Fashion and Textiles最新文献

This study explores consumer behavior and decision-making in the context of blockchain technology (BT) adoption within the second-hand luxury market. Specifically, it investigates how BT can reduce uncertainty and enhance transparency in second-hand luxury transactions based on a mental accounting theory approach. A partial least squares structural equation modeling analysis (N = 511) was conducted, focusing on consumers’ perceived quality of traceable information obtained through BT (i.e., product diagnosticity, informativeness, and trustworthiness) and their perceived risks in second-hand luxury online shopping (i.e., financial risk, social risk, time risk, contamination risk, performance risk). The findings confirm that the perceived quality of traceable information enhances blockchain transparency, reducing uncertainty in online second-hand luxury shopping. This leads consumers to perceive BT-enabled platforms as valuable, increasing their intention to adopt them. The study also examines the moderating effect of price consciousness on consumer perceptions of BT and decision-making. The results of the multi-group analysis confirm that consumers with lower price consciousness are more influenced by the diagnosticity provided by BT in terms of product transparency, while for consumers with higher price consciousness, trustworthiness emerges as a more significant factor. This research offers insights into the application of blockchain technology in the second-hand luxury market, particularly in enhancing transparency and consumer trust. It emphasizes the importance of retail strategies that communicate the advantages of BT and alleviate consumer risks associated with the online second-hand luxury market while recognizing consumers' varying levels of price consciousness.

Global demand for K-Fashion has paralleled the rise and fall of numerous South Korean firms. Drawing on the corporate life cycle and news priming theories, this study explores how online news on insolvent K-Fashion firms shapes the stock market’s business cycle. In Study 1, we conducted dynamic topic modeling to analyze 35,960 news articles from 2010 to 2022. The findings revealed three categories of chronological topic changes, including sales performance improvement strategies, organizational restructuring, and the impact of global fashion labels. In Study 2, we employed multiple regression analysis to measure how insolvent K-Fashion firms’ news and macroeconomic factors affect the clothing firms in the Korea Composite Stock Price Index. The results demonstrated that equity disclosure, bankruptcy, Samsung C&T’s governance changes, and business diversification significantly influenced the stock market index. Integrating both natural language processing and structured data in this study offers practical insights to fashion firms and stock market investors.

The use of plant-based agents in textile finishing has garnered substantial global interest, primarily driven by growing environmental concerns. However, applying natural pigments and finishing agents in industrial processes poses notable challenges, particularly with respect to achieving sufficient color intensity and retaining functional properties during washing and light exposure. To address these challenges, this study investigates the potential of ultraviolet (UV) light treatment in textile finishing as a method to enhance functional properties. Cotton fabrics treated with chestnut shell extract—recognized for its bioactive compounds—were subjected to UV irradiation for predetermined periods to induce curing effects. The treated fabrics were then evaluated for color intensity, surface morphology, and functional properties. Results revealed that UV exposure significantly enhanced both color intensity and functional properties, including antibacterial and antioxidant capabilities. Optimal results were achieved after 40 min of UV irradiation, beyond which improvements plateaued. Importantly, this study demonstrates that UV irradiation alone provides sufficient energy to achieve the desired functional enhancements, thereby eliminating the need for additional heat-curing steps and efficient functional wet-process for cotton fabrics with agro-waste ‘chestnut shell’ extract was achieved.

The need for personalized protective footwear for patients undergoing cast surgery has led to this research exploring efficient 3D printing methods for custom-made products. Focusing on these patients, this study developed and evaluated a prototype for a custom-made protective cast shoe, demonstrating the practical applicability of 3D printing in this field. The study developed a cast shoe sole using a multi-material printing method with TPU (ThermoPlastic Polyurethane) and ABS (acrylonitrile butadiene styrene). Each prototype's design was tailored based on individual body data, incorporating features like a 3D printed toe cover and a lock to enhance user convenience. The external design of each prototype cast shoe was customized to the participant's cast shape and design preferences. Participants reported that the prototype provided stability and improved cast protection. It was also positively evaluated for usability aspects like weight reduction, mobility, and comfort. Regarding aesthetic satisfaction, the custom-made design received high ratings. In response to the feedback, the final prototype incorporated various improvements to enhance comfort and aesthetics. The prototype cast shoe also considered elements like ventilation, weight reduction, and shortened production time, achieved by including specific patterns in its upper part. This research proposes a 3D printing-based efficient production method for custom-made products, highlighting their practical applicability from a user perspective. This study is significant for bridging the gap between academic research and practical application in the field of 3D printing.

The sports bra plays an important role in providing adequate support and minimizing breast movement to prevent exercise-induced discomfort, pain, and potential damage. However, there has been limited investigation into the evaluation of sports bras specifically designed for senior females. Therefore, this study was conducted to identify key multi-criteria for evaluating the design attributes of sports bras for senior women. Another aim was to systematically and numerically assess sports bra performance based on human perceptions. To achieve these objectives, the Delphi study was employed to identify key criteria, and the Analytic Hierarchy Process was utilized to rank the importance of both design attributes and sports bra styles. Unlike traditional evaluation methods, this study stands out by first identifying the multi-dimensional criteria for sports bras and then assessing intangible perceptions based on both subjective and objective feedback. The results indicate that the top three important criteria for subjective self-evaluation were overall support, shaping effect, and tactile sensation. Meanwhile, the top criteria for objective third-party evaluation were appearance, underband stability, and fit. Furthermore, the findings suggest that the long-shirt encapsulation-style sports bra, featuring a high neckline and a double back layer, was more suitable for senior women than the other three styles tested. This design provides ample support, an excellent shaping effect, sufficient back support for maintaining good posture, and freedom of movement during physical activities. These findings can inspire designers and manufacturers to develop sports bras tailored specifically for senior women by combining optimal attributes and design features.

