• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.538-553
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• 2021

As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.337-346
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• 2021

In the fourth industrial revolution, fashion students are expected to work with various technologies to show creativity. This study aimed to conduct project-based learning(PBL) in collaboration with industry experts to design and operate artificial intelligence(AI) in the practice subject of fashion curation through the industrial academic teaching method. We first looked at teaching methods and strategies incorporating PBL in various academic fields. Next, we analyzed fashion projects and fashion curation services applying AI. Then through the question-and-answer method and by consulting with industry experts, we developed a curriculum for AI fashion curation, applying PBL(fashion market and trend analysis; new styles and time, place, and occasion planning; AI machine learning data set production; curation model development; and evaluation) suitable for the university's educational environment, information technology company conditions, and fashion students. As part of a close cooperation system with the industry, we conducted a 15-week Fashion Project II (Capstone Design) course and evaluated the outcomes and student satisfaction with the course. Students were able to develop new style, and time, place, and occasion categories and to utilize strategies for AI fashion curation services reflecting the unique needs of Millennials and Generation Z. Students showed high satisfaction with the curriculum. Further, it was confirmed that the study successfully applied PBL in class using AI technology in fashion education.

• Journal of the Korean Society of Costume
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• v.56 no.1 s.100
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• pp.81-96
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• 2006

Fashion is very superficial. However, it is expressed through the culture that is a cause of internal change and therefore its contents are defined by the cultural features. In this study, to study the aesthetic properties of the French fashion, the internal fashion contents are defined according to the cultural characteristics of France and based on the definition, the external features are investigated. The cultural characteristic was analyzed based on the reference literatures on the French culture. Based on the cultural characteristics of France, the aesthetical properties of the contemporary French fashion can be analyzed as follows: ${\cdot}$Dualism is the internal contents of the French culture with multiple sources, and it implies that opposing values such as female and male, traditionalism and modernism, simplicity and decoration are coexisting. Simplicity is pursued but decorative elements are in harmony and new phase of time is reflected while certain style has lasted for a long period of time to become a tradition. Furthermore, a rational trend combining masculinity and femininity, simultaneously exist with a trend that emphasizes feminine image. ${\cdot}$Multiculturism is a mysterious feature that has adapted the oriental or other cultural factors into the forms, patterns, colors and material of costumes. It has also been reconstructed with the French and the modern tastes. ${\cdot}$Avant-gardism is pursuing a novel aesthetic value against the former value system. It recognizes the human body as an object of figurative arts therefore emphasizes the body with geometric shapes to deny the fixed-idea, or engraft new materials and technologies to express the futuristic aspects.

• Journal of Fashion Business
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• v.20 no.5
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• pp.102-114
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• 2016

The purpose of this study is to enable a scientific and rational approach for future research agenda setting in the clothing construction field. Through analysis of research papers on clothing construction published in domestic academic journals during the recent decade, the research trend of clothing construction in respective academic journals, research subjects, and research contents were grasped thoroughly. From all domestic academic associations' publication on garment/clothing and textiles/fashion, 7 academic journals were selected as subjects of research, in order to compare and analyze the research trend in the last ten years. The ten-year period ranged from April 2006 to March 2016, and a total of 735 papers published on clothing construction were used for analysis. The number of publications in the clothing construction area during the last decade has decreased, which is due to the increase in the number of clothing and textiles fashion-related academic journals, other than the 7 journals analyzed, and since the number of papers published in international academic journals has also increased. Body type, patterns, fitting test, and functional clothing accounted for the highest proportion of research themes in clothing construction. In terms of body type, there was an increasing tendency towards usage of 3D body measurement. In the patterns area, the 3D virtual dressing system was actively used. For functional clothing, sportswear, protective clothes, and innerwear were most widely researched, and ergonomic design together with smartwear was actively studied.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.37-51
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• 2008

The purpose of this study is according to four Seasonal Color system, the researcher analyzed the Korean Personal color and investigated abstract color preferences and the fashion color preferences to support the Korean color preferences and the rotor recognition trend. The study was conducted according to the following procedures: 144 women from 20s to 50s were selected as participants of the survey and the interview. The fashion color preferences and the personal body color was analyzed by the questionnaire and the interview. The data were analyzed by SPSS 12.0 program. As a way of analysis, crosstabs analysis, correlation analysis, t-test, ANOVA and regression analysis were used. As a results, in the Personal color type of Korean women, it is distributed in the order of spring, summer, winter and autumn. In addition, Light image is highly distributed in the Personal color image. People preferred summer color group in the general color preference and the cosmetic color preference and they preferred winter color type in the clothes color and the suitable color for themselves. In the color recognition, as the color interest increases, the coincidence between suitable color and favorite color increased. The recognition of suitable color, the consideration of color in purchasing and the interest of outward appearances were highly showed.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.8
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• pp.946-958
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• 2011

