In this study, the characteristics of digital anthropometric methods were determined with case studies. These methods were broadly classified into two categories: non-wearable and wearable. Then, these categories were further classified into four types: 3D Scanning, mobile app, smart clothing, and smart tool Among the non-wearable types, the "3D scanning" technique was based on the use of 3D hardware equipment. With this technique, the body shape was measured and the internal body information was obtained. Therefore, it is used in fields of healthcare and fitness. Among the wearable types, "Smart clothing" involves a special clothing that measures human body and a smartphone application. Both the components are linked to a fashion platform, which is based on the measured sizes that help shoppers. The "Smart tool" has the characteristic of measuring only with smart tools and smartphone applications; it does not involve the measurement of images. The common advantage of digital anthropometric methods are as follows: they reduce the time and cost of measurement by enabling self-measurement. Moreover, simple measurements are used to determine the size of anthropometry. Thereafter, it accumulates this data to track the continuous changes in size. From an industrial point of view, digital anthropometric technology should be used to increase sales. The on-demand market can be expanded as global consumers would throng the Korean fashion market. For the consumer, an avatar should be created to fit the user's size. This would provide a fun experience to the user.
This study aimed to understand the current status of practice for sustainability in luxury fashion brands. A total of five luxury brands (Louis Vuitton, Hermès, Gucci, Burberry, and Prada) were selected. Each company's official website, sustainability reports, and articles on sustainability practices were compiled. In addition, analysis was performed based on criteria of sustainability such as environmental, social, economical, and cultural dimensions. As a result, the biggest commonality of the five brands was that they promoted the most active change in the environment. These brands tried to reduce energy consumption in materials and production processes. Among them, Burberry, Gucci, and Louis Vuitton had their own departments for sustainability. However, there were differences in strategies of activities between brands for social, economical, and cultural sustainability. Among the five companies, Burberry and Gucci pursued sustainability strategies the most aggressively. They separated their sustainability strategies in terms of environmental, social, economical, and cultural aspects and shared them with consumers. A set of outcomes for the plan were provided as objective data. The sustainable management strategy has become a key strategy for long-term growth of the luxury brand market. To survive in the market, luxury brands should elaborate sustainable management strategies and actively share them with consumers.
Journal of the Korea Fashion and Costume Design Association
/
v.5
no.1
/
pp.47-57
/
2003
Today there are increasing number of internet users. Internet is wide use of banking, shopping, school and studding. Also, internet is used in everyday living and its use is getting larger. Korea has the one of the most use of internet in the world. Most of houses have computer with internet, and there are alot of PC rooms in the streets. anyone can enjoy the internet anytime anywhere. Now, in internet there are group formed by community purpose. The 'dot com' companies was not making much of profit from their goods. However, they came out with an idea "avata" Soon, the avata became a hit and its known for its success. Avata is used for E-mail, name card, post stamp, and chatting. Also, Avata is very popular among chatting service, icon chatting, and 3D graphic chatting. Avata represent the user himself in internet and computer created imaginary space, and it connects between imaginary space and reality, also it exist between real name and nick name. Past years, the internet users were satisfied with their nick name, however resent year users wants to express them more. For the result the "Avata" is created to fulfill the need to express user themselves. There are three different ways to see how Korean react to fashion industry. first, Korea's land structure makes the density of population high, the transmission of information is very fast. Next, collectively is high among Koreans. Finally wide use to internet made the transmission of the fashion information much faster. The User wants to keep up with the fashion at the sametime they want to express themselves, and "avata" is the one that fulfill their needs. New technology and the desire to express themselves made the new term "avata industry". which was never existed before. In addition, the internet markets have potential power. Although, it is in start stage of avata industry. However, the experts say that its possibility of its development is not predictable. In conclusion, watch the development of a situation to analyze the avata industry and develop new avata fashion market.
