• 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 Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.11-22
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• 2012

As the consuming pattern is changing with the expansion of Internet use and the development of communication technology, Internet shopping market is getting bigger and bigger. By product group, clothing and fashion related products occupy the biggest share. Accordingly, in this study it was tried to identify the effects of Internet utilization capability that enables consumers to search for the information that they need in this information flood, variety pursuit trend and product review accommodation status on shopping value, and to analyze the effects of the shopping value on the purchase behavior in online shopping malls. When factor analysis is nude on Internet use level, it was found that Factor 1 was 'Flow Experience,' Factor 2 'Internet Use Capability,' and Factor 3 'Internet Challenge Desire.' When factor analysis is made on Diversity Pursuit Propensity, it was found that Factor 1 was 'Site Diversity Pursuit Propensity,' Factor 2 'Brand Diversity Pursuit Propensity,' and Factor 3 'Brand Value Pursuit Propensity.' When factor analysis is nude on Product Review Accommodation Propensity, it was found that Factor 1 was 'Product Information Provision Propensity,' and Factor 2 'Product Information Receiving Propensity.' Except Internet Use Capability and Product Information Provision Propensity, all other factors showed high correlation. The factor influencing the entertainment value most was Internet challenge desire, while that influencing the practical value most was flow experience. When the effects of the entertainment value and the practical value on product purchase were analyzed, it was found that both of entertainment value and the practical value influenced product purchase and the practical value influenced the product purchase more than the entertainment value.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1561-1566
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• 2017

Due to the advances in machine learning and artificial intelligence technologies, many new services have become available. Among such services, recommendation systems have already been successfully applied to commercial services and made profits as in online shopping malls. Most recommendation algorithms in commercial services are based on content analysis or explicit feedback rates as in movie recommendations. However, many online shopping malls have difficulties in content analysis or are lacking explicit feedbacks on their items, which results in no recommendation system for their items. Even for such service systems, user log data is easily available, and if recommendations are possible with such log data, the quality of their service can be improved. In this paper, we extract implicit feedback like click information for items from log data and provide a recommendation system based on the implicit feedback. The proposed system is applied to a real in-service online shopping mall.

• 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.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.722-727
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• 2008

As computer technology and internet industrial are growing, we can buy all kinds of merchandise very easily, However. To find relevant merchandise what we want is very difficult process in various internet mall and greate amount of merchandises. Searching merchandise using some keyword makes a lot of list in limited category, but we can not sure that searching results are relevant or not. For this reason, we proposed a interface using color information of goods that is able to search merchandise effectively.

• Knowledge Management Research
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• v.17 no.2
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• pp.187-204
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• 2016

In this study, we investigated the repeated vist of the e-village shopping mall as an online agricultural business platform. We applied Pine and Gilmore (1998) theory for the e-village website information systems. We hypothesized that 4 dimensions such as entertainment experience, educational experience, esthetic experience, and escapist experience toward satisfaction and, moreover, we investigated the moderating trust effect of satisfaction and repeated visit website. We set those independent variables (entertainment experience, educational experience, esthetic experience, and escapist experience) and dependent variable as experience satisfaction. The results indicated that the 4 experiences factors had a positive effect on the experiential satisfaction, and the trust moderating effect has a negative effection between the experiential satisfaction and the repeated visit. The experiential satisfaction had a positive effect on the repeated visit of e-village websites.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.160-163
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• 2015

현대인들은 필요한 물건들을 직접 구매하러 갈 시간이 부족하기 때문에 온라인 쇼핑몰의 이용 빈도가 늘어가고 있으며 이에 따라 온라인 쇼핑몰이 성행하고 있다. 하지만 온라인 쇼핑몰에서 물건을 구매하는 것은 물건을 눈으로 확인할 수 없다는 문제점이 있기 때문에 상품평은 구매를 결정하는데 많은 영향을 준다. 현재 온라인 쇼핑몰에서 고객이 상품평을 통해 상품에 대한 정보를 파악하기 어렵기 때문에 이를 해결하기 위한 연구들이 진행되고 있다. 이러한 연구들로 상품평의 의견을 분석하기 위한 연구로 오피니언 마이닝이 사용되고 있는 추세이다. 그러나 지금까지의 연구는 문법적인 오류, 신조어와 같이 국어사전에 등재되어 있지 않은 단어들을 감성분석기가 올바르게 판단하지 못하기 때문에 분석의 신뢰도가 떨어진다는 문제점이 있다. 그래서 형태소 분석을 실시하기 전에 신조어 사전을 추가하여 Noisy-channel model을 적용하여 더욱 정확한 감성분석이 가능하도록 하였다. 이러한 과정을 통해 가공된 정보를 바탕으로 상품평을 보다 정확하게 분석할 수 있는 시스템을 제안하고자 한다.

• Asia pacific journal of information systems
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• v.24 no.3
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• pp.393-415
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• 2014

This study examines the dynamics of trust and distrust at different price levels. We first note that trust and distrust are built with cognitive and affective foundations, and price is viewed as a financial burden or product quality information. Then, we relate price changes to trust and distrust, and hypothesize their interactions: price as a quality cue will positively moderate the cognitive dimension of trust, whereas price as financial burden will negatively moderate the affective dimensions of trust and distrust. We surveyed 263 online mall shoppers in Korea. Among our eight hypotheses, six are fully supported and two are partially supported. The result shows that price perception interacts with both the cognitive and affective dimensions of trust and distrust, but its specific impacts are distinguished by the price perceptions, whether it is financial burden or product quality information.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.129-149
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• 2007

The purpose of this study is to examine the effect of relationship orientation factors on customer satisfaction and loyalty in Internet shopping malls. Based on previous exploratory work and a review of the literature of relationship marketing, six key factors of relationship orientation construct are identified: trust, bonding, communication. shared value. empathy and reciprocity. And a conceptual model is developed and seven research hypotheses are empirica1ly examined using structural equation modelling. The results show that bonding, shared value and reciprocity has statistically significant effect on the trust of online customers and trust has a positive influence on customer satisfaction and loyalty in Internet shopping malls. Theoretical. managerial and research implications are discussed.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.177-182
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• 2013

More and more medium and small enterprises do business across the world according to generalization of online shopping mall such as eBay and Amazon. But high export and import transportation cost make weak the price competitive power of medium and small enterprises products. Then this paper deals with the development of new business model which can reduce the transportation cost for global logistics through efficiently overcoming the constraints as length, size, and weight of product. We explain this model with application for company which export the automobile parts. We can expect the transportation cost reduction by 50%.