• 패션비즈니스
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• 제18권6호
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• pp.157-173
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• 2014

The purpose of this research is to investigate the effects of fashion companies' micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. In this research, the technology acceptance model (TAM) was used as the research framework, and innovativeness, self-efficacy, and perceived enjoyment variables were included in the model. Through an online survey, 195 respondents participated in this study. The results were as follows: fashion innovation and self-efficacy have a significant positive effect on perceived usefulness, as well as ease of use. These two factors have a significant positive effect on perceived enjoyment. Furthermore, and most significantly, this perceived enjoyment has a significant effect on the consumer's attitude toward the company, and intention to purchase the fashion company's products.

• 한국의류산업학회지
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• 제22권5호
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• pp.617-627
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• 2020

This study investigates the apparel sizing communication presented in online retail websites focusing on women's ready-to-wear tailored jackets and to analyze the meaning of these information as the actual product size guide factor. A total of 34 retail websites were selected based on the highest growth fashion companies list and the best fashion brands list. We collected size information in two types: size specifications including sizing code, body measurements, garment measurements, and size references including customized size guide tools, size information in customer reviews, model size information, and others. Most websites prefer to present garment measurements rather than body measurements that are recommended notations under Korean standards and related regulations. In addition, there was the absence of consistency in presenting measurements list and terms that can confuse consumers in size communication. This study found that the stature measurement was a key factor in size reference despite that it did not represent a proper garment size. The obsolete Korean numbering sizing code such as '55 and '66 was still used in many ways such as idiomatic expressions for body shape. It also implied that we can take advantage of the old sizing code for accessible size information. The finding of this study gives an in-depth diagnosis of current online sizing information problems and suggests useful basic data for developing online apparel size standards and marketing strategies.

• 패션비즈니스
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• 제23권4호
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• pp.68-85
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• 2019

The purpose of this study is to analyze the characteristics of the New-Hanbok styling of online shopping mall, and to also suggest a solution to the problems of the New-Hanbok styling and develop a progressive plan. The research method was to search six keywords related to 'Hanbok' in the search portal 'Naver' and select 14 Hanbok brand companies. A total of 412 pictures of products for the model used on main screen were analyzed among 14 companies. The results of analyzing the New-Hanbok styling are as follows. First, the New-Hanbok styling showed the unstructured characteristics like unconventional arrangement after getting out of the fixed form of traditional Hanbok styling elements. Secondly, diverse images were represented as the hairstyle and makeup were highlighted as the elements of New-Hanbok styling. Thirdly, the new, fresh, trendy, and fashionable New-Hanbok styling was shown through the mix-and-match of traditional Korean-style accessories and fashion jewelries. However, regarding the New-Hanbok styling shown in online shopping mall, the overlapped items were especially found while the difference in material, pattern, and color required to overcome this problem was insufficient. It was lacking in the styling consistency for the establishment brand image while the awareness of the importance of accessory styling was insufficient. The brand competitiveness of the New-Hanbok could be secured by raising awareness on differentiation, consistency, and importance through the styling elements such as item composition, material, pattern, color, hairstyle, makeup, and accessory of brand.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.676-691
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• 2022

An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

• 패션비즈니스
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• 제22권6호
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• pp.25-38
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• 2018

Recently, issues on the environment, which have become key bottlenecks relative to sustainable economic development, have generated common concern. However, relatively scant research has been devoted to consideration of relations between consumers' environmental concern, green fashion advertisement value, and green consumption. In this study, using structural equation modeling (SEM), effects of environmental concern, perceived green fashion advertisement value, and attitude towards green fashion advertisements, on ecological purchases and their interrelationships are investigated. A model is constructed to link aforementioned constructs. Data, was collected through a questionnaire-based online survey (www.sojump.com) of 260 Korean consumers and 260 Chinese consumers. Findings suggest that environmental concern can improve their perception of green advertisement value. One of the findings showed strong positive relationship among green advertisement value, positive attitude, and purchase intention towards green fashion advertisement, while environmental concern negatively influenced their attitude towards green fashion advertisements. It suggests that if companies adopt green advertising strategies, environmentally-conscious consumers are willing to pay more, to purchase green fashion goods in to satisfy their needs. We should put more effort in educating consumers about environmental issues, to raise the level of environmental awareness and satisfy their concerns relative to green fashion goods. Conversely, there is significant positive relationship with the moderating effect of consumers' nationality in all paths, so results above would make significant contributions to green literature, and would also contribute to advertisement strategy implications as well. Especially fashion marketers, an use accurate and fair environmental claims in their advertisements to increase sale and profits.

