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http://dx.doi.org/10.5805/SFTI.2014.16.4.645

Consumer Needs and Pattern Sensibility of Jacquard fabrics for Raincoat  

Kim, Jeong-Hwa (Dept. of Clothing and Textiles, Chungnam National University)
Lee, Jung-Soon (Dept. of Clothing and Textiles, Chungnam National University)
Publication Information
Fashion & Textile Research Journal / v.16, no.4, 2014 , pp. 645-652 More about this Journal
Abstract
This study identifies consumer needs and a pattern sensory evaluation of jacquard fabrics for raincoats using quick-drying-absorbing polyester. We investigate the consumer's consciousness and raincoat improvements. Twelve kinds of jacquard fabrics were developed for use in this study. Developed jacquard fabrics were assessed subjectively by 152 university students using a 7-point scale of 26 consumer needs and 31 pattern image sensory descriptors. Data were analyzed by SPSS. The major results were: There was a need for consumers to improve the front fastener type, cuff fastener, mesh patch position, and raincoat pocket position. The most important parameter to choose raincoat fabric was waterproof and the other parameters were vapor-porous/water repellent, design, color, fashionability, air-permeability and easy-put on/off. The pattern image sensibility of jacquard fabrics was explained by seven factors: gorgeous, simple, cute, futuristic, ethnic, feminine, and cool. A higher pattern preference was found in the jacquard fabrics of unique, sporty, natural, luxurious, and trendy images. The pattern preference was predicted at 45.3% with gorgeous, simple, pure, cute, futuristic factors. The correlation coefficient between the pattern image sensibility factor 1 (gorgeous) and pattern preference was 0.674 and with factor 3 (cute) was 0.416, and with factor 6 (cool) was 0.209. The 4 factors (gorgeous, simple, cute, futuristic) were selected as a significant pattern image sensibility that influenced preference.
Keywords
consumer needs; pattern sensibility; preference; jacquard fabrics; raincoat;
Citations & Related Records
Times Cited By KSCI : 13  (Citation Analysis)
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