• 한국의류학회지
• /
• 제22권3호
• /
• pp.374-383
• /
• 1998

Apparel Quality was one of the most important elements to evaluate the reputations of companies and products which affect the consumer's purchasing behavior. From researches on apparel quality, there was no common concept of quality as well as no common dimensions. The purposes of this study were to identify apparel quality concept and to classify the multi-dimensional concept of apparel quality. The research was carried out in theoretical as well as empirical studies. The theoretical study was conducted to find out apparel quality concept and divide apparel quality concept into four dimensions groups. The empirical study followed the theoretical study to confirm the multi-dimensional concept of apparel quality. The empirical study was investigated that the questionnaire was administered to 634 housewives in Seoul, Kwangju, and Busan during the fall of 1996. The data were analysed by LISREL analysis. This study identified that apparel quality was characteristics of consumer's desires for apparel. The results of the theoretical study verified that apparel quality concept was organized into four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance.

• 한국의류산업학회지
• /
• 제23권4호
• /
• pp.480-490
• /
• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• 한국의류학회지
• /
• 제33권4호
• /
• pp.634-643
• /
• 2009

The aim of this study was investigating the consumers' and apparel firm worker's awareness and reliability of the environmental friendly textile materials. The subjects of the questionnaire survey were general consumers(n=235) and workers at Korean apparel firms(n=236). The questionnaire was developed to measure the awareness and reliability on nine environmental friendly textile materials. The results showed that general consumers had a higher reliability on the function of the environmental friendly materials but had a lower awareness than the workers at the apparel firms. Women and subjects, who experienced in purchasing the environmental friendly products, had higher awareness and reliability of the environmental friendly textile materials than others. The workers at apparel firms had higher awareness of the environmental friendly textile materials than the general consumers, but the reliability on the function of the materials was relatively low. The reliability and awareness differed by the firms' major products and their jobs. The workers at the children's clothing firms and sportswear firms had higher level of awareness about the environmental friendly textile than the workers at the casual-wear firms. The workers' awareness on environmental friendly textile materials was differentiated by their jobs. The product developers and material buyers had higher awareness on the environmental friendly textiles compare to the workers of the sales or marketing division. These results imply that promoting environmental friendly textile material to the sales person is needed in order to increase the sales volume of the products.

• 한국의류학회지
• /
• 제31권11호
• /
• pp.1542-1553
• /
• 2007

Recently, the growing of the aging population resulting from the medical and science development has made the elderly consumer as a new market. The purposes of this study were 1) to examine the purchase behavior of apparel products and hairdressing services of elderly consumers, 2) to investigate the purchase behavior in the apparel store and hairdressing shop on lifestyle types. Data were collected from 853 women in their 50s and 60s living in Busan. Data were analyzed by frequency analysis, descriptive analysis, factor analysis, Cronbach#s alpha, Chi-square analysis, cluster analysis, one-way ANOVA and Duncan test using SPSS WIN 12.0. The results of the study were as follows: First. when elderly consumers purchased apparel product, they were likely to use credit cards, to shop alone or with friends at a department store, and to use the store as information source. In their purchases of hairdressing services, they tended to visit the near shop for a permanent service bimonthly and to depend on their past experiences for hairdressing. Second, elderly consumers were classified by the lifestyle into the Active self-fidelitist, Economy family-oriented, and Passive-stagnant. The purchase behaviors in the apparel store and hairdressing shop were different among lifestyle types. Implications were suggested for the consumer behavior researchers and retailers of the elderly fashion market.

• 복식문화연구
• /
• 제12권4호
• /
• pp.547-565
• /
• 2004

The purpose of this study was to evaluate the level of SCM activities and the logistics performance by SCM of the three company types in fashion industry· fabric suppliers, apparel manufacturers, and retailers. The level of SCM activities was estimated through the examination of seven factors: commitment and leadership of a top management, flexibility of management, understanding of demand characteristics, integrated management organization, information system, cooperative partnership and communication and exchange of opinion. The logistics performance was measured by improvement in customer service(on time delivery ratio of products, returning rate, treat ratio for A/S, order fill rate, substitute providing capability for being out of stock) and delivery cost reduction. Through questionnaire survey, a total of 214 data for 108 companies of three company types were collected: 46 for 40 fabric suppliers, 123 for 64 apparel manufacturers and 45 for 4 retailers. The analysis of SCM activity levels showed that fabric suppliers had higher degrees in the factor of understanding of demand characteristics, and apparel manufacturers had higher degrees in the factor of information systems. For retailers, the factor of communication and exchange of opinion represented higher degrees. The study on relationship between the SCM activity levels and logistics performance showed that the SCM activity factor of understanding of demand characteristics greatly improved a substitute providing capability for being out of stock in fabric suppliers, and information system improved a substitute providing capability for being out of stock, on time delivery ratio of products and order fill rate in apparel manufacturers. In retailers, the SCM activity factor of understanding of demand characteristics decreased returning rate highly and improved on time delivery ratio of products. The study results showed that SCM activities in fashion industry brought more improvement in customer service levels rather than in delivery cost reduction.

