• Journal of the Korean Home Economics Association
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• v.40 no.6
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• pp.69-83
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• 2002

This study examined the effects of demographic variables on buying behavior, and investigated buyers'perceived value and risk perception of the internet shopping mall. The sample was collected by a department store in Daegu, and it included 1,732 individuals using the Cyber Mall. Research methods used in this study were simple statistics, t-test and ANOVA. The buyers perceived values through the internet shopping mall were classified into five categories-price, time, convenience, intrinsic attributes, reliability and the risk perception also was classified such as the overall purchasing process, quality of products, exposure of the personal information, delivery system, refund and exchange. The major findings of this study were 1) most important categories affecting their buying behavior were the value of convenience and following values in order were time, price, reliability, intrinsic attributes. 2) the risk perception were overall purchasing behavior, quality of products, exposure of personal information, delivery, and refund & exchange in order. 3) age of buyers, buying experience on the internet shopping mall, and gender were the important factors affecting the buyers'perceived value and risk. 4) the study also, showed that according to the variety of products, buyers perceived the value and risk differently, for example, the price was the most important perceived value in case of food product. The implication of the study is to strategically suggest how to enhance the buyers'perceived value and diminish perceived risk of different products.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.287-304
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• 2016

This study examines the influence of product classification standards and structure on user perception as well as their attitude towards online shopping sites. The causal relationships of variables are also examined. The analysis was based on an online survey with 247 responses. Four types of internet shopping sites were developed and used as a stimulus. The results of the mean comparison analysis indicated that perceived variety, information overload, perceived shopping value and attitude towards the site varies significantly with product classification standards and structure. There was also of a marginally significant interaction between the classification standard and structure on perceived variety and information overload. The causal relationship analysis revealed that perceived variety positively influenced hedonic and utilitarian shopping value. However, information overload had a negative effect on hedonic and utilitarian shopping value. Both the hedonic and utilitarian shopping value positively influenced attitudes towards the sites. This study demonstrates that classification method influences customer perception and attitude. It offers interesting insights on a product classification method as a strategic tool for online shopping.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.87-97
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• 2020

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.209-220
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• 2005

The purposes of this study were to determine the components of internet shopping value and to identify how those influence on the consumers' internet shopping behavior of apparel products. The data were collected via a self-administered questionnaire from 221 male and female students who have the shopping experiences for apparel products on the internet shopping malls, living in Kyongnam province. Using SPSS 12.0 package, $Cronbach's \alpha$, factor analysis, cluster analysis, ANOVA, Duncan multiple range test and stepwise multiple regression analysis were performed. The results could be summarized as follows; 1) According to the internet shopping values, college student consumers were classified into three groups, utilitarian value shoppers, hedonic value shoppers and low interest shoppers. 2) As a results of the ANOVA among the three groups, significant differences were found in the internet shopping mall attributes and perceived risks. 3) Internet shopping values-hedonic and utilitarian shopping values, internet shopping mall attributes and perceived risks had an significant effect on the attitude and purchasing intention of the internet shopping mall.

• Journal of Fashion Business
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• v.23 no.2
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• pp.140-155
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• 2019

The objective of this study was to verify the usage intention of unmanned fashion stores through the technology acceptance model and to verify the extended technology acceptance model including the shopping value as consumers' characteristic. An online survey, consisting of 626 consumers as participants, was conducted from March 13 to 19. Results of the study were as follows: This study used exploratory and confirmatory factor analysis. Furthermore, a covariance structure analysis using the maximum likelihood was conducted for hypothesis testing. According to the results, perceived ease of use affects perceived usefulness, which thereby affects the usage intention of unmanned fashion stores through attitude. Moreover, the analysis of the extended technology acceptance model including the shopping value as the intrinsic motivation of the consumers showed that the hedonic shopping value had a significant effect on the perceived ease of use and perceived usefulness, and perceived usefulness influenced the usage intention of unmanned fashion stores through attitude.