• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.523-534
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• 2005

This study was to examine the factor structure of pursuing benefit and satisfaction at casual and official wear, to analyze the differences of pursuing benefit, satisfaction, and clothing purchase behavior among the consumer groups segmented by store pursuing benefits, and to provide useful information for establishment of marketing strategies. The subjects were 500 female consumers experienced in purchasing clothes at fashion outlet stores. A total of 500 questionnaires were analyzed with $X^2$-test, ANOVA, factor analysis and Duncan's multiple range test. The results were as follows: 1. Pursuing benefit and satisfaction at casual wear and official wear were composed of 5 factors. 2. Pursuing benefit and satisfaction at casual and offcial wear, and clothing purchasing behavior variables such as informants, frequency of purchase, shopping time, and average monthly expenditure on clothes were significantly different among the 3 segmented groups. Product pursuing group was shown to seek higher level of esthetic feeling, suitability for self image and body, fsshion and symbolic meaning of brand than other groups in casual and official wear and to be most satisfied at symbolic meaning of brand, social recognition, and practicality in casual wear of outlet and at suitability and social recognition in official wear of outlet. Store convenience pursuing group was shown to seek higher level of suitability for self image and body, quality, and practicality than other groups in casual and official wear and to be most satisfied at quality and practicality in casual wear of outlet and at practicality and suitability in of cial wear of outlet. Price pursuing group was shown to seek and to be most satisfied at practicality in casual and official wear of outlet.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.2
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• pp.202-212
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• 2013

Outstanding service quality is a crucial factor to increase customer revisits, to increase customer revisits, to create new customers through positive word-of-mouth marketing and increase profits; in conjunction, the physical environment of department stores have a firsthand impact on customer purchasing behavior. This study examines the physical environment dimensions of department stores in China and the causal relationship with the physical environment, service environment, internal responses and store loyalty. The subjects in this study were male and female adults who finished the shopping the Lotte and Wangfujing Department Store located in Beijing. All participants were over the age of 20 and a one-on-one survey was conducted to gather data from October to November 2011. Data from 424 respondents were analyzed: in addition, AMOS factor analysis and path analysis were used. The results were as follows. First, physical environment factors consist of exterior aesthetic attraction, convenience, cleanliness and an interior aesthetic attraction. Second, exterior aesthetic attraction, convenience and cleanliness affect the overall service environment perception. Third, the service environment exercised an influence on internal responses, and internal responses impacted store loyalty. Fourth, a comparative analysis was made over Korean and Chinese department stores in China to check the research model. In Wangfujing Department Store, exterior aesthetic attraction, cleanliness and convenience had a statistically significant impact on service environment perceptions. In Lotte Department Store, the perception of service environment was under the statistically significant influence of all physical factors (exterior aesthetic attraction, interior aesthetic attraction, convenience and cleanliness). The findings of this study are helpful for Korean Department stores that plan to make inroads into China to formulate efficient service environment strategies tailored to local consumer characteristics.

• Journal of Fashion Business
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• v.12 no.4
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• pp.88-98
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• 2008

In order to improve the problems with obese women's ready-to-wear by age range, this study surveyed the actual clothing purchase and wearing of women in their 20s and 30s with normal and obese body types, and compared and analyzed their satisfaction with ready-to-wear by age and body type. First, for normal body types, both women in their 20s and 30s use department stores the most. Meanwhile, obese women in their 20s make most of their purchases at internet shopping malls, while those in their 30s mostly go to department stores. For criteria for purchasing clothing, normal women both in their 20s and 30s value design most whereas, obese women put size and fit before design regardless of their age. Normal women in their 20s and 30s both were most unsatisfied with standardized design because they could not find designs they wanted. Obese women in their 20s and 30s also showed disapproval of unvaried sizes, indicating a distinct difference in body types and age. As well, the study found that both normal and obese women wear casual style the most, followed by semi-formal style. Also, regarding the images they were seeking when wearing clothing, the normal women wanted to look fashionable, while obese women wanted to look slim, regardless of age. Both body-type groups generally like preferred semi loose-fits the most, followed by tight-fit. They however, dislike relaxed loose-fitting.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.1-11
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• 2020

Image-based virtual try-on (VTON) is becoming popular for online apparel shopping, mainly because of not requiring 3D information for try-on clothes and target humans. However, existing 2D algorithms, even when utilizing advanced non-rigid deformation algorithms, cannot handle large spatial transformations for complex target human poses. In this study, we propose a 3D clothing reconstruction method using a 3D human body model. The resulting 3D models of try-on clothes can be more easily deformed when applied to rest posed standard human models. Then, the poses and shapes of 3D clothing models can be transferred to the target human models estimated from 2D images. Finally, the deformed clothing models can be rendered and blended with target human representations. Experimental results with the VITON dataset used in the previous works show that the shapes of reconstructed clothing are significantly more natural, compared to the 2D image-based deformation results when human poses and shapes are estimated accurately.