An empirical study was conducted on fashion cultural products, targeting foreigners from diverse cultures. Its purpose was to identify foreigners' attitudes toward fashion cultural products of which design sources were derived from the Korean culture. The quantitative research using questionnaires was targeted at Americans, Chinese and Japanese who visited Korea. The questionnaires were back-translated into different languages for completion by the test subjects. Out of a total of 424 surveys returned, 393 were deemed usable. As a result of data analyses using SPSS 12.0 and AMOS 5.0, we found that: First, two attitude factors, the authenticity and aesthetic elements, exerted a significant effect on the intent to purchase. However, the last attitude factor, care and carriage convenience, did not significantly influence the purchase intention. Second, there was no significant difference in the attributes regarded as important when purchasing fashion cultural product between people from the U.S. and Japan. However, people from China showed differences in the attributes compared to the U.S. and Japan. Third, we found that attitudes toward fashion cultural products were different among respondents of three countries. It was revealed that the Chinese liked Korea's fashion cultural products the most, followed by Americans and Japanese. This research is significant because investigating foreigners' attitudes toward fashion cultural products for reaching out to a broader market abroad would contribute to help building an market entry planning.
This study investigated clothing shopping propensity and consumer awareness of Chinese adult men to provide necessary basic data for effective construction to cope with inroads into Chinese men's wear market. Research subjects were Chinese men in big five city (Beijing, Shanghai, Dalian, Harbin, Guangzhou). Returned 863 questionnaires were analyzed by mean, factor analysis, ANOVA, Duncan's Multiple Range, regression analysis with SPSS 10.0. Results of this research were as follows: 1. Chinese men's apparel shopping propensity factors were analyzed by four groups, such as fashion toward propensity, consume propensity, brand loyalty propensity, and casual preference propensity. 2. Consume propensity among 4 factors influenced most on consumer buying awareness. Brand loyalty propensity among 4 factors influenced most on consumer brand awareness. Fashion toward propensity influenced most on consumer fashion awareness. 3. According to region, there were significant differences to four grouped apparel shopping propensities. Harbin, Guangzhou were indicated higher fashion toward propensity than other areas. Guangzhou was indicated higher consume propensity than Dalian. Dalian was showed lower brand loyalty propensity than other areas. Beijing was showed higher casual preference propensity than Guangzhou. According to income, there were significant differences to four apparel shopping propensities. Highest income group was showed higher fashion toward propensity than other income. The higher men earned income, the higher brand loyalty propensity. Highest income group was showed lower casual preference propensity than lowest income.
The purpose of the study was to investigate brand images and fashion leaderships of women's wear manufacturers targeting middle-aged women or older women. Thus, this study was to be an exploratory study to investigate clothing behavior of elderly female consumers and search apprel niche-market for them. The questionnaire consists of questions on brand images, fashion leadership, and merchandise assortment. The subjects were to evaluate their brand images and rated on 5 point Likert-type scales of 29 adjectives. The fashion leadership of these brands was evaluated by the degree of fashion trends adopted on 7 aspects including fashion images, silhouettes, fabrics, colors, design details, accessories, and item-coordinations. For the survey, both interview and the subjects were 66 manufacturers which have national brands or designer brands. Among 44 respondents, 30 respondents were designers and the rest of them were merchandiser or shop managers. The SPSS PC+ package was used to calculate frequency, T-test, and cluster analysis. The results from survey of manufacturers targeting middle-aged women or older women are as follow: 1) The brand imges which they pursue are prestigious, practical, and elegance. 2) There were significant differences in brand images, and national brand manufacturers pursue stronger images in prestigious, chic, intelligent, competency, than designer brand manufacturers. 3) 40 brands were divided into two clusters. 36 brands were included in one cluster, and only 4 brand were belong to the other cluster. In this market, the image of feminity was grouped with the image of prestigious, chic, intelligent, competency. 4) In product planning, the adption level of fashion trends in 7 aspects was generally at medium level, but fashion trends were more adopted in fabric, color, and item-coordination.
