• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.1
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• pp.106-120
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• 2015

This study analyzed the effects of website and consumer's characteristics on price sensitivity as well as the effects of price sensitivity on repurchasing and switching intention. It ascertains differences in: website and consumer's characteristics, price sensitivity, and repurchasing and switching intention according to type of internet shopping mall. A survey was conducted from July 10 to August 20 in 2013, and 492 responses were used for data analysis. As a result, the reputation, ease of price search, and depth of product information positively influenced the price search and the interactivity of website characteristics positively influenced price importance. Product knowledge and information search of fashion consumers positively influenced price sensitivity. Also, the price sensitivity of internet fashion consumer positively influenced repurchasing intention. The price search positively affected the switching intention, while the price importance negatively affected the switching intention. Last, there were significant differences in the reputation, ease of price search, information search, price sensitivity, repurchasing and switching intention according to type of internet shopping mall.

• Journal of Fashion Business
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• v.24 no.6
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• pp.63-79
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• 2020

This study analyze consumers' unconscious visual attention to color and images of internet shopping malls by using eye-tracking method. Twenty-nine participants, including 15 females and 14 males, participated. The average ages of the male and female participants were 27.3 years and 27.7 years, respectively. Ten images of five layouts (multi-composition images, single-model images, gender-composed images, videos, and moving banner images) of internet shopping malls were shown on an eye-tracker computer screen. Quantitative analyses of the eye-tracking responses were conducted. SPSS was used to analyze the descriptive characteristics and to conduct an independent-sample t-test, along with an ANOVA. The data analysis showed that the image area generally had the shortest time to first fixation (TFF), the longest duration of fixation (DOF), the highest number of fixations (NOF), and the highest numbers of revisits(NOR).Notably, visual attention towards female models was high among various images. The results can be used to improve credibility and design online shopping layout with a scientific evidence that helps consumers through their purchase decisions.

• Journal of the Korean Home Economics Association
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• v.47 no.10
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• pp.39-49
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• 2009

The purpose of this study was to investigate Chinese women’s clothing purchase behavior and satisfaction for clothing made in Korea. Data was collected from Chinese women who had made purchases of Koreanmanufactured clothing using the Chinese online shopping mall named ‘TaoBao’. In total, the responses of 439 questionnaires were tabulated and analyzed using the SPSS program 12.0. Results were as follows: 1) Shopping motivation was classified based on two factors: transformation motivation and information motivation. Most Chinese women who purchased clothing made in Korea did so because of information motivation. Results showed that the place of manufacturing origin(i..e Korea) did not negatively impact Korean clothing products at this online shopping mall. 2) Purchase satisfaction was influenced by three factors: quality satisfaction, wearing/management satisfaction, and design satisfaction. Most Chinese women were satisfied with clothing made in Korea in terms of the design factor. 3) There were correlations among Chinese women’s shopping motivation and purchase satisfaction for clothing made in Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1866-1877
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• 2008

The purposes of this study were to identify the dimensions of perceived dissatisfaction, complaining behavior, and long-term orientation of customers about the Internet fashion shopping mall, and to empirically examine the effects of each dimension of perceived dissatisfaction and complaining behavior on long-term orientation. For this study, questionnaires were administered to 275 Internet shopping mall customer. To analyze collected data, descriptive analysis, factor analysis, Cronbach's $\alpha$, correlation analysis, and regression analysis were used. Major findings were as follows. First, college students were found to mainly complain of dissatisfaction at product quality, refunding/changing/maintenance repair, price, contract, delivery, and payment after transaction with the Internet shopping mall. Second, customer dissatisfaction was found to have high correlation with complaining behavior and partly with customer neglect or exit. Third, higher customer dissatisfaction was found to increase customer complaining behavior in general. Finally, higher complaining behavior was found to have connection with lower customer loyalty and higher customer neglect and exit.

• The Journal of Economics, Marketing and Management
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• v.11 no.1
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• pp.21-30
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• 2023

Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.149-169
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• 2006

As e-commerce is expanding rapidly, the consumer's damage in the e-commerce is also dramatically increased. This research was mainly focused on the consumer's damage experiences through the e-commerce, the consumer's behavior's when they were confronted with troubles, and the way to handle their damages in the e-commerce. This research was made with the intention of not only supplying the academic data on the consumer's damage but also understanding the consumer's basic behavior patterns in e-commerce. This research was supported by the surveys conducted to consumers who had previously experienced fashion e-commerce. Total 1230 questionnaires out of returned questionnaires were sampled for the final analysis. Main findings are as follows. 1) More than 90% of respondents answered that they had experienced troubles 2) Most consumers did complain their damages actively and tried to obtain proper cure from the seller.

