• Communications for Statistical Applications and Methods
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• v.12 no.1
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• pp.191-197
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• 2005

Application of data mining techniques to the world wide web, referred to as web mining, has been the focus of several recent researches. With the explosive growth of information sources available on the world wide web, it has become increasingly necessary to track and analyze their usage patterns. In this study, we introduce a process of pre-processing and cluster analysis on web log data and suggest a distance measure considering the structural relationships between web contents. Also, we illustrate some real examples of cluster analysis for web log data and look into practical application of web usage mining for eCRM.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.245-261
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• 2009

Since XML emerged as a standard for data exchange on the web, it has been widely used for applications like e-Commerce, CRM, and BI. However, it is common that most of business data is stored in relational database systems, and it is expected that business data management would still be centered around the relational database systems. As such, the technique of viewing relational data as XML and processing XML queries against it is required. To meet such a need, in the SQL/XML standard, the functions to publish relational data as XML are provided. In this paper, we propose the techniques of providing an XML view of relational data defined by an SQL/XML statement in DTD(Document Type Definition), and of processing XPath queries against the XML view by translating them into SQL/XML statements, and describe the validation of such techniques through implementation and tests.

• Culinary science and hospitality research
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• v.8 no.1
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• pp.1-21
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• 2002

A study is on the market ing strategy which applied the web site for family restaurant. The internet marketing that the firm uses to attract consumer needs and it can be said to be the strategic effort to cope with dynamic environmental change in the market with strategic flexibility which has competitive advantage and increase its profitablelity. This study establish an internet marketing strategy plan and it presented. First, it constructs a data base using CRM and it manages with to create the benefit model. Second, it constructs the trusted relationship of the customer using Permission marketing. Third, the virus marketing is effect ive to create customers in short duration. Forth, e-mai1 marketing for target customer is also effective Fifth, experienced marketing provides the good experience and an immersion. Sixth, tie-in marketing which co-operate with the other company is magnifies a category of customer therefore this study about internet marketing action will be hopefully continued.

• Journal of Digital Convergence
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• v.2 no.2
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• pp.9-28
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• 2004

The purpose of this study is explore the changes of environment in terms of diffusion of EC and to present effective marketing strategies for Electronic Commerce Activation. This paper focuses on the customer management, Real-Time Responding, and market strategies in Electronic Commerce. EC(Electronic Commerce) that out of the evolution of Internet technology gets a corporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. This paper is focusing the analysing the difference between the e-marketing and traditional marketing and proposing the new strategical marketing mix. On the Electronic Commerce, the 6Cs of marketing - Contents, Community, Commerce, Connection, Communication, Customizing - are being played out quite differently than they normally are off-line. In conclusion, the change in Electronic Commerce environment results in (1) redefinition of customer group, (2) different marketing strategies to fit in Electronic Commerce environment, and (3) changes in customer management, promotion strategy, advertizing appeal.

• International Commerce and Information Review
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• v.7 no.3
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• pp.97-111
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• 2005

This paper object is application of electronic Customers Relationship Management(e-CRM) for buyer This paper focuses on the possibility of the adaption of Escrow system in Local L/C opening and payment. The purposes of this study are to obtain efficiency and stability of Local L/C and to provide opportunity to accept trust of the transaction parties. The results of the study show that Escrow system is recommended when Local L/C opened, because Escrow system has the following merits: (1) Open system of internet can be used to Local L/C process. (2) Transaction process of Escrow system is very simple. (3) One stop transaction can be applied to all the process of local L/C.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.130-132
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• 2001

워크플로우의 응용 분야 중에서 전자상거래의 B2B나 B2C에 적용하는 사례가 빈번히 발생하는 추세이다. 이에 워크플로우의 모니터링을 이용하여 전자상거래의 프로세스의 경향을 분석하여 기업에게는 고객의 분석, 고객에게는 상품의 선택에 있어서 정보를 제공할 수 있다. 이러한 일련의 과정을 워크플로우를 적용한 전자상거래의 프로세스 마이닝이라 할 수 있다. 프로세스 마이닝을 위해 내부 데이터 흐름 즉, 워크플로우의 관련데이터를 모니터링하여 제공해야 한다. 또한 기존의 모니터링의 기능 중에 프로세스의 흐름을 분석하는 기능을 추가해야 한다. 본 논문에서는 프로세스 마이닝이 하는 알고리즘을 일반화 하여 전자상거래의 최대 관심사인 CRM을 구축하는 정보로 제공한다.

