• The Research Journal of the Costume Culture
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• v.17 no.5
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• pp.878-885
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• 2009

The Y generation born between 1981 and 1995 is the largest consumer group in the United States. This study is to provide an insight of understanding Y generation's decision factors of purchasing Jeans and the fit issues. This study investigated their purchasing decisions factors, including fit, cost, brand, color, and the media/internet influences. It is revealed that the Y generation might have access to the internet, but they still rely more on their peers and savvy skills to decide what they purchase. They preferred to shop from the land based retail stores rather than the internet. The fit was the most important factor of their purchasing decision, but less concerns of the brand. In this study, 87% of them chose "fit" as the reason to buy a pair of jeans. Fit problems were related to the price category. This study suggests apparel manufacturers should understand Y generation's fit issues in the global market.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.1
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• pp.170-183
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• 2017

The rapid growth of digital consumption has significantly changed the shopping behavior of consumers. The consumption paradigm is changing; subsequently, an omni-channel has been introduced that empowers consumers to interact with firms through a myriad of touch points in multiple channels. This study is to understand the perceptions and behavioral characteristics of consumers in the purchase process (e.g., information search and purchase phase). A qualitative method was adopted for this study and data were collected through semi-structured in-depth interviews with 15 omni-channel consumers. The results of this study were as follows. At the information search stage, consistency was the most important consideration for consumers who also wanted to retain channel-specific benefits. Consumers also searched for differentiated information among distribution channels. At the purchase stage, participants choose a shopping channel according to shopping values. They utilized newly introduced services (e.g., "online purchase, offline pick-up", FinTech) that combine retail channels. Our findings provide significance in managing omni-channel services. First, it is recommended that fashion retailers provide seamlessly integrated experience to consumer and adopt a consumer-centered channel choice strategy. Second, fashion retailers must maintain a constant attitude toward shopping experience to fashion, such as shopping enjoyment and exclusiveness.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.244-255
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• 2009

The purpose of this study was 1) to inquire into characteristics of apparel manufacturers and distributors in China, 2) to classify private Guanxi and organizational relationship type, 3) to find differences in private Guanxi to enterprise type and the class of participations' position, and 4) to also find effects of private Guanxi on organizational relationship. Apparel manufacturers and distributors in China participated in the study. Random sampling method was used to collect the data. Data from 173 questionnaires were used for the statistical analysis. Descriptive analysis, factor analysis, Cronbach's alpha coefficient, t-test, and regression analysis were conducted. Two factors of private Guanxi were classified(i.e., affective Guanxi, instrumental Guanxi). Three factors of organizational relationship type were identified(i.e., opportunistic relationship, cooperative relationship, vertical relationship). The results indicated that distributors regarded affective Guanxi as important more than manufactures and employees regarded affective Guanxi and instrumental Guanxi as important more than presidents. Distributors regarded cooperative relationship as important more than manufactures. Employees regarded organizational relationship as important more than presidents. Affective Guanxi positively affected on cooperative relationship and vertical relationship but negatively affected on opportunistic relationship. Instrumental Guanxi positively affected on opportunistic relationship and vertical relationship. The result of this study may give valuable information to retail merchandisers and strategists who participated in fashion business in China.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.2
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• pp.192-205
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• 2011

This study analyzed the registration of patent and utility models by fashion firms in Korea. A total of 2,291 registration cases of IPC A41B-H from the period of 1996 to 2009 were collected by KIPRIS of the Korean Intellectual Property Organization (KIPO). All cases were analyzed by year to review the longitudinal trend and 481 cases of IPC A41B (shirts, underwear, baby linen, and handkerchiefs) and 1088 cases of IPC A41D (outerwear, protective garments, and accessories) were analyzed by content (provided benefit type and developing method), by detailed product items and the characteristics of the applicant. The results of this study were as follows: 1) Registration of IPC 41 increased steeply by the year (especially since 2006) and the patent registrations increased more than those in the utility model. 2) Analyzing the application content of A41B on the basis of benefit showed that 75% were to provide new functions and the rest were for health. In terms of the developing method, 83% of benefit provided by the application were by design development, 11.2% were by material, and the rest was by process, In the cases of IPC A41D, 23.6% were for safety and protection. In terms of the developing method, the process and material development were more frequently adopted than in the cases of A41B. 3) The major product types of A41B were socks, underwear, and infant wear, whereas gloves and parts of clothing were major items in A41D. 4) In terms of the characteristics of the applicant, registration by firms was greater for patents than for utility models and registration by foreigners increased in 2006 due to the complete opening of the retail market. 5) Fifteen universities registered for a total 57 cases and major applications were for IT related clothing or high-tech protective items.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• Culinary science and hospitality research
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• v.21 no.5
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• pp.14-24
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• 2015

Fast food restaurants are one of the fastest growing industries in the world. Even though it is an emerging field, there are few studies about the relationship of fast food customer satisfaction about brand value and behavior intention. The current study examined which factor concerning brand value affects to customer satisfaction in fast food restaurants and investigated how customer satisfaction affects the behavior intention. The subjects of this study are current undergraduate students in Busan, South Korea. A self-administrated questionnaire survey was distributed to 528 students who have been to fast-food restaurants in Busan, Korea and 493 questionnaires were used for data analysis. Research findings indicated that food quality, brand image, brand awareness, and brand association through multiple linear regression were significant factors for customer satisfaction. In addition, the result of a simple linear regression showed that customer satisfaction was positively related to behavior intention. This study can provide valuable information and offer specific ways for fast food managers to increase customer satisfaction and behavior intention.