• Title/Summary/Keyword: 인터넷 쇼핑몰 사용성

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A Study on Users Preference Using Fuzzy Logical on Electronic Commerce Systems (전자상거래 시스템에서 퍼지논리를 이용한 사용자 선호도에 관한 연구)

  • 김영천;이성주
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.1
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    • pp.52-57
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    • 2001
  • 인터넷의 대중화와 더불어 전자상거래에 대한 관심과 중요성이 더욱 증대되고 있다. 전자상거래에서 보다 많은 고객들을 유치하기 위해서는 거래의 안정성 보장, 시스템의 사용 편의성, 다양한 물품의 제공, 저렴한 가격 등과 함께 차별화된 고객 서비스 전략이 필요하다. 고객의 취향에 적합한 상품 정보를 제공함으로써 고객의 만족도를 증진시키고 나아가 지속적인 방문을 유도하고자 한다. 본 논문에서는 고객이 전자상거래 쇼핑몰을 방문 시 고객별로 관리되는 선호도를 활용하여 고객의 취향에 적합한 상품 정보를 제공한다. 퍼지논리를 이용하여 제품군간에 근접도를 반영함으로써 사용자에게 보다 좋은 상품 정보를 제공하는 기법을 제안한다.

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A Study on Consumers' Buying Intention toward Fashion Goods through Global Internet Shopping Malls (글로벌 인터넷 쇼핑몰의 패션제품 구매의도 형성에 관한 연구)

  • Lee, Hyun-Mee
    • The Research Journal of the Costume Culture
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    • v.20 no.4
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    • pp.573-593
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    • 2012
  • The purpose of this study was to investigate consumers' buying intention toward fashion goods through global internet shopping malls. This research employed Technology Acceptance Model (TAM) as a theoretical framework and was extended to introduce fashion innovativeness, clothing involvement, consumers' needs for uniqueness, computer self-efficacy as external factors. A total of 381 copies of questionnaires were collected online. The subjects of this study were women. The collected date were analysed by factor analysis, Cronbach's alpha, correlation and path analysis. The results indicated that fashion innovativeness, clothing involvement and consumers' needs for uniqueness had a significant positive affect on perceived usefulness. Consumers' needs for uniqueness and computer self-efficacy had a significant positive affect on perceived ease of use. Perceived usefulness and perceived ease of use were found to influence buying intention toward fashion goods through global internet shopping malls. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness. This study reveled that employing TAM to investigate the buying intention toward fashion goods through global internet shopping malls was appropriate. This study also provides empirical analysis that can serve as a guide for marketers of the fashion industry in activating global internet shopping malls.

