• 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.

• Archives of design research
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• v.14 no.1
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• pp.63-70
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• 2001

Thanks to the inter-connection of information servers throughout the world based on the internet technology, the new sphere which actual transaction can be made like in the visible market has become conspicuous as the virtual space. The movement to realize the new business through the cyber space has been actively ongoing. In the domestic market, a lot of corporations knowing the needs of internet shopping malls have entered into this e-business but they have not made a big success comparing with internet's potentials. And, it can be attributed to the simple planes and the limitations of information provided by the cyber malls, which means that the needs of better information transfer we apparent Accordingly, in this thesis, the research on the 3-D based products and shopping malls has been made through the inter-complementary composition between the 2-D shopping malls and 3-B ones. This research consists of 3 parts. Firstly, through the research on references and existing data, it presents the analysis on consumer's characteristics and sales limits of the internet shopping mall's products. Secondly, the background of 3-D shopping mall's advent and the virtual reality technology data are put together. Finally, it presents how the development of 3-D based product modeling and shopping malls can increase the consumer's purchase power and furthermore the directions of shopping malls to go.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.860-865
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• 2008

본 연구는 인터넷 쇼핑몰의 전환장벽(Switching Barrier)과 E-Quality, 상호작용성(Interactivity), 신뢰성 (Trust)을 중심으로 고객충성도에 영향을 미치는 요인을 밝히고자 하였다. 전체 100명의 표본을 PLS(Partial Least Square)를 사용하여 구조모형 분석을 실시하였으며, 분석한 결과, EQ, 상호작용성, 신뢰성이 가상관계에 유의한 영향을 주고 있으며, 가상관계, 전환비용, 대안의 매력이 쇼핑몰에 대한 충성도에 유의한 영향을 주는 것으로 나타났다.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.317-320
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• 2001

SECOS(SoonChunHyang E-Commerce System)는, CBD(Component Based Development) 방식에 따라 개발된 컴포넌트들을 이용하여 새로운 응용 시스템을 개발하는 CBSD(Component Based Software Development)기법을 이용하여 구축된, 웹 기반 정보활용의 전형적 모델을 제공키 위한 개방형 프레임워크에 기반을 둔 소프트웨어 시스템이다. 현재 본 연구팀은 SECOS의 적용 사례로서 B-to-C 기반 E-Business를 위한 쇼핑몰을 구축하고자, 검색 및 지불 그리고 응용분야의 S/W 컴포넌트들을 개발 중에 있다. 본 논문에서는 전체적인 SECOS 의 구성에 대한 이해를 돕고자, SECOS의 내부구조 및 그에 따른 컴포넌트들 그리고 그들간의 상호관련에 대하여 설명하고 있으며, 아울러 새로운 쇼핑몰 구축시, SECOS의 프레임워크 및 컴포넌트들을 활용하기 위한 방안에 대해 살펴보고자 한다.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.207-223
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• 2021

The purpose of this research is to study the influence of online shopping motives on repurchase intentions with Chinese students studying in South Korea. To this end, a questionnaire survey was conducted with 255 Chinese students studying abroad. The SPSS 23.0 analysis clarified the structural relationship between the online shopping mall's motivation and customer satisfaction, and repurchase intentions. First, in the motivation of online shopping, product perception, customer service and shopping experience have a positive impact on customer satisfaction. Second, in the motivation of use, product perception, customer service, and shopping experience have a positive impact on repurchase intentions. Third, satisfaction has a positive effect on repurchase intentions. The results show that the motivation of using online shopping for Chinese students in South Korea is an important factor affecting satisfaction and repurchase intentions. In future research, further research is needed according to the type of online shopping mall.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.173-177
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• 2012

This paper proposes a service which searches goods by images and finds a shopping mall site that offers referral services. In the service, images are obtained in various types. For example, paint function, images search based on pattern and shape. For this shopping mall system, it will be modeled using UML use case and class diagram. Also it will be implemented in JSP. It supports functions that searched various types of images by pattern and shape. In addition to features which were mentioned above, we aim to implement a shopping mall system to search and buy goods by improved information searching techniques, ultimately providing a space that realizes user's painting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.374-383
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• 2020

This study verified the difference in the influence on the value principles held by the consumers while examining the influence of the characteristics of the online shopping mall on the purchase intent by using a TAM2 model. First, the characteristics of online shopping malls were proven to have a positive effect on the perceived ease of use and perceived utility. Second, a look at the effect of the online shopping mall characteristics on the emotional response shows that only the system quality and product quality variables had a positive effect on the emotional response. Third, the perceived ease of use, perceived utility and emotional response of online shopping mall users had a positive effect on their perceived value. Fourth, multi-group analysis was conducted to examine the difference between utilitarian goods and hedonic goods by categorizing what was purchased at online shopping malls. The results showed differences between the groups. This study is attempted to investigate various influencing factors on consumers' intention to revisit online shopping malls. In addition, the author also attempted to understand the behavior of online shopping mall visitors by dealing with more than the technical attributes and emotional aspects of shopping malls.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.2
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• pp.49-68
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• 2007

This paper develop self pre-checkup lists for the validity of business model as web business starters can utilize to open business. In particular, self pre-checkup lists invented by Dr. Bruce Merrifield, is reapplied and modified in appropriate to internet shopping mall business. This paper complete many literature reviews to identify appropriate factors of evaluation such as about the characters of internet business, business validity testing theory for internet business model, pros and cons of e-business and startup ventures, factor analysis of technology valuation, and pros and cons for internet shopping mall. This paper define six different factors; scale of sales, the growth rate of market, competitiveness, risk portfolio, industry upside down, and social conditions, as the factors of evaluating the business attractiveness. Meanwhile, it define characters of CEO, content's power, mutual inclusion, commerce, fulfillment, marketing power as the factors of business appropriateness. This paper also conducts several case studies; company I, D, G of applying the former model. This paper sort out internet business model in imaginations by utilizing self pre-checkup lists of business evaluation. Also, the outcomes of evaluation is expected to provide meaningful future business implications.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.355-362
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• 1999

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.19-33
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• 2009

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through the reviews. Product Reviews are results expressing customer's sentiments and thus are divided into positive reviews and negative ones. However, as the number of reviews in on-line shopping increases, it is inefficient or sometimes impossible for users to read all the relevant review documents. In this paper, we present a sentiment analysis algorithm for automatically classifying subjective opinions of customer's reviews using opinion mining technology. The proposed algorithm is to focus on product reviews of on-line shopping, and provides summarized results from large product review data by determining whether they are positive or negative. Additionally, this paper introduces an automatic review analysis system implemented based on the proposed algorithm, and also present the experiment results for verifying the efficiency of the algorithm.