• Journal of the Korean Society of Costume
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• v.59 no.6
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• pp.16-28
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• 2009

This study examined relationship among fashion product attributes of schoolbag, product satisfaction and repurchase intention. Total 315 questionnaires were distributed to the female/male students in Daegu and GyeongJu. Frequency analysis, factor analysis, reliability analysis, multiple regression were conducted using SPSS 13.0K statistics program as data analysis. The independent sample t-test was also conductd to examine the differences among sex, domicile, middle and highschool students. The findings hum the analysis are described in the following: First, female students is higher subjective fashion product attributes(fashion, individuality, refined) and objective fashion product attributes(design, color) importance than male students in purchasing schoolbag. High school students is higher subjective fashion product attributes(fashion, individuality) and objective fashion product attributes(brand, color) importance than middle school students in purchasing schoolbag. Second, product satisfaction are positive influenced by practicality and individuality of subjective fashion product attributes. Product satisfaction are not influenced by fashion and refined of subjective fashion product attributes. Third, product satisfaction are positive influenced by brand and design of objective fashion product attributes. Product satisfaction are not influenced by price and color of objective fashion product attributes. Forth, repurchase intention in schoolbag are strong positive influenced by product satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.727-736
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• 2005

The purpose of this study was to identify the new fashion brand evaluation attributes influenced by risk perception and its relationship with information search. As for the method of the research, questionnaires were given to 311 consumers who just finished shopping at new fashion brand stores. The results of this study were as follows: 1) New fashion brand evaluation attributes consisted of five factors; product experience attributes, celebrity credence attributes, product search attributes, brand credence attributes, salesperson search attributes. 2) New fashion brand evaluation attributes were found to be significantly influenced by risk perception. 3) The amount of information seeking and the use of information sources were found to be significantly related to the new fashion brand evaluation attributes. 4) The variables influencing on the new fashion brand evaluation attributes were age and monthly clothing expenses.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1100-1111
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• 2001

The purpose of this study was to develop fashion On-line store attributes for fashion On-line shopping mall and to identify significant On-line store attributes, influencing consumers'purchase intention of interned fashion product shopping. A questionnaire was administered to 456 adults who had purchasing experience at fashion On-line shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, $X^2-test$, t-test, frequency, percentage, one-way ANOVA, multiple regression analysis were utilized. The results were as follows; 1. The On-line store attribute dimensions of fashion On-line shopping mall were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. 2. The purchase experienced consumers showed higher purchase intention of Internet fashion product shopping and highly perceived about all sub-factors, except reputation. in On-line store attributes that have significantly positive influence on fashion On-line shopping attitudes. The purchase experienced consumers showed more favorable attitudes toward Fashion On-line shopping than non purchase experienced consumers. Attitudes toward Fashion On-line shopping have directly impact on purchase intention of Internet fashion product shopping.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.533-542
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• 2013

Fashion products are frequently purchased on impulse and are also one of the most popular product categories sold online. Online environment attributes can facilitate flow experiences that are described as an optimal psychological state reached during an engagement in activities (e.g., games and e-shopping). This study estimated the path model to examine the causal relationships among shopping mall attributes, flow, e-impulse buying, and consumer satisfaction for fashion products. A total of 598 usable questionnaires were obtained from college students who had purchased fashion products through the Internet. Data were analyzed by exploratory factor analysis, confirmatory factor analysis, and path analysis using SPSS 18.0 and AMOS 18.0. The results showed that e-shopping mall attributes (visual attributes and product attributes) significantly influenced e-impulse buying (fashion-oriented impulse buying and promotion-oriented impulse buying) which was mediated by the consumer flow experience and then influenced by consumer satisfaction. In the path model, the flow was stimulated by shopping mall attributes, the e-impulse buying was influenced by flow, and the consumer satisfaction was influenced by e-impulse buying. Flow was the most highly related to the fashion-oriented impulse buying, and followed by the relationship of the flow and promotion-oriented impulse buying in the context of e-shopping for fashion products. A managerial implication was discussed for fashion product e-retailers to develop strategies on visual attributes and product attributes that could stimulate and increase the consumer flow to trigger impulse buying as well as consumer satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.158-166
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• 2016

