• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.950-961
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• 2004

This study was attempted to examine consumers＇ pursuing benefits and satisfaction at outlet store, to analyze the differences of pursuing benefits and satisfaction at outlet store among the consumer groups segmented by the pursuing benefits, and to provide useful information for establishment of marketing strategies. The subjects were 500 female consumers experienced in purchasing clothes at outlet non. For analysis of questionnaires, $\chi$$^2$-test, ANOVA, cluster analysis, factor analysis, and Duncan＇s multiple range test were performed. The results were as follows: 1. Pursuing benefits at outlet store were composed of 6 factors: store＇s atmosphere, variety of products and brands, service and reputation of store, product quality, location＇s convenience, and price. Consumers were segmented into three groups by above 6 factors: product pursuing group, store convenience pursuing group, and price pursuing group. 2. Satisfaction at outlet store was composed of 5 factors: product, atmosphere, service and reputation of store, location convenience, and price. Satisfaction at outlet store such as service and reputation of store, location＇s convenience, and price were significantly different among the segmented groups. Product pursuing group was most satisfied with service and reputation of store, store convenience pursuing group was most satisfied with location＇s convenience and price, and price pursuing group was most satisfied with price. 3. The demographic variables such as an age, marriage, occupation, academic background, and total income were significantly different among the segmented groups.

• The Research Journal of the Costume Culture
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• v.18 no.5
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• pp.1017-1030
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• 2010

The purpose of this study is to investigate learning desire based on the interests, application of clothing and textiles in Technology Home Economics curriculum of middle school. For this research, a questionnaire survey was conducted to 404 middle school students living in Seoul and Kyunggi areas. The data was analyzed by frequency, descriptive statistics, Cronbach's ${\alpha}$ coefficient, one-way ANOVA, and Duncan-test using SPSS 14.0. The conclusions of this study are as follows: First, the perception of middle school student for Technology Home Economics was low. Students were interested not in the clothing and textile education but in getting dressed specially, and purchasing of clothes. Second, the more interested in the area of clothing and textiles, the higher is the application of apparels coordination, apparel purchase, and apparel management. And the more interested in the area of clothing and textiles, the higher is the desire in class contents. Therefore, teaching-learning methods should be developed to improve middle school students' interests, and applications in the clothing and textiles.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.11-24
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• 1992

The purpose of this study is to investigate the present states and preferences for a type of campus wear, the differences between the life-style variables and clothing behavior among school uniform students and non-uniform students, to explore variabels of the purchasing tendency in clothes of boys' and girls' high school students. The questionnaires were administered to samples of four boys' and girls' high schools respectively in Kwangju. The data from 522 respondants were analyzed in using Frequency and T-test. The results were as follows: 1. Most of schools are likely to take a school uniform system in the near future but students do not have favorable attitude against the system. 2. There were partly significant differences between the clothing behavior variables (boys : psychological dependence, comfort and atmosphere of the store, girls : downtown shopping) among school uniform students and non-uniform students. 3. There were partly significant differences between life-style variables(boys : leadership and social attitude, advertisement confidence, girls : price consciousness) among school uniform students and non-uniform students. 4. About 80% of the subject group planned their clothing purchase in advance, and their parents and friends influenced on clothing buying behaviors more then other fashion information sources, however, for the boy students the atmosphere of the store is most affecting variables. The store in which the subject group purchased clothing most frequently was a specialty fashion store. In clothing selection, aesthetic factors were showen as important factor and the most affecting mass media is TV.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.349-360
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• 2019

This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.1-16
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• 2022

To develop functional workwear for fishing, this study investigated the working conditions, inconveniences and problems associated with workwear, and functions required for workwear. A questionnaire was used for the study, and SPSS 26.0 was used for the analysis. In total, 124 fishermen participated in this survey (ages: 53.2 ± 11.9), consisting of 84.7% males and 15.3% females. The number of participants whose work experience was more than 10 years and less than 20 years was 46, accounting for 37.1%. Most fishing industry was in danger of getting hit by machinery or clothes. Fishermen preferred two-piece style workwear, and a waterproof fabric was the most important factor considered while purchasing the workwear. Their discomfort while moving in their workwear was attributed to the stretching of their hips, thighs, crotch, and knees when lifting their legs or squatting. Preferences depended on the type of fishery and the age of fishermen. Protection was emphasized for aquaculture fishing, while the activity was emphasized for capture fishing. People in their 50s emphasized the protection provided by the workwear, while others emphasized the activity. In the future, substantial research is necessary to develop workwear that reflects fishermen's requirements.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.141-153
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• 2022

This study tried to understand the structural relationship of consumer characteristics on consumer emotions and satisfaction in online shopping. First, consumer characteristics derived various tendencies through previous studies. Next, consumer emotion was defined as positive and negative emotions in the six purchasing processes from information search to use, and satisfaction was defined as the overall satisfaction of the purchasing experience. To this end, this study measured consumer satisfaction and positive/negative emotions in the six consumption processes in their 20s and 40s with online clothing shopping experience within the last month. Finally, structural equation modeling(SEM) was conducted. As a result, the model fit was good, and impulse purchase tendency, conspicuous consumption tendency, innovation tendency, and trendy shopping tendency only affected negative emotions. On the other hand, it was confirmed that information search tendency, hedonic shopping tendency, and economic shopping tendency directly affect positive emotions and indirectly affect consumer satisfaction. Through this, implications for improving the consumer experience in online shopping were presented by identifying consumer characteristics and enhancing consumer emotions.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1479-1490
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• 2010

