• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.313-315
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• 2019

Although Korea's fashion market has negative growth, it has been growing again since 2018. This phenomenon means that people are becoming more interested in fashion. As interest in fashion grows, people visit various community sites for reference to find a suitable coordination for themselves. Most community sites, however, are manually categorizing each garment. Not only do these tasks take a lot of time, but they also make it difficult to search for multiple clothing at the same time. In other words, I can't choose what I want at the same time, and if I choose what I want, I have to look at what the model is wearing and refer to it. The problem with this may not help because the coordination in which the model provided is worn is more likely to be the one that the user does not want. In this paper, when the image is uploaded to improve the problem, the clothing is analyzed with AI analysis model and automatically classified and stored. Therefore, not only can you search for one clothes in the existing way, but you can also search for multiple clothes at the same time. The service is expected to allow more people to easily find and refer to the code for themselves.

• Journal of the Korean Society of Costume
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• v.64 no.8
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• pp.1-19
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• 2014

The purpose of this study is to do an in-depth examination of Korean women in their 30's on the characteristics of their online fashion shopping, clothes-wearing, and presentation. In-depth interview and quantitative analysis were conducted as study methods. Results of this in-depth analysis showed that the factor with the most significant influence in their lifestyle was "childbirth." Childbirth was a major factor during fashion shopping and clothes-wearing. Also the results showed that the reason they used online shopping was for convenience, efficiency, rationality, pursuit of information, variety, and hedonism. In particular, women in their 30's had a higher motivation for efficiency and rationality compared to those in their 20's, and of those women, married working women showed the highest preference for fashion soho malls. Meanwhile, full-time homemakers, who pursued rationality, used open markets to search for fashion items based on price. Furthermore, the factors that women in their 30's considered during online shopping were price, design, purpose or situation for wearing the clothing, respectively. Compared to the women in their 20's, they emphasized recommendation, product properties, credibility, economy more than women in their 20's. Factors such as marriage and childbirth were more influential than occupation. Meanwhile, the factors that women in their 30's considered for wearing and presentation were time, place, and occasion(TPO), which all showed high importance in in-depth interview and quantitative analysis. Other factors were 'suitable image to self' and 'covering up body figure.'

• Journal of the Korean Society of Costume
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• v.63 no.6
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• pp.40-55
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• 2013

The purpose of this study was to find ways to increase sales and enhance of the competitiveness of the Korean fashion brands expanding into the Chinese market by conducting a survey of the Chinese female students in order to gather data regarding their preferences and features so that clothes that are more suitable for Chinese women can be designed. For this study, a survey was conducted to 305 students attending universities or language schools located in the metropolitan areas near Seoul who had exposure to Korean clothes. The study results can be summed up as follows: According to the analysis, the Chinese students preferred comfortable, practical, and casual styles. And the analysis shows that they prefer achromatic monotonous colors rather than vivid colors or splendid and complex patterns. The students felt that Korean clothes reflected the trends very well, and they also showed very high satisfaction with the design. The most common way of gathering information for their clothing purchase was through Internet search and magazine advertisements. The survey showed that the biggest strength of the Korean fashion brands was their ability to reflect the fast changing fashion trends in their designs, and they were very much satisfied with their diverse designs and colors. Among the domestic fashion brands, they prefer domestic SPA brands such as MIXXO, SPAO, and 8IGHT SECONDS.

• Journal of Global Scholars of Marketing Science
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• v.20 no.1
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• pp.4-14
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• 2010

Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. This study addresses the specific types of collaboration used in the fashion industry while also examining strategies that have been most successful for fashion companies and perceived benefits of collaboration from the customer perspective. In the present study we define fashion companies and brands as collaborators and their partners or stakeholders as collaboratees. We define collaboration as a cooperative relationship where more than two companies, brands or individuals provide customers with beneficial outcomes utilizing their own competitive advantages on an equal basis. Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. Through collaboration, fashion companies have pursued both tangible differentiation, such as design and technology applications, and intangible differentiation such as emotional and psychological benefits to customers. As a result, collaboration within the fashion industry has become an important, value creating concept. This qualitative study utilized case studies and in-depth interview methodologies to examine customers' attitudes concerning collaboration in the fashion industry. A total of 173 collaboration cases were identified in Korean and international markets from 1998 through December 2008, focusing on fashion companies. Cases were collected from documented data including websites and industry data bases and top ranked portal search sites such as: Rankey.com; Naver, Daum, and Nate; and representative fashion information websites, Samsungdesignnet and Firstviewkorea. Cases were collected between November 2008 and February 2009. Cases were selected for the analysis where one or more partners were associated with the production of fashion products (excluding textile production), retail fashion products, or designer services. Additional collaboration case information was obtained from news articles, periodicals, internet portal sites and fashion information sites as conducted in prior studies (Jeong and Kim 2008; Park and Park 2004; Yoon 2005). In total, 173 cases were selected for analysis that clearly exhibited the benefits and outcomes of collaboration efforts and strategies between fashion companies and stakeholders. Findings show that the overall results show that for both partners (collaborator and collaboratee) participating in collaboration, that the major benefits are reduction of costs and risks by sharing resource such as design power, image, costs, technology and targets, and creation of synergy. Regarding types of collaboration outcomes, product/design was most important (55%), followed by promotion (21%), price (20%), and place (4%). This result shows that collaboration plays an important role in giving life to products and designs, particularly in the fashion industry which seeks for creative and newness. To be successful in collaboration efforts, results of the depth interviews in this study confirm that fashion companies should have a clear objective on why they are doing the collaboration. After setting the objective, they should select collaboratees that match their brand image and target market, make quality co-products that have definite concepts and differentiating factors, and also pay attention to increasing brand awareness. Based on depth interviews with customers, customer benefits were categorized into six factors: pursuit for individual character; pursuit for brand; pursuit for scarcity; pursuit for fashion; pursuit for economic efficiency; and pursuit for sociality. Customers also placed more importance on image, reputation, and trust of brands regarding the cases shown in the interviews. They also commented that strong branding should come first before other marketing strategies. However, success factors recognized by experts and customers in this study showed different results by subcategories. Thus, target customers and target market should be studied from various dimensions to develop appropriate strategies for successful collaboration.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.66-79
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• 2016

The availability of detailed data on customers' online behaviors and advances in big data analysis techniques enable us to predict consumer behaviors. In the past, researchers have built purchase prediction models by analyzing clickstream data; however, these clickstream-based prediction models have had several limitations. In this study, we propose a new method for purchase prediction that combines information theory with machine learning techniques. Clickstreams from 5,000 panel members and data on their purchases of electronics, fashion, and cosmetics products were analyzed. Clickstreams were summarized using the 'entropy' concept from information theory, while 'random forests' method was applied to build prediction models. The results show that prediction accuracy of this new method ranges from 0.56 to 0.83, which is a significant improvement over values for clickstream-based prediction models presented in the past. The results indicate further that consumers' information search behaviors differ significantly across product categories.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.13-25
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• 2011

This study investigates the factors influencing consumer's channel selection for luxury fashion items, specifically the effect of (i) perceived luxury benefits, (ii) perceived online shopping risks, (iii) demographics, and (iv) purchasing behavior. A survey questionnaire was developed and implemented to measure the perceived luxury benefits, perceived online shopping risks, purchasing behaviors, and consumer demographics. A total of 396 responses were analyzed by one-way ANOVA, cross-tab, and multinomial logit analysis with SPSS18.0. The results are as follows. First, those who shop in offline shopping channels tend to be heavy buyers that look for product quality and conspicuousness. They perceive low risks from online shopping and purchase few bag items offline. Second, those who shop online tend to be men and perceive the high benefits of economic value. Third, those who shop in multi channels tend to be men, search for information via the Internet, and purchase few accessory items. Implications for multichannel strategies are suggested.

