• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

• The International Journal of Costume Culture
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• v.4 no.3
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• pp.171-181
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• 2001

The Purpose of this study first was to establish the concept based on the existing convention theory, and classifies the types of industrial aspect, and cultural and artistic aspects. Based on it, the relative importance of structural elements of the fashion convention industry is analyzed to fashion conventions in the industrial aspect. The research applies Delphi technique, it is applied to experts in the fashion convention industry in two rounds. Re result is as follows ; First, exhibitions and collection of the fashion convention industry are classified into five groups by examining their main types and main targets. Second, in fabric·material exhibitions, the procedure, personnel and communication have relatively equal importance on the whole although facilities are considered most important. in clothing·fashion exhibitions, the procedure has by far a high level of importance unlike others. Third, comparing the second stage importance, it is shown that the event hall, pubic relations, professionalization of personnel, communication between the promoter and supporting organization are most important with a slight difference by type. Fourth, comparing the third stage importance, it is revealed that ten most important factors are the event location, publicity time, the size·number of event halls customer handling , expertise, publicity media, friendliness, facilities, Publicity Publications, and business competence.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.38-47
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• 2016

This research analyzes the influence of mobile commerce characteristics on consumer's purchase intention using a theoretical Technology Acceptance Model (TAM) constructed on previous studies and a review of the literature to explain the effect of mobile fashion shopping characteristics on consumer's purchase intention. In constructing structural equation model, Mobile commerce characteristics variables such as 'security', 'enjoyment', and 'personalization' were selected as external variables affecting TAM. A questionnaire was distributed to consumers in their 20's-30's who had purchased fashion products using a mobile shopping channel. Statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using Amos 19.0 package were employed for the analysis of 453 effective data responses. The results were as follows. First, extended TAM was shown be the appropriate model to explain the influence of mobile commerce characteristics on consumer's purchase intention in mobile fashion shopping. Second, 'security' had a significant positive influence on perceived usefulness (PU), however it affected perceived ease of use (PEOU) negatively. Third, 'enjoyment' had a significant influence only on PEOU, while 'personalization' was found to affect both PEOU and PU significantly. Fourth, PEOU affected PU significantly. Finally, both PEOU and PU had a significant influence on consumer's purchase intention.

• The Research Journal of the Costume Culture
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• v.23 no.2
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• pp.228-241
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• 2015

The purpose of this study was to verify the effect of mobile fashion shopping characteristics and perceived interactivity on perceived usefulness, and the effect of perceived usefulness on purchase attitude and purchase intention based on TAM (Technology Acceptance Model). We conducted the survey targeting smartphone users in their 20s~30s living in Seoul and metropolitan area. Among 483 data collected, we used 452 samples except 31 unreliable respondents for the analysis. To analyze the structural equation model, we did factor analysis, reliability analysis, and structural equation model analysis using SPSS 18.0 and AMOS 16.0. The results were as follows: We confirmed 5 mobile fashion shopping characteristics (enjoyment, credibility, instant connectivity, security, and personalization) and 3 perceived interactivity factors (control, responsiveness and two-way communication, and contextual offer) as results of confirmative factor analysis. Mobile fashion shopping characteristics and perceived interactivity had positive effects on perceived usefulness. Mobile fashion shopping characteristics affected perceived interactivity and also had indirect effect on perceived usefulness via perceived interactivity. In other words, mobile fashion shopping characteristics had direct and indirect effect on perceived usefulness. Perceived usefulness influenced purchase attitude and purchase attitude influenced purchase intention. Perceived usefulness had direct effect on purchase intention and the indirect effect through purchase attitude was significant.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.408-417
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• 2022

This study developed a structural model to examine the relationships among consumer traits, self-brand connections, and purchase intentions for local fashion brands under "Guochao" consumption in China. An online survey with a self-administered questionnaire was undertaken through Chinese SNS tools to collect the data. A total of 276 usable responses were obtained from Chinese consumers who are residents in China. More females(n=174, +63%) than males (n=102, 37%) participated, and they were aged from 18 to 45 years old. The measurement model was confirmed to be reliable and valid. In the estimated structural model, the consumer traits of ethnocentrism and cultural affinity positively affected the self-brand connection, leading to purchase intentions for the local fashion brands. Specifically, the ethnocentrism factor indirectly affected the purchase intentions by mediating the self-brand connection, while the cultural affinity factor had significant direct effects on purchase intentions. Thus, a partial mediating effect of self-brand connection was found in the relationship between the consumer traits(ethnocentrism and cultural affinity) and purchase intentions of local fashion brands in the cultural "Guochao" consumption context. This study provides insights into extending the cultural theory of ethnocentrism relevant to self-brand connections and discusses the managerial implications for developing strategic global branding in the Chinese fashion markets.

