• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.125-144
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• 2004

The purpose of this study is to classify customer bye-mailing responsiveness on time-series analysis and RFM module and testify the effectiveness of grouping by ROI analysis. RFM (Recency, Frequency, Monetary Value) analysis are used for customer classification that is fundamental process of e-CRM application. ROI analysis were consisted of open, click-through, duration time, conversion rate, personalization and e-mail loyalty index. Major findings are as follows; Customer segmentation were loyal customer, odds customer, dormant customer, secession customer and observation customer by Activity email module. And Loyal, dormant and secession customer are segregated by RFM module. Loyal customer group have higher point of all ROI index than other groups. These results indicated that customer responsiveness of e-mailing and RFM analysis were appropriate methods to grouping the customer. Mid-small Internet Biz adapted marketing strategy by optimization of consumer information.

• International Commerce and Information Review
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• v.17 no.2
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• pp.173-197
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• 2015

The development of IT expanded the scale of e-commerce, and grew large Internet shopping malls. As having raised the consumers' interest in overseas direct purchase(ODP) recently, the number and purchasing amount of ODP are constantly increasing. However, consumers need to pay attention to the potential problems which might happen by consumer's damage and conflict, as increasing the consumption through ODP. Because consumer's damages on utilizing ODP happen to the reason such as the trust problem between business and consumer due to the way which traded non face to face, non-compliance of goods delivery, returns, and refunds, and information asymmetry of items, a large number of consumer's damages in a wide range are much more likely to occur nowadays. The purpose of this study is to analyze the current state of ODP, and propose consumer damage's reduction and policy of the government through pre or post scheme for consumer damage's relief and consumer protection. As the compensation for consumer damages is actually inadequate, this study proposed a feasible alternative to the adoption of e-commerce insurance for both aggressive compensation and protection for consumer's damages and risk transfer and sustainable development of e-commerce.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.315-322
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• 2008

It is important to retrieve effectively the visual media such as pictures and video in the internet, especially to the application areas such as electronic art museum, e-commerce, and internet shopping malls. It is also needed in these areas to have content-based or even semantic-based multimedia retrieval instead of simple keyword-based retrieval. In our earlier research, we proposed a semantic-based visual media retrieval framework for the effective retrieval of the visual media from the internet. It uses visual media metadata and ontology based on the web service to achieve the semantic-based retrieval. In this research, there are more than one visual media service providers and one central service broker. As a preliminary step to the visual media data retrieval, a method is proposed to retrieve the service providers effectively. The method uses the structure of the ontology tree to obtain the providers and their rankings. It also uses the size of sub nodes and child nodes in the tree. It measures the rankings of providers more effectively than previous method. The experimental results show the accuracy of the method while keeping compatible speed against the existing method.

• Journal of Intelligence and Information Systems
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• v.15 no.3
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• pp.81-102
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• 2009

In this study, we investigated how to achieve differentiation for the ISM (Internet Shopping Mall) to improve profitability, which is required for survival in the fiercely competitive ISM industry. We analyzed implementation level key managerial factors that could contribute to the differentiation of the ISM. The research model is constructed through integration of two distinctive research streams of e-commerce. The one is B2C differentiation strategy research, most of which are conceptual and conducted at a strategy level, and the other is empirical research analyzing the antecedents of customer satisfaction at the ISM. This study is organized as follows. First, we draw upon transaction cost theory to organize constructs representing customer value associated with the customer buying decision process. Next, after reviewing comprehensive managerial factors that could impact on customer value, we selected 15 managerial factors that could contribute to the differentiation of the ISM to deliver value to customers. Finally, the resulting structural model is validated through empirical analyses. The results provide insights for future studies on ISM differentiation.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.222-226
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• 2010

