• The Journal of Society for e-Business Studies
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• v.11 no.2
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• pp.31-48
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• 2006

Commercial internet auction systems have been successfully used recently. In those systems, because auction prices of auction items are given by sellers only, the success bid rate can be decreased due to the large difference between the reserve price and the normal price. In this paper, we propose an agent that generates auction prices to sellers based on past auction data and item prices gathered from the web Through performance experiments, we show that the successful bid rate increases by preventing sellers from making unreasonable reserve prices. Using the pricing agent, we design and implement an XML-based auction system on the web.

• Information Systems Review
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• v.11 no.3
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• pp.83-106
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• 2009

Trust is becoming one of the critical forces that drive consumers into purchases in e-marketplaces, as consumers face uncertainty associated with buying online from unknown sellers. In this paper we propose a consumer trust model specifically designed for an online marketplace. It aims at examining how intermediary and site characteristics of an e-marketplace affect factors of trustworthiness, and understanding the relationship between trustworthiness factors and trust in intermediary. Findings from an empirical analysis indicate that both intermediary and site characteristics are positively associated with factors of trustworthiness - namely, competence, integrity, and benevolence. In addition, all the three factors of trustworthiness were found to have positive relationship with overall trust in intermediary; in particular, integrity had higher association with trust than the other two factors. The paper concludes with suggestions for building consumer trust for the owners of online marketplaces.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.7-24
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• 2010

This study tried to develop the confidence indicators and evaluation factors of credibility according to the types of online information by nationwide large scale online survey. The main results are summarized as follows: i) confidence indicators by types of online information: information on news sites(72.553), financial companies(68.894), government sites(67.938), cafe(66.464), portal sites(65.001), collective intelligence sites(63.489), nonprofit organization (63.392), company/corporation sites(59.789), blog(59.066), online community sites(55.609), e-commerce sites(55.118), mini-homepage(50.695). ii) 'Widely known site' or 'famous site' is the most important factor for all types of online information. User opinions like as posting or comment are major factors for sites of cafe, blog, mini-homepage, online community, collective intelligence etc. and 'name recognition' and 'reputation' are main factors for site of financial company, corporation, government, nonprofit organization.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.77-83
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• 2011

With the development of online shopping and the rapid growth of IT technology, among various forms of online shopping the intense competition also more deepen. So in online shopping and offline shopping can get differentiation characteristics of competitiveness, so our marketing target is the couples and planning to couples' activity is necessary. In this research, it is planning and implement an web site to design and implement sales strategies for the young people. For this, we analysis based on the existing commercial site's event planning of couples, design and suggest strategy for increasing sales, construct a web site with couples' birthday marketing strategy and various commemorative activities and customer visit web sites with activities more prominent as the goal, and with marketing planning and information configuration as the centre. This is expected to be through to increase effect of the part of the object by customer group activities to improve sales.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.149-157
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• 2002

Todays, electronic commerce(EC) results to the revolution and new paradigm of business, more and more Web-based EC applications have emerged. But, it's web systems should be satisfied by customers and it should be successful to buying some goods in virtual stores with easy to use. The usability and acceptance of the EC web system is one of the key factors in the successful construction of EC system. In this paper, we considered the characteristics of information search and decision making process in the design of EC web system to be used easily and to be more acceptable to customers. On the basis of these characteristics, we could classified with the activities of the process of buying in the domestic web systems. And, the log files of experimental tasks were analyzed by the statistical method of data mining. As the these results, the important factors of the process of buying could be summarized, 5 user groups could be seen in EC customers, and the usage patterns of these groups were described. These results could be very useful to design user-oriented EC web system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.85-96
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• 2010

Satisfaction of computer internet user in Ubiquitous depends on characters which given from web site. In this paper, studying about characteristic of internet web site that influence internet user's satisfaction. Had a research by interviewing and e-mail for a month, at over the 20 ages person who has experience purchasing S/W from shopping mall in internet purchasing site. The research shows the main factor of the user's satisfaction are that communication business combine, information usability, interaction, personalization, mailing list, over the web site characteristics. Finally, this paper suggest that special features and studying limitation of the enterprise web transactions base on the result of the research.

