• Korean Journal of Human Ecology
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• v.23 no.5
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• pp.873-890
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• 2014

The purpose of this study was to examine the relationship among consumer's perceived risk of apparel purchase in internet shopping mall, control, and impulse buying. The subjects were 319 female college students in Gyeongsang provinces. The obtained data were analyzed by reliability analysis, analysis of frequency, factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, correlation analysis, and t-test. The major results of this study were as follows: First, three factors of consumer's perceived risk of apparel purchase in internet shopping mall were identified: size risk, trust risk, and social/psychological risk. Second, the subjects were categorized into three different types of groups according to perceived risk: high perceived risk type, middle perceived risk type, and low perceived risk type. Third, three control(self-control, goal-control, and desire for control) and three impulse buying(impulsive buying for showing off, impulsive buying for excitement, and impulsive buying due to memory) were identified. Fourth, there was significant difference between strong control group and weak control group on three factors of impulse buying. Fifth, a significant positive correlation was found size risk and three factors of control and a significant negative correlation was found self-control and three factors of impulse buying.

• Journal of the Korean Home Economics Association
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• v.47 no.7
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• pp.83-95
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• 2009

This study investigated the differences in the effects of the perception of the internet fashion shopping mall characteristics on satisfaction and loyalty of internet fashion shopping mall between Korean and American college students. Questionnaires were administered to 251 Korean and 221 American college students. The results were as follows. First, service and product diversity had significant effects on satisfaction of internet fashion shopping mall in both group, while convenience had a significant impact on satisfaction of internet fashion shopping mall in American group. Second, service, product diversity, and promotion had significant influences on repurchase intention of internet fashion shopping mall in Korean consumer group, while service and reliability, product diversity, and convenience had significant effects on repurchase intention of internet fashion shopping mall in American consumer group. Third, service had a significant effect on recommendation intention in Korean group, while service and reliability and product diversity had significant influences on recommendation intention in American group.

• Journal of the Korean Society of Costume
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• v.52 no.5
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• pp.187-196
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• 2002

The purpose of this study was to clarify differences in their perceptions in relation to clothing quality and service quality of internet shopping mall according to classified consumer groups by clothing involvement. The 248 questionnaires were collected from female and male students of university who experienced browsing at the website for clothing shopping. Using SPSS Win package, Cronbach's $\alpha$, frequency. percentage, factor analysis, cluster analysis, ANOVA, SNK multiple range test and multiple regression analysis were performed. The results could be summarized as follows. First. the dimension of clothing involvement divided consumers into three different groups: fashion/importance group, pleasure group and symbol group. Second, the significant differences among the classified clothing involvement groups were found in the perceptions in relation to clothing product quality and service quality of internet shopping mall. Third. pleasure and symbol of clothing involvement, physical attributes and expressive goals of clothing quality, and product assortment and promotion of service quality in the internet shopping mall had an effect on the purchase intend of internet shopping mall.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.29-50
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• 2003

This research provide the basic information to enhance the user-orientedness of usability design guidelines for software products and an effective empirical guidance to classify design attributes of internet shopping mall sites. The results of analysis show that design attributes can be classified into the procedural attribute group, the shopping tool attribute group, the visual attribute group, linguistic attribute group, and others. The results show that shopping tool attribute group can be divided further into the search tool attribute group and purchase tool attribute group and that the visual attribute group can be divided further into the screen condition attribute group and the character legibility attribute group. The research reveals that when designers design software interfaces and features they should take the compound effect of a group of design attributes into consideration to enhance the usability of the system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.701-710
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• 2018

