• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.205-212
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• 2015

This paper aims to investigate key factors affecting customer adoption of the online review from the three perspectives such as customer review characteristics, reviewer characteristics, and customer characteristics. We collected data on customers who have experience in purchasing products in Taobao. The major findings are as follows. First, the customer review amount and vividness are not directly related to customer adoption of the online review. Second, the trust of reviewer and perceived similarity have positive effects on customer adoption of the online review. Third, the prior knowledge and product involvement increase customer adoption of the online review. Finally, customers' purchase intention is greatly determined by customer adoption of the online review. This paper presents the importance of the management of customer reviews and management method for the stakeholders of shopping mall to advancing Chinese market.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.171-182
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• 2019

As online shopping malls continue to grow in popularity, various chances of consumption are provided to customers. Customers decide the purchase by exploiting information provided by shopping malls such as the reviews of actual purchasing users, the detailed information of items, and so on. It is required to provide objective and reliable information because customers have to decide on their own whether the massive information is credible. In this paper, we propose a personalized recommendation method considering an item confidence to recommend reliable items. The proposed method determines user preferences based on various behaviors for personalized recommendation. We also propose an user preference measurement that considers time weights to apply the latest propensity to consume. Finally, we predict the preference score of items that have not been used or purchased before, and we recommend items that have highest scores in terms of both the predicted preference score and the item confidence score.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.765-774
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• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.111-121
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• 2005

As the scale of e-commerce has been increasing, information about products and service become diversified, Most current internet shopping mall. however, provides product information to consumers in collective arrangement. thus they devote a lot of efforts and time to select the product they want, In this paper, as providing consumers convenient interfaces adapting feature inquirer and parallel coordinate, a method for selecting a right product through searching the wanted products easily and comparing their features efficiently has been proposed. To evaluate the efficiency of the method proposed in this paper, several experiments to measure the time spent and the number of clicks of mouse taken in finding the product they want have been conducted. The results verify the effectiveness of the proposed method.

• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.309-316
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• 2004

The industrial structure with Internet is changing from offline to online. By developing of network, E-commerce will be big market. It is natural to increase of E-commerce and interest of people. but, it is supported by system and technics. First of all, we need customer authentication service method. In this paper, we described about Electronic shopping mall Security by three main categories. One is general security solution of I-commerce, Second is analyzing about various threats, vulnerability and countermeasures to that. Third is security consideration of directory service in I-commerce circumstance.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.381-384
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• 2006

인터넷과 IT 인프라의 증가는 인터넷 기반의 전자상거래 시스템의 성장을 주도하였고, 이와 관련된 새로운 형태의 서비스가 나타나는 계기가 되었다. 그러나, 현재 전자상거래 서비스는 구매자가 웹에 접속하여 인터넷 쇼핑몰에 보이는 상품을 선택하여 결제 및 상품을 수신하는 방식으로 이루어진다. 또한 구매 판단을 결정할 때 최저가격 외에 신속한 배송, 부가 서비스 등의 다양한 의사결정 요소가 있음에도 불구하고, 인터넷 쇼핑몰에서 제시한 최저가의 판단요소에 의존함으로 구매자가 수동적인 입장이 된다. 따라서, 본 논문에서는 이러한 문제점을 해결하기 위해 상호간에 의견교환 및 사용자가 정한 우선순위에 따른 판단을 효과적으로 할 수 있는 서비스인 게임이론 기반의 지능모델을 제시한다 게임이론은 전통적으로 경제문제 협상과 정치문제 협상, 워 게임 등에 적용되었다. 본 연구에서는 이 점에 착안하여 게임이론 알고리듬을 이용하여 e-Commerce를 위한 지능모델에 적용하여, 기존의 수동적이고 사용자의 취향에 따라 다양한 의사결정 요소를 선택 할 수 없었던 문제를 해결한다.

• The KIPS Transactions:PartD
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• v.14D no.4 s.114
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• pp.407-420
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• 2007

The purpose of this study is to examine the effects of the site characteristics and the customer characteristics of Internet shopping malls on perceived risk and purchase intention. In order to fulfill this objective, we employ the survey methodology to gain data and analyze them using a structural equation model. The results of this study show that both the site characteristics and the customer characteristics of Internet shopping malls did not have a direct effect on purchase intention. Instead, perceived risk has effects on purchase intention. This implies that perceived risk is playing an important role in e-commerce.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.75-84
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• 2019

The purpose of this paper is to examine the factors influencing on loyalty in US online shopping malls. The study proposed a model to investigate the relationship among quality of sites, satisfaction, attitude, and loyalty. The hypotheses were examined by analyzing a structural equation model. 280 US samples were used for the final analysis. The results show that this model demonstrates good fit for the samples. The ease of use was found to be a significant variable in their satisfaction, while it did not have the direct effect on attitude toward the sites. The information quality was found to be a crucial variable in consumers' satisfaction and attitude toward the site. Satisfaction directly affected attitude as well as loyalty, and attitude also directly affected loyalty. Thus, the structural relationship among the variables of customers' loyalty was verified. This research provides practical insights into US consumer behaviors that would be beneficial to marketers when they make decisions for the US e-commerce market.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.147-158
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• 2011

This study analyzed the effective and suitable promotion method to increase visitors on the internet fashion soho shopping mall by surveying of female university students. The methods were in-depth interviews for 20 students and questionnaires for 363 students. The results indicated that the main routes of visiting the internet fashion shopping mall were keyword search window, banner advertisement window, and open market. Others were price comparison sites, the rank shop, fashion magazines or internet news, information in e-mail, broadcasting sponsor advertisements, name cards, and leaflets. So the effective methods to increase the number of visitors is to implement keyword advertisements, banner advertisements, and enter the open market to expose the brand names and item information. Being on price comparison sites or rank shops, advertisements in the fashion magazines, internet news or e-mail, broadcast sponsorships, and distribution of leaflets or name cards were also effective methods.

• Information Systems Review
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• v.6 no.1
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• pp.53-66
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• 2004

In Korea, The Consumer Protection Law in Electronic Commerce, which came into effect in July 2002, forced internet shopping malls to provide a minimum of 7 forms of business information, including the name of the business, the name of the representative, geographical address, telephone number, fax number, e-mail address, and business license number, so that consumers could easily identify them. To investigate the shopping malls which do not provide their business information, can lead to confidence in the electronic commerce environment. To investigate the completeness of the business information with the internet shopping malls, this paper proposes the methods of gathering URLs of internet shopping malls, of extracting business information attributes, and an architecture of the agent system. Information extraction in our research is based on synonyms and indicator words of the attributes. With the experiment we showed that the accuracy of our agent system to find out the right business information is 89.3%.