This study investigates the digital transformation trends in the Korean fashion industry over the past decade, focusing on business models, processes, services, products, and customers. Using bibliometric and big data analyses, we examined articles from journals listed on the Korea Citation Index (KCI) from 2014 to 2023. It was revealed that the five factors are not independent but are complementary and interconnected. Keyword frequency and network analysis revealed key themes, including the increasing influence of the metaverse on business models and the significance of “recognition” in digital processes for fashion practitioners and designers. “Hanbok,” “Non-Fungible Token,” “Virtual Reality,” and “experience” were notable in services, while “COVID-19” and “3D” emerge as central product discussions. Consumer discussions highlighted “Millennials and generation Z,” “experience,” and “value.” This study provides a comprehensive overview of digital technologies in fashion, offering insights into current trends and future directions. It contributes to the theoretical understanding of digital transformation in fashion and offers practical guidance for industry professionals.

A basic study was conducted to manufacture conductive composite threads for use in textile-type electrodes and circuits for smartwear that can be sewn, embroidered, and knitted. The two-types of poly(ethylene terephthalate(PET) filament with a circular cross-section(SD), and an oval cross-section and curved surface(DT), and the conductive yarn was selected as a silver-coated polyamide(AP). The samples were produced two-ply PET yarn as the first twist, then using AP as the second twist, and both processes were applied with 100, 200, 500, and 1,000 TPM. As the number of twists increased, the packing density of samples increased, and the bulkiness of DT was decreased. In addition, the elongation at break tended to increase as the number of twists increased, especially for samples manufactured with DT with a curved surface appeared larger. The linear resistance results increased as the number of second twists in which the conductive yarn was twisted increased. It was confirmed that the area of AP exposed to the outside was more prominent in SD-AP, resulting in decreased linear resistance. Based on the results, samples that have the excellent mechanical and electrical performance were selected to manufacture textile-type electrodes that embedded leg sleeves to measure the surface electromyography(sEMG) signal collection performance. The signal-to-noise ratios(SNR) of textile-type electrode manufactured by SD - AP and DT - AP were 4.54 and 14.96, respectively, confirming the possibility of collecting EMG signals. Thus, this study is expected to be applicable to a wider range of fields than smartwear.

In recent years, significant advancements have been made in smart and multifunctional materials through the integration of 4D printing and shape memory polymers (SMPs). This article highlights key SMP fabrication technologies for 4D printing, focusing on the functionality of stimuli-responsive polymers. Bio-based thermoplastic polyurethanes are produced through the prepolymer polymerization method, with 100% bio-based polyester polyols, polypropylene succinate, and 1,3-propanediol by corn sugar. The resulting SMTPU, which contains bio-polyol in the soft segment, along with a chain extender and isocyanate (4,4-methylene diphenyl diisocyanate, MDI), demonstrates excellent shape recoverability even after significant deformation. Atomic force microscopy, Fourier transform infrared spectroscopy, and X-ray diffraction were employed to analyze hydrogen bonding, microphase separation, and crystallinity, providing insights into the interactions between hard segments (HSs) and soft segments (SSs), an extent of phase separation, and a proportion of hydrogen-bonded urethane groups. The tensile strength of 15–21 MPa, elongation between 534 and 585%, and a hardness of 82–85 Shore A were shown. This study further explores the sustainability and unique properties of SMTPU, making it well-suited for shape memory applications at different temperatures with varying hard segment content. The findings are expected to contribute to future innovations and advancements in the field of 4D printing.

Graphical Abstract

The purpose of this study was to investigate the thermal insulation of military boots using a thermal foot manikin, and to examine environmental and technical factors to determine their thermal insulation. Three Korean and four US military boots were chosen along with four occupational boots. All measurements were conducted at air temperatures of 21, 0, and − 5 °C with an airflow of < 0.15 m s⁻¹. The following two calculations of thermal insulation were compared: (1) a method using values obtained from all nine zones of the foot manikin [entire-zone method], and (2) a method using values from only zones covered by the boot [partial-zone method]. The results showed that the total insulation (I_T) of the 11 protective boots ranged from 0.9 to 1.2 clo per boot and no differences in thermal insulation across the three air temperatures were found. Thermal insulation had a significant and strong relationship with the thickness of the boot layer (r = 0.905, P < 0.001), whereas there was no relationship between the thermal insulation and the boot mass. The thermal insulation of military boots was 81% explained by the thickness of the boot layer alone, and 94% by both the thickness of the boot layer and boot mass (P < 0.001). Thermal insulation based on the partial-zone method was 26% greater than the values using the entire zone method. We proposed design strategies for military boots according to zonal power consumption.

Microwave-convection (MWC) drying was compared with hot air-convection (HAC) drying to elucidate the differences in the drying characteristics of fabrics based on the moisture type and drying performance. For a single fabric, free water removal was more effective with MWC drying, whereas HAC drying was better suited for bound water removal. For stacked fabrics, the moisture leveling effect of MWC drying enabled a uniform drying of the fabric, evaporating both free water and bound water. The dimensional change of MWC was lower than that of HAC, and the toughness and fiber morphology of the fabrics dried using MWC were comparable to those of untreated fabrics. Furthermore, MWC drying exhibited a higher energy efficiency with increasing fabric loads. The lower drying performance of HAC drying was attributed to the convection of hot air and the limitation of heat conduction. The findings of this study are expected to help develop automatic drying algorithms for household dryers.