The purpose of this study is to conduct a visual evaluation of Korean and Chinese women on blue jeans and to compare the results. The stimuli are 9 samples: 3 variations of the silhouette and 3 variations of the color. The jeans were evaluated using a 5-point rating scale with 80 Korean and 80 Chinese students taking part. The data was analyzed by Factor Analysis, ANOVA, Scheffé Test and the MCA method. The study results are as follows; 1) According to the Factor Analysis, the components of visual image by the silhouette and the color of blue jeans were classified with 4 factors (sophistication, physicality, simplicity, and activity) from Korean women, and 3 factors (activity, physicality, and simplicity) from Chinese women. 2) As a result of one-way ANOVA and Scheffé verification, the common point in the evaluation between Korean and Chinese women is that blue jeans have a big difference in complex, intense, and colorful image depending on the color in the order of skinny, straight, and bell-bottom silhouettes. In other words, blue jeans with the bell-bottom silhouette have complex, intense, and colorful images in all blue tones, but blue jeans with straight and skinny silhouettes have these images only in dark blue. 3) The difference is that Korean women evaluated blue jeans in the order of skinny, bell-bottom, and straight silhouette, and there is a big difference in the image that looks sophisticated, cool, and purchase intention depending on the color. It was evaluated that silhouette and color have a similar effect on the image that make legs look long, tall, and slim. On the other hand, Chinese women evaluated that blue jeans have a big difference in free, comfortable, and active images depending on the color in the order of skinny, bell-bottom, and straight silhouette. It was evaluated that silhouettes have a greater influence on the image that make legs look long, tall, and slim than color; in the order of bell-bottom, straight, and skinny silhouettes.

This study aims to enhance understanding of the second-hand clothing market by classifying consumer groups based on purchase motivations while analyzing differences in purchasing behavior and repurchase intentions among university students. A survey was conducted with 112 students who had purchased second-hand clothing within the past six months. Factor analysis identified five key motivational dimensions: economic value, design differentiation, environmental concern, investment utility, and habitual behavior. Based on economic value and design differentiation, participants were classified into four distinct consumer groups: "rational style seekers", "value-driven pragmatists", "premium design enthusiasts", and "functional necessity-driven consumers". ANOVA and Duncan's post hoc test revealed significant differences in repurchase intentions among these groups. Notably, those with a strong design differentiation motivation particularly rational style seekers and premium design enthusiasts exhibited significantly higher repurchase intentions. This study intended to derive a sustainable growth strategy of the used trading market by deepening the consumer perception of used apparel market. These findings underscore the effectiveness of psychological and behavioral segmentation strategies in the second-hand clothing market and highlight the need for marketing approaches that emphasize emotional satisfaction and individual style expression over simple price competitiveness.

This study aims to develop sportswear specifically tailored for the "New Senior" generation. This demographic, consisting of baby boomers, is known for leading an active lifestyle based on economic stability and good health. The research investigates the specific demands for sportswear among New Seniorsand aims to develop products that incorporate functional fabrics and designs. Through surveys and focus group interviews, the study analyzed consumer needs, created prototypes, and improved products based on wear sensation evaluations. The findings indicate that New Seniors prioritize functionality, such as sweat absorption, elasticity, and antibacterial properties, while also placing importance on aesthetics. This study provides a strong foundation for designing customized sportswear for New Seniors and highlights the potential for growth in the sportswear market in an aging society.

This study aimed to investigate changes in consumer acceptance according to the degree of image transformation by presenting visual stimuli of progressively altered face images using generative AI technology. Analysis revealed that the level of transformation significantly influenced various affective responses, including visual appeal, perceived realism, emotional reaction, trust, and brand association. As the degree of transformation increased, consumer responses showed nonlinear patterns. Images transformed at levels 2 to 4 most effectively maintained a balance between realism and creativity, receiving consistently positive evaluations in terms of emotional engagement, visual appeal, and trust. These images were identified as the most effective for enhancing emotional receptivity and persuasive power across practical contexts, such as brand content, social media advertising, and web-based communication. In contrast, images with transformation levels above 7 demonstrated high visual originality but significantly lower perceived realism and trust, making them less suitable for conveying messages grounded in real-world brands. Differences in emotional sensitivity and acceptance thresholds also emerged depending on the age and gender characteristics of the image. Notably, older-aged images were sometimes interpreted positively in terms of individuality or symbolism, even at moderate transformation levels. These findings suggest the need for a strategic approach that considers both the degree of transformation and the characteristics of the target image when applying generative AI in visual communication.

