• Journal of the Korea Safety Management & Science
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• v.5 no.3
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• pp.107-119
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• 2003

Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.

• Journal of Digital Contents Society
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• v.2 no.2
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• pp.117-127
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• 2001

Since the number of e-malls is increased by the rapidly Progress of internet, most e-malls are trying to increase customers' interests by providing personalized services. To Provide this service for CRM, the e-mall must use the personalized rules calculated from customer transaction database. The more filtered transaction data are, the more the e-mall services efficiently and exactly to customer's need. The filtered transaction database is necessary to obtain the food personalized rules. In this paper we propose and develope a personalized e-mall with association rules based on view history of excellent customers who have good transaction data. Association rules based on view history of excellent customers reduce the access time and computing costs. The e-mall with them can provide personalized services more efficiently and exactly.

• Proceedings of the KAIS Fall Conference
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• 2004.11a
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• pp.243-246
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• 2004

고객에 대하여 CRM 방식의 핵심인 집중 공략을 하기 위해서는 개인의 정보와 취향의 연관성과 개인이 이루는 집단에 대한 정보 등에 대한 지식이 반드시 필요하다. 따라서 좀더 personalized 된 전자상거래 웹사이트를 개발하여 사용자의 정보와 각각의 사용자가 이루는 그룹에 대한 정보를 데이터베이스에 저장하고, 그 정보를 이용하여 CRM을 가능하게 할 수 있는 전자상거래 시스템을 구축하는 방법에 대해 연구하였다.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.205-211
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• 2012

This paper presents research result of digital marketing model for improving enterprise marketing campaign performance. Recently, the enterprises which had completed projects such as ERP, CRM, and SCM for business value chain process transformation are working to improve enterprise marketing process. It is the trend for enterprises to use digital marketing tactics to overcome the limit of existing traditional marketing tactics. Especially, enterprises try to adopt digital marketing for marketing campaign performance. In this paper, digital marketing research model and hypothesis were established and statistically analyzed by marketing expert survey research. The research finding is that Web Analytics, Social Analytics, Personalized CRM, Campaign execution automation, Real-Time campaign management can be core influencers for marketing campaign performance improvement.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.155-165
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• 2006

Along with the evolution of wireless internet environment, information services in mobile internet are being explosively increased. However, due to the high expense for the use of those services, it is not easy to collect the devoted customers. In order to overcome the adverse conditions, the service should be supported by a strategic application system which facilitates easier and fast service for customer's information needs than that of traditional on-line internet. In this paper, we investigate the strategy how to provide the information service under the customer satisfaction, and also consider some ways of personalization of information service and information provision in real-time. As a result of the works, we develop a system, MoSA-CRM(Mobile Service Application based on CRM) to support customer-oriented information service. We believe that the MoSA-CRM system can provide some benefits for information providers in mobile e-commerce market such as flexibility in business strategy, systematic customer relationship management, and growth in financial ability.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.29-32
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• 2006

In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the users' access pattern to web site and their following purchasable items and improves their web pare on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning it employs Rough Set, which is a method that searches the association rule and offers most suitable cases by reduces cases. It reasons the web pages by considering the users' access pattern and time by using the web log and reasons the users' purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of users' web pages and displays the inferred goods on users' web pages.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.20-27
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• 2008

Hospitals today use independent systems for each department and job such as Hospital Information Sytem(HIS), Picture Archiving Communications System(PACS), Ordering Communication System(OCS), Electronic Medical Record(EMR), Enterprise Resource Planning(ERP), etc and each system employs its own DB. So, it is impossible to integrate information within the institution and difficult to keep transparency and consistency of data. I in this study offered a data integration environment through flexible management linked with other systems, and by doing that, designed a medical CRM frame which offers the optimum service the customer wants at the optimum time. I designed 4 of medical CRM frame: customer relationship management, public relations/marketing, service management, and statistics/analysis by the customer relationship management process standardization and aimed to offer tailored mobile contents according to customer's characters and health situation on the basis of customer's data by securing mobile medical contents for personalized medical information service.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.91-96
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• 2016

In this paper, we propose the CRM service model for analyzing and managing location based data collected by Wi-Fi and BLE. As mobile devices became personalized, enterprises became interested in individual location, and location based mobile marketing started to stand on spotlight. Location based proximity marketing is developing along with contactless data transmission technology, and payment system that uses NFC, Beacon that utilizes BLE, as well as advertisement via Wi-Fi are being serviced. We suggest the model that mobile devices can be detected and identified by MAC address with the need of being connected to Wi-FI or Bluetooth interface. MAC addresses are not associated with any specific user account or mobile phone number. The idea is to be able to measure the amount of people which are present in a certain point at a specific time, allowing the study of the evolution of data analysis and offers effective information for decision-makings.

• 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.

• 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.