This study aims to verify the mediating effect of perceived risk of internet shopping mall users' innovativeness on product purchase intention. Research subjects included consumers with prior experience of using internet shopping malls, and 405 respondents were used for final analysis. The major findings of the study are as follows: First, as a result of the investigation on the relationships among users' innovativeness, perceived risk, and product purchase intention, all correlation coefficients were positive. Second, consumer innovativeness was found to significantly influence perceived risk and purchase intention, and perceived risk mediated the relationship between consumer innovativeness and purchase intention. Third, when we performed sub-group analysis on the research model by dividing products into hedonic and utilitarian products, it was found that hedonic products revealed path coefficients which are statistically more significant compared with those for utilitarian products. We can draw the conclusion that in terms of internet shopping mall purchases, hedonic products exert a greater influence on the effect of consumer innovativeness on purchase intention compared to utilitarian products.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• 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.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.183-195
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• 2010

The purpose of this study is to find out the difference of evaluation of product and service quality according to consumers' attitude toward price in internet clothing purchase. This study surveyed 400 male and female consumers in their 20s-30s for empirical analysis in August 2010 who have ever purchased clothing through internet shopping malls. For statistical analysis, descriptive statistics, factor analysis, ANOVA analysis, Duncan test and cluster analysis are carried out using SPSS for Windows 12.0. The results are as follows. First, consumers' attitude toward price dimensions in internet clothing purchase are found 6 factors of sales proneness, price-prestige, price-comparison, low price, utility value and pricequality. Second, based on the attitude toward price dimensions, consumers are categorized into utility value seeking, sales price seeking, multi-dimension price seeking, lack price consciousness, low price seeking group. Third, there are significant differences in product quality and service quality depending on attitude toward price-based consumer types. In particular, sales price seeking and multi-dimension price seeking groups have higher values on product and service quality than other groups. The results of this study will help internet fashion mall businesses to develop price strategy and manage product and service quality.

• The Research Journal of the Costume Culture
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• v.24 no.4
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• pp.457-470
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• 2016

The purposes of this study were to: 1) identify sub-factors of fashion shopping orientation (FSO) in adults aged 20 through 39, and analyze the differences among those FSO factors according to classified groups, which were based on gender and purchase frequency in a mobile shopping mall, and 2) to investigate the effects of FSO factors on mobile purchase intention according to the same classified groups. The questionnaire was conducted from November 10, 2015 to November 20, 2015 and its 432 respondents were classified into four groups, which were male/heavy purchaser, male/light purchaser, female/heavy purchaser, and female/light purchaser. The results of this study were as follows: First, fashion shopping orientation consisted of five sub-factors, which included "conspicuous brand pursuit", "economic pursuit", "pleasure/trend pursuit", "impulse shopping", and "convenience pursuit". Second, There were significant differences in three factors of FSO between male purchasers and female purchasers. Male purchasers showed higher tendency than female purchasers in "conspicuous brand pursuit", while female purchasers showed higher tendency than male purchasers in "economic pursuit" and "convenience pursuit". All the factors of FSO showed significant differences among the classified groups. Third, "economic pursuit", "pleasure/trend pursuit" and "convenience pursuit" affected mobile purchase intention in the case of male purchasers while "economic pursuit" and "conspicuous brand pursuit" had a influence on mobile purchase intention in the case of female purchasers. Fourth, the factors of FSO affected mobile purchase intention partly in each group. In conclusion. "economic pursuit" was proven to be the main influential factor to induce consumers to have a mobile purchase intention.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1003-1012
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• 2010

This study analyzed purchase behavior according to the risk perceptions when customers buy Cosmetics at Internet Shopping Malls. Participants were 232 women in their 20s and 30s with more than one buying experience at an internet fashion shopping mall. Data were analyzed using factor analysis, Cronbach's analysis, cluster analysis, one-way ANOVA and a Duncan test. Results were as follows. Firstly, five factors of risk perception were identified: These were the payment risk, service risk, quality risk, price risk and experience risk. Secondly, customers of internet shopping malls could be categorized into three groups: A low risk perception group, a payment risk perception group and a high risk perception group. Factor analysis showed significant differences between these groups( p<.001). Thirdly, purchase behavior based on the purchase standards, purchase items, information searching were investigated according to the different groups of risk perception of internet shopping malls and results again significant differences between groups (p<.05, p<.001).