• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.775-786
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• 2011

This study examines whether there are differences in the evaluation of clothing products according to self-efficacy in purchasing clothes. A total of 300 surveys were distributed and 231 were used for analysis. The data were analyzed by regression and factor analysis. The results are as follows. First, there were significant differences in the product attributes considered according to self-efficacy in purchasing clothes. The consumers with high self-efficacy considered diverse product attributes comprehensively when making purchase decisions and had significantly higher score in perceived value and post-purchase satisfaction level than the consumers with low self-efficacy. Second, there were differences in the attributes of clothing products that effects perceived value according to self-efficacy in purchasing clothes. The attributes of 'clothes that I like' and 'necessary clothes' had a significant effect on perceived value for both consumers. The attributes of 'design that suits me' and 'inexpensive price' had significant effect on perceived value on consumers with high self-efficacy while the attributes of 'harmony with other clothes' had a significant effect on perceived value for consumers with low self-efficacy. Third, there were differences in product attributes and the perceived value that influenced post-purchase satisfaction level according to self-efficacy in purchasing clothes. The attributes of 'design that suits me' and perceived value had a direct effect on the post-purchase satisfaction level four consumers with a high self-efficacy. For the consumers with low self- efficacy, the attributes of 'clothes I like', 'necessary clothes', and 'design similar to that of usually purchased products' had a direct effect on post-purchase satisfaction level; however, the effect of perceived value was not found.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.795-809
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• 2021

The purpose of this study was first, to clarify the clothing benefits that Uzbek female college students seek through clothing products; and second, to determine whether there is a difference in clothing involvement and clothing purchasing behavior according to the type of clothing benefits. Data were collected from 290 female university students from Tashkent, Uzbekistan, and analyzed using factor analysis, K-means group classification analysis, ANOVA, Duncan test, χ²-test, and frequency analysis. Respondents were classified into four types according to their clothing benefits: individuality/economy-pursuit, comfort-pursuit, fashion/brand-pursuit, and indifference. Significant differences were identified in terms of clothing involvement, information sources, clothing evaluation criteria, clothing store attributes, clothing wearing conditions (including monthly clothing expenses), number of purchases per year, clothing purchase location, clothing preference style, and clothing dissatisfaction. The fashion/brand-pursuit and personality/economy-pursuit types were influenced more by fashion and symbolism of clothing involvement, information sources, clothing evaluation criteria, and clothing store attributes. The individuality/economy-pursuit type purchased more frequently, spent more monthly clothing expenses, and used the internet. Clothing store attributes were considered more important by female students than the other attributes. In these results, clothing benefits were identified as consumer characteristics of female Uzbek college students and market segmentation was determined. In addition, it is meaningful in providing basic data for efficient marketing activities and minimizing trials and errors in establishing local-friendly strategies for target customers in different cultures.

• Journal of Fashion Business
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• v.25 no.2
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• pp.18-33
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• 2021

This study sought to understand the clothing consumption values of male consumers and analyze the attributes of online fashion multi-brand stores. The study examined the effect of clothing consumption values of male consumers on the perceived attributes of online fashion multi-brand stores and use intention. The study also aimed to investigate whether online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and use intention. An online survey of male consumers in their 20s and 30s was conducted, and a total of 338 responses were analyzed. The SPSS 24.0 program was used to perform frequency analysis, factor analysis, reliability analysis, regression analysis, and stepwise-regression analysis. The results are as follows. First, fashionableness out of the four attributes of online fashion multi-brand stores (fashionableness, entertainment, variety, and scarcity) influenced the practical and conspicuous values of clothing consumption values. Entertainment had a significant effect on all clothing consumption values. Variety had a significant impact on practical and conspicuous values and the scarcity factor influenced epistemic and conspicuous values. Second, while entertainment, variety, and scarcity influenced sharing intention, fashion, entertainment, and variety influenced purchase intention. Third, online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and sharing intention but not purchase intention.

• Smart Media Journal
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• v.13 no.4
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• pp.57-64
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• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

• The Research Journal of the Costume Culture
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• v.9 no.6
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• pp.818-829
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• 2001

The purposes of this study were to segment the men in twenties and thirties according to clothing benefits sought, and to develop a profile of each segment concerning shopping orientation, self·image, and importance of store attributes. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, and MANOVA(multivarite analysis of variance). By cluster analysis of clothing benefits sought, three groups were identified and labeled as: (1) the group of focusing the influence of other people and comfort clothing(31.7%): (2) the group of pursuing the fashion trend (48.1%); the group of pursuing the individuality(20.1%). Three groups were then compared through MANOVA on shopping orientation, importance of store attributes, and self-image. Significant differences were found among three groups on three variables. In general, the group of focusing the influence of other people and comfort clothing tended to be ostentatious and tended to wear comfortable clothing. The group of pursuing the fashion trend didn't show specific shopping orientation and just liked to follow the current fashion trend. The group of pursuing the individuality enjoyed the shopping and liked to buy the clothing which enhances the personal character.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.5
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• pp.605-619
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• 2019