With the rise of digital-native generations, launching an independent brand has emerged as a viable career path among fashion majors. In this context, the linguistic construction of brand identity has become an essential strategy, especially for early-stage fashion startups seeking to communicate their values to consumers, investors, and partners. This study aims to analyze how global fashion startups strategically express their brand identity through language, focusing on the official website texts, including About, Brand Story, and Mission Statement. The research examined 34 global fashion startups founded between 2013 and 2022. Text mining techniques, including frequency analysis, TF-IDF, 2-gram analysis, topic modeling (LDA), and hierarchical clustering based on cosine distance were applied using Orange3 and Python. Results revealed that while terms like material, design, and sustainable were common across brands, each category highlighted distinct keywords aligned with their identity and values. Topic modeling identified five dominant themes, including sustainability, artistic expression, and circularity. Cluster analysis classified brands into four language strategy groups, such as emotion-driven design brands and impact-oriented future-focused brands. These findings demonstrate that even in early-stage communication, fashion startups strategically design brand narratives through language to convey identity, build emotional connections, and distinguish themselves in a competitive market. This study contributes to understanding brand language as a core asset in fashion branding and offers a data-driven framework for analyzing identity-building in startup communication.

This study investigated the sales status of all-in-one padding products for dogs and conducted a survey of companion dog owners who owned the products to analyze product usage, experience, and purchasing behavior. Product-related data were collected online (Google), and a survey was conducted with 50 companion dog owners at offline locations, such as pet grooming salons and pet cafes. The analysis results are presented below. All-in-one padding products for dogs come in various sizes from XS to 5XL. Even within the same size, dimensional variations were large, and it was analyzed that size consistency between products was insufficient. The products' fabric composition was predominantly composed of nylon and polyester. While some products clearly labeled their outer fabric, lining, and filling according to the 'KS K 0210' standard, many products did not adhere to this standard, leaving their material information unclear. Most products are recommended to wash cold with water, use a laundry net, and use neutral detergent. High-temperature washing, using a dryer, and using alkaline detergents are prohibited. Online purchases (46%) were the most common method of purchase, with a high proportion of respondents using both online and offline purchases (30%). The overwhelming majority of respondents said they wore the products for 'physical health (cold protection/maintaining body temperature)' at 82%. When making a purchase decision, the most important factors considered were design (46%), price (26%), material and brand (10%), and washability (6%). 66% of respondents rated care information, including fabric material and washing instructions, as 'average or higher.' Regarding washing methods, 80% of respondents reported using a laundry net and washing in a washing machine. The most common washing frequency, at 40%, was 'about once a month.' Others, at 20%, only washed once during the winter season, while 6% said they washed after every wear, revealing a clear difference in consumer perception.

With the acceleration of sustainable fashion and digital transformation, omnichannel marketing has emerged as a key strategy for enhancing the efficiency and impact of sustainable communication, attracting increasing attention from both academia and industry. Luxury fashion, in particular, due to its high added value and cultural influence, plays a central role in leading consumer trends and driving sustainable transformation. This study systematically reviews existing literature on omnichannel marketing and sustainable communication within luxury brands, aiming to analyze key research trends, limitations, and future directions. Based on 39 studies retrieved from the Web of Science and Scopus databases, the findings are as follows. First, most research focuses on sustainable practices in supply chain management, product design, and marketing communication. Second, in terms of communication strategies, luxury brands integrate circular economy models-such as rental and resale-with online and offline services to strengthen consumer engagement and brand responsibility. Third, thematic analysis reveals that digital channels, physical channels, and online-offline integration are core themes, with user experience and message consistency under the omnichannel framework becoming emerging focal points. However, despite growing interest, there remains a lack of systematic exploration of how luxury brands ensure consistent sustainable messaging across channels to guide behavioral change. Future studies may address strategies for cross-channel content consistency, the effectiveness of intercultural communication approaches, and consumer-oriented sustainable storytelling. This study offers a comprehensive synthesis of current research boundaries and core issues, providing a solid theoretical foundation for future academic and practical advancements in luxury fashion's omnichannel sustainable communication.

