• Journal of Computing Science and Engineering
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• 제4권1호
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• pp.53-79
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• 2010

This study proposes a framework to investigate the factors of mobile web success in the context of e-commerce, and the relative importance of these success factors in selecting the most preferred mobile web. First, the Updated Delone and Mclean IS success model (2003) is chosen to extract significant mobile web success factors in the context of e-commerce. Second, it is extended through applying an Analytic Network Process (ANP) approach for investigating the relative importance of each factor and ranking alternative mobile webs in the context of e-commerce. The choice of success measure is a function of the context, which is the objective of this study. Thus, the present study is aimed at evaluating the success of an e-commerce mobile web by customizing measures of the Updated Delone and McLean IS Success model according to the context.

• 경영정보학연구
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• 제3권2호
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• pp.277-288
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• 2001

Of critical importance to the success of any e-commerce site are the two factors: rapid application development and quick response time. A three-tier architecture composed of presentation layer, business layer, and data access layer emerges to allow rapid changes in user interface, business logic, and database structures. Too often, such a logical three-tier architecture is considered as requiring a three-tier physical architecture: Web server, application server, and database server running on separate computers. Contrary to the common belief, a Web stress test reveals that the three-tier logical architecture implemented on a two-tier physical platform guarantees a quicker response time due to the reduction in cross-machine communications. This would lead business firms to economize their spending on e-commerce: increasing the number of physical servers to expedite transaction is not necessarily the best solution. Before selecting a particular hardware configuration, a Web stress test needs to be conducted to compare the relative merits of alternative physical architectures. Together with capacity planning, Web stress test emerges as a powerful tool to build robust, yet economical e-commerce sites.

• 한국전자통신학회논문지
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• 제15권4호
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• pp.703-708
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• 2020

전자상거래의 추진력은 점점 강해지고 있으며 전자 상거래 간의 경쟁은 더욱 치열 해지고 있다. 이러한 데이터를 효과적으로 분석하고 합리적으로 사용하는 방법은 다양한 전자상거래 회사의 경쟁에서 중요한 포인트가 되었다. 본 논문에서는 데이터 마이닝 기술을 사용하여 대규모 웹 데이터베이스에서 중복 데이터를 필터링하고 유용한 데이터를 추출한 다음 다양한 관점에서 분석하여 이 데이터를 전자 상거래 웹 사이트에 합리적이고 효과적으로 적용한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.834-837
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• 2009

There is a growing need for ad-hoc analysis of extremely large data sets, especially at e-Commerce companies which depend on recommender application. Nowadays, as the number of e-Commerce web pages grow to a tremendous proportion; vertical recommender services can help customers to find what they need. Recommender application is one of the reasons for e-Commerce success in today's world. Compared with general e-Commerce recommender application, obviously, general e-Commerce recommender application's processing scope is greatly narrowed down. MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. The objective of this paper is to explore MapReduce framework for the e-Commerce recommender application on major general and dedicated link analysis for e-Commerce recommender application, and thus the responding time has been decreased and the recommender application's accuracy has been improved.

• Agribusiness and Information Management
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• 제1권2호
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• pp.133-156
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• 2009

This study proposes development strategies for domestic e-commerce of agricultural products. So far, it grows quantitatively so fast, but because of lack of continuous management, it does not work properly. Previous studies have some outcome for vitalization of e-commerce, but they have limits that they neglect rapid changes of e-commerce circulation structures and practical problems farmers go through when they sell their products. This study deals with these problems more than previous. The first phase of this study analyzes two cases of overseas successful and failure e-commerce sites of agricultural products, for example, Wine.com and Webvan.com. The second phase analyzes As-Is and distribution structure of domestic e-commerce of agricultural products. Finally this study asserts three strategies for domestic e-commerce of agricultural products based on Web 2.0 environment.

• 지식경영연구
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• 제20권4호
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• pp.169-183
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• 2019

The growth of mobile commerce (m-commerce) has been accelerated around the world. Why do e-retailers have to put a great deal of effort for the distribution of their mobile apps? The literature has paid little attention to the influence of the introduction of an e-commerce app on shopping behaviors of consumers. By analyzing the dataset of 2,342 users in Korea, this study aims to broaden our understanding of mobile shopping app usage across competing e-retailers and different channels. We found that a user's prior usage of a specific e-commerce mobile app increases her subsequent usage of its website through a mobile web browser. Thus, mobile apps do not cannibalize the mobile web channel, and there could be a complementary relationship. We also found that a user's usage of competitors' apps is positively associated with her subsequent usage of a specific e-commerce app. Because many consumers search products and compare prices across multiple e-retailers, having a mobile app helps an e-retailer be exposed to more potential consumers. This study is among the first to study the role of mobile apps in e-commerce by showing the dynamics of cross-channel and cross-vendor usage by a user.