This study develops Korean Style Loungewear as a cultural fashion product. Through the use of surveys, Korean sentiments about Korean traditional clothing and Korean style fashion have been examined. The survey was conducted for 5,000 people in Korea; 3,500 responses of meaningful data were statistically analyzed. The data was processed by a SAS system; frequency and percentage were performed. It was found that Korean people have a high preference for Korean traditional clothing; however, they are not satisfied with its comfort, maintenance, or price. They answered that they would wear Korean style fashion if the design, comfort, and price were improved. They responded positively on the development of Korean Style Loungewear and its effectiveness as a cultural product. Based on the survey and basic geometric structures of Korean traditional costumes, silhouette designs of Loungewear have been developed. The designs are divided into one-piece styles and two-piece styles. The characteristic design details are git (Korean neckline) and goreum (Korean tie ribbon). The results have been shown on the "Han Style Fashion Show" by Jeonju City and exhibited in the "Seoul Living Design Fair" and the "International Art & Craft Trend Fair" in COEX, Seoul.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.378-391
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• 2017

The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.

• International Journal of Costume and Fashion
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• v.15 no.2
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• pp.63-77
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• 2015

By means of statistical analysis and module concept, this paper investigated the current situation of high school girl's uniform and put forward its improved design and database establishment. Combined with the survey data, the future design direction and trend of the high school girls' uniform were proposed. By using modular design concept, the uniform is divided into five modules, and a style database has been built. Meanwhile, the parametric pattern database has been completed by using garment CAD system, based on the style database above, which has 42,336 possibilities to assemble a pair of school uniform. Combining with digital sewing techniques and by using computerized embroidery machine, the personalized design of high school girl's summer uniform has been realized. And two simulated case have been given for examples to prove its feasibility. The idea of modular design and parametric design method proposed in this study offer references for establishing the modular design database and parametric pattern database for other types of school uniform and are of relatively high practical and theoretical value.

• Journal of Fashion Business
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• v.15 no.6
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• pp.176-203
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• 2011

In today's intensifying global competition, Korean fashion industry is relying on only qualitative data for feasibility study of future projects and developmental plan. This study was conducted in order to support establishment of a scientific and rational management system that reflects market demand. First, fashion market size was limited to the total amount of expenditure for fashion clothing products directly purchased by Koreans for wear during 6 months in spring and summer and 6 months in autumn and winter. Fashion market forecasting model was developed using statistical forecasting method proposed by previous research. Specifically, time series model was selected, which is a verified statistical forecasting method that can predict future demand when data from the past is available. The time series for empirical analysis was fashion market sizes for 8 segmented markets at 22 time points, obtained twice each year by the author from 1998 to 2008. Targets of the demand forecasting model were 21 research models: total of 7 markets (excluding outerwear market which is sensitive to seasonal index), including 6 segmented markets (men's formal wear, women's formal wear, casual wear, sportswear, underwear, and children's wear) and the total market, and these markets were divided in time into the first half, the second half, and the whole year. To develop demand forecasting model, time series of the 21 research targets were used to develop univariate time series models using 9 types of exponential smoothing methods. The forecasting models predicted the demands in most fashion markets to grow, but demand for women's formal wear market was forecasted to decrease. Decrease in demand for women's formal wear market has been pronounced since 2002 when casualization of fashion market intensified, and this trend was analyzed to continue affecting the demand in the future.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.105-115
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• 2015

This study aims to compare the ease of men's single-pleated pants patterns, and to analyze the fit and appearance through the 3D virtual garment system. The researchers selected five(four educational materials and one industrial pattern) slim-fit single-pleated pants which is the current fashion trend in menswear. The CLO 3D Modelist program was utilized to carry out the appearance evaluation through virtual wearing, opacity, and clothing pressure. The results showed that D pants had the greatest ease on the waist circumference, while C pants had the least ease. The E pants had the greatest ease on the hip circumference, then B pants and C pants showed less ease. Also, the E pants had the longest on the pants length, then D pants showed the shortest. In the appearance evaluation, A pants received the most favorable results, followed by D, B, E, and C pants, in descending order. The clothing pressure appeared to be mainly red on the waist, crotch, and hem in all pants, so the clothing pressure was high. From the results, we can understand that each of the 5 single-pleated pants patterns has different ease amount and silhouette.