• 한국의류학회지
• /
• 제33권7호
• /
• pp.1086-1097
• /
• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.

• 복식문화연구
• /
• 제6권1호
• /
• pp.110-120
• /
• 1998

The purpose of this study was to compare consumers' evaluation, evaluation criteria and complaint factors on the department stores' private brand apparel with consumers' responses on the department stores' manufacturer brand apparel. 564 subjects were gathered in Seoul and Kyunggi province and, for data analysis, mean, t-test, ANOVA, Duncan test, Factor Analysis were conducted. The results are as follows; 1. Among the purchasing groups, there weer significant differences in apparel evaluation according to fabric, style, sewing, suitability, versatility, washability, price and color. 2. Among the purchasing group, there were significant differences in apparel evaluation criteria according to fabric, fashionability, sewing, brand name, department store' credibility. 3. The differences in complaint factors of apparel among the purchasing groups were due to factors such s high quality, variety, price and size. there were significant differences in complaint factors of apparel according to the subjects' age.

• 한국의류학회지
• /
• 제42권1호
• /
• pp.195-209
• /
• 2018

This study reviewed emerging trends in 3D technology adopted in apparel design research and product development for rapid prototyping and effective evaluation of product performance. Based on a literature review, the authors discussed technical advantages, practical merits and limitations, applications, and on-going developmental efforts of the following methodologies focusing on 3D body scanning and 3D motion capture, and 3D virtual fit simulation technologies. Such data-driven technical approaches observed in recent apparel design research and industry practice are expected to increasingly be adopted in the field to improve consumers' satisfaction with functionality, aesthetics, and comfort of a wide range of apparel products that include daily wear, sport apparel and protective clothing.

• 한국의류산업학회지
• /
• 제14권3호
• /
• pp.430-437
• /
• 2012

This study analyzed the sensibility of eco-friendly fabrics for college students and investigated their attitude on environmental problems, trust reliability onto eco-apparel products, and their purchase state. We tested 6 eco-friendly fabrics (recycled polyester, organic cotton, green tea, charcoal, bamboo, and nettle) through a survey using the Likert scale of 12 polar sensibility words. Most fabrics showed feelings that were smooth, natural, female, and country these were followed by fashion, cheap, functional, sustainable, warm, and vintage. In addition, nettle fabric showed 'rough' feeling, and recycled polyester fabric showed an 'artificial' feeling. Correspondence analysis showed the distance and direction between fabric types and sensibility words with a 2D diagram where the X axis was named with 'Soft <-> Hard' and Y axis was with 'Environmental <-> Manmade' to represent the relationship between fabric types and the sensibility words. According to the results of the multiple regression analysis, the cognition level of the consumer for environmental problems was found to be the most influential variable on the loyalty purchase of eco-friendly products; however, the trust reliability level of consumer onto eco-friendly apparel products was found to be the most influential variable on the conditional purchase of eco-friendly apparel products.

• 복식문화연구
• /
• 제15권1호
• /
• pp.1-12
• /
• 2007

The purpose of this study is to identify the SPA(Specialty store retailer of Private label Apparel) characteristics and product supply process of Korean casual apparel brands. The research was conducted by questionnaire surveys to 63 casual apparel brands. SPA characteristics of each brand were measured with four SPA characteristic indices: short product supply cycle, spacious retail floor, single brand retail store, and low product price compared to the quality of the product. The 63 apparel brands were grouped by SPA index score. The brands belonged to group H had high index score and brands in group L had low index score. The results of this study showed that the most of the casual apparel brands' products were sold at department stores, especially the brands belonged to group L greatly depended on department stores. Few apparel brands have spacious retail floor. The retail product price of the brands belonged to group H was low price while the product price of the brands belonged to group L was in the medium-high price. The supply time of the new products was short in general. The most brands supplied new styles to the retail floor within 1 to 3 weeks. The information technology was heavily used. The brands belonged to group H highly used information technology including bar codes system, pas data analysis, and inventory control system. The current style trends were analyzed with street fashion and feedback from the shop managers.