• Journal of Fashion Business
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• v.19 no.6
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• pp.82-100
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• 2015

Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.99-109
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• 2001

The purpose of this study is to propose the effective development a fashion coordination website by computer graphics and web animation programs. Today, the internet fashion shopping malls come into the spotlight as the way of marketing. The amount of clothing products sold on the internet shopping mall and interest in the website design is increasing. This means many people consider that the web site design is one of the most important thing to lead customers to purchasing. For this reasons, this study develop fashion coordination items which was designed by the computer graphics software named 'photoshop 6.0'and propose the more visual effect of fashion coordination web image which was designed by animation software named 'flash 4.0'. As a result of this study. 1 It can accumulate a database of trend garment. 2. It can help designers save a time, expenses and tries to treat design also make correction and transform their work more freely. 3. It can help develop a new textile through the various image adjustment. 4. It can give more visual and interesting effect to website by animation and multimedia. 5. It can able to communicate interactive with each other by website.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.2
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• pp.89-100
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• 2018

This study investigated students' perception of a starting up business in the fashion design related departments of two year colleges to present the basic data for designing a start up business education and examined the opening status of the start up business subjects. Only 4.4% of respondents answered that they had an experience in a start up. And 76.2% of respondents answered that they would like to start up a business after graduation. The initial start up types were "online shopping mall" and "blog market" in that order. Nearly 86.7% of respondents answered that they needed "start up" education in college. To the question of whether they would participate if there is a start up extracurricular program, and the subject they would choose, 40.9% answered "I want to get a start up related certification", showing the highest rate of interest in the course. The status of introducing start up business subjects in the regular courses in fashion design related departments in 25 two year colleges related that there were 11 start up related courses begun in the last semester, that is, the 2nd semester of the 2nd year. Since the proportion of clothing in online shopping malls is high, start up education based on the demands of students in fashion design majors can be used as another employment exit strategy.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.19-32
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• 2005

Internet shopping has transformed our daily lives as well as the pattern of consumption. In the word, the development and the growth of online shopping site have led to new pattern of consumption. This applies in particular to clothing, among the product on sale, on the internet. The purpose of this research is to analyze the characteristic of colors and images on internet fashion soho mall web site, and to provide efficient color information which is usefull in color planning and suitable for brand image on fashion web site. 147 color sample used by 40 fashion soho mall web site were collected and analyzed. The results of this study are as follows. First, dominant color on fashion web site is static color as black and it's ratio is 33$\%$. Second, G color is not used. Third, Hue and tone mainly used It tone of P color except V tone. And the color image on internet fashion soho mall web site are modern, chic, dandy, formal. Results from analyzing the fashion soho mall Web site. it is important to unity the company's image but its more important to make a color plan considering the sites feature and the customers's sensitivity.

• The Research Journal of the Costume Culture
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• v.28 no.1
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• pp.45-61
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• 2020

As consumers have transformed into the influential entities in the recent consumption environment, it needs a new concept to describe their characteristics. Drawn on the notion of smart consumer experience, this study views the multiple traits of new consumers as consumer smartness. Therefore, elaborating the concept of consumer smartness, this study aims to develop its measurement and validate it by examining the relationship with external variables. Two online surveys were conducted by a professional survey company that had nationwide consumer panels. A total of 531 adult consumers who had purchased fashion goods online completed a self-administered questionnaires. A series of exploratory and confirmative factor analysis generated 21 measuring items with six underlying constructs of consumer smartness such as innovativeness, opinion leadership, self-disclosure, marketing literacy, dissatisfaction, and technology sophistication. In order to validate the measurement, this study conducted a Pearson's correlation test and structural equation modeling analysis with consumer smartness and external constructs. The result shows that there was a significant positive relationship between consumer smartness and behavioral intentions online. In addition, consumer smartness influenced their shopping and sharing intention which supported the validity of new measurement of consumer smartness. This study provides a theoretical and empirical ground of understanding consumer smartness as new consumer characteristics in the changing environment of fashion retailing.

• The Journal of Bigdata
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• v.4 no.1
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• pp.29-38
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• 2019

In this paper, we propose a sales forecasting model that forecasts the sales volume of short sleeves and outerwear according to the temperature change by utilizing accumulated big data from the online shopping mall 'A' over the past five years to increase sales volume and efficient inventory management. The proposed model predicts sales of short sleeves and outerwear according to temperature changes in 2018 by analyzing sales volume of short sleeves and outerwear from 2014 to 2017. Using the proposed sales forecasting model, we compared the sales forecasts of 2018 with the actual sales volume and found that the error rates are ±1.5% and ±8% for short sleeve and outerwear respectively.