• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.493-496
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• 2002

전자상거래에 대한 많은 관심으로 이제는 전자상거래를 통한 다양한 분야에 대한 시도도 매우 활발하게 이루어지고 있는 실정이다. 뿐만 아니라 정부와 공공기관에서도 전자상거래에 대한 다양한 지원 노력이 이루어져 그야말로 전자상거래의 신시대라 할 수 있다. 그러나 아직 많은 기업들과 단체에서는 전자상거래에 대한 도입을 주저하고 있다. 불확실한 수익구조와 미진한 기술 개발 그리고 인력 때문이다. 본 논문에서는 이러한 문제점을 해결하기 위한 수단 중 하나로서 고객관계관리(eCRM)와 공급사슬관리(eSCM)의 상호보완적 구성기법과 모델에 관하여 다루고 있으며 통합시스템을 구축하기 위한 절차와 최적의 통합시스템을 통한 비즈니스의 부가가치를 극대화하는데 목적이 있다.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.45-54
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• 2008

As mobile Web technology becomes more increasingly applicable. the mobile contents market. especially the music downloading for mobile phones, has recorded remarkable growth. In spite of this rapid growth, customers experience high levels of frustration in the process of searching for desired music contents. It affects to a re-purchasing rate of customers and also. music mubile content providers experience a decrease in the benefit. Therefore, in aspects of a customer relationship management (CRM), a new way to increase a benefit by providing a convenient shopping environment to mobile customers is necessary. As an solution for this situation, we propose a new music recommender system to enhance the customers' search efficiency by combining collaborative filtering with mobile web mining and ordinal scale based customer preferences. Some experiments are also performed to verify that our proposed system is more effective than the current recommender systems in the mobile Web.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.197-220
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• 2005

This research aims to explore faculty research support systems in university libraries, assess their service performance for faculty research, and suggest the need and roadmap for new service development. We perform in-depth analyses of not only the current university library evaluation criteria as part of the overall university evaluation criteria, but also ten university libraries in the United States and two university libraries in Korea. Thorough benchmarking studies reveal the problems of the current university library evaluation criteria in its advances and limitations of current faculty support service systems. Especially this research suggests to develop a one-stop service execution wheel for the roadmap for the faculty research support system which is based on customer relationship management(CRM) for one-to-one, mass-personalized services to the faculty.

• Korean Management Science Review
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• v.19 no.2
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• pp.1-23
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• 2002

It has been considered as a means for sustaining a competitive advantage for companies to build and maintain long-term relationships with customers. It is without any doubt that many companies have tried to initiate Customer Relationship Management (CRM). For the effective management of customer relationships, it is critical that they acquire. share and use customer information and knowledge. In this paper, we deduced 9 important factors affecting the qualify of customer information and knowledge from the literature reviews on CRM, and developed the questionnaire to measure these factors. The factors are again categorized into organizational system, employees and IT. We analyzed data collected from 30 companies in service industries such as the finance. distribution and communication industries. The result of data analysis demonstrates that the employees' analytical shills and appraisal and reward systems are closely related to the quality of customer information, and analytical skills and IT support for communications with customers are associated with the quality of customer knowledge. implications of findings and future research directions are discussed.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.336-341
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• 2001

무선인터넷 환경하에서 기업의 무선상거래의 활성화를 위해서는 제품 및 서비스에 대한 홍보가 무선인터넷을 통해서 이루어져야 한다. 즉, 해당 상품에 대한 정보를 느낄만한 사람들에게 필요한 시점에 무선 광고를 전달하기 위해서는 고도로 개인화된 마케팅에 대한 연구가 필요하다. 본 논문에서는 무선인터넷이라는 매체가 가지는 특성을 기반으로 개별화마케팅을 수행하기 위해 개인정보 취득 및 처리단계에서 데이터마이닝 기법인 연관관계와 군집모델 탐사를 통하여 고객의 관심사를 분석하고, 이를 토대로 마케팅을 수행하는 시스템을 설계하였으며, 이후 프로모션 정책수립과 마케팅 수행방안들을 제안한다. 이는 기업의 모바일 환경에서의 고객관계관리(mCRM)를 위한 솔루션 개발의 기반기술이 될 것이다.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.20-27
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• 2005

In this paper, m(mobile)-commerce system based on LBS is implemented. WIPI(Wireless Internet Platform for Interoperability) that supports COD as a mobile VM(Virtual Machine) is used. These experimental results show that the system we proposed could be very efficient for CRM(Customer Relationship Management) and target management. And also, server load and connection time is improved by this system. From now on mobile commerce system based on LBS can be usable at various areas in ubiquitous environment.

• CRM연구
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• v.4 no.1
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• pp.55-68
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• 2011

Recently with the development of Web services by utilizing a variety of web content, the studies on user experience and personalization based on web usage has attracted much attention. Majority of personalized analysis are have been carried out based on existing data, primarily using the database and statistical models. These approaches are difficult to reflect in a timely mannerm, and are limited to reflect the true behavioral characteristics because the data itself was just a result of customers' behaviors. However, recent studies and commercial products on web analytics try to track and analyze all of the actions from landing to exit to provide personalized service. In this study, by analyzing the customer's click-stream behaviors, we define U-Score(Usage Score), P-Score (Preference Score), M-Score(Mania Score) to indicate variety of customer preferences. With the devised three indicators, we can identify the customer's preferences more precisely, provide in-depth customer reports and customer relationship management, and utilize personalized recommender services.

• Journal of Intelligence and Information Systems
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• v.13 no.3
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• pp.83-99
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• 2007

Nowadays, the advancement of digital information technology resulting in the increased interest of the management and the use of information has given stimulus to the research on the use and management of information. In this paper, we propose an integrated data mining model that can provide the necessary information and interface to users of scientific information portal service according to their respective classification groups. The integrated model classifies users from log files automatically collected by the web server based on users' behavioral patterns. By classifying the existing users of the web site, which provides information service, and analyzing their patterns, we proposed a web site utilization methodology that provides dynamic interface and user oriented site operating policy. In addition, we believe that our research can provide continuous web site user support, as well as provide information service according to user classification groups.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.215-224
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• 2012

This study performs an exploratory investigation of the needs of the customers who use academic information service from a research institute, K, that provides information services for domestic academic institutions of natural science and technology. K institute is planning customized services in order to improve customer satisfaction on the academic information service And therefore, the institute begins the research on customer needs analysis and customer segmentation. The research is regarded as well-timed, because CRM implementation in public organizations has been activated recently. Data mining and data warehousing techniques were used for pilot analyses. For the purpose of customer segmentation, a mixed segmentation model, which adds product life cycle concept to the 'balanced customer segmentation' model, which in turn considers the value of customers from the organizational viewpoint and the value of organizations from the customer's viewpoint, simultaneously, was applied. The result of investigation indicated that, in the case of K, 'balanced customer segmentation' and 'contents reach approach' which uses data warehouse/OLAP, rather than those customer segmentation techniques that are often used within the industry, are the more potent ways of approach. This exploratory case study is expected to provide a useful guideline for 'deriving an organizationally unique CRM model' that recently is one of the hot topics in the CRM area.