• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.533-543
• /
• 2021

This study aims to determine and analyze the effect of social shopping, adventure shopping, value shopping, relaxation shopping, and idea shopping in influencing impulsive online buying behavior moderated by scarcity and serendipity information. The research method used is the quantitative research paradigm using surveys as a medium to obtain primary data. The paper examines the theoretical research model and tested fifteen hypotheses. The questionnaire was developed based on indicators from previous research. A non-probability sampling framework is used in this study. The data collection method uses electronic and online questionnaires to collect primary data with a total sample of 330 taken with the criteria of having made transactions in e-commerce Shopee in the last three months. Data analysis tools using Structural Equation Modelling (SEM) approach. The results showed that 8 out of 15 hypotheses were accepted and supported. The results show that there is a relationship between the value of hedonic shopping, scarcity, and serendipity information on impulsive online buying behavior. Therefore, analyzing the needs of customers, optimizing customer satisfaction, service excellence, website quality, and the ease of use of e-shopping itself especially in the e-commerce industry should be taken seriously nowadays.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.5 s.142
• /
• pp.637-648
• /
• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.

• Journal of Fashion Business
• /
• v.21 no.1
• /
• pp.124-133
• /
• 2017

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.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.2
• /
• pp.250-260
• /
• 2003

The purposes of this study were to classify the contents of shopping orientation of cosmetics, to group women into shopper types of cosmetics, to investigate the differences in cosmetics purchase behavior according to shopper types, and to examine how the cosmetics satisfaction was influenced by cosmetics shopping orientation and demographic variables. Subjects were 479 women in their 20's to 50's in Seoul, Korea. The factors of the shopping orientation of cosmetics derived by factor analysis:'impulsive shopping','conspicuous shopping','rational shopping', and 'independent shopping. Four shopper types were classified by cluster analysis of the 4 factors. The shopper types were the same as the 4 factors. total satisfaction of cosmetics was influenced by independent shopping orientation, age, brand, impulsive shopping orientation, conspicuous shopping orientation, and rational shopping orientation(R2=.217). Satisfaction of basic cosmetics was influenced by conspicuous shopping orientation. independent shopping orientation. age. rational shopping orientation, impulsive shopping orientation, and social class(R2=.407). Satisfaction of coloring cosmetics was influenced by brand, independent shopping orientation, age, and impulsive shopping orientation(R²=.167).

• Journal of Information Technology Applications and Management
• /
• v.23 no.4
• /
• pp.55-70
• /
• 2016

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.14 no.2
• /
• pp.107-115
• /
• 2018

US Retailers consider two major holiday shopping days as their most profitable-the Friday after Thanksgiving, Black Friday, and the Monday after Thanksgiving, CyberMonday. Online shopping discount events have boosted up the shopping markets resulting in pumping up National economy. For such reasons, Korea also has launched online shopping discount event, which is called 'Cyber hot days'. The primary purpose of this paper is to understand consumer behavior on Cyber hot days and suggest how retailers can harness those consumer behaviors and how government agency can support both retailers and consumers to boost up shopping markets. The results of empirical test shows that economic value, emotional value, and product variety were found to be significantly related to consumers' attitude on Cyber hot days, but convenience value, social value, and product uniqueness were not. Consumers' attitude was also found to be significantly related to the repurchase intention. It implicates that price, enjoyment, and product variety are important aspects to Korean consumers when they purchase during online shopping discount event.

• Journal of the Korean Society of Costume
• /
• v.62 no.8
• /
• pp.134-148
• /
• 2012

Social commerce is not only a new form of shopping malls that did not exist in the past, but also a new form of media as it gets combined with social networking services. The purpose of this study is to analyze the influence of clothing involvement on the relationship between shopping values, attitudes, and purchase intentions of consumers in the group-buying type of social commerce. A specialized Internet survey company carried out the survey targeting consumers in their 20s and 30s with experience of purchasing fashion products using group-buying type of social commerce. A total of 200 questionnaires were used for the final analysis. Descriptive statistics, factor analysis, t-test, and regression analysis were conducted by using SPSS 12.0 and AMOS 19.0. The results are as follows. First, diversity/informativeness, impulse/accumulation, price, convenience, reliability, interaction, and adventure were identified as shopping value dimensions. Second, especially in cases of diversity/informativeness, price, and interaction, there were significant differences between the high involvement group and the low involvement group. Third, five of the categories, which were diversity/informativeness, price, convenience, reliability, and interaction, had significant influence on attitude and purchase intention. When the attitude variable was included with shopping value as independent variables in the regression model to predict purchase intention, the attitude variable presented a full mediating effect or a partial mediating effect between shopping value and purchase intention. Also, the relationship among shopping value, attitude, and purchase intention was different to some degree according to the level of consumer clothing involvement.