• Agribusiness and Information Management
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• v.1 no.1
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• pp.19-36
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• 2009

1999년 이후 농업인 홈페이지 지원사업 실시 이래 2008년까지 농업인이 운영하는 홈페이지는 전국적으로 1만개소에 달하고 있다. 전자상거래를 성공적으로 운영하고 있는 농업인들의 경우 고객관리에 대한 중요성 인식도가 높고, 이를 관리하기 위한 다양한 프로모션을 전개하고 있다. 이번 연구에서는 농촌진흥청에서 진행하고 있는 농업인 전자상거래 사업에 참여하고 있는 농업인을 대상으로 하여 이들의 고객관리에 대한 필요성 인식정도, 고객확보를 위한 활동, 고객관리의 방법, 고객관리의 유형과 기준, 확보된 고객의 관리를 위한 활동 등을 조사하였다. 농업인들은 전자상거래를 수행하면서, 고객과 직접 접하게 되고, 상품의 판매과정에서 고객관리의 필요성을 높게 인식하고 있으며, 블로그 개설 등 온라인 활동으로 폭을 넓혀가고 있음을 확인할 수 있었다. 하지만, 상당수의 농업인들이 고객관리의 필요성 인식에 비해 이를 실천할 구체적 활동방식과 실행 방법에 대해 구체적이지 못하기 때문에, 정부의 시스템 지원과 교육사업에 있어서 새로운 접근이 필요함을 보여주고 있다.

• Fashion & Textile Research Journal
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• v.7 no.1
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• pp.4-12
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• 2005

The purpose of this study was to analyze the utilization of Fashion Brands Web-site. This analysis was done by 6C Concept(Contents, Community, Commerce, Connection, Customizing, Communication) which was Internet Marketing Strategy. The review of previous studies and empirical investigations through the Internet were processed for this study. 151 fashion brands in department stores in Daegu, Korea were surveyed from January to February 2004. Data were analyzed by using frequency and percentage. Total 105 brands established their Web-Sites of Internet out of 151(69.5%) fashion brands. There were four characters on Contents, six characters on Connection and five characters on Communication. And there were a establishing rate of 38.1 percent on Online Community and 30.5 percent on Online Shopping Mall. On Customizing, 73.3 percent of brands had e-CRM systems.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.381-402
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• 2003

The Purpose of this study is explore the changes of environment in terms of diffusion of EC and to present effective marketing strategies for Electronic Commerce Activation. This paper focuses on the customer management, Real-Time Responding, and market strategies in Electronic Commerce. EC(Electronic Commerce) that out of the evolution of Internet technology gets a corporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. This paper is focusing the analysing the difference between the e-marketing and traditional marketing and proposing the new strategical marketing mix. On the Electronic Commerce, the 6Cs of marketing - Contents, Community, Commerce, Connection, Communication, Customizing - are being played out quite differently than they normally are offline. In conclusion, the change in Electronic Commerce environment results in (1) redefinition of customer group, (2) different marketing strategies to fit in Electronic Commerce environment, and (3) changes in customer management, promotion strategy, advertizing appeal.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.2
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• pp.59-75
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• 2004

Recommendation is a personalized information filtering technology to help customers find which products they would like to purchase. Collaborative filtering works by matching customer preferences to other customers in making recommendations. But collaborative filtering based recommendations have two major limitations, sparsity and scalability. To overcome these problems we suggest using adjusted product hierarchy, grain. This methodology focuses on dimensionality reduction and uses a marketer's specific knowledge or experience to improve recommendation quality. The qualify of recommendations using each grain is compared with others by several experimentations. Experiments present that the usage of a grain holds the promise of allowing CF-based recommendations to scale to large data sets and at the same time produces better recommendations. In addition. our methodology is proved to save the computation time by 3∼4 times compared with collaborative filtering.