• Journal of Computing Science and Engineering
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• v.4 no.1
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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.

• Information Systems Review
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• v.3 no.2
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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.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.703-708
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• 2020

The momentum of e-commerce is growing stronger and now, the competition between e-commerce is becoming more and more fierce. In the competition of various e-commerce companies, how to effectively analyze and rationally use these data has become a key point. This paper will use data mining technology to filter out redundant data from large Web databases, extract data that is useful to us, and then analyze them from different perspectives to apply this data reasonably and effectively to our e-commerce website.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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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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• v.1 no.2
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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.

• Knowledge Management Research
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• v.20 no.4
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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.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.53-67
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• 2003

The importance of web Mining is highlighted with growth of Electronic Commerce. Web Mining is the important field of subject for studying customer's purchasing trend in Electronic Commerce. This research defined customer's purchasing process as Fuzzy environment in Electronic Commerce. And it suggests new methodology that introduces Fuzzy theory based on current Web Mining methodology

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1225-1233
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• 2015

This study investigates the effects of information security awareness arising from E-Commerce in terms of the Elaboration Likelihood Model(ELM) and analyzes the moderating effect of the trust's involvement and experience. Consumers are using E-Commerce Web sites, depending on the level of involvement and experience in E-Commerce. This study is based on the ELM, the information security awareness of consumer confidence in E-Commerce form, according to the degree of experience and involvement suggested a theoretical model to describe the effect that the scaling and, through empirical studies validation of model. Consumer confidence is formed the attitude of the E-Commerce company through different paths, depending on the type of awareness in the E-Commerce web site, this moderate has the effect of consumer involvement and experience. Studying the information security awareness of consumer in the on E-Commerce is considered to present a new perspective on trust.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.81-88
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• 2011

Augmented multimedia is a technology to provide additional informations to mobile devices when multimedia contents like video, audio and images are being played. Person Wide Web, PWW, is a scheme for acquiring a link and browsing a corresponding web pages on mobile devices, in which the link is attached any object and space in real world. In this paper we proposed an augmented multimedia E-commerce application system based on PWW scheme which can browse additional informations from video play on public spaces, and implemented on Microsoft Silverlight platform. We showed that the proposed system can support effectively the augmented multimedia E-commerce.

• Journal of the Korean Home Economics Association
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• v.43 no.3 s.205
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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.