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 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
/
v.28
no.8
/
pp.1065-1075
/
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.
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.
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.
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
. To test model and hypotheses, data were collected from 114 consumers located mid-size city in local area. The author employs PLS methodology (SmartPLS 2.0) to test hypotheses. Data analysis results indicate that among five store images salespeople services, and store location affect utilitarian shopping value. Store atmosphere, salespeople services, and store location affect hedonic shopping value. Two shopping values affect shopping satisfaction. Hedonic shopping value affect more shopping satisfaction than utilitarian shopping value. Data analysis results is presented in
. The author examines the moderating effects of perceived retail crowding between shopping values and shopping satisfaction. Results indicate that there are no moderating effects between shopping values and shopping satisfaction. Moderating effects of perceived retail crowding between utilitarian shopping value and shopping satisfaction are presented in
. Moderating effects of perceived retail crowding between hedonic shopping value and shopping satisfaction is presented in . The author examines the direct effect of perceived retail crowding on shopping satisfaction. Results are presented in
. The author analyzed the relationship between perceived retail crowding and shopping satisfaction using WarpPLS 3.0 which can analyze the non-linear relationship. Result indicates that perceived retail crowding affects directly shopping satisfaction and there is a non-linear relationship between them. Among five store image components, store atmosphere and salespeople services affect directly shopping satisfaction. The author describes about the managerial implications, limitations, and future research issues.
Journal of the Korea Fashion and Costume Design Association
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v.15
no.3
/
pp.51-67
/
2013
This study aims to examine impacts of the Internet shopping orientation of Korean and Chinese consumers on their selection criteria of shopping malls and apparel products, frequencies and amounts of purchase, and information search in the Internet shopping mall. A survey was carried out with Korean and Chinese female consumers in their 20s and 30s who have the Internet shopping experiences. The results of this study were as follows: First, the Internet shopping orientation of Korean and Chinese respondents clearly showed factorial structures including the pleasure-conscious, fashion-conscious, price-conscious, and convenience-conscious orientation. From a result of the cluster analysis on four factors of the Internet shopping orientation, Korean and Chinese respondents were classified into three groups of the Internet shopping-unconscious, the Internet shopping-loyalty, and pleasure convenience-conscious. Second, there were significant differences in selection criteria of both the Internet shopping mall and apparel products among three groups of the Internet shopping orientation in Korea and China. Third, significant differences were identified in visiting frequencies, apparel purchase frequencies and amounts, payment methods, and information sources during the Internet shopping among three groups of the Internet shopping orientation in Korea and China.
This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.
In this study we presented the plans to activate the Internet Shopping Mall for GWmart under its present situation recording a rapid growth in sales and recognized as a local new distribution channel since its early stage, using the analysis that affects the purchases of consumers. On studying the reliance of a shopping mall, only the shopping mall image and the efficiency in providing information are significant. Regarding the concentration on the shopping site by shoppers, what becomes significant are the efficiency in providing information and the convenience in searching for products, which is one of the important factors in increasing sales, does not affect the reliance of a shopping mall and the concentration on the shopping site by shoppers. Therefore, this finding suggests that it is not easy to access the internet shopping mall when consumers go shopping for certain products. Because of this, it is necessary to change the design and structure of internet shopping mall to focus on the consumers. Moreover, this study showed that the efficiency in providing information to customers and the image of the shopping mall do not affect the consumers' intention to purchase, which means that shopping mall lacks in its information service and the management of its structure. To address this, it is required to advance the User Interface and contents of internet shopping mall.
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