Image Watermarking for Copyright Protection of Images on Shopping Mall (쇼핑몰 이미지 저작권보호를 위한 영상 워터마킹)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.147-157
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    • 2013
  • With the advent of the digital environment that can be accessed anytime, anywhere with the introduction of high-speed network, the free distribution and use of digital content were made possible. Ironically this environment is raising a variety of copyright infringement, and product images used in the online shopping mall are pirated frequently. There are many controversial issues whether shopping mall images are creative works or not. According to Supreme Court's decision in 2001, to ad pictures taken with ham products is simply a clone of the appearance of objects to deliver nothing but the decision was not only creative expression. But for the photographer's losses recognized in the advertising photo shoot takes the typical cost was estimated damages. According to Seoul District Court precedents in 2003, if there are the photographer's personality and creativity in the selection of the subject, the composition of the set, the direction and amount of light control, set the angle of the camera, shutter speed, shutter chance, other shooting methods for capturing, developing and printing process, the works should be protected by copyright law by the Court's sentence. In order to receive copyright protection of the shopping mall images by the law, it is simply not to convey the status of the product, the photographer's personality and creativity can be recognized that it requires effort. Accordingly, the cost of making the mall image increases, and the necessity for copyright protection becomes higher. The product images of the online shopping mall have a very unique configuration unlike the general pictures such as portraits and landscape photos and, therefore, the general image watermarking technique can not satisfy the requirements of the image watermarking. Because background of product images commonly used in shopping malls is white or black, or gray scale (gradient) color, it is difficult to utilize the space to embed a watermark and the area is very sensitive even a slight change. In this paper, the characteristics of images used in shopping malls are analyzed and a watermarking technology which is suitable to the shopping mall images is proposed. The proposed image watermarking technology divide a product image into smaller blocks, and the corresponding blocks are transformed by DCT (Discrete Cosine Transform), and then the watermark information was inserted into images using quantization of DCT coefficients. Because uniform treatment of the DCT coefficients for quantization cause visual blocking artifacts, the proposed algorithm used weighted mask which quantizes finely the coefficients located block boundaries and coarsely the coefficients located center area of the block. This mask improves subjective visual quality as well as the objective quality of the images. In addition, in order to improve the safety of the algorithm, the blocks which is embedded the watermark are randomly selected and the turbo code is used to reduce the BER when extracting the watermark. The PSNR(Peak Signal to Noise Ratio) of the shopping mall image watermarked by the proposed algorithm is 40.7~48.5[dB] and BER(Bit Error Rate) after JPEG with QF = 70 is 0. This means the watermarked image is high quality and the algorithm is robust to JPEG compression that is used generally at the online shopping malls. Also, for 40% change in size and 40 degrees of rotation, the BER is 0. In general, the shopping malls are used compressed images with QF which is higher than 90. Because the pirated image is used to replicate from original image, the proposed algorithm can identify the copyright infringement in the most cases. As shown the experimental results, the proposed algorithm is suitable to the shopping mall images with simple background. However, the future study should be carried out to enhance the robustness of the proposed algorithm because the robustness loss is occurred after mask process.

Implementation and Performance Analysis of Web Image Server for e-Commerce (전자상거래를 위한 웹 이미지 서버의 구현 및 성능 평가)

  • Kim, Myoung-Eun;Min, Su-Hong;Cho, Dong-Sub
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2840-2842
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    • 2002
  • 인터넷 전자상거래의 발달로 데스크탑 컴퓨터만이 아니라 냉장고, 달리는 차안, PDA, 핸드폰 등 생활 영역 곳곳에서도 전자상거래를 할 수 있다. 이런 다양한 서비스를 보장하기 위해서 서비스 제공자는 같은 상품이라도 상황에 따라 다양한 화질의 이미지를 제공한다. 현재 전자상거래에서 쓰이는 이미지들은 같은 상품임에도 구하고, 쇼핑몰마다 각각 따로 저장하고 있고, 하나의 이미지도 쓰임새에 따라 다른 해상도로 각각 저장되어 있다. 인터넷의 자원은 한정되어 있기 때문에 이미지가 분산되어 저장되면 자원을 낭비하게 된다. 또한, 이미지를 효율적으로 관리하기 어렵다. 따라서, 다양한 이미지들을 효율적으로 사용하는 방법의 필요성이 대두되고 있다. 본 논문에서는 인터넷에서 이미지 파일을 사용하고 저장하는데 효율적인 웹 이미지 서버를 구현하고 성능을 평가하였다.

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The Relationships among Repurchase Intention, Satisfaction, Trust, and Web Site Usability in Internet Shopping Malls (인터넷쇼핑몰에서 웹사이트 사용성, 신뢰, 만족 및 재구매 의도의 구조적 관계에 관한 연구)

  • Ryu, Il;Kim, Jae-Jon;Rho, Hee-Ok
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.5
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    • pp.191-202
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    • 2007
  • The purpose of this study is to examine the effect of Web site usability on trust, satisfaction, and repurchase intention in Internet shopping malls. The Web site usability construct consists of the factors such as contents, ease of use, navigation, and interactivity. In order to accomplish the purpose of this study, a research model was established and it suggests that the Web site usability, through the mediation of trust and satisfaction, eventually affect the repurchase intention of online customers in Internet shopping malls. The results of the study show that Web site usability has statistically significant effect on the repurchase intention of online customers and this effect is mediated by satisfaction. This research confirms the importance of usability construct in designing Web sites and understanding the use of Web sites. Implications of these findings are discussed for researchers and practitioners.