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through these reviews. However, since online shopping malls do not provide ranking results, it is not easy for users to read all the relevant review documents effectively. Product reviews include subjective and emotional opinions. Thus, the review search is different from the general web search in terms of ranking strategy. In this paper, we propose an effective method of ranking the reviews that can reflect user's intention by using opinion mining techniques. The proposed method analyzes product reviews with query words, and sentimental polarity of subjective opinions. Through diverse experiments, we show that our proposed method outperforms conventional ones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.2
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• pp.207-213
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• 2002

Fingerprint has the characteristics that do not change with time and is unique to an individual. And fingerprint identification is considered the best choice for most biometric applications because of its accuracy, speed, reliability, non-intrusive interfaces and cost-effectiveness. In this paper, we applies fingerprint Identification to web site login to raise the quality of personal identification when we use e-commerce, internet banking, stock dealings, shopping mali, etc. The system implemented in this paper consists of embedded module to carry out fingerprint identification, web server and web site. Existing system carries out fingerprint identification in the web server, but the system Implemented in this paper carries out it in client. Therefore the loads of server are reduced and the confidence of internet service is improved because login is forbidden without fingerprint identification success.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.51-56
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• 2020

In this paper, we developed a mobile new media solution that enables e-commerce shopping mall operators, band operators, and YouTube creators to create synergies in online and offline promotion by posting related video contents on the media in addition to their own videos. By providing videos in the field of the platform without directly searching for them, it is possible to provide users with a new type of marketing means that can promote their platform while providing interest and information. Prospective creators at home and abroad who produce video can upload their own video in addition to YouTube and afreeca TV, such as the open market for video, and use independent and free charging systems to manage independent customer relationship management(CRM), self-branding, and content management. It will be possible to utilize mobile-based new media equipped with a system.

• International Commerce and Information Review
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• v.14 no.2
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• pp.497-521
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• 2012

This paper is to conduct comparative analysis of the impact of overall logistics service quality and its different influence across countries in internet shopping mall context. After reviewing the different approaches given by the literature, SEM analysis was used to testify the hypotheses. A questionnaire based on personal survey was conducted from internet shopping mall users in Korea, China, Japan. This paper collected data from 786 respondents in the countries. Structural equation modeling was also applied to these data to test relationships among the variables in the study. The empirical results of this study are summarized as follows. First, overall logistics service quality of internet shopping mall has a positive direct effect on the consumer assurance as well as consumer satisfaction. Second, consumer assurance and consumer satisfaction have mediated effects between overall logistics service quality and post-purchasing behaviors intention. Third, its effect size of the '$GLSQ{\rightarrow}$ consumer assurance' and the '$GLSQ{\rightarrow}$ consumer satisfaction' links are the same in each country. However, that of the consumer assurance and the consumer satisfaction for the organizational performance are different for each country.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.1-17
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• 2010

Association rules among product items by association analysis suggest sales effect among products. These are useful for marketing strategies such as cross-selling and product display etc. However, if we evaluate more practical product values reflecting cross-selling effects, they will be also more useful for the decisions of companies such as product item selection for product assortment and profit maximization etc. This study proposes product value evaluation models with the concept of effective value based on single-item association chain and itemset association chain. In addition to that, we performed experiments with transaction data related to clothing of an online shopping mall in Korea to show the performances of our models. In result, we confirmed that some items increased in effective values compared with their pure values while the others decreased in effective values.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.10
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• pp.1010-1014
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• 2010

Article-related product recommender system is an emerging e-commerce service which recommends items based on association in contexts between items and articles. Current services recommend based on the similarity between tags of articles and items, which is deficient not only due to the high cost in manual tagging but also low accuracies in recommendation. As a component of novel article-related item recommender system, we propose a new method for tagging item images based on pre-defined categories. We suggest a hypernetwork-based algorithm for learning association between images, which is represented by visual words, and categories of products. Learned hypernetwork are used to assign multiple tags to unlabeled item images. We show the ability of our method with a product set of real-world online shopping-mall including 1,251 product images with 10 categories. Experimental results not only show that the proposed method has competitive tagging performance compared with other classifiers but also present that the proposed multi-tagging method based on hypernetworks improves the accuracy of tagging.