• Journal of Fashion Business
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• v.12 no.6
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• pp.138-151
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• 2008

This study aims at providing comprehensive data which would be helpful to establish a web shopping mall by analyzing the structure of web fashion star shops which have recently emerged as a result of advances in digital technology and communication. For the purpose of analyzing VMD strategy used in web fashion star shop, we adopt both of the documental and empirical research methods, based on which we examine the concept of E-commerce and current business situation of web fashion star shop industry, and then analyze the main page, product category page and product detail page in a star shop featured by a male pop star within a web shopping mall. According to our analysis of the structure of web fashion star shop, in case of open market, a banner with star's image on it leads to star shop when people click on the link of the banner, and in case of independent mall, they show each star's unique style in the main page. Product category page is linked to each product detail page which presents items of various fashion coordinates, satisfying needs of consumers to follow star's trendy fashion sense.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.4
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• pp.57-71
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• 2018

Since consumers have become more comfortable with providing and receiving information online, 'online word of mouth' has been gaining consideration as one of the major information sources. Also, the shopping orientation of consumers has been proven to be an important determinant of consumer behavior. Therefore, the study investigated the differences in online WOM behavior based on shopping orientation. Hedonic, loyal, and syntonic styles were the types of shopping orientation considered, and the study focused on information retrieval tendencies, the motivation of online WOM search, searching online WOM sources, and the contents for the online WOM behavior. The research conducted an off-line survey targeting females in their twenties. The total number of data sets used in the empirical study was 125, and these were analyzed by SPSS 20.0: factors analysis, Cronbach's ${\alpha}$, k-means cluster, ANOVA, Duncan's multiple range test, Kruskal-Wallis, Mann-Whitney, and Bonferroni correction. The participants were divided into 3 kinds of shopping orientation groups named 'trend-pursuit', 'passive', and 'loyal'. As a result, there were significant differences in online WOM behavior discovered between the groups. Firstly, the 'trend-pursuit' group had the highest number of ongoing searches while the 'loyal' group had the highest number of pre-purchase search. Secondly, the 'trend-pursuit' and 'loyal' groups both had the motivations of online WOM search, hedonic and utility, whereas the 'passive' group had the lowest motivations for both motivations. Thirdly, the 'loyal' group frequently referred to reviews on shopping malls as online WOM sources. The research provided a better understanding of the online WOM behavior of present consumers and suggests that fashion related corporations map out marketing strategies with the understanding of these behaviors.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.67-81
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• 2010

Consumer researchers found that compulsive buying was a part of a category of compulsive consumption that was interrelated to addictive and repetitive behaviors. The present study empirically examined the co-morbidity of compulsive buying and Internet addiction among e-commerce users in terms of consumption disorders. Although the prevalence of Internet use and on-line sales remarkably increase in recent years, almost no study examines on-line compulsive buying behavior. This study explored the link between compulsive buying and Internet addiction among e-commerce users, and investigated the characteristics of on-line shoppers with respect to two forms of compulsive consumption, which were divided into compulsive buying and Internet addiction. Additionally, factors that related to compulsive buying behaviors among e-commerce users were also examined. The present research was conducted using a convenience sample of 394 young adults between the ages of 20-30, and the Faber and O'Guinn's DSCB scale and the Widyanto's Internet addiction scale (IA) were used. Confirmatory factor analyses were utilized to evaluate the structure of the DSCB and IA, and a Probit model was used to examine determinants for the compulsive buying behaviors of e-commerce users. E-commerce users were classified into four groups; high compulsion and high addiction, low compulsion and low addiction, high compulsion and low addiction, and low compulsion and high addiction. Consumers with high compulsion and high addiction spent higher amounts of money on their on-line purchases and were frequently connected with the Internet compared to the three other consumer groups. Consumers with compulsive buying behaviors were also found to have significantly greater Internet addiction tendencies than typical buyers. Compulsive buyers were more likely to engage in Internet addiction and the number of purchasing via on-line shopping mall, and had higher materialism. Policy implications and suggestions for consumer education programs were discussed.