• The Research Journal of the Costume Culture
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• v.15 no.4
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• pp.726-736
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• 2007

The purpose of this study was to identify VMD structural elements of apparel stores, and related variables. The related variables are contained shopping orientation, store types, consumer satisfaction and the intention to purchase in apparel stores. The data was collected from a questionnaire conducted on 378 female adults and was analyzed by frequency analysis, factor analysis, cluster analysis, ANDVA, regression, Duncan test, and reliability analysis. The results were as follows: (1) VMD structural elements of apparel store consisted of four factors: coordination/fitness, fashionability, attractiveness, and functionality. Shopping orientation consisted of six factors: recreational, rational, fashion oriented, convenience oriented, price conscious, and brand conscious. Shopper types consisted of four groups: recreational type shopper, economic type shopper, high involved shopper, and convenience oriented shopper. (2) Significant differences were find out between those shopper types and VMD structural elements. Significant differences were find out between store types and VMD structural elements. (3) VMD structural elements(coordination/fitness, functionality, fashionability) were influenced consumer satisfaction and the intention to purchase.

• Journal of Fashion Business
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• v.14 no.2
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• pp.166-178
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• 2010

The purposes of this study were to investigate the impacts of interactivity, site stickiness, and switching barrier on intention to use. For this purpose, the study tested covariance structural model which set relationships among independent variable(interactivity), meditated variables(site stickiness and switching barrier), and dependent variable(intention to use). The data were collected from a sample of 239 internet shopper of college female students. The covariance structural model and research hypothesis analyzed by using SPSS 16.0 and AMOS 5.0 program. The results are as follows: First, the structural model is accepted significantly. Second, interactivity had a positive influence on site stickiness, switching barrier, and intention to use. And it was found to have a indirect effect on intention to use through site stickiness and switching barrier. Third, site stickiness had a positive influence on switching barrier. Forth, site stickiness and switching barrier had a positive impact on intention to use.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.60-67
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• 2010

The purposes of this study were to investigate the impacts of shopping value, customer satisfaction, and switching barrier on consumer loyalty to website. For this purpose, the study tested covariance structural model which set relationships among independent variable(shopping value), meditated variables(customer satisfaction and switching barrier), and dependent variable(website loyalty). The data were collected from a sample of 239 internet shopper of college female students. The covariance structural model and research hypothesis analyzed by using SPSS 16.0 and AMOS 5.0 program. The results are as follows: First, the structural model is accepted significantly. Second, shopping value had a positive influence on customer satisfaction and switching barrier. Third, shopping value, shopping satisfaction of customer, and switching barrier had a positive impact on website loyalty. Forth, shopping value had a positive impact on website loyalty directly, it was found to have a indirect effect on website loyalty through customer satisfaction and switching barrier.

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.112-118
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• 2020

This paper examined the water repellency, water proofing and water vapor permeability of twelve types of woven fabrics for sports wear clothing. Their physical properties were compared and discussed with the fabric structural parameters and surface finishing effect. A water repellent property of 100% was obtained in the coated or laminated water repellent finished fabrics; in addition, cotton/nylon breathable composite fabrics treated with a laminated finishing and with low fabric density showed a 90% water repellency. Water proofing fabric above 6,000 mm H₂O hydraulic pressure was achieved by coated or laminated finishing; however, high density fabric or medium-level coated fabrics exhibited 100% water repellent and low water proofing characteristics. Superior water vapor permeability characteristics with good water repellency and proofing properties were achieved at the 2.5 layered low density and with 0.7 - 0.9 cover factor nylon fabrics treated with hydrophilic laminated finishing. The regression analysis for examining the effects of fabric structural parameters and surface finishing such as coating and laminating to the water vapor permeability exhibited a high determination coefficient of fabric structural parameters of 63.5%; in addition,, main factors among fabric structural parameters appeared to be cover factor and fabric thickness per weight. Coating and Laminating factors exhibited determination coefficient of water vapor permeability parameters of 36.5%.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.417-426
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• 2009

This study is to examine the structural relationships among store choice attributes, consumption emotion, relationship quality, and loyalty of Outlet. The data were collected from customers who have purchased clothing at the fashion outlet stores, For data analysis and structural equation model were analyzed by using LISREL. The subjects were male/female consumer experienced in purchasing clothes at fashion outlet stores. The results of this study are as follows: First, product, advertising, and instore atmostphere had significantly positive effect on consumption emotion. Second, consumption emotion had significantly positive effect on relationship quality(consumer's satisfaction and trust) and loyalty. Third, relationship quality(consumer's satisfaction and trust) had significantly positive effect on loyalty.