• 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.

• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.564-575
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• 2005

The purposes of this study were to investigate the effects of shopping orientation on fashion shopping mall environments and purchase intention in internet fashion shopping mall. Data were obtained from 423 internet fashion shopping mall consumers who have experiences of buying products or visiting to internet fashion shopping mall in Busan, and were analyzed using by factor analysis, Cronbach's alpha, cluster analysis, ANOVA and Duncan test. The results showed shopping orientation perceived by Internet fashion shopping mall consumers were consisted five factors: Brand loyalty orientation, Economical orientation, Fashion orientation, Time saving orientation and Internet shopping orientation. Internet fashion shopping mall environments were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service, and Help desk. Consumers were classified by the shopping orientation into the Economical shopper, Fashion/brand shopper, and Convenience shopper. Economical shopper and Fashion/brand shopper rise in the estimation of Visual information, Product assortment, and Checkout service of shopping mall environment. Additionally, they were likely to have more intentions to purchase than the other types of shoppers in internet fashion shopping mall.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.8
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• pp.1065-1075
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• 2004

The purpose of this study is to examine consumers＇ internet clothing shopping motives and its relation with information search and impulse buying behavior. Also, this study examines how these variables affect internet shopping satisfaction. An on-line survey was made to collect data, and the replies from 940 people, who had an experience of apparel shopping on line, were used in the analysis. The research results are as follows: 1. As the results of factor, internet shopping motives comprised 4 factors: pleasure shopping motive, economy shopping motive, and information search shopping motive. 2. Consumers usually visited 3 different sites to shop clothing and they spent about 15-30 minutes at the malls. 3. Pleasure shopping motive and ongoing information search influenced on impulse buying behaviors. 4. Ongoing information search, economy shopping motive and impulse shopping behavior gave a strong influence on the internet shopping satisfaction. 5. Consumers were classified into 4 groups in terms of internet shopping motives: convenience group, economy pursuing group, and pleasure pursuing group.

• Journal of Fashion Business
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• v.9 no.6
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• pp.126-140
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• 2005

The main purpose of this research was to examine what were the factors of shopping value that consumers perceived, if there is any difference between male and female, and if male and female consumer group were divided into different groups according to the pursuing shopping value type. Data were solicited from convenience sample of 347 adults(156 male and 191 female) who were between 19 to 49 years of age. Sources for the sample were companies and apartment complexes and several colleges in Seoul and Chonan to diversify by such demographics as age and social status. The statistical methods used for this study are factor analysis and cluster analysis and Scheffe test using a SPSS 10.00 GLM. The main findings are as follows: First, four dimensions of clothing shopping values were identified as pleasure, planned, leisure, and convenience value. For male, it appeared in the order of pleasure, leisure, planned, and convenience shopping value and for female, it appeared in the order of pleasure, planned, leisure, and convenience shopping value. The most important subdimension of clothing shopping value was 'pursuing pleasure' and the least important one was 'convenience' regardless of gender. Second, three types of consumer groups for male & female were identified. For male consumers, it appeared as planned, leisure/convenience, and pleasure pursuing group. For female consumers, it appeared as pleasure, convenience, and leisure shopping pursuing group. Here, pleasure is a common factors to affect shopping itself free from gender, but male does shopping with plan and female with pleasure.

• The Journal of Industrial Distribution & Business
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• v.14 no.12
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• pp.11-21
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• 2023

Purpose: This study aims to investigate the impact of mobile shopping app components on shopping flow and the continuous usage intention of the shopping apps in the rapidly growing mobile market facilitated by advancements in the mobile environment. Research Methodology: A survey was conducted, targeting users aged 20 and older with experience in using mobile shopping apps. The responses of 456 participants were analyzed through frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, and structural equation modeling. Results: The study found that within the components of mobile shopping apps, enjoyment significantly impacted both shopping flow and the continuous usage intention of shopping apps. The diversity of product assortment had a significant effect only on shopping flow. The usefulness and ease of use influenced on the intention to continue using shopping apps. Conclusions: Based on the findings, it is recommended that shopping app operators try to identify essential components for stimulating user interest and engagement when developing or modifying apps. Additionally, a diverse range of products enhances the shopping experience and drives spontaneous purchases. Furthermore, providing an easy interface and minimizing the effort required, this experience can enhance user perception of its value and sustain consumers' continuous usage intention of the shopping app.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.3
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• pp.429-439
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• 1994

The purposes of this study were to identify shopper types by analyzing clothing shopping orientations and to compare consumer characteristics such as store evaluative criteria, perceived risks in clothing purchase, and demographic characteristics among different shopper types. A questionnaire was developed to measure clothing shopping orientations, store evaluative criteria, perceived risks in clothing purchase, and demographic characteristics. The questionnaire was administered to 453 female adults during the fall of 1993. The results of this study were as follows: 1. Clothing shopping orientations were factor analyzed resulting six factors, such as Recreational Shopping, Economic Shopping, Store/Brand Loyalty, Careful Shopping, In- dependent Shopping, and Self-confidence in Clothing Shopping factors. 2. According to the factor scores of recreational shopping factor and economic shopping factor, consumers were segmented into four shopper types: Low Shopping-involved Shopper, High Shopping-involved Shopper, Recreational Shopper, and Economic Shopper. Consumer characteristics such as store evaluative criteria, perceived risks in clothing purchase, and demographic characteristics were significantly different among shopper types.

• Journal of Distribution Research
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• v.17 no.4
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• pp.1-27
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• 2012

Conceptualization of store image have been suggested in the past by many marketing scholars. The dominant perspective about store image is treated as the results of a multi-attribute model. Store image is expressed as a function of the salient attributes of a particular store that are evaluated. Though, there is a little confusions about what elements compose the store image, most scholars agree that merchandise, service, atmosphere, physical facilities, comfort, and location are generally accepted elements as store image. A considerable researches support that shopping can provide both hedonic and utilitarian value. Hedonic shopping value reflects the value received from fantasy and emotive aspects of shopping experience, while utilitarian shopping value reflects the acquisition of products. These two types of shopping value can affect shopping satisfaction. This study examines the relationships among stores images(store atmosphere, salespeople services, facilities, product assortment, and store location), shopping values(utilitarian shopping value and hedonic shopping value), and shopping satisfaction based on discount stores (E-Mart, Home plus, and Lotte Mart). The author hypothesized that five store image components affect shopping values, and these shopping values affect shopping satisfaction. The author focused on the roles of perceived retail crowding between these relationships. Specifically, the author hypothesized that perceived retailing crowding moderated the relationship between shopping values and shopping satisfaction. The author also hypothesized the direct effect of perceived retail crowding on shopping satisfaction. Finally, the author hypothesized that five store image components affect directly shopping satisfaction. Research model is presented in