• Journal of the Korean Society of Costume
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• v.60 no.8
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• pp.15-28
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• 2010

The purpose of this study was to investigate how gender role attitudes affect clothing involvement and clothing consumption behaviors in young female generation by changing the traditional sex role stereotype. For the research, the survey was conducted for a month from June 15 to July 15, 2009. Data was collected a total of 368 questionnaires from 20's female university students and analyzed 301 questionnaires with SPSS 12.0. The results were as follows. First, the results of factor analysis on gender role attitudes confirmed the multifactorial theory of gender schema: modern masculinity, conservative gender roles, modern feminity based on emotion, gender role openness, and traditional feminity. Second, gender role attitude of female university students was a little conservative but flexible to accommodate masculinity and active in the emotion expression. Third, gender role attitudes had important effects on clothing involvement which was identified into 4 different factors; fashion involvement, clothing interest, performance risk, and social psychological risk. Fourth, gender role attitudes were related with clothing consumption behaviors as like shopping orientation, on-going information search behavior and brand loyalty because of needs for innovation, exhibition and differentiation. Therefore, it was concluded that not only 'androgynous' from modern feminity based on emotion but also 'masculinity' was applied to important fashion marketing strategic tools by statically affecting female consumer's clothing involvement and clothing behaviors.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.13-26
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• 2003

This study was designed (1) to examine adolescents' body cathexis, ideal body image, clothing behavior, and clothing purchasing behavior, and (2) to identify gender and age differences. Descriptive statistics, Chi-Square ($\chi^2$) analysis, Analysis of Variance (ANOVA), and Duncan-Test were employed to analyze the data collected from the convenience sample of 729 middle- and high-school students in Gyeongnam, Korea. Adolescents tended to be dissatisfied with their body, while female high school students' dissatisfactory degrees were higher The ideal body image was thinner than normal, and neither gender nor age differences were observed. Adolescents showed higher dependences compared to other clothing behaviors including conformity, fashion, popularity, brand, and exhibition, and gender and age differences were observed. Fit/comfort and clothing displayed in store were most important evaluative criterion and information search method. Adolescents tended to prefer shopping in department store with friends or parents in less than 3 hours. Gender and age differences were observed in those clothing purchasing behavior. Marketing strategies generated from the results of this study were suggested.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.381-382
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• 2019

Recently, various search techniques using artificial intelligence techniques have been introduced. It is also possible to use the artificial intelligence to grasp customer propensity. Analyzing the clothes that customers usually wear, it is possible to analyze various colors such as favorite colors, patterns, and fashion styles. In this study, we use artificial intelligence technology to create an application that distinguish between adults and children by combining various factors such as shape, type, color and size of human clothes. Through this, it will be possible to utilize it in a living area where children can be protected in advance by grasping the intrusion of unauthorized adults in the living area where children live mainly. In addition, in the future, we can obtain good results to detect stranger adult person if we apply this experimental result to the detection system using clothing information.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.133-144
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• 2006

The contemporary period is called "the age of sensibility" in which each individual consumer seeks to have her or his own products. Businesses are in need of design developments with an emphasis on customer sensitivity, and at the same time consumers must understand their own sensitivity to acquire information on designs that suit them. This research established a sensitivity and configuration database on designing men's jackets using the sensitivity engineering approach to clothing design information. The user interface was created on the Internet. Sixty-seven sensitivity terms of vocabulary appropriate for the assessment of men's jacket design were selected, and the different designs were classified into six items and 24 categories. Thirty men's jackets with different designs were produced for sensory testing and the results were analyzed in accordance with general linear I statistics. A sensitivity database was established for each category. My-sql, PHP, Java Script, and Html were used for the configuration database work. The configuration of items/categories, with the most appropriate sensitivity database information assigned to the selected sensitivity vocabulary, was programmed for display on the computer screen. The sensitivity vocabulary of a customer's choice for each factor was selected for the program to run, while the category and product configuration of the men's jacket most suitable for the search was displayed based on the user interface.