• The Journal of Bigdata
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• v.4 no.2
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• pp.85-91
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• 2019

Since online shopping has become common, people can easily buy fashion goods anytime, anywhere. Therefore, consumers quickly respond to various environmental variables such as weather and sales prices. Thus, utilizing big data for efficient inventory management has become very important in the fashion industry. In this paper, the changes in sales volume of fashion goods due to changes in temperature is analyzed via the proposed big data analysis algorithm by utilizing actual big data from Korean fashion company 'B'. According to the analytic results, the proposed big data analysis algorithm found both expected and unexpected changes in sales volume depending on the characteristics of the fashion goods.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.387-397
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• 2005

본 논문에서는 홈네트워크 기술을 통해 원격의료 원격진료 원격검침 원격제어 등 편리한 생활이 가능하고, 대화형 TV VOD(Video On Demand) 온라인 게임 등의 각종 오락을 가정에서 편리하게 즐길 수 있어 여가 시간을 효율적으로 활용 가능하게 하여 즐거운 가정을 이룰 수 있다. 방범 방재 안전한 개인 정보 관리 등을 통해 개인 및 가정의 프라이버시를 보장받고, 도난 재난 등을 24시간 방지하여 안전한 생활을 보장받을 수 있을 뿐 아니라, 양방향 홈쇼핑 홈뱅킹 에너지 관리 등 개인의 경제 활동을 가정에서 처리하고 전기 가스 등의 공공 자원을 외부에서 효율적으로 관리함으로써 윤택한 가정을 누릴 수 있는 국내외 홈네트워크 기술 동향 및 국내 기술개발 정책에 대해 연구하였다.

• Digital Contents
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• no.10 s.101
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• pp.32-37
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• 2001

무선 인터넷 서비스의 수요는 국내외적으로 크게 증가하고 있으며 2003년경 전 세계 무선 인터넷 사용인구가 6억 명에 이를 것이라는 전망이 나오고 있다. 이러한 급속한 발전에 비해 무선 인터넷 관련 기술은 아직 초기 시작 단계이다. 무선 인터넷 서비스 제공을 위한 프로토콜을 이용한 이동통신관련 업체들이 주축이 되어 개발하고 있으나 아직 표준화가 확립되지 않은 상태이다. 또한 무선 인터넷을 이용한 뱅킹 서비스, 주식 거래, 온라인 쇼핑등의 전자상거래 서비스를 원활히 제공하기 위해서는 유선 인터넷과 마찬가지로 보안 문제가 해결되어야 하나 아직 국제적인 표준화가 진행중에 있는 실정이다.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.89-98
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• 2018

The emergence of the mobile commerce market as a new megatrend, mobile shopping is becoming an important distribution channel in the domestic online shopping market. The purpose of this study is to classify shopping values perceived by mobile social commerce users into a utilitarian value and a hedonic value explained and to empirically examine the effects of social commerce characteristics on the purchase intention and shopping values in mobile social commerce. conclusion, this implies that site providers and sellers need to try to supply cheaper and more economical products than those offline and provide the most effective and optimum information and service so sellers and consumers can exchange messages with each other and create meanings.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.563-572
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• 2016

Recently, a plenty of credit card payment protocols have been proposed in Korea. Several features of proposed protocols include: using passwords for user authentication in stead of official certificate for authenticity, and no need to download additional security module via ActiveX into user's devices. In this paper, we suggest two new credit card payment protocols that use both SSL(Security Socket Layer) as a standardized secure transaction protocol and password authentication to perform online shopping and payment. The first one is for the case where online shopping mall is different from PG(Payment Gateway) and can be compared to PayPal-based payment methods, and the second one is for the case where online shopping mall is the same as PG and thus can be compared to Amazon-like methods. Two proposed protocols do not require users to perform any pre-registration process which is separate from an underlying shopping process, instead users can perform both shopping and payment into a single process in a convenient way. Also, users are asked to input a distinct payment password, which increases the level of security in the payment protocols. We believe that two proposed protocols can help readers to better understand the recent payment protocols that are suggested by various vendors, and to analyze the security of their payment protocols.