• Journal of Fashion Business
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• v.5 no.3
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• pp.19-34
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• 2001

The purpose of this study was to investigate the differences of the general characteristics of subjects, the utilizing realities and the degree of satisfaction in the shopping mall and purchasing intention between group I that specializes in fashion design and group II that doesn't specialize in it. The results are summarized as the following six aspects. First, as a result of the general characteristics of subjects and the utilizing realities, the most different variables were the visiting frequency and the goods purchasing frequency. The result indicated that group II took more interests than group I. Second, as a result of the degree of satisfaction according to the factors of the general characteristics of subjects and the utilizing realities in the shopping mall, both group I and group II showed high degree of satisfaction in factor 1 (variety of event) whereas both groups showed relatively low degree of satisfaction in factor 3 (variety of goods). Third, as a result of the degree of satisfaction according to the general characteristics of subjects and the utilizing realities, group I showed significant differences in the degree of satisfaction according to a monthly allowance of pocket money and goods purchasing frequency and group II showed significant differences in the degree of satisfaction according to grade, the utilizing reason, goods purchasing frequency. Fourth, as a result of purchasing intention of fashion goods according to the general characteristics of subjects and the utilizing realities, group I showed the higher purchasing intention of fashion goods in group that the terms of payment was on-line payment than group that they was credit card. On the other hand, group II showed a significant difference in grade, which showed that group that was above third grade had the higher purchasing intention of fashion goods than group that was under third grade. Fifth, as a result of purchasing intention of fashion goods according to the degree of satisfaction, group I showed significant differences in factor 1 and factor 3 among the degree of satisfaction. In other words, group that had high degree of satisfaction in factor 1 showed the higher purchasing intention of fashion goods than other groups and group that had medium degree of satisfaction in factor 3 showed the higher purchasing intention of fashion goods than other groups. In group II, on the other hands, group that had high total degree of satisfaction showed the higher purchasing intention of fashion goods than other groups. Sixth, as a result of relative influencing power of independent variable with respect to purchasing intention of fashion goods in group I, the higher degree of satisfaction in factor 1 and the lower degree of satisfaction in factor 3 showed, the higher purchasing intention of fashion goods showed. As a result of relative influencing power of independent variable in group II, however, the higher grade and the higher degree of satisfaction in factor 1 showed, the higher purchasing intention of fashion goods showed.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.637-648
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• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.73-86
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• 2017

The purpose of this study was to investigate the influence of consumers' shopping value(SV), ease of use(EOU), and usefulness(U) on their purchase intention(PI) in mobile shopping mall. Path hypotheses in structural equation model which was constructed for this purpose were verified. In addition, the research model was analyzed according to the groups classified by the level of purchase experience in mobile shopping mall. The survey was limited to the respondents in their 20s and 30s living in Seoul and other metropolitan areas who had purchased fashion products in mobile shopping mall. 411 useful data collected from on-line survey were analyzed by descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and pearson's correlation analysis using SPSS 21 and AMOS 19. The results of verifying the hypotheses were as follows: First, SV was composed of two factors which included hedonic shopping value(HSV) and utilitarian shopping value(USV). Second, the research model was verified as an acceptable model in explaining the influence of consumers' SV, EOU, and U on PI. Third, seven hypotheses among nine hypotheses were accepted in high purchasers. HSV did not have a significant influence on PI, and EOU did not affect PI significantly. Fourth, five hypotheses were accepted in light purchasers. HSV affected U significantly while USV had a significant impact on EOU and PI. EOU affected U, and U affected PI significantly. In conclusion, USV was proven to be the factor affecting PI directly as well as indirectly. Eou and U also had a significant influnce on PI in mobile fashion shopping. These results will provide mobile marketers with the differentiated strategies to make consumers lead to mobile purchase.

• Journal of the Korean Home Economics Association
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• v.42 no.7
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• pp.103-118
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• 2004

The purpose of this study was to investigate the discriminative factors of on-line consumer satisfaction. Data were obtained from an online questionnaire survey with 1089 online shoppers who had the experience of either purchasing or visiting a fashion on-line shopping mall from the panel of an online survey agency(www.inr.co.kr) and 1049 responses were analyzed. For analysis of data, descriptive analysis, Cronbach's ${\alpha}$, $\chi$$^2$-test, one-wav ANOVA, Ducan test and stepwise regression analysis were applied. The results of this study were as follows: Firstly as a result of differences of purchasing experience and future purchasing intention via internet, 4 consumer groups were generated: internet patronizing group, trial and unsatisfied experience group, future purchasing intention group, and internet carelessness group. Secondly each group differences was found in demographic variables such as age, marital status, income and employment status. Croup differences were also found in personal, product, and store variables except tangibility. According to consumer groups, different factors were directly impact on consumer satisfaction.