This study investigates the impact of fashion product attributes and mobile shopping mall attributes on impulse buying behavior and mobile shopping satisfaction. The findings provide new information to marketers on marketing strategy for mobile shopping malls. We obtained 283 usable questionnaires from college students. Data were analyzed by frequency analysis, correlation analysis, factor analysis using SPSS for Window 21.0 and confirmatory factor analysis and structural equation model analysis by AMOS 21.0. The results were as follows. The utility of fashion products attributes had the greatest impact on impulse buying behavior when buying fashion products in a mobile mall. Utility had a negative effect on impulsive buying behavior and exhibitionistic had a positive effect on impulsive buying behavior. Next, continuous management of mobile shopping mall attributes influenced impulse buying behavior. In addition, impulse buying behavior showed that the positive effect on satisfaction. Fashion product attributes had a greater impact on impulsive buying behavior than mobile mall properties when buying fashion products in the mobile mall; in addition, impulse buying facilitated customer satisfaction.

• Journal of the Korean Society of Costume
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• v.66 no.5
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• pp.1-15
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• 2016

Within globalization of fashion business Korean culture is affecting fashion business. Although Korean culture is creating new content and economic value presently, the research on Korean fashion culture has been limited. Therefore, this study has identified attributes influencing cognitive, affective response as well as consumer preference and purchase towards contemporary Korean culture clothing. This study aims to do the following: (1) examine the effect of the identified contemporary cultural apparel product attributes on cognitive, affective response (2) Analyze the effect of cognitive, affective response on preference and purchase intention (3) Determine the relationship between preference and purchase intention. This study result defines the importance of studying contemporary cultural apparel product attributes for better fashion marketing business in the fashion and cultural field to attract consumers.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1150-1163
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• 2016

This study makes use of meta-analysis to statistically integrate the quantitative results of individual research on the influence of fashion product attributes on purchase; in addition, this study utilizes the effect sizes of correlation coefficients. This study was based on 24 individual studies from January 2000 to March 2015. The meta-analysis analyzed 91 effect sizes and 24 studies and calculated the correlation coefficient effect sizes. A random effect model was employed for meta-analysis because the results for the homogeneity test indicated that the effect sizes of each research were heterogeneous. The analysis results are as follows. First, when the total effect sizes of the fashion product attributes that influence clothing purchase decisions were calculated as .256; this indicated that the effect size is slightly below the mid-sized level. Second, upon examining the effect sizes of the categorized fashion product attributes, the intrinsic attributes yielded .222, extrinsic factors yielded .235, and the compiled attributes yielded .420; this demonstrated that the compiled attributes have a larger effect size than individual attributes. Third, when they were measured by the characteristics of study targets, they were larger for a mixed-gender group than women as well as for ordinary citizens than university students. When the effect sizes were measured based on the characteristics of fashion products as suggested in the study, there were significant differences with respect to sportswear, followed by SPA brand clothing, general clothing, fashion accessories, and designer clothing. The cases where the clothing were purchased in non-retail stores were found to have a slightly larger effect size than those of offline retail stores when the effect sizes were measured based on purchase routes; however, the difference was not statistically significant. Next, an investigation of the trend of effect sizes based on published year via the meta regression analysis indicated slightly larger effect sizes as shown in more recent publications, but this was not statistically significant.

• Journal of Fashion Business
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• v.16 no.4
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• pp.75-87
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• 2012

This study was to investigate the conversion intent of fashion store among college undergraduates. The conversion intent in internet shopping mall and local store was associated with store attributes and relationship quality. A random sample of undergraduate students completed a questionnaire that contained measure of Store attributes, Relationship quality, Conversion intent of fashion store. The results revealed that store attributes of local store were store comport/salesman service, product diversity, store location, price and the store attributes of internet shopping mall were product diversity/easy of navigation, store reliability, screen configuration, sales promotion. Also, the result founded that the conversion intent of fashion store is related to store comport/salesman service in local store and is related to product diversity/easy of navigation, screen configuration, promotion in internet shopping mall. Relationship quality is highly effected of the conversion intent of local store and internet shopping mall. We expect that this research results can be used as a basic material for another study and setting up the marketing strategies in fashion store.