• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.27-45
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• 2004

While on-line shopping is increasing, the "Consumer Protection Law in Electronic Commerce" obliges each internet shopping mall to provide its business information. Although most internet shopping malls provide their business information in the semi-structured format on the bottom of their homepages, the attributes and expression forms of business information are different each other. It makes consumers difficult to identify their business information and lowers public confidence. Hence this study proposes three approaches - HTML-based structure, XML-based structure, and XML data island-based structure - to structuralizing business information for correct expression. The experiment results showed that the business information extraction time by XML data island-based structure is independent of the size of the web document, while the time by HTML-based structure is dependent on the size. By comparing the business information extraction times, we show that XML data island-based structure is more efficient and effective than HTML-based structure.structure.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.618-624
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• 2004

This study is to explore how consumers' needs for tactile cues affect their purchasing behaviors in the internet shopping mall. Since previous studies about internet shopping malls are mainly performed on the primary factors of perceived risk, there are insufficient studies of tactile cues for apparel products. Emphasis of this study is placed on verifying the following hypothesis; it is expected that consumers' needs for tactile cues affect apparel purchasing behaviors in internet shopping. The questionnaire was administered to 20 to 30 year old male and female respondents who are either students or businessmen living in the Busan area. 150 questionnaires were completed and collected for data analysis. The data were, using SPSS 10. 0 for Window, statistically analyzed by frequency and factor analysis for VARIMAX, Cronbach's coefficient and Linear regression analysis. Data were, using SPSS 10. 0 for Window, statistically analyzed by frequency and factor analysis for VARIMAX, Cronbach's coefficient, and ANOVA. The results of data analysis are as follows: First, the tactile cues negatively affect purchase intentions of consumers. This shows that apparel internet shoppers who have high desire for tactical cues tend to avoid purchasing products through the internet. Second, the factor analysis of the moderating effect on perceived risks shows that the perceived risks significantly moderate both the tactile cues and purchase intention of consumers. Third, analysis of purchased experience also shows that purchased experiences significantly moderate both the tactile cues and purchase intention.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.251-258
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• 2008

The purpose of this study is to examine the structural relationship among logistics service quality, relationship-orientation for on-line shopping malls, customer satisfaction and repurchase intention in on-line shopping malls. Based on extensive review of relevant literature, nine components of logistics service quality and six components of relationship orientation are introduced in this study. And a conceptual model is developed and four research hypotheses are empirically examined using structural equation modeling. The findings indicate that logistics service quality is positively and significantly associated with customer satisfaction, and relationship- orientation is the antecedent variable of repurchase intention in the on-line shopping mall. In conclusion, it is revealed that logistics service quality and relationship-orientation play a major role in the success of on-line shopping mall.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.57-65
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• 2019

In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.73-96
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• 2003

Shopping is a work and fun for a consumer. Retailers satisfy social and physiological needs through various experiences as well as economic and rational. Do offer online shopping malls fun and hedonic experiences that offline retailers do? This study applied the hedonic-experiential value relating to the consumption dimension of fun and excitement to online shopping. Especially, a model of online hedonic-experiential value, consisted of its antecedents and consequences, was developed and identified through a survey(n=436). As the result, graphic & multi-media, site structure & design, customer services, payment, individualization, product assortment & display, interactivity, dynamic pricing factors influence online hedonic-experiential value. Also, online hedonic-experiential value significantly related to revisiting, purchasing, and word-of mouth intention of the shopping site. The implications for online retailer are discussed and further research is suggested.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.21-43
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• 2002

This paper examines internet shopping mall members' relationship quality and its antecedents variables. For this purpose, five types of membership customers' perceived variables, including convenience, product assortment, product information, shopping mall design, and service quality are proposed to affect customer satisfaction and consequently relationship quality. This study, which used data from customers of membership internet shopping malls, showed satisfactory data-fit to the proposed model and except product information hypothesis, supported all of research hypotheses. Also four types of membership customers' perceived variables(convenience, product assortment, shopping mall design, and service quality) take significant effect on customer satisfaction, and the satisfaction in turn have influence on relationship quality.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.131-149
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• 2003

This paper examines internet shopping mall user's customer satisfaction and their consequent attitude and customer loyalty behaviors. For this purpose, internet shopping mall user's customer satisfaction is proposed to affect trust, and commitment, and consequently to influence customer loyalty behaviors. This study, which used data from customers of internet shopping malls, showed satisfactory data-fit of the proposed model and supported five of the six research hypotheses. The empirical results indicated that customer satisfaction take significant effect on trust, and commitment, and the trust and commitment in turn have strong influence on customer's loyalty behaviors. It was confirmed that both trust and commitment variables are effective mediators linking internet shopping mall user's customer satisfaction and their loyalty behaviors.

• Journal of Korean Society for Quality Management
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• v.29 no.1
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• pp.160-172
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• 2001

The purpose of this study is to develop a successful strategy that can satisfy customer needs effectively based on the recognition of cognitive gaps toward the Internet shopping mall between managers and customers. Internet shopping mall becomes a main cyber space for future shopping, Despite some pessimistic view on the future of cyber shopping, the amount of purchase in Internet shopping has increased continuously and dramatically. In order to compare and analyze the cognitive difference between managers and customers, this study investigates the view of managers as Internet shopping mall operators as well as that of customers. Questionnaires and brief interviews were carried out to collect empirical data. Empirical results find the significant cognitive gap in the perception of importance of factors affecting shopping malls between managers and customers. After analysing the empirical data with statistical methods, this study finds that six of nine factors show significantly different views in perception of Internet shopping mall between managers and customers. The findings of this study can be employed to implement an Internet shopping mall strategy to better serve customer needs and requirements to gain competitive advantage in this emerging market with growing competition.

• The Journal of Economics, Marketing and Management
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• v.11 no.1
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• pp.21-30
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• 2023

Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

• 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.