• 한국의류산업학회지
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• 제24권1호
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• pp.117-126
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• 2022

This study aims to analyze the sizing information of women's ready-to-wear pants as indicated on online retail websites and to suggest better sizing communication that can assist customers in making successful apparel size selections. We gathered size specifications and size reference information for basic straight pants from 34 online apparel retail websites. Although the Korean standard recommends labeling the body dimension-based sizing code and specification, most websites preferred to use various types of sizing codes. Body measurements were only used by a few websites, and garment dimension descriptions were the most common method to indicate product size. Many websites provided size reference information through customer review boards and fit model images, however, there was insufficient body size information to allow customers to infer the fit of their body type. When using the size guidance tools, the major data input points were stature and weight measurements. However, the waist measurements of pants sizes guided only by stature and weight values revealed inconsistent ease allowance for corresponding body size populations, especially in the overweight group. Based on our findings, we propose a more effective method of communicating the size information of pants online. We expect that this will contribute to the efficiency of online apparel product display and build a better shopping environment that satisfies both sellers and consumers.

• 한국의류학회지
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• 제46권5호
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• pp.805-826
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• 2022

This study explored the process by which consumers purchase products from small fashion business owners via online and mobile channels. In addition, group types were classified given that the purchasing process depends on the consumers' life cycle. The consumer focus group interview (FGI) was conducted on 18 participants that were divided into six groups by age, work, and children. Results revealed that first, consumer journey comprised four stages. Factors influencing need recognition were "attention to information of social media influencer," "attention to information of affiliated groups," and "repeated advertising of SME products/brands." For information searching, "exploring purchase reviews," "environment for mobile shopping information exploration," and "continuous product tracking" were important factors. Purchasing and shopping stages were affected by "price-free, improvised purchase decision" and "convenient mobile payment system and point benefits." After the purchase, "active sharing and repeated purchase when satisfied" and "blocking relationships when dissatisfied" occurred. Second, six consumer groups based on the fashion life cycle are the "Platform lover," "Influencer follower," "Trust builder," "Novelty seeker," "Convenience seeker," and "New designer supporter." Ultimately, small business owners can develop the process of planning and selling fashion products more efficiently.

• 한국의류학회지
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• 제45권6호
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• pp.978-985
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• 2021

This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through multiple linear regression analysis with a sample size of 573. The analysis constructs a model with an adjusted R² of 77.6%. Seven main factors affect the drape coefficient: Grammage, extruded length values for warp and weft (m_warp, m_weft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (c_warp, c_weft, c_bias), and force required for 1% tension in the warp direction (f_warp). Finally, an artificial neural network was created using seven selected factors. The performance was examined by increasing the number of hidden neurons, and the most suitable number of hidden neurons was found to be 8. The mean squared error was .052, and the correlation coefficient was .863, confirming a satisfactory model. The developed artificial neural network model can be used for engineering and high-quality clothing design. It is expected to provide essential data for clothing appearance, such as the fabric drape.

• 한국의류학회지
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• 제46권3호
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• pp.375-389
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• 2022

3D printing has been considered a key technology, leading the fourth industrial revolution. However, 3D printed textile still has a lot of limitations to overcome before it can be adopted as a clothing material in terms of design, flexibility and dyeability. This study aims to provide modeling design for imparting the flexibility and post-dyeing process for 3D printed textiles. The modeling types were designed to test the flexibility of 3D printed textiles. The post-dyeing process was evaluated through dye absorption depending on the resin and modeling types, respectively. The results were as follows: two types of modeling (Modeling A and B) were designed with a ring structure to test the flexibility of the 3D printed textiles. The 3D printed textiles with ring-based structure Modeling A had flexibility regardless of the hardness of resin types. In the dyeability test, softening resin (S-Resin) and hardening resin (H-Resin) were found to have good dyeability with acid dye and direct dye, respectively. The condition of S-Resin with acid dye and H-Resin with direct dye was controlled by dye absorption rate.