• The Research Journal of the Costume Culture
• /
• v.26 no.6
• /
• pp.982-993
• /
• 2018

Consumers' interests in the environment have been growing; hence, their consciousness about the environment has changed and affected their clothing shopping behavior. Prior study indicated attitude-behavior inconsistency in eco-friendly consumer behavior. It was because consumers' consciousness or attitude was often measured at an abstract level, not at a product specific level. This study investigated eco-friendly clothing knowledge, eco-friendly clothing consciousness, and ecological clothing consumption behavior. The effects of consumers' level of clothing involvement and subjective norms in this process were also investigated. For the empirical research, a questionnaire was developed, and responses from 480 women in their 20s to 50s were statistically analyzed. Results indicated that interest and fashion consciousness dimensions of clothing involvement had a significant influence on eco-friendly clothing knowledge, which thereby significantly influenced the three factors of eco-friendly clothing consciousness: social responsibility, health orientation, and clothing resource-saving consciousness. Such factors had different roles in the clothing consumption process. Social responsibility had a significant influence on the entire process of clothing consumption: shopping, purchasing, using, and disposing behaviors. Health orientation consciousness had a significant influence on shopping and purchasing behaviors, whereas resource-saving consciousness had a significant impact only on shopping behavior. Subjective norms were significantly correlated with all aspects of the clothing consumption process. Influence on disposing behavior was relatively weaker than other aspects of clothing consumption behavior.

• Fashion & Textile Research Journal
• /
• v.17 no.3
• /
• pp.372-381
• /
• 2015

This study investigates differences in fashion products attributes, mobile shopping mall attributes, impulse buying behavior, and satisfaction according to mobile shoppingconsumption value. The findings provide new information on marketing strategy for mobile shopping malls. A total of 283 usable questionnaires were obtained from college students. Data were analyzed by frequency analysis, factor analysis, and ANOVA using SPSS 21.0 for Windows. The results were as follows. First, according to the consumption value, consumer were classified into 3 groups: social/functional oriented, indifference and epistemic/emotional oriented. Second, the conspicuous-functional pursuit group considered utility and exhibition more important in regards to fashion products attributes for the consumption value group, the personality pursuit group also considered aesthetics and utility more important than other groups. Third, conspicuous-functional pursuit group considered continuous management more importantin regards to the importance ofmobile shopping mall attributes for the consumption value group, the personality pursuit group considered informationexchange more important than the other groups. Fourth, the conspicuous-functional pursuit group and Personality pursuit group considered impulse purchase behavior more important than the emotionalpursuit group. The conspicuous-functional pursuit group considered satisfaction after impulse purchase behavior more important than other groups.

• Journal of the Korean Society of Costume
• /
• v.67 no.4
• /
• pp.21-37
• /
• 2017

Fashion market in the past had a physical structure, and the supply and demand developed within that space. However, this has changed with the development of online fashion market, as it no longer requires physical space. The purpose of this study was to examine the satisfaction level of online shopping purchase based on the purchase motivation of women in their 20's. It aimed to look into how the online media affected the market, and find ways to improve the shopping malls according to the demands of the market. This study examined the effect of female students' online shopping motivation on their satisfaction with a premise that purchase motivation is related to the satisfaction level. The researched subjects were selected among female college students, and the regression analysis was done using the collected questionnaires. Results showed that economic purchase motivation, product purchase motivation, hedonic purchase motivation, and social purchase motivation had positive correlation to satisfaction level. The most influential factors to the satisfaction level were convenient purchase motivation and product purchase motivation, then social purchase motivation in shopping. Hedonic purchase and economic purchase were less influential than other factors in online shopping. Social purchase motivation factor is least influential when compared to others. As for detailed purchase motivations affecting the satisfaction level, reasonable price, latest fashion goods, interest and fun of online shopping, and the ease of shopping were important factors. The research result indicates that alternative shopping solutions can be better understood by examining the online shopping satisfaction according to purchase motivation, and improve current online shopping malls.