The purpose of this research is to analyze the effect of the traditional color sentiment on the contemporary clothing color by researching the street fashion of 2010 Winter season of Dalian in China, in view of the clothing color of women in their 20-30 years of age, along with traditional Chinese color. This is the 2nd paper following the paper no. 1, focusing on 2010 Summer season, so the research method is same as the paper no. 1. As a result, Black and deep tone PB color most frequently appeared. The vivid and strong tone of R, YR, Y color showed high frequency of clothing colors. This results illustrate that the clothing color choices of Chinese women was affected by Chinese traditional color sentiment rather than the international color trend. Characteristically, in winter season, frequency of R and Y color categories were higher than in summer season, specially in the top and accessories color, those colors showed higher frequency than the other colors. These were the important points in dealing with winter color trend, so that the fashion company and brands should take it an important points when they are planning winter clothing colors. The achromatic colors show the high frequency in both seasons. The bottom color shows high incidence of Black and deep tone of PB color categories as in the previous researches. That means consistent color trend existed in Dalian city, however it does not seem to have its origin from traditional Chinese color preferences. This kinds of regional and seasonal research might contribute to finding the basic informations about the design and marketing strategies to launch into the Chinese fashion market.
In South Korea, the growth of online shopping malls that are overtaking traditional offline distributors in sales requires the latter to concentrate on developing a variety of contents amidst the ever-changing and competitive market environment. First of all, attention should be paid to information on fashion item materials. This study examined the current status of online shopping malls with a focus on their three different types-specialized malls, general malls, and open markets-and investigated consumers' hedonic shopping motives and influence on fashion materials in terms of purchasing behavior. In doing so, this study surveyed men and women in their 20s-30s residing in Seoul or its surrounding cities and used a total of 255 questionnaires for statistical analysis. The statistical software program SPSS 15.0 was used to conduct frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The study results showed that in general and specialized shopping malls, consumers granted greater reliability and importance to fashion materials when their interest in shopping or attention to fashion items/brands was high and when they wanted rare items. In open markets, the more interest consumers had in shopping and the more sensitive they were to fashion information, the more dependent they were on prices; in other words, prices were found to have a greater influence on their purchase decisions than the quality of fashion materials. The findings of this study would be useful to marketers and distributors who are trying to develop their marketing strategies based on fashion material information, according to the different types of online shopping malls.
In recent years retail competition has intensified, generally as a consequence of technologies, more sophisticated management practices and industry consolidation. An understanding of current customers' loyalty intentions and their determinants is an important basis for the identification of optimal retailer actions. The focus of this study is to examine the links between patronage intention and the effects of various antecedents of current customers' store loyalty intentions in fashion store. 340 female universities students living in Seoul were analyzed by utilizing multiple regressions to investigate the predictability of each of the 4 different sets of variables(consumer value, source of information, clothing benefits, importance of store attributes) on four patronage intentions of apparel shopping(discount store, speciality store, conventional market, Fashion shopping mall). Four factors were significant in predicting conventional market patronage intention. Brand had a negative coefficient, while price, social affiliation, store fashion service/promotion had positive coefficients. Fashion shopping mall were predicted by five factors:brand had a negative coefficient, while media, social affiliation, price, uniqueness had positive coefficients. For specialty store, four factors were significant: brand had a negative coefficient, while store fashion service/promotion, personal sources, uniqueness had positive coefficients. Four factors were significant in predicting discount store patronage intention :price, store fashion service/promotion, social affiliation, variety of price & product had positive coefficients. Despite the relatively low $r^2s$, all four variables appeared to have, to some degree, predictability of choosing among four different types of store for apparel shopping. Based on the results, patronage intention profiles for four retail stores were developed. Marketing implications are discussed.
Journal of the Korea Fashion and Costume Design Association
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v.24
no.2
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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.
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