• International Commerce and Information Review
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• v.8 no.2
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• pp.187-210
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• 2006

China continues to experience an expansion of its e-Commerce industry. This is true both for B2C and for B2B sectors. B2C websites are created by various players. B2C E-commerce is divided into three categories in China: online direct sale, online retail, and online booking services. Online retail remains the major form of B2C business, and online booking services and online direct sale also maintained rapid growth. The rapid growth of B2C E-commerce in China was due to three factors. Firstly, the number of Internet users is increasing, which expands E-commerce user base. Secondly, users' acceptance and recognition of E-commerce are gradually increasing. Lastly, improvement on payment, logistics and credit also provides a better and better industrial environment for B2C e-commerce. The B2C sector has seen a low transaction volume in spite of its large number of websites. The B2B sectors has seen a higher transaction volume and more stable growth than the B2C sector. There is a wide range of the total market size estimated by different sources. China's C2C market witnessed rapid growth in 2005, the market growth may slow down in 2006 and 2007, due to heavy market competition, challenges to the business model and slow corporate user growth. But there is the bottlenecks in E-commerce in China. The purpose of this paper is contribute to development E-commerce in China by finding the solutions of the bottlenecks in E-commerce in China.

• Knowledge Management Research
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• v.15 no.3
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• pp.209-228
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• 2014

The explosive growth of social commerce engenders a new business model, that is, infomediary. In a social commerce environment, infomediary works as a personal agent who provides information about various web merchants to help consumers select appropriate merchants for their needs. The purpose of this study is to identify the factors influencing consumer attitudes towards infomediaries in social commerce and examine the relationship between intention to provide word of mouth and consumer attitudes. In total, 170 responses were collected from social commerce infomediary users. The results show that competence and integrity significantly influence user attitudes as trust dimensions. Infomediary reputation and two functional factors (information variety and navigation functionality) turn out to be significant antecedents for user attitudes toward infomediary in social commerce. User attitudes in turn significantly influence the intention to provide word of mouth. Future research and practical implications are also discussed.

• International Commerce and Information Review
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• v.6 no.1
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• pp.77-98
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• 2004

This paper examines the major determinants affecting the user satisfaction on e-Trade portal sites in small and medium-sized exporters. The development of our research model is based on the empirical studies on the service quality of information system, web sites or Internet shopping mall, and on the factors influencing the user satisfaction. With the help of a regression analysis and factor analysis, five hypotheses are derived and tested. The results from regression analysis suggest that the user satisfaction of e-Trade portal sites is affected by information characteristics and ease of use of e-Trade portal sites. In addition, the user satisfaction of e-Trade portal sites is enhanced by support for international trade. Our findings will be useful, especially for those who are planning to build user-oriented e-Trade portal sites.

• Journal of Distribution Science
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• v.21 no.10
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• pp.1-9
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• 2023

Purpose: This study analyses the current development of cross-border e-commerce in China, outlines the challenges faced by Chinese cross-border e-commerce SMEs, and finally summarises the development strategies of Chinese cross-border e-commerce SMEs in the post-covid-19 era, which will provide opinion references for the development of Chinese cross-border e-commerce SMEs. Research design, data and methodology: The methodology used in this study is to analyse the current situation of cross-border e-commerce development in China in the context of covid-19 through literature; and to summarise the challenges encountered by Chinese cross-border e-commerce SMEs through semi-structured interviews. Results: The article summarises the current status of China's cross-border e-commerce development in the context of covid-19 in terms of cross-border e-commerce trade volume, cross-border e-commerce enterprise and user scale, cross-border e-commerce logistics, cross-border e-commerce global co-operation, government policy, and cross-border e-commerce product distribution, outlining challenges encountered by China's cross-border e-commerce SMEs in terms of logistic pricing, operating capital chain, product service support, and trade protection The paper Finally, it is pointed out that Chinese cross-border e-commerce SMEs must adopt new strategies to adapt to the new development in the context of covid-19. Conclusions: Specific development strategies are provided for Chinese cross-border e-commerce enterprises and reference suggestions are provided for the post-covid-19 era.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.244-246
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• 2002

The rapid increase of E-commerce market requires a solution to assist the buyer to find his or her interested items. The intelligent agent model is one of the approaches to help the buyers in purchasing items in outline market. In this paper, the user query processing model in the item recommendation agent is proposed. In the proposed model, the retrieval result is affected by the automatically generated queries from user preference information as well as the queries explicitly given by user. Therefore, the proposed model can provide the customized search results to each user.

• Convergence Security Journal
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• v.5 no.2
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• pp.29-36
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• 2005

The industrial structure of the Internet is changing from off-line to on-line. E-commerce on the Internet will be formed a big market by developing of network. E-commerce on the Internet is natural. And it will be increase in interest of many people. By the way, it must support to institutional and technical problem. First of all, we need user authentication technique. In this paper, we described about safe Electronic shopping mall construction and operation by three main categories. First is security solution method of E-commerce, Second is analyzing about various threats and vulnerability when is user authentication in Electronic shopping mall. Third is to propose countermeasures of that.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.277-283
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• 2022

The purpose of this study is to study the user experience that provides psychological stability when paying for mobile e-commerce pay one-touch. Through literature and case studies, e-commerce pay one-touch payments were identified, and user experiences were investigated through surveys and in-depth interviews. The survey based on Aaron Walter's model of user needs received a high average of functionality and usability for one-touch payments, but reliability and stability were somewhat low. Afterwards, four design improvement plans were presented to supplement psychological stability by analyzing in-depth interviews conducted based on the User's Eye View of User Experience Design model. This study is expected to be helpful in basic research on the payment experience where you can feel stable when taking one-touch payments.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.273-299
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• 2013

This study attempts to identify user perceived value as a major predictor of the usage of smartphone-based mobile commerce(m-commerce). More specifically, the study conceptualizes user perceived value of smartphone-based m-commerce along three dimensions, such as temporal, functional, and economic values. Moreover, this study proposes service ubiquity and user control that are uniquely defining characteristics of smartphone-based m-commerce and examines how the two variables are associated with the creation of user perceived value. Using a total of 164 data collected on users of smartphone-based mcommerce, we conducted PLS analysis to test the proposed model and hypotheses. The key findings are as follows : First, it has been found that the usage of smartphone-based m-commerce is determined by the three values, such as temporal, functional, and economic values. Particularly, the results show that temporal value is the most influential variable in predicting m-commerce use. Second, the results demonstrate that service ubiquity has a significant positive effect on temporal value, whereas it has no effect on functional value. Finally, user control is positively associated with temporal and functional values. Overall, the results indicate that service ubiquity and user control considerably increase temporal value, thereby accelerating the use of smartphone-based m-commerce. Discussions and implications of the results are provided.

• International Commerce and Information Review
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• v.10 no.3
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• pp.117-140
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• 2008

The purposes of the study are to measure the relative importance of independent variables, to analyze relation between user satisfaction and use, and to improve the level of user satisfaction in using e-Trade system(uTradeHub). The study develops the independent variables in three dimensions(i.e the quality of system, quality of information, and quality of service), estimates the level of satisfaction on a par with these variables, and analyzes the causal relation of these variables. The major findings of the study are as follows. First, there is a significant casual relationship between the quality of system and user satisfaction, thus the hypothesis is accepted. Second, there is a significant casual relationship between the quality of information and user satisfaction, thus the hypothesis is accepted. Third, there is a significant casual relationship between the quality of service and user satisfaction, thus the hypothesis is accepted. Final, there is a significant casual relationship between the user satisfaction and use, thus the hypothesis is accepted.