This study aimed to analyze visual emotional responses to leggings with different stripe configurations to inform user-centered compression wear design strategies. A total of eight leggings designs varying in stripe direction (horizontal, vertical, diagonal) and thickness (5cm, 10cm) were evaluated using front and back views. Participants assessed 22 emotional adjectives using a pairwise comparison method. Chi-square tests revealed statistically significant differences in design preferences across most adjectives, indicating consistent emotional associations with specific stripe types. Vertical stripes were generally preferred in front views for their perceived slimming effect and their association with sophistication and practicality, while diagonal stripes, particularly 45° angled, elicited stronger responses for dynamic impressions, such as rhythm, energy, and movement, especially on the back view. Principal component and cluster analyses showed that emotional adjective groupings varied between front and back designs, suggesting that visual exposure areas influence emotional perception. Additionally, normalized preference rates highlighted that thicker stripes may limit positive emotional impressions related to energy or excitement. These results underscore the importance of strategically considering stripe orientation and placement based on targeted emotional imagery and garment exposure zones. The findings provide practical implications for designing functionality and emotionally resonant sportswear and athleisure garments.

This study aimed to analyze the characteristics of the lower-body shape of middle aged adult males. The lower-body data of 752 middle aged adult males age 50 to 69 were obtained from the 8th Human Body Direct Measurement data of Size Korea. Thirty one direct measurements related to the lower body were chosen; four ratio indicies and two basic measurements were used. The analysis of data was done using SPSS 29.0. Factor and cluster analysis were used to classify lower body types. Factor analysis revealed four factors accounting for the middle aged adult male's lower body twenty four measurements. Factor 1 was the shape of obesity abdomen, Factor 2 was the shape of thickness of the leg, Factor 3 was the vertical dimension of the leg, Factor 4 was the hip length. Based on the scores from four factors the lower body shape of middle aged adult male was classified into four types. Type 1 had a thin waist circumstance, short hip length, Type 2 was the biggest abdomen and thin legs, Type 3 had a thick legs, the longest hip length, Type 4 was the longest leg length, a thick leg circumstance. Distribution of body type by age was, 50s were distributed the most type 4 and 60s were distributed the most type 1. Therefore, the lower body aging of middle aged adult male becomes noticeable in the 60s.

This study analyzes the 2024 operational performance of the Geumcheon Fashion Manufacturing Support Center and explores strategies to enhance the sustainable competitiveness of Seoul's fashion manufacturing industry. Historically, Geumcheon served as a central hub for Korea's apparel and sewing industry, but its competitiveness has declined due to rising labor costs, offshore production, and an aging workforce. To address these challenges, the center was established to provide production support and strengthen the regional industrial base. The performance analysis highlights three key outcomes: (1) improved production efficiency through CAM-based automated cutting services and shared equipment; (2) networking and entrepreneurial support by facilitating collaboration, business matchmaking, and entrepreneurial incubation; and (3) the evolution into an ecosystem platform that integrates production capability, entrepreneurship, and industrial connectivity. Based on these findings, the study proposes strategic directions, including smart manufacturing adoption, workforce renewal, network expansion, and sustainability-driven practices. These results suggest that the center has moved beyond its role as a facility provider and has become a pivotal platform for reinforcing Seoul's fashion manufacturing ecosystem.

This study proposes a method for digitizing visual characteristics with a focus on length variation in specially processed faux fur. Experiments were conducted on two types of fur representing the characteristics of the research material, and the specific results of the study are as follows. The irregularity of length changes can be expressed by utilizing the [Variance] function within the CLO 3D software. However, when length change occurs in a fur material that forms a specific pattern, the Length Map must be applied. The UV Map was suitable for accurately reflecting the length difference and the square Map was efficient for expressing the atypical pattern. In addition, by reflecting the contrast information extracted from the image of the real fur when making the map, it was possible to naturally implement an uneven fur length. In multicolored fur, grayscale maps were applied simultaneously to the Length Map and the Color Map to allow the more pronounced visualization of the length changes. In order to increase the precision of material expression, it is necessary not only to improve the user's skill level, but also to develop the function and secure flexibility of CLO 3D. This study lays the foundation for further enhancing the practicality and accuracy of digital fashion implementation.