Journal of the Korea Society of Computer and Information
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v.23
no.9
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pp.123-132
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2018
This study presents perceived reputation, perceived quality, perceived assurance of online shopping malls as the attributes factors of online shopping malls and identifies the impact of perceived online shopping mall attributes on trust, involvement and purchasing intention. Also we analyzed whether trust on online shopping mall affect involvement and purchasing intention, and whether involvement on online shopping mall affect purchasing intention. The results show that perceived quality, perceived assurance of online shopping malls influence positively on trust, but perceived reputation does not. Second, perceived reputation, perceived quality, perceived assurance of online shopping malls doesn't influence positively on involvement. Third, perceived quality, perceived assurance of online shopping malls influence positively on purchasing intention, but perceived reputation does not. Forth, trust on online shopping mall influence positively on involvement and purchasing intention. Fifth, involvement on online shopping mall influence positively on purchasing intention.
The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.
Journal of the Korean Society of Clothing and Textiles
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v.33
no.8
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pp.1215-1226
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2009
This study classifies consumers according to apparel shopping values to find the differences of apparel attributes in accordance to shopping value segments between Korean and Chinese college students. College students from Seoul and Beijing participated in the study and a quota sampling method collected the data. Data from 504 questionnaires is used for the statistical analysis. A factor analysis through, Cronbach's alpha coefficient, ANOVA, and a post-hoc test are conducted. Two factors of apparel shopping values are classified (hedonic shopping values and utilitarian shopping values). Four segments of apparel shopping value were classified (hedonic shopping, low involvement shopping segment, high involvement shopping, and utilitarian shopping). Three factors of apparel attribute are classified (external attributes, internal/aesthetic attributes, and internal/quality attributes). The result indicate that high involvement shopping segments considered all the clothing attributes more importantly than the other three segments. Chinese respondents of hedonic shopping segments and high involvement shopping segments considered advertisements in terms of external attributes, assembly, and fit in terms of internal/quality performance attributes as more important than Koreans. Chinese respondents of low involvement shopping segments also considered assembly and fit in terms of internal/quality performance attributes as more important than Koreans. Korean respondents of utilitarian shopping segments had a special regard for design and color in terms of internal/aesthetic attributes but the Chinese had a special regard for assembly, fit, and ease of maintenance in terms of internal/quality performance attributes.
This study tested how the mobile impulse buying(m-impulse buying) of fashion products was related to shopping motives and mobile applications(apps) browsing in the context of mobile shopping. A total of 316 self-administered questionnaires were obtained from college students who had experienced m-impulse buying of fashion products during the most recent six months. A structural equation model using a correlation matrix with maximum likelihood was estimated for examining the relationships among shopping motives(e.g., hedonic shopping motive and utilitarian shopping motive), apps browsing, and m-impulse buying of fashion products(e.g., fashion-oriented impulse buying and pure impulse buying) by AMOS 21.0. Findings showed that hedonic shopping motive and utilitarian shopping motive had significant effects on apps browsing in their mobile shopping. Apps browsing had a significant effect on fashion-oriented impulse buying, but did not significantly effect on pure impulse buying of fashion products. Additionally, the hedonic shopping motive had directly significant effects on both fashion-oriented impulse buying and pure impulse buying, whereas the utilitarian shopping motive significantly effected on only the pure impulse buying of fashion products in their shopping. This study suggests that the hedonic shopping motive played an important role to determine the m-impulse buying of fashion products and the utilitarian shopping motive played a role in activating apps browsing relevant to mobile shopping for fashion products. Managerial implications are discussed for retailers related to the fashion products in mobile shopping.
The purpose of this study was to investigate the effects of Chinese consumer characteristics as internal inclination on the trust and purchase intention of on-line shopping mall. Two hundred sixty subjects, who were living in Shanghai, China and were university students, were randomly selected for questionnaire. The effective two hundred forty four questionnaires were used to conduct reliability tests for internal consistency and multiple regressions for relationship between independent and dependent variables with SPSS 10.0. The results from this study were as follows. It showed a significant relationship between the on-line shopping experience, consumer innovation, consumer risk and the trust of on-line shopping mall, however, it didn't show any significant relationship between convenience shopping orientation and the trust of on-line shopping mall. Also, It showed a significant relationship between the on-line shopping experience, consumer innovation and the distrust of on-line shopping mall, however, it didn't show any significant relationship between consumer risk, convenience shopping orientation and the distrust of on-line shopping mall. It showed a significant relationship between purchase intension, the consumer risk and on-line shopping experience which appeared a high trust in on-line shopping mall, however, it didn't show any significant relationship between purchase intension and consumer innovation which appeared a high distrust. Therefore, it could be concluded that in China it is decreasing to purchase through the internet shopping mall every year because the group of consumer innovation, which most of internet users in China belong to it, distrusts the internet shopping mall.