• Journal of the Korean Home Economics Association
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• v.38 no.12
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• pp.111-129
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• 2000

The purpose of this study is to investigate the level of consumer instantly impulse buying in cuber market user. Also this study analyzes causal effect on consumer instantly impulse purchasing by demographic and social, place and promotion, consumer emotion state, and consumer internal and psychological variables. The data had been collected from on-line research method with 1,034, as using cuber market. The major statistical methods used for data analysis are frequency, percentile, mean, factor analysis, multiple regression analysis, Pearson's correlation analysis, and path analysis. The result of causal effect analysis were as follows; First, the variables affecting possession oriented materialism were sex and age. Second, the variables affecting self-control were sex, income, account of credit card, and instantly state of mind. Third, variables directly affecting instantly impulse purchasing were serif employed, banner advertisement, experience of cuber shopping, shopping mall pattern, instantly state of mind, purpose of shopping, happiness and success oriented materialism, and self-control. Also sex, income account of credit card, and instantly state of mind emerge to indirectly effect via self-control. Especially, the variables of success oriented materialism and instantly state of mind influenced on the highest of relative variables in consumer instantly impulse purchasing.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.832-846
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• 2020

Service organizations increasingly adopt data-based intelligent engines called chatbots in support of the interaction between customers and the companies. Two different types of chatbots have been suggested and introduced by companies leading the adoption of this emerging technology: rule-based chatbots and natural language processing-based chatbots. While the differences between these two types of technologies look relatively clear, the organizational and practical impacts of the differences have not been systematically explored. This study performed an experiment to compare the use of the two different types of chatbots used in practice by two comparable organizations. These two types of actual chatbots were used by Korean on-line shopping malls with similar business models (mobile shopping), length of history, size and reputation. The comparison was made based on such dimensions as usability, searchability, reliability and attractiveness. Contraty to conventional expectation that the superiority in technology will produce superior usability, the results show mixed superiority. The discussion on the reasons is presented.

• Information Systems Review
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• v.9 no.3
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• pp.99-132
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• 2007

As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.507-519
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• 2006

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.1-15
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• 2005

The explosive growth of the Internet leads to various on-line shopping malls and active E-Commerce. however, as the internet has experienced continuous growth, users have to face a variety and a huge amount of items, and often waste a lot of time on purchasing items that are relevant to their interests. To overcome this problem the comparison shopping systems, which can help to compare items' information with those other shopping malls, have been issued as a solution. However, when users do not have much knowledge what they want to find, a keyword-based searching in the existing comparison shopping systems lead users to waste time for searching information. Thereby, the performance is fell down. To solve this problem in this research, we suggest the Comparison Shopping System using Image Retrieval based on Semantic Web. The proposed system can assist users who don't know items' information that they want to find and serve users for quickly comparing information among the items. In the proposed system we use semantic web technology. We insert the Semantic Annotation based on Ontology into items' image of each shopping mall. Consequently, we employ those images for searching the items instead of using a complex keyword. In order to evaluate performance of the proposed system we compare our experimental results with those of Keyword-based Comparison Shopping System and simple Semantic Web-based Comparison Shopping System. Our result shows that the proposed system has improved performance in comparison with the other systems.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.4
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• pp.85-104
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• 2003

Customer retention is more emphasized for internet business than off-line shopping-malls. The loyals not only purchase a lot but also recommend the mall to new customers quickly using internet media, and there have been many studies on this subject. In this study, customer satisfaction and trust are suggested as preceding variables that have an influence on customer loyalty, and switching gains are suggested as a moderating variable between customer satisfaction & trust and customer loyalty. Many people think it would be easier to change business connection and customer loyalty for internet shopping-malls would be very low. This study, however, concluded that customer satisfaction and trust had a significant influence on customer loyalty even in internet shopping-mall, and that switching gains had moderating effect between satisfaction-attitudinal loyalty and trust-behavioral loyalty. These results are meaningful in that customer satisfaction or trust should be emphasized even on internet business and that switching gains can be strategic focus in building up customer loyalty and retention.

• International Journal of Costume and Fashion
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• v.18 no.2
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• pp.85-100
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• 2018

The purpose of this study is to research the level of emotional responses and corresponding behavioral responses of consumers who have experienced out-of-stock (OOS) shopping. Answers were gathered from 526 people in the 20-49 year age range, residing in a metropolitan area. SPSS 18.0 was used to perform factor analysis, reliability measures and regression analysis. The subordinate concept of emotional responses from consumers who experience an OOS event while at an on online shopping mall is the first subject of research for this study; this is tied in with three central factors; namely, anger/annoyance, anxiety and feeling regret. These can be further categorized into a positive emotional response and a negative emotional response. The experiment scrutinizes how emotional responses towards an OOS event experience affect behavioral responses. It then focuses on positive emotional responses as the second subject of this research: namely, how regret significantly affects the product substitution (S), and how anger/annoyance, anxiety and regret significantly influence a delayed purchase (D). Anger/annoyance, anxiety and regret significantly affect the incomplete store switch over (L1), and anger/annoyance and anxiety significantly influence the complete store switch over (L2).