• Journal of The Korean Digital Architecture Interior Association
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• v.5 no.2
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• pp.43-51
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• 2005

In the modern market economy, where the consumers are increasingly seeking pleasure rather than convenience, a variety of retailers are making every effort to promote sales records. In order to achieve this goal, the division of work needs to be effectively performed and the allied enterprises need to cooperate with each other. Consequently, the Customer Relationship Management(CRM) system should be established through the research and analysis on brands and consumers. It is also necessary that the enterprises should cooperate mutually, using the PRM system which makes it possible to share the information from the CRM system. This report is going to propose a desirable cooperation which is reguaired in Retail Shop Design. And it will be done by describing the relation between CRM & PRM and the marketing based on brands and consumers.ere it examines closely the vibrating unit of the elevator and propose the countermeasure of it.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.255-258
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• 2002

고객과의 커뮤니케이션 및 관계유지로 대변되는 CRM(Customer Relationship Management)이 기업들의 가장 중요한 이슈로 부각되고 있다. 특히 전사적 관점의 CRM에서 통합 데이터베이스 정보를 분석하고 모형화하여 고객관리를 과학적이고 전략적으로 접근하려는 분석 CRM(Analytical CRM) 분야의 움직임이 가속화되고 있다. 이런 관점에서 본 연구에서는 분석 CRM의 핵심 요소인 데이터마이닝 기법을 이용하여 개발한 이탈 고객 스코어링 모델을 마케팅 층(Marketing Layor)에 연결해주는 캠페인 시스템을 개발하고자 한다. 개발한 시스템은 이탈 스코어링 결과 및 고객 이탈방지를 위한 캠페인 대상자 선정 작업을 쉽게 할 수 있도록 GUI 환경에서 제공해줌으로서 일반 사용자들이 쉽게 활용할 수 있도록 하였다.

• 한국IT서비스학회:학술대회논문집
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• 2002.06a
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• pp.238-243
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• 2002

With the advancement of information technology and the proliferation of e-Business, CRM has been emerging as a powerful concept or strategy for dealing with customer relationship, though not a new concept. Most CRM applications have been focused on business situation where there are direct channels with customers, as in retailing and banking industry, etc. In this paper, we analyze the case of a manufacturing company where the primary concern lies on indirect channels management, such as selling agencies and distributors. Some issues related to the characteristics of the manufacturing company and the interface with ERP and SCM need to be investigated. Based on the consultation project with L company, we propose a successful CRM implementation strategy and point out some issues in implementing the CRM for a manufacturing company.

• CRM연구
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• v.2 no.1
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• pp.15-32
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• 2009

Companies consider customers as an equity, which is expected to increase customer loyalty. However, customer loyalty does not linearly increase in real world by the customer equity always. This research investigates a mediating variable which influence the relationship between customer equity drivers and customer loyalty. We focus on customer value as a customer equity driver which is the most basic factor among customer equity drivers. We examine that online trust as a mediator between the customer value and customer loyalty in on online shopping mall context. Customer value consists of perceived convenience, quality, and price. Findings indicate that online trust mediates the relationship between customer value and customer loyalty. Especially, online trust perfectly mediates the perceived convenience and the perceived quality. The perceived convenience influences online trust most significantly and perceived quality and perceived price are following in the order of strength. Our results implicate that online trust is an important mediator of the relationship between customer equity and customer loyalty in online shopping mall context and need to be managed as a customer relationship management index to increase customer loyalty. In addition, perceived convenience is the most important factor to increase online trust in matured online market.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.51-63
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• 2003

This study designs and implements a new approach to the classification of e-mail requests from customer based on machine learning techniques. The work on building an electronic mall classifier can be cast into the framework of text classification, since an e-mail is a viewed as a document, and judgement of interest is viewed as a class level given to the e-mail document. It is also implemented an e-mall based automated response system that integrate with Call Center in a practical use.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1237-1248
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• 2011

Social network analysis(SNA) has been recently applied to business areas such as social network services (such as Facebook and Twitter). In addition, the mobile telecommunication field attempts to analyze CDR(call detail record) data and apply customer relationship management and customer churn management through the use of social network analysis. The paper analyzes links between ego and alter based on ego-network and discovers four kinds of customer roles and then provides insights as a tool for customer relationship management or customer management.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.119-128
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• 2002

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Health Policy and Management
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• v.13 no.3
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• pp.21-34
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• 2003

Patient revisit to used hospital is a key factor in determining a health care organization's competitive advantage and survival. This article examines the relationship between customer's satisfaction and his/her revisit associated with three different methods which are the Chi Square Automatic Interaction Detection(CHAID) for segmenting the outpatient group, logistic regression and neural networks for addressing the outpatient's revisit. The main findings indicate that the important factors on outpatient's revisit are physician's kindness, nurse's skill, overall level of satisfaction, hospital reputation, recommendation, level of diagnoses and outpatient's age. Among these ones, physician's kindness is the most important factor as guidelines for decision of their revisit. The decision maker of hospital should select the strategy containing the variable amount of the level of revisit and size of outpatient's group under the constraint on the hospital's time, budget and manpower given. Finally, this study shows that neural networks, as non-parametric technique, appear to more correctly predict revisit than does logistic regression as a parametric estimation technique.

• Management & Information Systems Review
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• v.29 no.3
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• pp.97-121
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• 2010

Many enterprises introduce CRM as a new process accessible to customers. And BSC forces managers to focus on balanced measures of business performance that are most critical. The purpose of this study is to find out the determinants of CRM adoption through the analysis which examine the relationship among the key success factors, and business performance using the BSC perspective. This study also gives the suggestion for the effective CRM implementation in the korean companies. This study has been conducted using the data collected from 115 companies implementing CRM. By analyses of the questionnaires, empirical results shows that the implementation of CRM has positive effect on business performance with 4 perspectives of BSC. The contribution of this study is that it provides a conceptual framework and empirical evidence of the causal relationship between key success factors, and business performance with 4 perspectives of BSC concept. This study showed that more consideration are essential to obtain balanced business performance for companies with CRM adoption plan.

• Health Policy and Management
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• v.16 no.1
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• pp.54-72
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• 2006

This study was conducted as the primary work to develop a customer relationship management (CRM) system to improve the performance of health screening programs. The specific aims of the study was to identify and classify the characteristics of the people who did not receive their health screening using decision trees and to propose management strategies according to their characteristics identified. The data on a total of 5,102,761 subjects of health screening provided by the National Health Insurance Program in the year of 2002 were used. The target variable was whether they underwent their health screening. The input variables included a total of 27. The SAS 9.1 version was used for data preprocessing and statistical analyses. SAS Enterprise Miner was used to develop the decision trees model. The decision trees identified the factors greatly affecting the health screening. In the non-disease group, the highest rate of non-examinees was characterized by: no experience of receiving a health screen, household's age, non-insured episode for the last one year, and patients' age. In the disease group, the one showing the highest rate of non-examinees was characterized by: no experience of receiving a health screening, no experience of going to public health center or midwife clinic for the last one year, and examinees' age. Developing CRM systems for health screening management taking into account the individual characteristics would be considerably helpful to increase the rate of receiving health screening.