• Convergence Security Journal
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• v.13 no.1
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• pp.51-57
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• 2013

RSA is the most widely used public key algorithms. Payment via the SSL communications, and user authentication using RSA secure shopping mall that can protect the user's valuable information in the process of building. SSL-based electronic signature technology and encryption protocols for this technology are electronic documents are delivered to the other party through a separate encryption process, the information sender to enter information on a web browser (user) and the recipient (the Web server of the site Manager), except you will not be able to decrypt the contents. Therefore, the information is encrypted during the transfer of electronic documents even if hackers trying to Sniffing because its contents can never understand. Of internet shopping mall in the user authentication 'and' Communications' SSL secure shopping mall built with the goal of the methodology are presented.

• Management & Information Systems Review
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• v.28 no.4
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• pp.175-197
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• 2009

Numerous researches related to internet shopping malls have been researched by numerous researchers. Such as, establishing criteria to evaluate service quality of electronic commerce, identifying factors affecting successful internet shopping mall operation, and examining relationships among the factors in electronic commerce based shopping mall needed to be focused on. However, most researches that have been undertaken only consider the service quality model or basic functional dimension. In accordance with this indispensability, the integrated structural relationship among variables, which are potentially inherent in customer's perception and affect personnel royalty on internet shopping mall needs to be acknowledged. The purpose of this study is to examine which factors should be able to facilitate performance of internet shopping mall. Based on the relevant literature, it has been empirically analyzed how corporate image, system quality, service quality and delivery quality affect customer satisfaction as well as customer royalty. The research's problem is that it was tested with data collected from 212 respondents. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher corporate image is positively affecting the system quality and delivery quality. Secondly, the higher delivery quality is positively affecting the service quality. Thirdly, the higher service quality is positively affecting the customer satisfaction. Finally, the higher customer satisfaction is affecting the customer royalty.

• Food Science of Animal Resources
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• v.27 no.1
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• pp.117-121
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• 2007

The number of internet users and the scale of electronic on-line trading are on the increase due to the development of information technology and the internet. The aim of this study was to monitor the accuracy of country-of-origin labels and the indicated contents of meat available by electronic on-line trading by using a structural interview sheet for 100 on-line meat product markets. The result of this investigation showed a 100% level of accuracy for business name and telephone number whereas the company address, meat manufacturer and supplier, and business registration were less reliable. We also investigated the accuracy of site policy, e-mail address, and fax number. The results showed that the accuracy of fax numbers was the lowest. The product name and the kind of meat actually in the product showed a 100% level of conformity, while the price (96.3%), place of origin (93.6%), capacity (90.4%), meat parts (80.9%) and contents of the product (73.4%) showed a relatively low level of conformity. Serious safety issues were exposed by the disturbingly low 20.2% accuracy of indicated expiration dates and 5.3% accuracy of indicated manufacturing dates. To ensure food safety, it is essential to improve consumer understanding and trust regarding food safety through continuous public relations. More education and information are needed to raise consumer awareness of the facts versus myths regarding food safety.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.715-721
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• 2018

With the spread of mobile devices, the users of social network services or e-commerce sites have increased dramatically, and the amount of data produced by the users has increased exponentially. E-commerce companies have faced a task regarding how to extract useful information from a vast amount of data produced by the users. To solve this problem, there are various studies applying big data processing technique. In this paper, we propose a collaborative filtering method that applies the tag weight in the Apache Spark platform. In order to elevate the accuracy of recommendation, the proposed method refines the tag data in the preprocessing process and categorizes the items and then applies the information of periods and tag weight to the estimate rating of the items. After generating RDD, we calculate item similarity and prediction values and recommend items to users. The experiment result indicated that the proposed method process large amounts of data quickly and improve the appropriateness of recommendation better.