This study provides basic data for the development of jacket patterns which reflect designs corresponding to the body shape features and preferences of obese women in their 20s and 30s by understanding problems they may encounter in wearing a ready-made jacket by researching the reality of ready-made tailored jacket wearing and their design preferences. A survey was conducted by sampling 82 obese women (over $25kg/m^2$ BMI) between the ages of 20 to 39. The details of the survey consists of general information, interest rate and importance rate on clothes, reality of wearing and purchasing jackets, measurement fits per each part, and preferred designs. SPSS 14.0 was used to analyze the data. The results showed that 76.8% of obese women wore their jackets less than 5 times a month. Those in the 20s wore the jackets more frequently than those in the 30s. The reasons for not wearing jackets frequently included uncomfortableness in activities and unavailability of the correct size. A total of 55% of the total preferred the fitting to be relatively smaller than the body size or tightly fitting. Although in the past, there was a tendency to wear a loose fit to cover the body shape, currently even obese body shapes avoided the loose fit as the tight fit is the trend. In terms of the satisfaction rate for the measurements per each part of jackets, there was a low satisfaction rate for most of the items. For the circumference items such as waist length and chest size, people responded that they were too small and for the length of items such as the length of jacket and sleeve length, people responded that they were too long. This was because the readymade clothes brands increase the length of items and circumference items in uniform in the same intervals when producing large sizes. Both those in the 20s and the 30s preferred a tight fit. In terms of preferred fabric, a wool/spandex mix was most popular and then cotton/spandex. This shows that they prefer those fabrics which allow an excellent activity while maintaining the exterior well. In addition, they preferred black color with no patterns because they wanted their body size to look reduced and did not want to receive any attention.

• Journal of Fashion Business
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• v.1 no.2
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• pp.55-64
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• 1997

This study adapted OSL (Optimum Stimulation Level) to induce the customer's behavior, especially customer's fashion behavior. The purpose of the fashion advertisement was to accelerate the purchasing desire for the clothes by catching the customer's attention. OSL is one of the methods. OSL can satisfy customers' desires using the new stimulation that reveals a customer's individual characters. In general, women are more concern about fashion and sensitive to the clothes of new fashion than men. But nowadays, many of the men are also concern about their appearance and fashion. The differences between men and women in fashion behavior and in each factor, of OSL, especially a relationship between OSL factor and fashion behavior are researched in this study. Such differences analyzed to find the sources that can satisfy their various desires. This study was expected to provide good information to plan advertising strategy in unpredictable market situation. The subjects for this study were 308 male and female university students. Mehrabian and Russell (1974),s ASTS(Arousal Seeking Tendency Scale) was adapted to measure the OSL, and twenty questions regarding fashion leadership and clothing importance released by Kwon, Shin, Lee, are adapted to measure the fashion behavior. An ANOVA was used as statistical analyzing method to find out the difference between men and women in fashion behavior. The relationship between fashion behavior and difference between men and women in OSL factors were measured by MANOVA. Conclusions were as follows; 1. In consciousness degree of fashion leadership and clothing importance in the fashion behavior, women were higher than men. 2. There was a difference between men and women in OSL's each factors in "unusual stimuli" and "sensuality", but there is no significant statistical difference in factors of "change", "risk", "new environment". Therefore women are higher than men in the stimulation level of "unusual stimuli" and" sensuality". 3. Low element of OSL relating to fashion behavior is from "change" and "unusual stimuli". 4. For the relationship between OSL and fashion behavior, fashion leadership and clothing importance were recognized better in the group of higher level of "change" and "unusual stimuli" irrespective of sex. In the case of "change" which is one of OSL factors, High OSL groups were higher than low OSL groups in the consciousness level of the fashion leadership and clothing importance. In men's case, High OSL-Change groups were higher than Low OSL-Change groups in the fashion leadership, but there was no difference between two groups in the consciousness of the clothing importance. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no significant difference between two groups in the clothing importance. In women's case, High OSL-Change groups were superior to Low OSL-Change groups. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no difference between two groups in the clothing importance.

• Journal of Korean Home Economics Education Association
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• v.21 no.3
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• pp.65-81
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• 2009

The purpose of this thesis was to analyze shopping orientations of adolescence and to understand the reasons of their dissatisfactions in purchasing garments at so-called internet malls. This study was to provide basic information helpful in clothing study by finding out dissatisfactory factors of adolescence purchasing clothes through internet malls. This survey was done among 273 students of 3 junior-high schools and 3 high schools within the boundary of Seoul and its suburb area, among which 265 of them were qualified as legitimate survey. The results were as follows. First, the youth shopping trends were divided into the 5 categories according to the basic trends. And the 5 categories were 'Convenience seeking', 'Peer-assimilating', 'Personality/trend worshipping', 'Passive and inactive', and 'Thrifty' The survey represented that girls showed higher garment assimilating rate and made better economic choices than boys did. The survey also showed that the highschool students used internet shopping mall in order to seek better prices. furthermore, the primary targets of the juvenile internet shopping were shoes and garments, which includes both upper and lower clothing. Second, The dissatisfaction factors of internet shopping were the 'Mismatch of the goods in the screen and those of the real life', 'Exchange/Refund', 'Qualify', 'Desigin and color', 'Shipping', and 'Size' in order of biggest to the smallest. The dissatisfaction rate was higher among the groups of 'Thrifty', 'Personality/Trend worshipping', 'Convenience seeking', girls and highschool goers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.