The purpose of this study was to understand the relationship between life style that a consumer is pursuing and purchasing frequency among the purchasing behaviors in internet shopping mall. As a result, the factors of life style with respect to purchasing attitude of the consumer were categorized into 'price advising type', 'price-quality identifying recognition type', 'brand-oriented type', 'shopping time-effort non-investment type', and 'price-quality comparing type'. It showed that there was a close relationship between the life style and the purchasing frequency in internet shopping mall and that there was a significant influence between the life style and the purchasing frequency. The result of this study indicated that the relationship between the life style and purchasing frequency in internet shopping mall was actualized by measuring the purchasing inclination of the consumer under various situations of psychologically descriptive characteristics and desire and simulation. Therefore, this fact suggests that it is very important to measure the accurate purchasing attitude of its consumer when setting up the marketing strategy of internet shopping mall.
The purpose of this study was to identify the differences of internet shopping attitude, shopping behavior, and shopping satisfaction according to purchasing frequency of internet shoppers for children's clothing. Data were collected from 170 female internet users who had purchasing experiences of children's clothing. For data analysis, factor analysis, one-way ANOVA, Duncan test, cross tabulation, regression analysis, t-test, frequency and multi- response analysis were conducted. The results are as follows: The internet shoppers for children's clothing were classified by purchasing frequency. Factors of internet shopping attitude were convenience, reliability, and safety. Significant differences were found on internet usages, internet attitudes, and shopping behaviors between two groups. Heavy purchasers used internet longer, had more positive attitude toward convenience and safety, and paid more money than light purchasers. Significant differences were found on internet attitudes according to age and internet usage. Convenience and safety factors had impact on internet shopping satisfaction.
The objectives of this study are to provide the food market of internet shopping malls with effective marketing data, to provide basic data for the development of related fields of the study, and ultimately to increase the satisfaction of food consumers of internet shopping malls. To achieve the object of this research, a cluster analysis of the research subjects was carried out based on the following 5 factors of food purchasing attribute that had been deduced by a factor analysis by the types of food purchasers: quality characteristics, informativity, convenience, price and diversity. According to the result of the cluster analysis, the research subjects were classified into the 2 clusters of diversity and informativity. The deduced 2 clusters, together with age and occupation among general characteristics, were used as independent variables to find out food purchasing behaviors and satisfaction at internet shopping malls. The results are as follows: Regarding the frequency of food purchasing experiences at internet shopping malls according to occupation, the highest frequency was shown by those involved in service, sales and self-employed businesses; whereas regarding the frequency according to age, those in their 30s and 40s showed the highest frequency. The total amount of money spent on food purchasing for 1 year at internet shopping malls was shown to increase as age increased. The frequency of the purchasing experiences of agricultural products and fish products was shown to be higher as age increased. However, overall purchase satisfaction was highest among those in their 30s, while lowest among those in their 40s. Regarding satisfaction by the types of food purchased via internet shopping malls, satisfaction was relatively higher with common foods and functional foods, while lower with fish products. Taken together, it was concluded that purchasing behaviors at internet food shopping malls, such as the frequency of purchasing experiences and purchase amount, varied depending on age rather than purchasing attribute. Accordingly, in order to vitalize internet food shopping malls, it would be necessary to provide customized food shopping information for individual age groups.
The purpose of this study is 1) to investigate the effects of Internet apparel store attributes, shopping values, Internet usage, and consumers' characteristics on consumers' Internet apparel purchasing behavior; and 2) to identify the influence of Internet apparel store attributes, Internet usage, and consumers' characteristics on the Internet apparel purchasing behavior of hedonic or utilitarian consumers. The data were collected via an online survey. A total of 4,254 Internet users participated in this survey. Only 589 out of the users' reponses were used as a sample for this research, because those users had previously experienced Internet apparel purchasing. Factor analysis revealed five dimensions of Internet apparel store attributes: site design/navigation, promotion programs, trust, product assortment/ information, and customer service. Based on the respondents' shopping value scores, we identified them as hedonic or utilitarian consumers. Through multiple regression analyses, site design/navigation and promotion programs among store attribute variables, hedonistic or utilitarian shopping values, the number of years on the Internet, income, and educational level were found to be significant predictors of Internet apparel shopping frequency. Among them, hedonistic shopping values were the best predictor of Internet apparel purchasing frequency. Based on the Internet apparel purchasers' shopping value, purchasers were divided into two groups. For hedonic Internet apparel shoppers, the number of years on the Internet, educational level, sex, age, and income were significant predictors of Internet apparel shopping behavior. On the other hand, promotion programs among store attribute variables was the only significant factor that affects utilitarian consumers' Internet apparel shopping behavior.
This study analyzed the effects of consumer confusion on shopping fatigue and negative purchasing behaviors in an internet shopping environment. Further, the effects of shopping fatigue on negative purchasing behaviors were analyzed. The survey was conducted among consumers in their 20s and 40s in the Seoul metropolitan area who had experience of purchasing fashion products through internet shopping. A total of 392 questionnaire were analysis, with frequency, reliability, factor, correlation, and regression analysis completed using the SPSS statistics program. The results of the study showed that consumer confusion and shopping fatigue in internet shopping environment affected negative purchasing behaviors. First, consumer confusion comprised overload confusion, similarity confusion, and ambiguity confusion. It was found that overload confusion and similarity confusion significantly affected shopping fatigue. Second, shopping fatigue significantly affected negative purchasing behaviors, and an increased level of shopping fatigue result in, increased purchase delay and non-purchase behavior. Third, consumer confusion (overload confusion, similarity confusion, ambiguity confusion) significantly affected purchase delay behavior, while similarity confusion and ambiguity confusion significantly affected non-purchasing behavior. These results will provide useful data for e-CRM and marketing directions of internet companies and will contribute to rational decision-making of internet consumers and improve the quality of consumer life.
