• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.82-93
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• 2019

Fashion cannot encourage co-consumption with other people as a personal item, but it can lead to new consumer needs if fashion sharing service can professionally replace the time and cost of purchasing and managing goods. The purpose of this study is to empirically investigate the factors influencing the acceptance of fashion-sharing services based on the integration theory of user acceptance and utilization (UTAUT), and to discuss the virtuous cycle and sustainability pursuit of resources through the activation of the sharing. In this study, the research model for the acceptance of fashion sharing applications is schematized, and the survey was conducted 300 women aged 20~49 years. The screens of 'Project Anne', a representative fashion sharing service in Korea, were provided as a visual data. Reliability analysis, correlation analysis, confirmatory factor analysis, structural equation analysis, and multiple group analysis were performed using SPSS 23.0 and AMOS 22.0 statistical package for statistical analysis. As a result, efficiency and social influence positively influenced behavioral intention to use, and age has found that efficiency and social influences modulate the intensity of behavioral intention to use. Therefore, for the consumer acceptance and activation of fashion sharing services, marketing activities emphasizing efficiency and strengthening social influence factors are essential. Also, it is necessary to maintain the existing target group, 30~40s, and also construct additional products and price services for the 20s. This study is of academic significance in presenting basic data for empirical research on consumer acceptance of fashion sharing, and suggests a study on the influence relationship among user experience components for real users in the future.

• Journal of Fashion Business
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• v.15 no.5
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• pp.129-143
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• 2011

The purpose of this study is to classify fashion brand app types through current fashion brand app releases. To this end, this study used Internet Web, articles, newspapers, and existing studies on brand applications as well as the data that were analyzed after downloading the relevant brand app. Firstly, this study aimed to analyze rapidly growing smartphone market and brand app market situations and look into brand app's own characteristics from the corporate marketing perspective. In addition, the study divided the types into a basic information type and an additional information type by analyzing functions of 30 fashion brand apps. As the result, the basic information type contains product info, store info, fashion info, and coordination info. The additional information type contains entertainment, hobbies, life info, mutual experiences, and sharing services. According to the divided fashion brand app types, the goals of companies also can be divided as three. Firstly, the aim is to expand sales, secondly to improve brand awareness, and lastly to build customer relationship. Consequently, companies will have to select brand app types suitable for their goals and provide to consumers.

• 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 Korea Convergence Society
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• v.8 no.7
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• pp.199-205
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• 2017

Despite the economic downturn, the amount of clothing being discarded is increasing due to the fast fashion. The purpose of this study is to propose a fashion sharing service development to settle the rational consumption culture along with the abandoned clothes problem. Shared fashion rental service has attracted as a solution to environmental problems not only when clothes are incinerated but also in manufacturing process, but there is a lack of precedent research. Therefore, this study is meaningful in that it has developed two development plans based on the results of analysis of service case based on three factors by Rachel Botsman. First, active community development. Second, it is the creation of goods through activation of the shared economy. In this study, there are limitations that can't be proved through actual application, so more research is needed through empirical studies on actual users in the future.

• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.140-156
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• 2018

The purpose of this study is to review and establish the three concepts of upcycling, zero-waste fashion design, and regional sustainability through a review of domestic and international case studies. Furthermore, it will provide the theoretical basis for using upcycling as a regional sustainability practice to create zero-waste fashion design. To conduct an empirical study, we systematized the stages of the survey on waste resources in Changsin-dong, the sourcing and utilization of waste resources, the design-planning stage, and the co-production with pattern and sewing masters as a suggested practice for regional sustainability. Through this study, we propose the possibility of regional sustainability by developing and sharing the method of zero-waste fashion design. The conclusion of the study as follows: First, upcycling fashion designs can be extended to a regional sustainability practice by taking the characteristics of social design into account. Second, by providing a design development process and methodology suitable for regional sustainability application, it is helpful to revitalize regional upcycling fashion brands and communities by providing data for upcycled fashion branding. Third, as part of the revitalization project for the Chang-shin and Soongin areas that started in 2014, using the region's economic, cultural, and environmental characteristics to make and sell high-value, upcycled fashion products will contribute to social and economic achievements and aid in solving regional problems.

