• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.11
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• pp.1554-1564
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• 2007

In apparel industry, the production of clothing for the global market, has it#s origin in its characteristics depending on hands on working style, according to the globalization of a fashion industry. These days, however, the globalized production is unable to keep pace with the short cycle of production due to the unpredictable change of the taste or demands in the local area, as a result, the industry has come to take a focus on the production and consumption in the circumscribed region. In this stream, the northeastern area, specially, Dalian which is renowned for a center of fashion was designated as a city of this study as a representative. The cultural, racial and geographical uniqueness, asks for the analysis, based on the individual local area on the part of Korean fashion company desiring to launch into China fashion market. The purpose of this thesis is to analyse the style, color, and items of street fashion in Dalian. I would contribute to the understanding the preference of fashion in northeastern area, thereby, affording a fundamental resources for designing strategies for Korean fashion brands in China. The period of investigation is about 5 weeks from 14 May 2006 until 18 June 2006, with combined use of camcorder and digital camera. The site was Victory Shopping Plaza, in center of city, also with Mycal, Ansung, Dasang department store situated in the Economic Development area. The result of this study are as follows: 1. Preferred clothing styles are casual styles(68%) rather than formal styles(32%). In the casual styles, sports casual(36.0%), character casual(29.5%), jean casual(2.6%) were listed. All kinds of clothes are tightly fitted due to the stretched fabric and knit fabric. 2. Preferred colors are white(31.1%), red(16.6%), black(15.8%) khaki(7.8%) and blue(7.6%) for tops, and black(34.6%), blue(27.2%), white(15.4%), brown(14.6%) for bottoms. 3. Preferred clothing items are T-shirt(36.5%), jumper(33.6%), jacket(20.0%), blouse(8.7%), etc.(1.2%) for tops, pants(91.4%), skirts(8.6%) for bottoms. In the pants, cigarette pants(34.6%), bell bottom pants(21.0%), cargo pants(19.9%), straight pants(15.9%) were listed respectively. In the skirts, flare skirt(3.9%), tight skirt(2.2%), semi tight skirt(1.7%), pleats skirt(0.8%) were listed.

• The International Journal of Costume Culture
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• v.4 no.1
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• pp.25-33
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• 2001

This study is to analyze Korean-Chinese women's Costume in Yabian with factors such as reform opening-up, economic growth, change of social values, development of technology, more education opportunities and influence of mass media. It divides the 1990's into two halves. Photos, interview, observation and relevant literature were used for this study. Even though economy grew rapidly, they needed to purchase daily goods other than clothes. In a way that they preferred practicality, it showed somewhat it was still developing. The trend in the first half of the 1990's was characterized : first, Synthetic or artificial fibers and ready-made suits were popular ; second, there still remained the men's style ; third, they wore Tanrikoo(彈力袴), Tisingkoo(體型袴), Jiaotakoo(脚袴) because of its properties of activeness and comfort ; fourth, shoulders looked ore prominent with pads as they were used in Chungsanfoo(中山服) ; fifth, clothes in grey and dark blue was in fashion ; sixth, they wore hand-made knit vests and sweaters and often mountain-climbing gears for its light and warm quality ; seventh, along with opening-up, various materials and colorful clothes were in style, which satisfied women's desire for beauty. They decorated Hanbok(韓服), using sleeves with colors, golden ornaments, flower patterns embroidery, materials of different color in collar and tie and dyes of sleeves and skirts. In the first half of the 1990's when the opening-up was beginning, there were diverse styles and colors in fashion, yet not close to good quality. As the economy grew, the second half of the 1990's was characterized by good palate, individuality, favouritism on foreign goods, rapid change of fashion. For instance, fur coat and woolen fabric were favored. Economic growth led to abundance of cloth, dyes and decorative materials. In addition, people possessed more clothing and it was possible for them to wear both Hanbok and wedding dress in wedding ceremony. People placed their standards on competency and financial ability rather than ideology. Worship disappeared and individuality arose. Therefore, apparel functioned not only as protection but as suits with aesthetic purpose. This resulted in introduction of bold style, imitation of western countries and extension of use of Hanbok. With the help of mass media, transportation, telecommunication, contact with Korean company and civilians, Korean and western cultures, through Korea, were accepted. Change in structure of economic status caused excessive spending and more educational opportunities that enabled people to accept foreign culture quickly. Values moved onto new, beautiful and better characteristics. it was possible to have suits ready-made due to improvement of mass production and cotten, wool, linen, silk became popular owing to technology. New technology, the bases of mass consumption, increased possession of clothing and accelerated change of fashion. In summary, women's Costume in Yanbian were affected by the factors in economy, politics, culture contact as well as change of society and technology.

• 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.