• Journal of the Korean Home Economics Association
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• v.26 no.1
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• pp.21-31
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• 1988

The main problem of consumer behavior is choice since the outcome of me of a choice can only be known in the future, consumers are forced to deal with the risks of und\certainty. So, perception of risk is pivotal aspect of consumer behavior. This study was designed to investigate the relationships between purchasing behavior of textile and perceived risk. Data were obtained from 276 housewives. ANOVA, x2-test were employed to analyse the data. The result were : 1. general features of textile purchase behavior are as follows. Blend wools and pure wool products are prefered. Fall is the major season in purchasing textile. Wholesalers, department stores and agent stores are prefered. Purchasing decision making process independent upon not only textile itself but the practice value of the textile. Purchasing textile, married young women depend on outward shape of the textile, middle and old aged groups depend on the economic value of the textile and the credibility of the stores. 2. Perception of risk is relatively high in the preference of store, color/design, and psycological uncertainty. But the perceived risks is relatively low in brand, price and social credibility. 3. There is significant relationship between the recognition rate of risk and the sensitiveness of the consumer. In addition, there are strong relationship between the risk rate and the preference of shop, brand, and price. On the other hand, there are no significant relationship between the color, design, and sociopsyco-logical risk and demographic variables. 4. The perceived risk of consumer would be a key stone to grasp the consumer behavior. The product company needs to provide full information which could reduce the perceived risk of consumer. there attitude would help for the mutual interests. In the future research, we need to develop the precise methods for finding variables on the perceived risk during the process of making purchase intention.

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.756-765
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• 2014

Customer-company (C-C) identification is the perceived fit between the identities of a consumer and an organization. If a consumer identifies with a company that places a high priority on being socially responsible, a consumer who also values social responsibility may support and patronize that business because of the link between something that is important to both them and the company. Because C-C identification may explain the success of cause-related marketing (CRM) in the fashion industry, we investigated the effect of an image resulting from CRM on ratings of brand attributes (e.g., distinctiveness, credibility, attractiveness), identification with the brand, attitude toward the brand, and customer loyalty. Participants also responded to open-ended questions reflecting their rationale for their ratings of brand attributes. Data were collected from a convenience sample of undergraduates (n = 228) enrolled at Midwestern University in the U.S. Structural equation modeling revealed that as ratings of the social responsibility of the cause-related marketing effort increased so did perceptions of the brand's distinctiveness, credibility, and attractiveness. Participants identified with a brand when they rated the brand as attractive. Participants' identification with a brand had a significant impact on attitudes toward the brand and customer loyalty (e.g., purchase intention, willingness to spread positive word-of-mouth). Content analyses of open-ended responses supported the idea that brand images stemming from CRM exert an important influence on consumer's ratings of brand attributes. Fashion marketers interested in cause-related marketing will find success with efforts that increase customer identification.

• Journal of the Korean Data and Information Science Society
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• v.10 no.1
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• pp.271-277
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• 1999

In this paper, a case study is introduced on the development of an inventory management system for the textile industry. For the low-cost and high-efficient production, a systematic management is needed from make-to-order to delivery. In this paper, an integrated inventory management system for the D company is developed to manage the whole information related with make-to-order, production, delivery, and inventory, and so forth.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.363-373
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• 2016

This study aims to develop an all-fabric integrated smart jacket in order to create a temperature-regulating system based on a user experience design. For this research, previous research technologies of a textile switch interface and a temperature-regulating system were utilized and a unifying technology for the all-fabric integrated smart jacket was developed which can provide the appropriate temperature environments to the human body. A self-heating textile was applied at the areas of the back and hood in the final tested jacket, and an embroidery circuit was developed in the form of a rectangle in the back and in both ears of the hood, taking into account the pattern of the jacket part where it was be applied and the embroidery production method. The textile switch interface was designed in a three-layer structure: an embroidery circuit line in a conductive yarn, an interval material, and a conductive sensing material, and it was made to work with the input and output sensors through the multiple input method. After the all-fabric integrated smart jacket was produced according to the pattern, all of the textile band lines for transmission were gathered and connected with a miniature module for controlling temperature and then integrated into the inside of the left chest pocket of the jacket. After the users put on this jacket, they were asked to assess the wearing satisfaction. Most of them reported a very low level of irritation and discomfort and said that the jacket was as comfortable as everyday clothing.