• Journal of Fashion Business
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• v.9 no.4
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• pp.44-58
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• 2005

In a global market environment with information technology, the textile and apparel industry tries to survive by having competitive power embedded in Supply Chain Management to improve the interrelation among different stages of industries such as fiber, textile, apparel manufacturing, and retailing. The purpose of this empirical study was to investigate performance on Supply Chain Management of textile firms such as 4 textile export firms and 10 collaborate firms which were adopted SCM system. For research methodology, we developed questionnaires based upon interview and literature review. The results of this study were as follows: There were neutral responses or somewhat dissatisfactions on SCM application from CEOs, CMOs, site workers, and collaborators, but over half of respondents indicated 21-40% improvement of affairs. Standard documents and information sharing of SCM system were salient effects. SCM system with standard documents improved receipts/payments and inventory management most.

• The Journal of Information Systems
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• v.31 no.4
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• pp.145-160
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• 2022

Purpose The purpose of this study is to develop a virtual try-on deep learning model that can efficiently learn front and back clothes images. It is expected that the application of virtual try-on clothing service in the fashion and textile industry field will be vitalization. Design/methodology/approach The data used in this study used 232,355 clothes and product images. The image data input to the model is divided into 5 categories: original clothing image and wearer image, clothing segmentation, wearer's body Densepose heatmap, wearer's clothing-agnosting. We advanced the HR-VITON model in the way of Mixed-Precison, Gradient Accumulation, and sharing model weights. Findings As a result of this study, we demonstrated that the weight-shared MP-GA HR-VITON model can efficiently learn front and back fashion images. As a result, this proposed model quantitatively improves the quality of the generated image compared to the existing technique, and natural fitting is possible in both front and back images. SSIM was 0.8385 and 0.9204 in CP-VTON and the proposed model, LPIPS 0.2133 and 0.0642, FID 74.5421 and 11.8463, and KID 0.064 and 0.006. Using the deep learning model of this study, it is possible to naturally fit one color clothes, but when there are complex pictures and logos as shown in <Figure 6>, an unnatural pattern occurred in the generated image. If it is advanced based on the transformer, this problem may also be improved.

• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• Journal of Fashion Business
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• v.22 no.6
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• pp.70-82
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• 2018

In modern society, the means of sharing information has expanded from existing personal computers and mobile devices to a variety of smart devices rapidly increasing information production. Recently, curations have extended to online businesses. There has been wide use of curation services in the cosmetics curation market. In this study, focuses on factors which cosmetics curators have in mind. In relation to the impact of cosmetics curation quality properties on usability, the effects of the medium of satisfaction and confidence are to be verified. For this study, a survey of 378 women in their 20s and 40s who had experience with curations was done and the collected data were analyzed using SPSS 23.0 and AMOS 23.0 statistics programs. The results showed that information quality and personalization quality of cosmetics curation service were important factors affecting customer satisfaction. Personalization quality also had a positive effect on trust. System quality has a positive impact on trust and further influence on intention to use. This indicates that the trust on the curation service depends on the stability of system. However, design quality was found to have no significant effect on satisfaction and trust. In future, the research related to application and utilization of big data-based cosmetic curation will be further expanded.

• Journal of information and communication convergence engineering
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• v.8 no.5
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• pp.473-478
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• 2010

Today's engineering design is carried out in a distributed fashion geographically or physically. This places new requirements on the computational environments such as efficient integration and collaboration. With the advances of the Internet and Network environment recently, many researches have been proposed and at the same time, Web-based distributed design gives to a new paradigm in design and manufacturing fields. That is, Web-based technologies lead to reduce the product development times and to ensure a competitive product in order to exchange and interact of real-time design information that integrates the distributed design environment between departments as well as companies via Internet and Web. So, an efficient data communication for design information sharing is the foundation for collaborative systems in the distributed environment. Design data communication techniques such as CORBA, DCOM and RMI have been considered in the existing research but they have some problems that are limitations of interoperability and firewall problems in the Web. Therefore, this paper presents a Web-based distributed design application where distributed design information resources are integrated and exchanged using Web Services for supporting XML and HTTP without the interoperability and firewall problems through the 330K VLCC case.