The purpose of this study was to examine the effect of shopping orientations on clothing purchasing behavior according to residence. The data was obtained from questionnaires filled out by 530 females living in Seoul and Jecheon. For data analysis, factor analysis, ANOVA, t-test, Cronbach's $\alpha$, Duncan's multiple range test and cluster analysis were used. For shopping orientation, five factors of orientation were found and labeled as hedonism, brand and store loyalty, conformity, economy and rationality factor. Based on five shopping orientation factors, women were classified into five clusters(self-centered and rational, recreational, economy and shopping low involvement, economical and conformative cluster). Each cluster showed significantly different clothing purchasing behaviors (problem recognition, information search and evaluative criteria) and had different demographic variables(age, income, marital status and school career). Finally, residence and shopping orientations have influenced various clothing purchasing behavior. In conclusion, residence was the important factor which influenced on shopping orientation and clothing purchasing behavior.
This paper introduces the design and implementation of product search support agent for an efficient Internet shopping. In existing shopping malls, electronic catalogs provide the product information by subject or keyword, or the buying information by purchasing history. This proposed product search support agent system is designed to analyze navigating patterns of customers, extract more effective buying information with regard to the current trend in customer navigating . In conclusion, this product search support agent can propose more suitable buying information to customers that he can be proposed to make purchases more efficiently.
The purposes were to identify clothing shopping orientation and service perception of online shopping mall according to Mongolian's internet lifestyle. A questionnaire developed by researchers was used and 310 Mongolian in 20's were the subjects. Survey was done during Jan. and Feb. 2010. Most Mongolian used internet at home or office and had used internet less than one year. Half of Mongolian visited online shopping mall less than 5 times during last year. Most Mongolian did not buy any fashion items at online mall but had higher intention to shop at online mall. Factors of Mongolian's internet lifestyle were information search, shopping pursuit, and utilizing ability and segmented into internet heavy users and light users. Factors of fashion shopping orientation were individuality & brands, fashion, diversity, economy, pleasure, and efficiency and factors of online shopping mall service were order & delivery and products. Internet heavy users were found more frequently among married men with high income, experienced online shopping more, showed higher fashion shopping orientation, and pursued online shopping mall service more. Internet light users were among unmarried women with low income, not experienced online shopping, showed lower fashion shopping orientation, and pursued online shopping mall service less.
This study analyzed risk perception and risk reduction behaviors of male and female college students in their twenties who purchased fashion products in internet shopping malls. It also investigated the relationship between risk perception and risk reduction behavior as well as the ways in which groups, categorized by risk perception, differed in their risk reduction behaviors. The results of this study were as follows: first, seven factors of risk perception were identified. These were product quality, shipping, product image, payment, economic feasibility, fear of other people's reactions, and size. Six types of risk reduction behavior were also identified. These were product comparison, word-of-mouth information search, price search, preference for name-brand, service comparison, and referring to experiences. Next, a correlational analysis of the factors of risk perception and those of risk reduction behavior showed several patterns. The highest positive correlation was between economic risk perception and product comparison behavior. In addition, shipping risk perception was positively correlated with service comparison behavior and product quality and product image had a positive correlation with word-of-mouth information search behavior. Third, customers of internet shopping malls could be categorized into three groups: shipping risk perception group, high risk perception group, and product quality risk perception group. The groups were shown by factor analysis to be significantly different to each other. Finally, risk reduction behavior was investigated according to the different groups of risk perception of the internet shopping malls and the results showed significant differences among groups.
Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.
