• International Journal of Contents
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• v.6 no.4
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• pp.62-68
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• 2010

More and more researchers and practitioners in the field of e-commerce are paying attentions to the retention of online customers. However, only a few researches can be addressed in the context of internet shopping mall repurchase intention. This study aims at investigating and delineating the important characteristic factors which affect consumers' repurchase intentions by conducting an empirical analysis. In order to fulfill this purpose effectively, a comprehensive review of previous studies regarding information system success model was performed in order to render a stronger theoretical foundation for our study. Finally, based on the DeLone and McLean (2003) IS success model, information quality, system quality, service quality, customer satisfaction and repurchase intention were employed as five constructs in the research model and hypotheses on mutual relationships between these constructs were established accordingly. Structural equation modeling was employed to analyze the data collected from 204 internet shopping mall consumers in China. Our theoretical model exhibited a good fit with the observed data. The empirical results showed particularly strong support for the effects of information quality, service quality and user satisfaction. The findings of this research contributed to the extension of repurchase intention study in the context of Internet shopping malls. Our research also offered implications for practitioners in regards to devising internet shopping malls so as to increase consumers' repurchase intention to use these services.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.12a
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• pp.65-80
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• 1999

The Electronic Commerce is expected as one of the most prospective industries in the 21th century. This research developed a survey and analysis is based on the results of the service quality model and previous research of the service quality in MIS. Service quality, one instrument developed by the marketing area, is provided as a possible measure of internet shopping mall. Service quality measure five service dimensions of tangible, reliability, responsiveness, assurance and empathy. The main purposes of this study are to develop an exploratory model based on service quality that can explain the factors of customer's perceived service quality and investigate how these factors are related to consumer satisfaction. This study also focus on relationships among service quality, consumer satisfaction, and purchase intentions. The results of this survey are summarized as follows: (1) Reliability and responsiveness of internet shopping mall are evaluated as very important factors, (2) Service quality is an antecedent of consumer satisfaction, (3) Consumer satisfaction has a significant effect on purchase intentions.

• Fashion & Textile Research Journal
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• v.12 no.6
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• pp.745-754
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• 2010

This study is to find return factors when modern consumers purchase goods from an internet shopping mall and then to analyze the characteristics of complaints act and information search behavior. Subjects of research are 245 men and women, who have experience with more than one return in internet fashion shopping mall, in their twenties. The data were analyzed by using Factor analysis, Cronbach's analysis, one-way ANOVA, Duncan test as a post identification, Pearson's correlation analysis and multiple regression analysis. The results of this study are that male and female consumers in their 20s are mainly aware of the return factors: impulse buying, product status, deliver service, service after purchase, hype and comfortableness. And complains behavior often conduct public action, private action, nonaction. Information search behaviors for risk reduction when they purchase are product comparison, oral information search, neutral marketing information search, and service information search. The return factor from the internet fashion shopping had the greatest impact on public action and deliver services factor was a big complaint. In addition, impulse buying & Hype affect private action and non-action is influenced by impulse purchase. The consumer types by the return factors in internet fashion shopping mall are classified into the return group by deliver service, the return group by complex factors, and the return group by product status. Furthermore, there are significant differences in complaining behavior among these groups. In the information search behavior for reduction of risk factors, the return group by complex factors did more active information search behavior than the other groups. The return group by deliver service searched oral information and the return group by product status explored the neutral marketing information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4385-4393
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• 2011

Doctor-shopping which has a tendency to seek out alternative opinions when they got diagnosed by a doctor is increasing nowadays. The purpose of this study is to examine the relationship between the doctor-shopping behavior of Korean and the related variables. Questionnaires have been distributed from 2009/10/16 to 2009/11/16 and the sample size of this study is 223 people in Korea who experienced of medical service for disease treatment purpose. Among the six independent variables, confidence in doctor's ability variable and trust of the Internet information variable have correlation with the doctor-shopping behavior. With the development of Internet and raise of consciousness toward consumer right, the consumers are now selecting doctors slightly as if they go shopping.

• Korean Management Science Review
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• v.23 no.1
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• pp.43-61
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• 2006

This research is an empirical investigation into the dimensions determining the website quality of domestic online shopping malls. A research model that has been formed to find the website quality dimensions is based on DeLone and McLean's information system success model that we adapted to fit the B2C electronic commerce environment by incorporating existing research on IS service quality and website quality. The model incorporates three quality dimensions including the information quality, system quality and service quality, and an attempt was made to empirically examine the relationship between variables of these dimensions and the revisit intent. The results of the study revealed that five quality-related variables were found to importantly contribute to the user's intent to revisit a site : the information accuracy and relevancy, system reliability, ease of use, and on-line support. The paper concludes that the three quality dimensions can serve as a useful framework to evaluate the quality of online shopping mall websites in an attempt to improve the website revisit rate.

• The Journal of Society for e-Business Studies
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• v.3 no.2
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• pp.57-71
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• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.11-16
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• 2002

Nowday, Cyber shopping mall increased market size. The Consumer Behavior chainged new trend. This study on the systematic access to establishment of the concept of cyber shopping mall as well as to problems to overall parts of EC service as well is required. The objectives of this study are that how service consumers perceive the quality of EC service, and that what effect the quality makes on their satisfaction and re-purchase intention. This means that the research enables a marketing manager to take the meaning of comparative weight among the components of EC service quality, and to provide very useful information to establish marketing strategies which are close to the consumers.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.21-33
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• 2016

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

• Journal of Fashion Business
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• v.24 no.4
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• pp.85-98
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• 2020

The Internet of Things (IoT) shopping environment can provide benefits and risks to consumers, including shopping convenience and invasion of consumer rights, respectively. We experimentally tested whether exposure to information regarding the benefits and risks of IoT shopping would elicit changes to consumer perceptions of the importance of shopping convenience and rights to information, as well as shopping intention among young online shopping consumers. The participants (N=218) were randomly assigned into one of two experimental conditions. The control group was exposed to a news article and a video emphasizing the shopping convenience of the Amazon Dash Button service, while the experimental group was exposed to the same news article and video provided to the control group, along with a news article about the judgment of the Munich court that the Dash Button violates German consumer law. We found an interaction effect of experimental condition and time on changes to the perceived importance of shopping convenience and shopping intention. The changes to the perceived relative importance of shopping convenience to consumer rights to information from pre- to post-manipulation differed significantly between the two experimental groups. The results of this study emphasize the importance of providing information on both the benefits and risks of IoT shopping. This was the first experimental study to examine the possibility of the invasion of consumer rights to information in the IoT shopping environment. This study urges researchers, marketers, and policy makers to focus more on consumer rights to information in the newly coming IoT shopping environment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.383-386
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• 2001

In this paper, we propose a new personalized information service method using multiple regression analysis for Internet shopping malls. We then apply the proposed method to Internet bookstore, and compare personalized Internet bookstore providing personalized book information with ordinary Internet bookstore providing random book information. Experiment results show that the personalization of Internet bookstore increases satisfaction and purchasing intent of customers.