• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.1-10
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• 2020

The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.

• Journal of the Korean association of regional geographers
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• v.10 no.1
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• pp.158-176
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• 2004

The purpose of this paper is to clarify the distribution system and the spatial characteristics of sales for the internet shopping mall on the basis of its off-line presence. The distribution system of this internet shopping mall is divided into the goods selection process and the product delivery process to consumers according to the function and role of the distribution center which is performed by cooperative companies. The internet shopping mall uses a different distribution system from the off-line department store, outsourcing the delivery process to door-to-door delivery companies in order to reduce costs and to increase the speed of delivery. Sales in the internet shopping mall are concentrated in the delivery unit area where the main office is located. Accordingly, in the case of the internet shopping mall based on an off-line presence, the mail-order business does not fully overcome the limitations arising from space. Also, the main factors influencing the value of sales, according to the area, are the number of women aged 20 to 49 and the distances involved.

• CRM연구
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• v.4 no.2
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• pp.19-29
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• 2011

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.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.2
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• pp.54-61
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• 2003

This study tried to identify factors influencing on consumer trust of Internet Shopping Mall. There found five factors; transaction security, Validation & contact, company image, nevigation & convenience and consumer style. These factors were correlated with internet shopping variables and there were difference of mean factor scores among consumer groups classified by frequency of online buying.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1625-1631
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• 2008

This paper is going to research about RFID real time position finder technology and the offline shopping mall's client shop list managed by the RF fused Tag USB memory to analyze out the output of the data for providing real time interactive customer intelligence commodity system.

• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.11-16
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• 2002

Nowday, Cyber shopping mall increased market size. The Consumer Behavior chainged new trend. This study on the systematic access to establishment of the concept of cyber shopping mall as well as to problems to overall parts of EC service as well is required. The objectives of this study are that how service consumers perceive the quality of EC service, and that what effect the quality makes on their satisfaction and re-purchase intention. This means that the research enables a marketing manager to take the meaning of comparative weight among the components of EC service quality, and to provide very useful information to establish marketing strategies which are close to the consumers.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.589-591
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• 2005

전자상거래분야는 시공간을 넘은 소비자의 취향 및 요구에 따라 보다 효율적인 서비스 지원을 위하여 급속히 변화되고 있다. 이는 오프라인 매장 중심의 판매활동인 촉각이 우선 되던 패턴에서 벗어나 시각이 우선 되는 것을 의미한다. 따라서 소비자의 다양한 욕구에 부응하고 이에 맞는 컨텐츠의 개발을 통한 쇼핑몰의 구축으로 물품구매까지 연결시킬 수 있어야 한다. 본 연구에서는 포토샵, 일러스트레이터등을 사용하여 상품 컨텐츠를 보다 시각화하여 게시함으로서 구매자로 하여금 깨끗하고 산뜻한 이미지를 나타내고, 쇼핑 물품에 대하여 쉽게 이해할 수 있도록 하여 구매욕구를 증가시키도록 하였다. 이러한 적용결과는 쇼핑몰 방문자들로부터 쇼핑을 컨텐츠의 이미지에 대한 느낌을 설문조사를 통하여 그 반응을 살펴봄으로서, 다양한 이미지 효과들이 쇼핑몰의 이미지에 많은 영향이 있음을 보였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.70-74
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• 2001

컴퓨터와 인터넷 기술의 비약적인 발전으로 인해 인터넷상에서의 비즈니스가 현실화되어감에 따라 컴퓨터 통신망상에서 광고, 발주, 상품과 서비스의 구매 등 기업이나 소비자의 모든 경제 활동이 가능해지고 있다. 실물 위주의 경제 체제에서 시·공간적 한계를 뛰어 넘어 실현되기 때문에 특히 인터넷 쇼핑몰은 소비자와 다른 물과의 상호작용을 가능하게 하여 소비자에게 더욱 폭넓은 상품선택의 기회를 제공한다. 때문에 인터넷상의 쇼핑몰이 증가할수록 소리자가 자신이 원하는 상품을 정색하기 위해서는 꽤 많은 시간과 노력이 요구되어지고 있는 실정이다. 따라서 사용자의 다양한 요구 및 최신의 컴퓨터 기술을 충분히 활용한 새로운 상품검색 방식의 변모가 요구됨에 따라 본 논문에서는 상품검색에 있어 보다 적극적인 정보 서비스를 위한 오프라인 검색 시스템을 설계하고 구현하였다.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.428-439
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• 2016

It becomes undeniable trends that offline shopping stores operate their own online shopping stores too. The multi-channel shopping stores like this allow consumers to have much choices to shop from either offline channel or online channel. This trend, however, also opens new research issues. Especially, we have found from literature survey that a new research model is necessary for more in-depth study of the consumer behavior analysis in the multi-channel trends like this, where those constructs such as offline trust, uncertainty, switching cost, and individual negative emotion are considered. It is noted, especially in the multi-channel environments, that uncertainty and switching cost need to be considered, and that individual tends to feel negative emotion much more. By relying on 406 valid questionnaires, we obtained empirical results such that switching cost and offline trust have a positive effect on continuance intention, and uncertainty tends to increase switching cost. Individual negative emotion also affects continuance intention significantly.

• Distribution Business Review
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• no.2
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• pp.49-63
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• 2002

최근 인터넷 상거래가 급속히 확산되면서 기업의 경쟁이 실물세계와 가상세계에서 발생하는 현상이 전개되고 있다. 즉, 유통경로의 측면에서 볼 때 기존의 물리적 세계에 존재하는 전통적인 유통경로와 사이버공간에 존재하는 가상 유통경로가 서로 경쟁하는 형국이 벌어지고 있는 것이다. 온라인 유통경로가 활성화 되면서 두 유통경로간의 갈등양상도 나타나고 있다. 예를 들어, 자동차, 보험, 증권 등의 업종에서 온라인 경로를 통한 판매는 즉각적으로 오프라인 영업사원들의 반발을 불렀다. 컴팩의 경우는 자기 웹사이트나 대리점보다 더 싸게 자사제품을 판매하는 온라인 쇼핑몰에는 제품공급중단을 선언하기도 했다.(중략)