systematically and consistently, is so important. Especially the day of the week effect of sales volume exists in which retail branch and the extents of the day of the week effect from the perspective of marketing in retailing is very important. Thus, the purpose of this study was to investigate whether the day of the week effect of sales volume exists in men's clothing retailers and if so, there is difference in daily sales volume. There was insufficient researches in the field of anomaly such as the day of the week effect of sales volume in marketing. For this reason, this study has drawn upon research findings of finance, general demand theory, and previous studies of the day of the week effect in stock markets. In doing so, these works are referenced in theoretical background and applicability in retailing market of this study. This study empirically investigated the day of the week effect of sales volume through the revenues of a men's clothing retailers (P company) in past five years. As the result of this study, the day of the week effect of sales volume existed in men's clothing retailers and the day of the week effect showed positive from Monday to Sunday, which means Sunday, the biggest. Also, the day of the week effect by season was different. The result of this study is expected to provide some helpful evidence that offers effective operational strategies to retailers.

• Journal of Communication Design
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• v.64
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• pp.64-75
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• 2018

Luxury fashion brands, which have dominated the market of high-priced apparel, bags and shoes, are recently showing changes of stepping into the cosmetics market. The purpose of this study is to examine how luxury fashion brand identity is transferred to cosmetic brand while expanding into luxury cosmetic brand, and to analyze the plastic signs of cosmetic package design and to analyze visual identity through a semi-symbolic system. Therefore, in this study, we tried to analyze the visual semiotic analysis of the package design such as the cushion compact, the lip tint and the brand logo which appeared in the popular product line of the fashion luxury brand such as Yves Saint Laurent and Armani. As a result of the analysis, this study has identified the semantic qualities expressed by each plastic element through the visual semiotic analysis process of the cosmetic package of Yves Saint Laurent and Giorgio Armani. These traits were found to be used as visual signs to reveal the 'Classicism' identity pursued by Yves Saint Laurent and the 'Baroque' identity pursued by Armani. Based on the results of this study, this study finds that the brand identity as a fashion brand is not transferring to the visual identity of cosmetic brands in the case of Yves Saint Laurent. On the other hand, this study found that Armani uses visual communication strategies to effectively transfer the brand identity as a fashion brand to the visual identity of cosmetic brands. On these two different results, it is necessary to examine whether luxury fashion brands and also Korean fashion brands are expanding into the cosmetics market and how they can better grasp the existing brand identity and apply it to the communication strategies of cosmetics brands.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.