Journal of Family Resource Management and Policy Review
/
v.8
no.1
/
pp.61-78
/
2004
The purpose of this study was to compare the consumers' satisfactions between those who prefer internet shopping and those who prefer CATV home shopping. This study examined both on-purchase satisfactions and post-purchase satisfactions. For on-purchase satisfactions, this study investigated informational satisfactions, convenience satisfactions, and price satisfactions, and for the post-purchase satisfactions, it examined overall satisfactions, delivery-related, and exchange or refund related satisfactions. The data(n=376) were obtained from a questionnaire. The data included 185 consumers of internet shopping, and 182 consumers of TV home shopping, and were analyzed by t-tests or chi-square test to compare those consumers' characteristics and satisfactions. The findings of this study are as follows: First, men aged 20s and those who had higher education, higher incomes were more likely to prefer internet shopping. Second, those who like TV home shopping were likely to search just one channel and to use less than 30 minutes to decide to purchase. Third, generally, those who prefer internet shopping showed higher scores of on-purchase satisfactions, and overall post-purchase satisfactions. However, TV home shopping consumers had higher scores of delivery-related satisfactions.
Journal of the Korean Society of Clothing and Textiles
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v.28
no.6
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pp.734-745
/
2004
This paper investigated the consumer's purchase behaviors on the home-shopping private brand apparel. Female consumers of age in the range of 20∼50 were asked to complete a questionnaire, who had experienced to search apparel on home shopping media or had purchased it from home shopping business. Through this empirical study, the importance of home-shopping private brand apparel is confirmed. And the model of home-shopping private brand purchase determination, consists of private brand purchase intention, brand evaluation and company patronage, is suggested focusing on two brand types and three different home shopping media. The data were analyzed by mean, multiple regression analysis, ANOVA, Duncan-test of SPSS Win(ver.10.0). The result generated from this study are as follows: First. there are significant differences in preferred private brand types according to the types of media they preferred to purchase. Consumers's sex and age are also important demographic variables in relation to purchase determination variables of home-shopping private brand apparel. Second, the home-shopping company patronage is directly influenced in consumer's purchase intention of home-shopping private brand apparel as well as the consumer's brand evaluation. Consequently, the company patronage is more related to purchase intention of home shopping private brand apparel.
The purposes of this study were 1) to identify predictors of consumers′ apparel purchase on Internet shopping malls and 2) to determine reasons that respondents didn\`t have purchase intention of apparel on Internet shopping malls. The data were collected via a self-administered questionnaire from 204 male and female students who experienced shopping for apparel on Internet shopping malls, living in Cheju and analyzed by factor analysis, multiple regression analysis, t-test and paired t-test. Two predictors were found regarding purchase of apparel on the "big box" Internet shopping malls which sells various product categories; apparel quality and fun of order process. On the speciality Internet shopping malls which sells only fashion goods, diverse apparel assortment and easy handling and fun of information search were identified as predictors of apparel purchase. Reasons that respondents didn′t have purchase intention of apparel on Internet shopping malls were summarized and labeled as: difficulty of decision making due to virtual shopping environment, insufficiency of diverse apparels, users′ unease handling, risk of incredible apparel quality, unfamiliarity of Internet shopping and risks of unsecurity. Difficulty of decision making due to virtual shopping environment was determined as the most important factor of reasons that respondents didn′t have purchase intention of apparels in website.
Journal of the Korean Society of Clothing and Textiles
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v.39
no.1
/
pp.106-120
/
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.
This study examined which factors were related to the amount of consumer information and the level of consumer satisfaction in electronic commerce. The sample (n= 426) was composed of those who had already engaged in e-commerce. T-test and ANOVA were completed to investigate how the amount of information and the level of satisfaction differ by socioeconomic, internet-related, and purchase-related characteristics of the consumers. The results of this study were as follows: First, consumers who were female and college graduates were more likely to search lots of information in e-commerce. The amount of consumer information was positively related to both the years of internet experiences and the time used on internet per day. Second, consumers who were male, aged on 30s, and who were college graduates with higher incomes were more likely to gather information about product functions, while consumers who were female with less experiences of internet shopping were more likely to consider the brand name. Third, income and education level were positively associated with the level of consumer satisfaction in e-commerce. Those who have experienced lots of purchase in e-commerce were generally satisfied with the shopping in e-commerce. Fourth, the amount of consumer information was positively related to the level of consumer satisfaction, especially satisfaction regarding product qualify and the convenience of shopping in e-commerce.
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