• Fashion & Textile Research Journal
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• v.23 no.2
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• pp.212-225
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• 2021

With the recognition of YouTube as an information search tool, YouTube creators have subsequently become sources of information to consumers. Accordingly, this study aims to analyze the consumers' response of famous fashion YouTubers in Korea, and to identify differences in consumer response based on the gender and generation of YouTubers. During the period from the opening of fashion creators' YouTube channels, we collected postings on blogs and Internet cafes using textom. As a result of preliminary investigation, six fashion YouTubers were selected. First, all the selected fashion YouTubers were well recognized by consumers as fashion informants. However, Milanonna has been shown to act as a life advisor and as an informant for luxury brands at the same time. Second, female fashion YouTubers were perceived with themes related to daily life, beauty, emotions, and mood rather than fashion itself; whereas, male fashion YouTubers appeared to be more interested in fashion accessories, especially with respect to the basic style. Third, Generation Z fashion YouTubers used the most non-fashion keywords, and their Millennial counterparts used keywords related to fashion items and product purchase properties. However, consumer response to OPAL fashion YouTubers have emerged with items such as life experiences, wisdom, and advice. Moreover, OPAL fashion YouTubers showed a variety of consumer assessments and the YouTuber's personal background. This study's analysis of the differences in the consumer response to fashion YouTubers based on gender and age enables the establishment of an appropriate strategy to attract target consumers and identify their appeal points.

• The Research Journal of the Costume Culture
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• v.28 no.4
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• pp.527-543
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• 2020

The aim of this study is develop a state-funded education and training curriculum to contribute to the development of the fashion industry infrastructure. This will be achieved based on the service sector by the competitive clothing sales personnel and fashion startups. The study was conducted using a qualitative research method. The participants were 20 representatives of fashion-related companies and employees from one traditional market and two fashion outlets in Seogu, Gwangju. Data was collected from September 2015 to January 2017 by demand surveys and in-depth interviews. These were conducted on the same day at each clothing store office. In addition, existing literature was also reviewed. The collected data were first summarized into 64 meaning units from which three themes were derived by arranging, classifying, and analyzing the data. The findings of the study are as follows. First, the education and training curriculum for fashion job creation is aimed at job-oriented field-types with the objective of cultivating professional skills for online to offline fashion professionals. Second, the curriculum for fashion advisors was developed to consisted of 8 courses of 150 hours, including job knowledge, a foreign language, fashion-specific knowledge, fashion marketing & VMD, store management know-how, clothing repair, field trip, and internship. Third, the curriculum for fashion entrepreneurs consisted of 8 courses of 106 hours, including entrepreneurship, fashion practice, startup, field trip, finance & taxation accounting, marketing, social enterprise course, and internship.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.2-5
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• 2022

With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.3
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• pp.27-36
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• 2008

This article aims to identify the current status of outsourced production of Dongdaemun brands and to discover the consumers' perception of those outsourced products, their degree of satisfaction, and preference in purchasing those products. Moreover, the strengths and weaknesses of the outsourced products, as perceived by the consmers, have been identified, and specific methods and directions for efficient overseas outsourcing of Dongdaemun brands are suggested. This study also contains experimental works, in which I have prepared questionnaires, and my advisor have collected data. This survey was conducted on corporation managers, who directly operated clothing stores in Dongdaemun Market in December 2007. The collected data have been analyzed using SPSS 12.0 with various techniques such as t-test, paired t-test, frequency analysis and $X^2$-test. The results are summarized as the following: a) Comparison of the current outsourcing status of Dongdaemun brands showed that only eight out of the total 42 investigated companies have actually been outsourcing the production of their clothes. The biggest advantage of outsourcing was the reduced unit production cost, while low quality of products, delayed production, difficulty of control and management were shown as its disadvantages; b) the reason for purchasing clothes in Dongdaemun Market was to buy various clothing products. Comparing these reasons among different groups showed that there was a significant discrepancy in terms of trend design and copy design, in which wholesale consumers had shown a higher degree than retail consumers; c) and the preference for outsourced products of Dongdaemun brands was negative in both wholesale consumers (71.05%) and retail consumers (83.54%), as they both prefer clothes manufactured in Korea. Both groups selected the expensive price as the biggest disadvantage of Korean products, and picked design as the biggest strength of the outsourced clothes. Furthennore, both wholesale consumers (63.16%) and retail consumers (74.68%) selected Italy as the most preferred country for outsourcing clothing production. in which their reason had been their expectation for good product quality. The least preferred country for both wholesale (47.37%) and retail (50.63%) consumers was China, a country which they expected poor product quality.

• Journal of the Korean Society of Fashion and Beauty
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• v.3 no.2 s.2
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• pp.55-64
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• 2005

The purpose of this study is to investigate consumers' knowledge and preference towards functional cosmetics. Through the beauty advisors' surveys, their own selling styles and consumer behaviors recognized by beauty advisors were analyzed. It was intended to help extend and strengthen the functional cosmetic market which has continued to grow rapidly since the approved goods under cosmetic law in 2001. For this study, the data was collected through questionnaires the professional consumer counselors confirmed from Korean women over the age. of twenty old living in the Seoul and Kyoungki areas. After pre-research was implemented on 45 women, 328 samples were analyzed as final samples. In addition,46 samples, which were collected through the questionnaires from beauty advisors were analyzed. Samples were analyzed by frequency, percentage, T-test, ANOVA using the SPSS program. The results of study were as follows: First consumers recognized whether functional cosmetics or not. According to the beauty advisor's surveys, consumers regard the functional cosmetic boundary as being wider than real functional cosmetic boundary according to cosmetic law. So, there is a gap between consumers' opinions and real law. Second, regarding the purchasing channels, the largest channel is the cosmetic store. As far as consumers are concerned the most important factor when buying cosmetics, is the suitability of their own skin types. The second factor is product quality and the third factor is price. Functional cosmetics non-experienced group are more concerned with price compared to experienced group. Related to purchasing products, functional cosmetics experienced group buy set products compared to non-experienced group buy one product. Third, the ultraviolet filter cosmetics portion is the largest in the functional cosmetics market the second largest portion is bleaching cosmetics and the third largest portion is the anti-senility cosmetics. However, Most preferred by consumers is the anti-senility cosmetics. Moreover, preference for ultraviolet filter cosmetics is the least. Finally, the level of satisfaction for functional cosmetics is high and dissatisfaction is low. Consumers feel that beauty advisors are simply pushing high priced products without recognizing the consumers' real needs. In conclusion, to develop the functional cosmetic market continually in the future, it needs to extend various products and advertise them until consumers are more aware.