Journal of the Korean Society of Clothing and Textiles
/
v.25
no.7
/
pp.1247-1257
/
2001
The objectives of the study were to examine apparel purchasing behavior in internet shopping malls and the level of perceived risk when internet users purchase online. For this research, 15,000 internet users were given questionaries via E-mail, or special website online. The sum of 1958 questionaries were used for statistical analyses. Using, SAS package, factor analysis, Crobach's ${\alpha}$, t-test, $\chi$$^2$-test, frequency and multi-response analysis were performed. As the results, 19% out of internet users had bought apparel products through internet shopping malls. Men had more purchasing experiences in apparels as well as general products than women. Among apparel products, T-shirts/shirts were purchased the most by internet shoppers. For perceived risks, 6 factors(quality risk, time/convenience risk, size and appearance risk, privacy risk and social/psychological risk) were investigated for this study. The level of perceived risk was lower when people had a purchasing experience in internet shopping mall than when they didn't. The level of perceived risk was lower when people had purchasing intend about apparels than when they didn't. Based on these results, marketing strategies will be suggested.
The purpose of this study was to examine the post-purchasing behavior focusing on dissatisfaction and complaint behavior. There were some studies concerning dissatisfaction in on-line shopping related to satisfaction and intention to re-buying, but did not focus the relationship with complaint behavior, or identified the factors specifically related to consumer's dissatisfaction. In this study, it was examined to minimize the consumer's dissatisfaction and complaint behavior by investigating the detailed factors relating dissatisfactions and complaint behaviors after shopping apparel goods on the internet. Two hundred fifty five customers who had purchased fashion products in internet shopping had participated in this study. The data was analyzed by factor analysis, regression analysis using SPSS program. As the result, first, product, delivery, returning and price factor were extracted as factors of dissatisfaction, and as factors of complaint behavior, legal action, private action, remedial action were investigated. Second, dissatisfaction was significantly effected on complaint behavior. Specially, returning factor and price factor had effect on legal action, product, delivery factor had on private action and returning factor had affected remedial action. Third, more purchasing frequency, less dissatisfaction. Also, female had more dissatisfaction than male. Finally, more dissatisfaction and compliant behavior, less repurchasing intention. Based on these results, internet shopping fashion marketing strategies were suggested.
The purpose of this study is to identify the influences of psychological variables and fashion-related psychological variables on purchasing fashion items on the Internet. Boredom proneness and public self-consciousness were selected as psychological variables, and dressing style was selected as a fashion-related psychological variable. It was hypothesized that boredom proneness and public self-consciousness not only influence the purchasing frequency of fashion items on the Internet directly, but also indirectly through dressing style. Data were gathered by surveying university students in Seoul using convenience sampling. Two hundred and eighty-six questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for hypothesized relationship testing. The factor analysis of boredom proneness revealed five dimensions, "helplessness," "affective response," "lack of internal stimulation," "lack of external stimulation," and "perception of time." The factor analysis of public self-consciousness revealed two dimensions, "appearance-consciousness" and "style-consciousness," and the factor analysis of dressing style revealed one dimension. The overall fit of the hypothesized model suggests that the model fits the data well. The hypothesized relationship test proved that boredom proneness and public self-consciousness influence the purchasing frequency of fashion items on the Internet indirectly through dressing style. The results implicate effective strategies for Internet shopping malls and suggestions for future study.
This study analyzed the effects of internet fashion consumer characteristics and shopping motivation on price sensitivity as well as the effect of price sensitivity on negative purchasing behavior. A survey was conducted from August 10 to September 20 in 2012 and 364 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The characteristics of internet fashion consumers were composed of innovation tendency, impulse buying tendency, information orientation, and variety seeking tendency. Shopping motivation was composed of convenient motivation, social motivation, hedonic motivation, product motivation, and economic motivation. The information orientation and variety seeking tendency of internet fashion consumers influenced the price search. The innovation tendency, impulse buying tendency, and variety seeking tendency of internet fashion consumers influenced the price importance. Convenient motivation, hedonic motivation, and product motivation positively affected the price search; however, social motivation negatively affected the price search. The social motivation, hedonic motivation, and economic motivation of internet fashion consumers positively affected price importance. Price search and price importance influenced the purchasing delay; in addition, price search influenced the switching intention. The results of this study provide useful information for customer management and internet shopping mall marketing strategies.
The purpose of this study was to develop the service and product perceptions' dimensions for fashion retail sites and to identify the service and product perceptions' dimensions influencing consumers' satisfaction and purchasing behavioral intentions for fashion retail sites. A set of self-administered questionnaires were e-mailed to an internet Research Panel consisting of members who had purchased fashion products or visited fashion retail sites. 799 questionnaires were analysed using frequency, percentage, exploratory factor analysis. Cronbach's ${\alpha}$, stepwise regression analysis utilizing SPSS 10.0. The service perception dimensions of fashion retail sites had reliability, convenience, incentive, responsiveness and tangibility. Online fashion product perception dimensions were product variety and product value. Consumer satisfaction was influenced by reliability, product variety, product value, convenience, incentive and responsiveness. Consumer satisfaction had a direct impact on purchasing behavioral intentions of fashion retail sites.
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