• The Korean Nurse
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• v.15 no.5 s.85
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• pp.59-71
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• 1976

This study is to describe the accident that have occured for two years (1974 and 1975) in a textile company by 7 selected variables which could be classified as follows: 1) Sociodemographic variables(ie Sex, Age) 2) Work experiences and work environment (

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.743-753
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• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.602-613
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• 2009

This study aims to improve the fit of middle and high school girls' uniforms. This study researched on the sizing system reflecting their body figures. The results are as follows. First, to classify the middle and high school girls' figures, factor analysis, and cluster analysis were conducted. 4 factors were extracted for upper body of the middle school girls, and 5 factors were extracted for the highschool girls. For the lower body, 3 factors were extracted for both the middle and high school girls. The middle school girls were then divided into 4 groups for the upper body and 4 groups for the lower body. The high school girls were divided into 4 upper and lower body groups. Third, KS size intervals were used for frequency distribution of height and bust for the bodice, height and waist for the lower body. Sizing system of the uniform company and the frequency distribution of sizes were compared. As a result, sizing system of the uniform company and the frequency distribution overlapped very little. Fourth, sizing system considering body type distribution and high frequency distribution of sizes was suggested. As a result when 6 sizes were suggested 30% of the population was covered, and when 11 sizes were suggested 55% of the population was covered.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.445-452
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• 2009

This study aims to improve the fit of high school girls' uniforms. This study researched on the fit of the recent high school girls' uniforms and developed a sizing system that adequately reflects their body figures. The results are as follows. First, the research showed that over 50% of the highschool girls wore their blouses too tight, whereas over 60% of the girls wore skirts that were appropriately fitted. Second, to classify the high school girls' figures, factor analysis and cluster analysis were conducted. 5 factors were extracted for upper body and 3 factors for the lower body. The girls were then divided into 3 groups for the upper body and 4 groups for the lower body. Third, KS size intervals were used for frequency distribution of height and bust for the bodice, height and waist for the lower body. Sizing system of the uniform company and the frequency distribution of sizes were compared. As a result, sizing system of the uniform company and the frequency distribution slightly overlapped. Fourth, sizing system considering body type distribution and high frequency distribution section of sizes was suggested. As a result, for the upper body, when 6 sizes were suggested, 43.9% of the population was covered and when 11 sizes were suggested, 58.3% was covered. For the lower body, when 6 sizes were suggested, 32.2% was covered, and when 11 sizes were suggested 58.9% of the population was covered.

• The International Journal of Costume Culture
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• v.12 no.2
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• pp.129-140
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• 2009

In this study, the effect of innovativeness of external networks on the corporate innovativeness and innovation performance were explored based on web survey data collected from 230 manufacturing companies. Specifically, according to the manufacturers' business categories divided by the technology level, three groups such as advance technology (electronic/IT), mid- to high technology (automobile/machine), and low technology (textile/clothing) companies were investigated to find out which external network influences corporate innovativeness and innovation performance. In the result, textile/clothing companies were not different in company size, history, and innovation effort from advanced technology and mid- to high technology companies. Collectively, the innovativeness of external networks affected corporate innovativeness and innovation performance. In the result by a business category, innovativeness and innovation performance of textile/clothing companies were affected by the innovativeness of competitors, whereas automobile/machine companies in the mid- to high technology group were affected by suppliers. In addition, advanced technology (electronics/IT) were affected by buyers and competitors. These differences suggest that the way to use vertical networks toward upstream (e.g., suppliers) and downstream (e. g., buyers) as well as horizontal networks toward competitors can be different by the business category of manufacturers. The result would provide implications for the academia and the industry.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.163-173
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• 2006

It is frequent to develop the fashion product through predict purchasing needs of consumers in Textile and Fashion Industry. If failed in its prediction, that is, if consumers would not purchase the product, there comes some problems that big sale is inevitable or stock increase tremendously. Otherwise, Quick Response System allows that the company observe the consumer's needs consistently and design products and establish manufacture schedule rapidly so that they could prohibit the products unnecessarily stocked. Consumer's preference is collected and analyzed through the data generated by POS system, and this is provided to the related manufacturer through network in realtime, so that the manufactures could merchandise, produce and provide the products according to the consumer's need. Thus, this study developed POS system-education program, that is, the merchandising of apparel product, product by prediction, retailer, purchase behavior, reduction in stock inventory and product lead time, cooperative system between apparel company and retailer, and conformation to the consumer's needs are included in this program, through binding the new technology in textile and fashion industry for the purpose of Quick Response system.