This study investigates the effects of fashion consumers' individualism collectivism propensity, social capital and Instagram usage propensity on evaluations for fashion influencer's attributes on Instagram. This study conducted a questionnaire survey of 20 to 30 year old male and female Instagram users. A total of 483 replies were submitted and 467 of the replies were used in the final analysis. The quantitative data collected through questionnaires were analyzed using reliability analysis using SPSS 18.0 while AMOS 18.0 was used to test the model fit and a structural equation modeling between the variables. The results indicated that vertical collectivism and vertical individualism were found to be related to relationship seeking propensity; only vertical individualism was found to be related to information seeking propensity. Furthermore, relationship seeking propensity and information seeking propensity were both related to the fashion influencer's attributes of professionalism, intimacy and attractiveness.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.652-662
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• 2000

Most of established study about consumer behavior was directly connected abstract value with concrete purchase behavior, nevertheless several recognizable process is intervened between abstract concept and concept behavior. Of course researchers suggest hierarchical causality through means-end chain model. However empirical study is insufficient. And it's not certain whether the consumer's personal value affects actual evaluation about product attributes. Thus the purpose of this paper was to explore hierarchical causality of personal value, benefits sought and clothing product attributes and to suggest an alternative approach method. For the empircial study the data sets were collected through 150 female consumers living in Pusan and SAS and LISREL VIII were used for statistical analysis. As the result, hierarchical causality suggested by means-end chain model was positively substantiated. That is, benefits sought is differentiated according to personal value, and actual product attributes are indirectly influenced by personal value through benefits sought. Benefits sought are found to be key mediating variables.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.3
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• pp.267-280
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• 2011

This study examined bag purchase behaviors for male consumers based on fashion attitudes. Data research were conducted on 304 males in their 20s and 30s located in Seoul & Gyeonggi province. The SPSS 17.0 software program was used to conduct data analyses such descriptive statistics, frequency analysis, factor analysis, cluster analysis, $X^2$-test, t-test, ANOVA, and Scheffe's test as a post-hoc analysis. The results of this study were as follows: Fashion attitude was identified with four factors personality, social recognition, practicality, and dignity. Customers were segmented into three subdivisions: conspicuous, recognition of individual style, and practicality of clothing. The factors derived from the factor analysis of selection criteria included intrinsic attributes and extrinsic attributes. Males in their 30s valued the intrinsic attributes and males in their 20s valued extrinsic attributes. The group of conspicuous of clothing, valued both intrinsic and extrinsic attributes as important. The factors derived from the factor analysis of bag pursuit benefit included pursuit of fashion/economic, famous brand, quality/convenience. Males in their 20s and 30s pursued famous luxury brands and fashion attitudes had a positive relevance to the bag pursuit benefit.

• Journal of Fashion Business
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• v.22 no.5
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• pp.15-31
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• 2018

The purpose of this study was to classify male consumers and examine their clothing consumption values and the perceived importance of store attributes. Using Internet-based research service, survey data were collected from 651 male consumers aged between 20 and 40. The questionnaire included questions regarding respondents' preference of different store types, clothing consumption values, perceived importance of store attributes. According to the results, the respondents were categorized into 5 distinct groups based on their store type preferences: discount store preference group, multi-channel preference group, store indifferent group, brand store preference group, online store preference group. Multi-channel preference group was the largest among these groups. The five store type preference groups statistically varied in clothing consumption values, i.e., epistemic value, brand/conspicuous value, and economic value. The groups also differed in the importance they placed in the store attributes of: service and product quality, promotion, fashionability, salesperson and store environment, store atmosphere, convenience, and website image. The results of this study have direct implication for retail marketers of fashion companies who are targeting male consumers. Marketers can apply findings of this study in implementing retail strategies for different types of stores.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.7
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• pp.907-921
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• 2013

This study shows the importance of human factors in relationship marketing by revealing the influence of Hanbok salesperson's attributes on relationship quality and long-term relationship orientation at the time when a culture is newly understood. A questionnaire surveyed 376 women living around the Seoul and Daejeon Metropolitan areas from February to March 2013. SPSS WIN 20.0 and AMOS 20.0 programs analyzed the gathered data. We review the influence of Hanbok salesperson's attributes (expertise, ethics, communication skill, customer orientation, similarity, and likeability) on relationship quality and behavioral intention. The research indicates that only customer orientation and Hanbok salesperson's expertise attributes influence relationship quality. All the attributes had a positive influence; in addition, the relationship quality had a significant influence on customer loyalty. However, communication skill, similarity, and likeability did not influence relationship quality. Customer orientation, which provides a customized service based on the recognition of individual customer trends and expertise in developing a relationship with customers, are important factors to form relationship quality and loyalty.