• Journal of Fashion Business
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• v.12 no.6
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• pp.124-137
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• 2008

The present study was implemented to understand high school girls' buying patterns of fashion products at online and offline shopping malls; and to obtain the information needed for the development of online and offline mall marketing strategies that are differentiated from each other. The study was conducted through a descriptive survey method using questionnaires. The sample consisted of 242 girls from four high schools located in Seoul. Descriptive statistics, cross-tabulation and a paired t-test were used for the analysis of the data. Results are as follows: First, most of the high school girls (82.2%) had experience of purchasing fashion products at online shopping malls. And, those who have purchasing experience at online shopping malls, compared to those who do not have such purchasing experience, showed a higher purchasing intension at online shopping malls. Second, both the degree of pre-purchase searching and ongoing searching was higher in online shopping than in offline shopping. Third, the quality of material, place produced, brand name, and store atmosphere/type were considered more in offline shopping than in online shopping. Shopping convenience and information service about the products were considered more in online shopping than in offline shopping. Fourth, the purchasing frequency of underwear and hair accessaries was higher at offline stores than online shopping malls, but the purchasing frequency of bags was higher in online stores than offline stores. When the differences between the purchasing patterns at online shopping malls and offline stores are considered carefully, marketing activities would be more effective.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.5
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• pp.764-774
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• 2009

The purpose of this study is to investigate the differences in consumer clothing shopping orientation and shopping behaviors by the multi-selection of internet and offline stores. The data were collected from 201 men and women in their twenties and the respondents were grouped into three as internet-store users, multi-store users, and offline-store users. The data were analyzed using factor analysis, ANOVA, post-hoc analysis, frequency analysis, and chi-square analysis. The results are as following. First, the clothing shopping orientation was partly different among the groups. Regarding the offline shopping orientation, the groups showed difference in the impulsive orientation, and regarding the online shopping orientation, the groups showed differences in the goal oriented and enjoying orientation. In all the three cases, the internet users showed strongest orientation, and the next were multi-store users and offline-store users. The cause of these results were explained as the familiarity and experience with the channel. Second, the clothing shopping behaviors were also partly different among the groups. The groups showed no differences in the preferred store type and benefits sought, but showed significant difference in the attitude toward the internet shopping. The internet-store users showed most positive attitude, and the next were multi-store users and offline-store users.

• Fourth Industrial Review
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• v.2 no.2
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• pp.25-37
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• 2022

Purpose - The purposes of this research are: (1) Building and testing a research model that integrates Theory of Reasoned Action (TRA) with fear, perceived risk, and health protocols; (2) Examining the impact of compliance with health protocols on consumer behavior when offline shopping. Research design, data, and methodology - The data collection uses the self-administered survey method, and the questionnaire is distributed online. A total of 504 Indonesian population aged 18 years old or more participate in this research. Data are analyzed using factor analysis, multiple regression, and multiple regression with interaction. Result - This study reveals several findings: (1) Attitude and subjective norm have a significant effect on offline shopping behavior; (2) fear has a direct and indirect effect on offline shopping behavior; (3) the effect of perceived risk on the intensity of offline shopping is determined by compliance with health protocols. Conclusion - This paper discusses the direct influence of attitudes and subjective norms on behavior. This research also integrates fear, perceived risk, and health protocol factors in TRA, which may not have been done much, especially in the COVID-19 pandemic context.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.321-333
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• 2014

This study grouped on/offline browsing consumer types according to on/offline browsing consumer behavior and investigated the differences in shopping orientation, impulse buying, and fashion goods expenditure ratio in on/offline markets based on on/offline browsing types. Data were obtained from 379 consumers aged 10 to 40 in Daejeon Korea. The data were analyzed using factor analysis, cluster analysis and ANOVA. The result were as following. First, respondents were classified into four group by on/offline browsing behavior (high offline browsing group, low on/offline browsing group, high on/offline browsing group, and high online browsing group). Second, there were significant differences among groups in the shopping orientation (except for efficient shopping orientation). Third, groups showed differences in impulse buying and fashion goods expenditure ratio in on/offline markets. This information will benefit marketers in the use of multichannel consumer strategies.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.1-12
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• 2017

Item-based collaborative filtering (IBCF) is an important technology that is widely used in recommender system of online shopping malls. It uses historical information to compute item-item similarity and make predictions. However, in offline shopping each customer's purchasing pattern can be occurred continuously and repeatedly due to time and space constraints contrast to online shopping. Those facts can make IBCF to have limitations from being applied to offline shopping malls directly. In order to improve the quality of recommendations made by IBCF in offline shopping mall, we propose an ensemble approach that considers both item-item similarity of IBCF and each customer's purchasing patterns which are modeled by item networks. Our experimental results show that this approach produces recommendation results superior to those of existing works such as pure IBCF or bestseller approaches.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.1
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• pp.92-103
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• 2009