• 한국생활과학회지
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• 제20권2호
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• pp.391-400
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• 2011

Internet shopping malls for fashion products(e.g., apparel, cosmetics and accessory) may become a major player with a promising future because of its tremendous growth in e-commerce. In addition, the fashion market has been segmented by various types of shopping malls on the internet. For many types of internet shopping malls, literatures give us numerous types, such as general mall, specialty mall, open-market, mall-in-mall, department-mall, brand-mall, and a specialized category mall, etc. Although each mall specializes in different activities, a unified categorization with managerially meaningful implications has not been made. This paper aims to explore criteria of internet shopping malls based on previous research related to shopping mall types for fashion products. The results found that internet shopping malls for fashion products were classified based on physical space, openness of the mall, number of companies, method of profit, specialization of products, number of product categories, and brand products dealt with. Internet shopping mall for fashion products was classified into online malls versus online malls versus offline mall, open mall versus closed mall, single mall versus multi mall, retail-trade mall versus syndicated mall, general mall vs specialize mall, one-product category mall versus multi-product category mall, and brand mall versus non-brand mall. These findings could offer an important contribution in research and practice, and an insight into developing appropriate strategies for effective fashion shopping mall management related products.

• 한국의류산업학회지
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• 제26권1호
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• pp.55-64
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• 2024

This study investigated the usage and product conditions of clothing companies and online dummy companies for the development of fitting dummy for South Korean women's wear in their 50s and 60s. These women-targeted apparel companies mainly used nude-sized torso type and torso crotch type made of FRP material. The frequency of use of the dummies was high, while the user satisfaction was moderate. Users expressed dissatisfaction with the inaccurate reflection of the body shape according to the KS sizing system and the measurements such as the front and back intercye, upper arms, abdomen, crotch, and waist back length. Upon survey, 73.7% of the respondents answered that development of the dummy and the appropriate age for it is 50 to 54, and they preferred the torso crotch form. In the production of online dummy companies, the torso crotch type and torso type were most widely produced, and polyurethane, FRP, and recycled paper materials were used. The size of dummy was expressed in numerical type, and 6, 7, 8, 9, 10, 12, 14, 16, 18 and 44, 55, 66, 77, 88 were being produced. Even models of the same size had significant deviation, especially in the waist circumference. Also, there was no dummy reflecting 25%~75% center interval to the KS garment sizing standards of women in their 50s and 60s. Therefore, it is desperately necessary to develop a fitting dummy for KS clothing sizing system that reflect their body sizes and shapes.

• 패션비즈니스
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• 제27권1호
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• pp.1-15
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• 2023

This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

• 한국의류산업학회지
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• 제17권6호
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• pp.907-918
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• 2015

With the pervasiveness of digital environment and expansion of new media, ICT (Information and Communication Technology) leads the role of consumer to change from a passive customer into an active co-producer. As customer participation in the fashion industry increases, this study attempts to explore the cases of customer participation as a co-producer in fashion industry through analyzing business models of companies, including Threadless, Blank label, Cut on Your Bias, Acustom Apparel, Thinkgivers. The results show that customer participation is mainly facilitated through design participation in fashion industry, with different level of participation and IT as well as different contribution target. Compared to the past, consumer’s preference is reflected through participation before the stage of production. Results indicate three main characteristics of customer participation in fashion industry. First, value co-creations using customer experiences and understanding customer needs are important. Second, active online communication among customers are critical. Third, it is important to ensure customer’s own item. From a customer perspective, participation enables them to purchase their own distinctive product and offers exciting experience and satisfaction over the production processes, and compensation can be used to increase customer participation. On the other hand, companies using customer participation can take advantage of cost reduction in product development, inventory, and marketing. Customer participation, as a win-win strategy for business and consumer, is expected to expand further in the future with the development of ICT.

• 한국의상디자인학회지
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• 제24권2호
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• pp.59-72
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• 2022

The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.