• Management & Information Systems Review
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• v.37 no.2
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• pp.23-42
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• 2018

As the development of the Internet in China has led to the active shopping of the internet, the number of Chinese internet users and online shopping malls is increasing rapidly. Chinese internet shopping malls are experiencing satisfaction and discontent with their websites. Research has focused on the satisfaction of customers using internet shopping malls and internet shopping malls reported complaints to users as complaints about products and websites. The study looked at seven area Chinese internet users (Beijing, Harbin, Shenyang, Ganssu, Xian, Shanghai and Henan). The effect of product complaints and site complaints on shopping attitudes and behaviors of internet shopping users was studied, and economic benefits were studied as a control variable. As a result, There was no effect on controlling the economic benefits of the complaint against the product, but the controlling the economic benefits of the complaint on the site was effect. About 83 percent of those surveyed were in their 20s and 30s who had experience shopping online and in internet. And It is intended to present theoretical reviews and guidelines for Korean internet shopping malls operating here, as they plan to expand to China by analyzing their internet shopping mall users.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1127-1130
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• 2001

국내에서도 본격적으로 디지털 방송이 시작되면서 주로 가정에서만 사용되어 오던 TV 의 디지털화로 컴퓨터와 통신에 가전이 결합되면서 새로운 개념의 양방향 멀티미디어시대를 맞이하게 되었다. 디지털 방송은 디지털 기술을 응용해서 음성과 영상뿐만 아니라 부호나 데이터의 형태로 되어 있는 정보를 양방향에서 제어할 수 있는 환경을 제공하여 디지털 방송을 통해 가정에서 TV 를 시청하면서 뉴스 및 일기예보 검색, 프로그램 안내, 온라인 퀴즈, 온라인 쇼핑, 인터넷 메일 검색 등의 각종 데이터들을 검색하는 기능을 제공할 수 있는 데이터 방송을 가능하게 한다. 본 논문에서는 기존의 아날로그 방식에 비해 다채널의 프로그램과 다양한 부가 서비스를 제공하는 ATSC A/65 표준의 PSIP 파서를 구현하고 이를 통해 EPG(Electronic Program Guide)를 구현한다.

• The Journal of Information Technology
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• v.5 no.1
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• pp.39-50
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• 2002

In order for Internet Shopping Mall to be successful, it must have a theoretical framework that considers the characteristics of the Internet shopping mall users. But as of yet, there is virtually no such framework. The purpose of this study is to provide internet shopping mall in our country with the suggestive point in the marketing strategy for coping with our continuously changing environment on the basis of data gained through the following results of my research work. Hitting upon this situation, this research intends to classified by Cluster Analysis the I-VALS in Internet Shopping Mall. As a result, the purpose of this research is to supply useful data on establishing Department Internet Showing Mall. We used two methods. The first method was directly distributing questionnaires to cyberconsumers by use of one researcher who has been trained in people. The second method was sending E-mails, Fax, Mail designed to induce participation in questionnaires. Through these methods, we were able to obtain participation of people from across the country. Using 179 responses, we derived statistics by means of SPSS Win Version 10.0. The result of Empirical analysis is as follow : first, to pick out 9 factors from I-VALS of users of internet shopping mall. Second, as the result of there was a statistically significant difference between the I-VALS of internet shopping mall. As the result of the Cluster Analysis, I could see there classified 3 factors from I-VALS of users of internet shopping mall. We have know segmentation of internet shopping malls on the standard of user life, and partially significant difference with respect to using internet shopping mall information of I-VALS.

• Information Systems Review
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• v.4 no.2
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• pp.133-153
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• 2002

Internet lowers the search cost to acquire information about products and sellers price information. Because consumers can easily compare prices among different Internet retailers, the price competition among merchants in Internet has been intensified. For online retailers, it is important to differentiate their sites from competitors based upon services rather than prices. This study investigates which factors influence on consumers price sensitivity in Internet book markets and examines whether consumers price sensitivity has any effect on the type of preferred Internet bookstore (hybrid or pure online book stores). Survey is conducted to empirically investigate the relationship among the various consumer attitudes and price sensitivity. The result shows that price search and price importance have effect on the choice of Internet bookstore. Consumers with higher price sensitivity preferred to purchase books from pure Internet bookstores rather than hybrid (click-and-mortar) bookstores. This study provides an exploratory framework that tries to understand consumer behavior about price sensitivity that might provide some marketing implications to lessen the price competition of Internet retailers.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.23-38
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• 2012

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.