The study is interested in the consumer's mixed choice of the internet and the offline stores. Therefore the purpose of study is to investigate if the clothing shopping orientation of consumers varies when they shop internet and offline, instead of classifying consumers into internet shoppers and offline shoppers. For the purpose, quantitative survey was carried out using 201 questionnaires from men and women in their twenties. The data were analyzed using factor analysis, Pearson's correlation analysis, Spearman's rank order correlation coefficient, t-test, and frequency analysis. The results are as following. First, the clothing shopping orientation structures of offline and internet stores were different each other. As the result of factor analysis, positive, brand oriented, economic, convenient conformity, convenient impulsive factors were extracted from offline store and rational, enjoying, goal oriented, conformity, brand oriented, convenient impulsive purchase factors were extracted from internet store respectively. Second, as the results of investigating the relationship between the clothing shopping orientation structures of offline and internet stores, positive(off)-enjoying(on), brand oriented(off)-brand oriented(on), convenient conformity(off)-conformity(on) had strong correlation s and the rest were peculiar to the each store type. Specifically, the goal oriented factor peculiar to the internet store was noticeable. Third, as the results of investigating the differences between clothing shopping orientation of offline and internet stores, the ranks of strong orientation dimension were different between two channels. As well, the mean differences were significant in goal oriented, conformity, brand oriented, and convenient impulsive purchase dimensions. This study has the significance that it investigated the variance of clothing shopping orientation according to the mixed selection trend of internet/offline.

• Journal of Distribution Science
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• v.22 no.5
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• pp.67-79
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• 2024

Purpose: The purpose of this study is to shopping medium determinants and consumer behavior differences based on the value of consumption. Methodology: The subjects of the survey were adult men and women in their 20s or older living in Korea, and 283 valid responses were obtained. A Logit model was used to identify consumption value factors and shopping medium choices. A t-test was conducted to analyze the differences between consumer behavior based on preferred shopping medium (on/offline). Results: The inclusion of community-oriented factors such as eco-friendliness and social contributions lead to higher likelihood of choosing offline shopping. In addition, consumers who value self-expression and who are price sensitive are more likely to choose online stores. Conclusions: It was found that community-oriented factors lead shoppers to choose offline shopping, and the need for self-expression lead shoppers to choose online stores.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.185-203
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• 2009

The literature reveals that service quality is critical determinants affecting customer satisfaction in the retail industry. Recent online B2C studies also show that service quality significantly influences online customer satisfaction. However, research on analyzing antecedents to determine the service quality level of online shopping has not been sufficiently reported. Moreover, the offline synergy effect on the Internet shopping mall has been presented mostly at a conceptual level. The purpose of this study is to investigate key managerial variables exploiting offline synergy, including pure online attributes, that impact on service quality of the click and mortar Internet shopping mall. A survey was conducted for empirical validation of the hypotheses. The results indicate that core offline synergy factors significantly enhance the perceived service quality level of the Internet shopping mall. Implications, limitations, and future research directions are also discussed.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.743-753
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• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.467-481
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• 2013

The study examined the main effect of the reward channel and reward time of customer loyalty programs for on-offline shopping channels; in addition, it investigated the interaction effect of the reward channels and merchandise as well as the interaction effect of the reward time and merchandise. An online apparel shopping web experiment was conducted with a 2 (reward channel: online channel reward vs. offline channel reward) ${\times}2$ (reward time: immediate vs. delayed) ${\times}2$ (merchandise: online channel product vs. offline channel products) between-subject factorial design. An online shopping channel was considered the core-shopping channel and a department store was considered the cross-shopping channel. Loyalty program value, core-channel loyalty and cross-channel loyalty were measured as dependent variables. A total of 845 shoppers (who had experiences in shopping in both channels) participated in the experiment. The results of the study revealed (1) the main effect of the reward channel on loyalty program value, core-channel loyalty and cross-channel loyalty [online>offline channel rewards], (2) the main effect of reward time on loyalty program value, core-channel loyalty and cross-channel loyalty [immediate>delayed reward], and (3) the interaction effect of the reward channel and merchandise on loyalty program value, core-channel loyalty, and cross-channel loyalty. (4) Finally the study found that loyalty program value affected cross-channel loyalty indirectly through core-channel loyalty. This study suggested diverse theoretical and managerial implications for multi-channel retailers.