• 한국의류산업학회지
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• 제26권1호
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• pp.25-34
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• 2024

This study investigates consumer awareness and concerns regarding apparel sizing in the realm of online shopping. A survey was conducted with 450 women aged 18-59 who had engaged in online clothing purchases within the past year. It was observed that consumers shop for clothes online an average of 1.6 times per month, with those under 50 shopping more frequently. The importance of size is higher when buying pants than jackets, especially in online shopping compared to offline purchases. Key references guiding online shopping decisions encompassed product sizing codes, customer reviews, and garment dimensions, which were notably favored by consumers with significant concerns. Respondents opted for Korean-style sizing codes for jackets but chose inch-sizing codes for pants. While awareness of height and weight remains high, knowledge of specific body measurements crucial for clothing size design is lacking, suggesting inadequate communication of size information. Respondents prioritized specific areas for jacket and pants fit, yet the lack of comprehensive self-measurements beyond height and weight might present challenges in determining fit based solely on product dimensions. To address this issue, online retailers should display essential garment dimensions and visually suggest clothing sizes according to various body types. These findings provide valuable insights for online retailers to effectively present size information and lay a foundational framework for consumer size education.

• 한국의류학회지
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• 제21권6호
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• pp.970-976
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• 1997

Synthetic leather added collagen protein was coagulated in DMF solution. With increasing collagen concentration, thickness of synthetic leather increased. In addition, water vapor permeability and water vapor absoption increased with increasing collagen protein concentration. But MIU and SMD value of surface properties decreased with increasing collagen protein concentration. As a result, synthetic leather added collagen protein showed comfort and dry touch.

• 복식문화학회:학술대회논문집
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• 복식문화학회 2003년도 정기총회 및 춘계학술발표대회
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• pp.57-58
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• 2003

전 세계적인 온라인 이용의 증가는 대학에서 학생들을 가르치던 전통적인 교수법에 커다를 변화를 가지고 있다. 학생들은 정보의 이용이나 과제의 제작, 제출에 있어, 사이버 공간을 적극 이용하고 있으며, 이미 거의 모든 고등교육기관에서 수강신청, 강의 평가나 성적 조회 등은 온라인을 통해 이루어지고 있다. 또한 오늘날의 변화된 소비자인 학생들에게는 온라인 강의보조자료가 학습에 더욱 효과적이라는 연구결과가 보고되고 있다. (중략)

• 한국의류학회지
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• 제21권1호
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• pp.3-9
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• 1997

From the standpoint of end-use and practical performances, attention was focused preparing cotton fabrics which posses good dyeability as well as water repellency. The results are summarized as follows, as far as findings obtained from this study is concerned. The fluoro chemical (FC) water repellent finished cotton fabrics exhibited good dyeing properties and colorfastness to washing. Furthermore, the DMDHEU durable-press and FC water repellent finishes in a single pad bath resulted in excellent durable press performance and good water repellency.

• 한국의류학회지
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• 제25권3호
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• pp.569-576
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• 2001

The purpose of this study is to develop multifunctional fibers by sticking cinnamon microcapsules on cotton knit. The prepolymer was made from urea-formaldehyde for usage of wall materials of microcapsules. The parameters for adoptable condition are 5000rpm of agitation speed, 1% of dispersions concentration according to the observation with SEM and particle analyzer. The Antimicrobial activity of cotton knit treated with capsule was increased greatly and maintained on the laundering cycle.

• 한국의류학회지
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• 제22권1호
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• pp.139-148
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• 1998

This study was performed to develop the flare skirt pattern in CAD system by each of the textile's test. 1 made 28 flare skirts(360$^{\circ}$, length of 60 cm, straight gram at front ST side seam, 28 kind of textiles) and found the changes of skirt length. And I measured thickness, weight, density, drapability and bending in these textiles. Therefore, It analyzed these data and found it regression.