Fashion & Textile Research Journal 

About: Fashion & Textile Research Journal is an academic journal published by The Society of Fashion and Textile Industry. The journal publishes majorly in the area(s): Dyeing & Clothing. It has an ISSN identifier of 1229-2060. It is also open access. Over the lifetime, 1429 publications have been published receiving 3425 citations. The journal is also known as: Fashion and textile research journal & Fashion & textile research journal.

The Effect of Environmental Values of Fashion Consumers on Purchase Satisfaction and Repurchase Intention of Eco-friendly Fashion Products

Abstract: This study analyzes how the environmental values of fashion consumers influence the purchase satisfaction and repurchase intention of eco-friendly fashion products. The survey was conducted from June to in 2009, and 343 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The results show that the environmental values is classified by environment conservative value, economical value, social altruistic value, and egocentric value. The social altruistic value of fashion consumers affects purchase satisfaction of eco-friendly fashion products. The social altruistic value, environment conservative value, and egocentric value affect the repurchase intention of eco-friendly fashion products.

Based on the Perspective of Sustainability, the Characteristics of Upcycle Fashion Design

Abstract: "Sustainability" and buzzword as in many areas of products produced and studies in progress, in situations of domestic "green fashion" of the Progress and identify problems and advanced in value sustained growth that can be done fashion design, the future of the gauge view there is need. For the purpose of environmental protection and resource conservation of the eco-fashion trend, "recycling" of the low-growth, emphasizing the ethical responsibility to pursue by the aesthetics may be limited in terms of avoided. Environment, most notably an "issue" fashion emerged as a growing, destroying a temporary fashion trend as a "recycling" of the limitations and pro-technology and design of the added value of recombinant and advanced recycling design trends, attracting attention "upcycle" Case of the aesthetic value and spiritual value of the designer by giving understanding and a new aesthetic values to the area you want to raise the possibility of extension.

Technical Design of Tight Upper Sportswear based on 3D Scanning Technology and Stretch Property of Knitted Fabric

Abstract: This research studied how to develop tight upper sportswear from 3D scan data considering fabric stretch property. Subjects were five Korean men of average figure in their 20's. Scanning was done for ten postures via vitus smart/pro(Techmath LTD). Analyzing from 3D scan data, more than 70% of the upper body surface showed surface change rate under 20%. It was shoulder and under arm side part that showed most noticeable body surface change when moving. A parametric model with convex surface was generated and flattened onto the plane, resulting 2D pattern. The error rate occurring in the process of 3D to 2D conversion was 0.2% for outline and 0.13% for area, respectively. Thirteen kinds of stretchable fabrics in the market were collected for this study. Stretch property was in the range of 16.0~58.2% for wale direction; 23.1~78.4% for course. Based on wear trial test, four fabrics were chosen for making the 1st exper- imental garment and finally one fabric was chosen for the 2nd one, which was developed applying 4 kinds of crosswise reduction rate on 2D pattern: 0, 5, 10, and 15%. Through wear trial test and garment pressure measurement, exper- imental garment applied with 10% pattern reduction rate was evaluated as most comfortable and considerable.

패션브랜드의 이미지 기반 sns에서 해시태그의 이용동기가 고객소셜참여와 브랜드 자산에 미치는 영향: sns 참여도의 조절효과를 중심으로

Abstract: Hashtag has emerged and become one of cultural trend. Given that more and more firms in the fashion industry are using hashtag on images based on SNS to provide information of their products and to communicate with their customers. Especially, hashtags through voluntary participation of users provides the perspective of how customers consume their products. Therefore, this study focused on the using motives of hashtag in image based SNS with customer social participation as mediator towards brand equity. The purpose of this study is (1) to investigate the usage motivation of hashtag of image contents based SNS, (2) to expose how each usage motive affects customer social participation and (3) to find out how customer social participation has an effect on brand equity. In order to achieve the objectives of this study, first we conducted an in-depth interview on 8 image based SNS heavy users to understand the using motives of hashtags. Furthermore, we conducted online surveys amongst people aged between 20s and 30s of image contents based SNS users. As a result of this study, followings were figured out. First, four of usage motivation of hashtag were examined through in-depth interview and previous studies; interest sharing, social interaction, ease of use and enjoyment. Second, usage motivation of hashtag has a significant effect on customer social participation. Third, customer-media participation and customer-customer participation impact positively on brand equity. Lastly, level of customer social participation has the moderating effect on the relationship between motivation of hashtag and customer social participation.

Influences of Consumers' Fashion Innovativeness and Technological Innovativeness on Attitudes and Buying Intention toward Smart Clothing

Abstract: Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.