Journal of the Korea Fashion and Costume Design Association
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v.21
no.3
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pp.37-53
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2019
The purposes of this study were to investigate Chinese female consumers' shopping orientation and clothing shopping behaviors on the internet and to find the differences in internet shopping behaviors of consumer groups segmented by clothing shopping orientation. The subjects were 417 women in their 20s and 30s from the Gillim Province, China. The research method was a survey, and the questionnaire consisted of a clothing shopping orientation subscale, clothing, their shopping behaviors via the internet, and the subjects' demographic characteristics. For data analysis, a frequency analysis, a cross-tab analysis, a factor analysis, a cluster analysis, ANOVA, and Duncan's multiple range test were performed. The results of this study were as follows. The clothing shopping orientation was derived using five factors (trend pursuit, pleasure pursuit, brand pursuit, economic pursuit, and convenience pursuit). Chinese female consumers were classified into three groups (hedonic group, ambivalent group, and practical group) by clothing shopping orientation. These three groups showed many significant differences in their clothing shopping behaviors on the internet. The hedonic group preferred the specialty and cross-border shopping malls, and considered product quality and trend as their main purchase motives. The ambivalent group considered the convenience of the purchase and trend as important motives as compared to the other groups, and they use more various product selection criteria. The practical group considered low price and convenience and the search simplicity of various products as major purchase motives. In addition, the hedonic and ambivalent groups had a higher purchase satisfaction and purchase intention from internet shopping than the practical group. This study suggested that clothing shopping orientation is one of the useful segmentation variables and fashion marketers needed to establish differentiated marketing strategies for each consumer group that is segmented by clothing shopping orientation.
Data home shopping is a kind of T-commerce service with traditional TV home shopping, product DB of data broadcasting, and advantages of catalog shopping based on data broadcasting technology. Since the data home shopping service was partially started in 2012, there were no in-depth researches regarding the perception of data home shopping. Therefore in this paper, the traditional TV home shopping and data home shopping is analyzed how the perception is in terms of platform quality, service quality and content quality and what the difference in perception is. To verify this, a questionnaire survey was conducted on TV home shopping and data home shopping 140 workers who have good understanding of data home shopping. The results showed that the difference of platform quality, service quality and content quality between TV home shopping and data home shopping was significant and TV home shopping had better quality. In terms of platform quality, TV home shopping was 3.75 on a five-point scale and data home shopping was 2.93. Service quality was significantly different between TV home shopping (3.60) and data home shopping (3.25). For the quality of contents, TV home shopping had better quality as 3.21 while data home shopping was 2.82. There was no interaction effect in gender, age, position, and work field except between the age and platform quality.
The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, $\chi^2$-_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of fashion information sources, significant differences were found according to shopping orientation subdivision in mass media information, information by consumer, information by marketer. 3. The stores selection criteria were significantly different depending on shopping orientation subdivision in goods and atmosphere of shop, promotion, convenience of shop's location. 4. The clothing purchasing frequency of a year were significantly different depending on shopping orientation subdivision. 5. The significant differences were found according to shopping orientation subdivision in purchasing expenditure of clothing. 7. In the demographic characteristics, significant differences were found according to shopping orientation subdivision in age, marriage, the length of one's work, income.
This study investigated adolescents' shopping orientation and price perception according to socio statistics and their experience of internet shopping mall. We distributed the questionnaire to 411 high school students in near Seoul. In the order of high shopping orientation, they showed 'compare products', 'enjoy as leisure', 'shop loyalty', 'discount shopping', and 'brand shopping' orientation. In the order of high price perception, they showed 'economic', 'value', 'brand-quality', and 'price knowledge'. The higher in 'shop loyalty', 'enjoy as leisure' in the shopping orientation, the higher in the price concept of 'price knowledge'. Adolescents who have experience to shopping through internet shopping mall, have the higher enjoy as leisure, shop loyalty, compare products' in shopping orientation, and the higher 'economic, price knowledge' in price perception than those who have not. Socio-statistics parameters are found to affect adolescents' shopping orientation and price perception. Adolescents had average scores in 'shop loyalty', while they had high scores in 'compare products'. Thus, in order to have superior position in adolescent's market, detailed product specification and information are necessary to enhance their shop loyalty. Adolescents thought the price was economical, and they had less concept in 'price knowledge' due to their position. Unlike adults, adolescent's gender does not have effects on their 'economic concept. Male students also had high scores in 'economic concept' as much as female students did.
The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.
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