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A study on email efficiency on recommendation system (추천시스템을 이용한 이메일 효율성 제고에 관한 연구)

  • Kim, Yon-Hyong;Lee, Seok-Won
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.6
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    • pp.1129-1143
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    • 2009
  • This paper proposes a recommendation system (Association Rule System for Targeting) which considers target which is not considered by previous Logistic Regression system, and proves that the efficiency of the recommendation system is better than that of the current and previous Apriori algorithm system. Also this study shows that the click and purchasing rate of the proposed Association Rule System for Targeting is much higher than those of current Apriori algorithm system after the purchasing campaign even though the open rate of the former is lower than that of the latter. In comparison with Logistic Regression methodology, this paper proves with experimental data that the purchasing effect of the proposed system for specific items is much higher in accuracy than that of current Apriori algorithm system even though the purchasing rate of current Apriori algorithm system is higher in whole shopping malls than that of the proposed Association Rule System for Targeting.

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A Study for Interactive Web Application of User Experience Focus (사용자 경험 중심의 Interactive Web Application에 관한 연구)

  • Cho, Kyung-Mo
    • Proceedings of the KAIS Fall Conference
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    • 2009.05a
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    • pp.507-510
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    • 2009
  • 최근 인터넷쇼핑몰은 판매자 중심에서 구매자 중심으로 변화하고 있으며, 새로운 사용자 경험(User Experience)의 요구하고 있다. 본 논문에서는 웹 표준 및 접근성을 고려하여 사용성(Usability)과 효율성을 기반으로 상호작용하는 동적인 Web Application 기술을 적용하여 새로운 사용자 경험(User Experience)을 제공하고 전자상거래의 새로운 패러다임을 제시할 수 있는 사용자(구매자) 및 관리자(판매자)의 동적인 유저인터페이스(UI : User Interface)가 가능한 Web Application을 제언 하는 데에 그 목적이 있다.

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The Product Recommender System Combining Association Rules and Classification Models: The Case of G Internet Shopping Mall (연관규칙기법과 분류모형을 결합한 상품 추천 시스템: G 인터넷 쇼핑몰의 사례)

  • Ahn, Hyun-Chul;Han, In-Goo;Kim, Kyoung-Jae
    • Information Systems Review
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    • v.8 no.1
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    • pp.181-201
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    • 2006
  • As the Internet spreads, many people have interests in e-CRM and product recommender systems, one of e-CRM applications. Among various approaches for recommendation, collaborative filtering and content-based approaches have been investigated and applied widely. Despite their popularity, traditional recommendation approaches have some limitations. They require at least one purchase transaction per user. In addition, they don't utilize much information such as demographic and specific personal profile information. This study suggests new hybrid recommendation model using two data mining techniques, association rule and classification, as well as intelligent agent to overcome these limitations. To validate the usefulness of the model, it was applied to the real case and the prototype web site was developed. We assessed the usefulness of the suggested recommendation model through online survey. The result of the survey showed that the information of the recommendation was generally useful to the survey participants.

On-Line Mining using Association Rules and Sequential Patterns in Electronic Commerce (전자상거래에서 연관규칙과 순차패턴을 이용한 온라인 마이닝)

  • 김성학
    • Journal of the Korea Computer Industry Society
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    • v.2 no.7
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    • pp.945-952
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    • 2001
  • In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

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Design and Application of a XML Based Product Catalog (XML기반 상품 카탈로그의 설계 및 적용)

  • Ha, Sang-Ho;Kim, Gyeong-Rae
    • The KIPS Transactions:PartD
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    • v.9D no.3
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    • pp.523-530
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    • 2002
  • With an advent of XML(extensible markup language), researches on electronic commerce based on XML have been conducted by many organizations and companies. Although these researches described electronic catalogs, they are not sufficient because in the catalogs, the product information are not classified properly, and are not organized hierarchically. In this paper, we analyse and classify information that can use to describe various products. And then, we suggest the modes that can describe the various products information through the complement of existing researches, and we apply it over several products on the Web. The uses of this model supports flexibility and facility to the product offers such as internet shopping malls.