• 한국전자거래학회지
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• 제8권3호
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• pp.53-67
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• 2003

웹 마이닝은 전자상거래(Electronic Commerce)의 발전과 함께 그 중요성이 대두되고 있으며, 주로 전자상거래에서 구매자의 구매 경향을 분석하기 위해 중요한 주제로서 연구되고 있는 분야이다. 본 연구에서는 전자상거래에서 구매자의 구매과정을 퍼지환경으로 정의하고 기존의 웹 마이닝 방법론에 퍼지 이론을 도입한 새로운 방법론을 제안하였다.

• 정보보호학회논문지
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• 제25권5호
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• pp.1225-1233
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• 2015

본 연구는 정교화 가능성 모델(Elaboration Likelihood Model, ELM)의 관점에서 E-Commerce에서 발생하는 소비자의 정보보안 인식의 영향을 조사하고, 소비자의 관여도와 경험의 조절 효과를 분석한 것이다. 소비자는 E-Commerce에 대한 관여도와 경험의 수준에 따라 E-Commerce 웹사이트를 사용하고 있다. 본 연구는 ELM을 기반으로 하여 소비자의 E-Commerce에 대한 정보보안 인식이 형성되고, 소비자의 관여도, 경험의 정도에 따라 그 효과 크기가 조절된다는 것을 설명하는 이론적 모형을 제시하고, 실증 연구를 통해 모형을 확인한다. 연구 결과, 소비자는 E-Commerce 웹사이트에 대한 인식의 유형에 따라 서로 다른 경로를 통해 E-Commerce 업체에 대한 신뢰 태도를 형성했고, 그 영향을 소비자의 관여도와 경험이 조절했다. E-Commerce에서 소비자의 정보보안 인식유형을 연구하는 것은 신뢰 형성에 대한 새로운 관점을 제시할 것으로 생각된다.

• 한국정보통신학회논문지
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• 제15권1호
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• pp.81-88
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• 2011

증강형 멀티미디어는 모바일 단말에 동영상이나 소리, 이미지와 같은 멀티미디어 정보를 출력할 때 그 콘텐츠와 관련된 증강형 정보를 부가적으로 제공하는 기술이다. Person Wide Web(PWW)은 실세계의 객체나 공간에 부착된 링크를 스마트폰으로 인식하고 링크에 연결된 지역 서버의 웹 문서를 모바일 단말 브라우저에 표시하는 기술이다. 본 논문에서는 지하철 등 공공장소에서 동영상 광고를 할 때 PWW 기술을 활용하여 증강된 광고 정보를 스마트폰에 제공하는 증강형 멀티미디어 상거래 응용 시스템을 설계하고 구현하였다. 광고 동영상 출력 중 PWW 링크를 방송하고 스마트폰에서 이를 수신하는 시스템을 Silverlight 플랫폼에서 구현하였고, 실험을 통해 PWW 기술이 증강형 멀티미디어 상거래를 효율적으로 지원할 수 있음을 보였다.

• 대한가정학회지
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• 제43권3호
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• pp.1-10
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• 2005

The purpose of this study was to investigate the enforcement strategy for Consumer Service marketing of an e-Commerce shopping mall. An e-CRM for a Cosmetic e-Commerce shopping mall, Data Warehousing(DW) component, analysis of data mining of the DW, and web applications and strategies had to developed for marketing of consumer service satisfaction. The major findings were as follows: An RFM analysis was used for consumer classification, which is a fundamental process of e-CRM application. The components of the DW were web sales data and consumer data fields. The visual process of consumer segmentations (superior consumer class) for e-CRM solutions is presented. The association analysis algorithm of data mining to up-selling and cross-selling indicates an association rule. These e-CRM results apply web DB marketing and operating principles to a shopping mall. Therefore, the system applications of e-CRM to Consumer services indicate a marketing strategy for consumer-oriented management.