• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.251-258
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• 2008

The purpose of this study is to examine the structural relationship among logistics service quality, relationship-orientation for on-line shopping malls, customer satisfaction and repurchase intention in on-line shopping malls. Based on extensive review of relevant literature, nine components of logistics service quality and six components of relationship orientation are introduced in this study. And a conceptual model is developed and four research hypotheses are empirically examined using structural equation modeling. The findings indicate that logistics service quality is positively and significantly associated with customer satisfaction, and relationship- orientation is the antecedent variable of repurchase intention in the on-line shopping mall. In conclusion, it is revealed that logistics service quality and relationship-orientation play a major role in the success of on-line shopping mall.

• The Journal of the Korea Contents Association
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• v.5 no.3
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• pp.19-28
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• 2005

It is true that internet provides consumers with an efficient way to search information with minimal effort and cost, which facilitates better decision making. Especially, previous studies revealed that the online word-of-mouth marketing is widely used as a source of consumers' information seeking and purchase decision making. Even with this importance of the online word-of-mouth communication on internet few researches have systematically addressed the issue. This study investigates the effect of consumers' motives on perceived usefulness of word-of-mouth marketing in online shopping mall contents. The results are as follows: First, choice uncertainty, perceived sacrifice, and social pressure play an important role for perceived usefulness of word-of-mouth marketing. Second, perceived usefulness has directly affected consumers' quality perception. Thus, it is essential for internet companies to find ways to encourage their customers to engage in word-of-mouth communication on their websites.

• Journal of Fashion Business
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• v.17 no.5
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• pp.57-69
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• 2013

The purpose of this study is to compare the traditional shopping model and virtual avatar fitting model with regards to credibility and favorable impression effects on shopping mall satisfaction, product preferences, and purchasing intentions of apparel e-commerce. Questionnaires are distributed to 10-30s years old consumers who live in Seoul. Data are analyzed by descriptive statistics, Cronbach's ${\alpha}$, and regression analysis. The results are that the provoked credibility and favorable impression from the traditional shopping model affects the consumers' shopping mall satisfaction and buying intention in descending order. In additional, the credibility from traditional shopping model affects the product preference. The provoked credibility from the virtual fitting model influences the consumers' product preferences, and buying intentions. The favorable impression from the virtual fitting model affects shopping mall satisfaction. In general, provoked credibility from virtual avatar fitting model and traditional shopping model play key roles which could influence the consumers' buying intention.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.976-979
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• 2019

사회가 발전함에 따라 사람들의 의류 소비 패턴 매장 매출보다 모바일 쇼핑몰 매출이 늘고 있다. 스마트 뱅킹, 쇼핑몰 애플리케이션 등 모바일 서비스가 일상생활로 스며들면서 모바일로 의류를 구매하는 것은 쉬워졌다. 하지만, 온라인이라는 특성상 옷을 택배로 받고, 입어야 옷이 어울리는 지 아닌 지를 판단할 수 있다는 고질적인 문제점이 있다. 이러한 문제점은 반품 또는 교환으로 이루어지고 이는 쇼핑몰과 소비자 모두에게 굉장히 낭비되는 비용이다. 본 논문에서는 사람의 사진에 옷을 입힌 사진을 제공함으로써, 사람이 옷을 실제로 입지 않더라도 그 때의 fit 을 제공하고자 한다. 이때, 단순한 합성이 아니라, 딥러닝 중 GAN(Generative Adversarial Network)를 사용해 기존 기술의 문제점을 해결하고자 한다.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.336-339
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• 2002

WWW의 확산과 함께 온라인 쇼핑몰 사용자들에게 상품 정보를 수집하고 제공하는 비교 쇼핑 에이전트들의 필요성도 증가하고 있다. 그러나, 웹사이트들은 대부분 그들 자신의 데이터 표현 포맷을 가지므로, 각 웹사이트별로 다른 wrapper가 작성되어야 한다. Wrapper는 특정한 포맷으로 쓰여진 웹페이지들로부터 정보를 추출하는 특수 목적의 프로그램이다. 본 논문에서는 효율적인 wrapper 작성을 위해서 주어진 URL로부터 자동적으로 wrapper를 생성하는데 사용되는 핵심 정보를 추출하는 에이전트를 제안한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.336-339
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• 2002

WWW의 확산과 함께 온라인 쇼핑몰 사용자들에게 상품 정보를 수집하고 제공하는 비교 쇼핑 에이전트들의 필요성도 증가하고 있다. 그러나, 웹사이트들은 대부분 그들 자신의 데이터 표현 포맷을 가지므로, 각 웹사이트별로 다른 wrapper가 작성되어야 한다. Wrapper는 특정한 포맷으로 쓰여진 웹페이지들로부터 정보를 추출하는 특수 목적의 프로그램이다. 본 논문에서는 효율적인 wrapper 작성을 위해서 주어진 URL로부터 자동적으로 wrapper를 생성하는데 사용되는 핵심 정보를 추출하는 에이전트를 제안한다.

• 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.

• CRM연구
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• v.2 no.1
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• pp.15-32
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• 2009

Companies consider customers as an equity, which is expected to increase customer loyalty. However, customer loyalty does not linearly increase in real world by the customer equity always. This research investigates a mediating variable which influence the relationship between customer equity drivers and customer loyalty. We focus on customer value as a customer equity driver which is the most basic factor among customer equity drivers. We examine that online trust as a mediator between the customer value and customer loyalty in on online shopping mall context. Customer value consists of perceived convenience, quality, and price. Findings indicate that online trust mediates the relationship between customer value and customer loyalty. Especially, online trust perfectly mediates the perceived convenience and the perceived quality. The perceived convenience influences online trust most significantly and perceived quality and perceived price are following in the order of strength. Our results implicate that online trust is an important mediator of the relationship between customer equity and customer loyalty in online shopping mall context and need to be managed as a customer relationship management index to increase customer loyalty. In addition, perceived convenience is the most important factor to increase online trust in matured online market.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.2
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• pp.171-182
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• 2006

The purpose of this study was to business cases of setting up a shopping mall for Hanbok and other successful marketing cases were investigated to seek easy ways of establishing a internet shopping mall and to provide information on the structure of e-market and online shopping malls. In our country, online market has overtaken offline one, and the former has made sustained progress. Many domestic Hanbok manufacturers set up their homepages as part of efforts for online marketing or P.R. However, online shopping malls are run just by a small number of companies, and traditional Hanbok manufacturers are in worst situations. To be steadily competitive enough to keep on attracting customers, they should try to make their way through e-market from diverse angels. The purpose of this study was to delve into the establishment of an online shopping mall for Hanbok products and relevant marketing in an attempt to lay the groundwork for solidifying the position of Hanbok products in apparel e-market.

• The Journal of Bigdata
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• v.4 no.1
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• pp.29-38
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• 2019

In this paper, we propose a sales forecasting model that forecasts the sales volume of short sleeves and outerwear according to the temperature change by utilizing accumulated big data from the online shopping mall 'A' over the past five years to increase sales volume and efficient inventory management. The proposed model predicts sales of short sleeves and outerwear according to temperature changes in 2018 by analyzing sales volume of short sleeves and outerwear from 2014 to 2017. Using the proposed sales forecasting model, we compared the sales forecasts of 2018 with the actual sales volume and found that the error rates are ±1.5% and ±8% for short sleeve and outerwear respectively.