• International Journal of Quality Innovation
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• 제7권2호
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• pp.19-49
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• 2006

Due to the globoal economic effect, Taiwan's small and medium-sized enterprise (SME) is much threatened by China. Since remarkable advances have being made in information technology, taking competition advantage for an enterprise has become a very important issue when facing rigorous global competition. However, the business of the enterprise starts with finding the customers' demands, and ends with fulfilling customers' demands. Therefore, in order to increase competition advantage for SME, the customer management must be effectively strengthened, especially by increasing customer satisfaction and maintaining good relationship with the customer. This is the key for an enterprise leading to success. The purpose of this study is aiming to discussing the relational analysis between customer and SME by viewing the four aspects of customer relationship management (CRM), which are relation marketing, customer service, customer value, and customer satisfaction. Moreover, this research will perform an empirical analysis on CRM for a typical small and medium-sized company so as to grasp its real definition and enterprises' demands. The conclusions will be drawn from our literature survey and practical experience as well as site investigation. Recommendations are evolved from discussing the interaction between customers and enterprises in improving their constructing factors and increasing benefits and values.

• 응용통계연구
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• 제21권2호
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• pp.211-219
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• 2008

고객 로열티는 한 회사가 지속적으로 수익을 계속 창출하기 위해 매우 중요한 요소이다. 특히 카드사는 멤버쉽(Membership)에 가입한 회원 및 가맹점과의 고객 관계 관리(Customer Relationship Management: CRM)가 무척 강조되는 업종이기에 카드사에서 고객 로열티는 더욱 더 중요하게 다루어지고 있다. 본 연구에서는 A카드사의 로열티스코어 개발 사례를 다루고자 한다. A카드사에서는 이해하기 쉽고 활용하기 쉬운 모델 개발을 목적으로 카드업종의 특성을 반영 한 로열티 스코어를 개발하고자 하였다. 본 연구에서 제안하는 로열티 스코어 모델은 반응변수에 개별 변수 별 로짓모형을 적용하고 이들 모형에서 얻어진 카이제곱 적합도 통계량을 가중치로 고려하는 방법이다. 본 연구에서 제안한 모델은 모델에 대한 안정성 평가 결과 시간의 흐름에 따라 매우 안정된 결과를 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제26권4호
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• pp.17-37
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• 2017

Purpose Customer Loyalty is the most important factor of customer relationship management (CRM). Especially in retailing industry, where customers have many options of where to spend their money. Classifying loyal customers through customers' data can help retailing companies build more efficient marketing strategies and gain competitive advantages. This study aims to construct classification models of distinguishing the loyal customers within a Korean retailing company using data mining techniques with R language. Design/methodology/approach In order to classify retailing customers, we used combination of support vector machines (SVMs) and other classification algorithms of machine learning (ML) with the support of recursive feature elimination (RFE). In particular, we first clean the dataset to remove outlier and impute the missing value. Then we used a RFE framework for electing most significant predictors. Finally, we construct models with classification algorithms, tune the best parameters and compare the performances among them. Findings The results reveal that ML classification techniques can work well with CRM data in Korean retailing industry. Moreover, customer loyalty is impacted by not only unique factor such as net promoter score but also other purchase habits such as expensive goods preferring or multi-branch visiting and so on. We also prove that with retailing customer's dataset the model constructed by SVMs algorithm has given better performance than others. We expect that the models in this study can be used by other retailing companies to classify their customers, then they can focus on giving services to these potential vip group. We also hope that the results of this ML algorithm using R language could be useful to other researchers for selecting appropriate ML algorithms.

• 패션비즈니스
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• 제6권5호
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• pp.136-150
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• 2002

In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

• 한국컴퓨터정보학회논문지
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• 제11권2호
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• pp.303-317
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• 2006

CRM에서 고객세분화 단계는 기업 뿐 아니라 그 고객들의 기대 가치(expected value) 또는 이익을 동시에 고려해야 한다. 그러나 최근의 고객세분화에 관한 대부분의 연구들은 단지 '수익성'이라는 기업 관점만을 고려하고 있다. 본 연구에서는 고객세분화 단계의 문제점을 규명하고 보완된 관점을 제시하고자 한다. 저자들은 기업 및 고객들 양자에 공히 이익이 되며, 나아가 고객세분화 단계를 보다 균형적으로 수행할 수 있는 방안을 모색했다. 그 결과 고객 세분화 단계에서 기업 관점과 고객 관점의 기대가치를 동시에 고려할 수 있는 균형적 제안모형을 제시했으며, 이 모형을 사례연구에 적용해 보았다. 또한 균형적 모형을 통해 분류된 네 개의 고객군들에 대해 고객전략을 도출하였다. 이 전략은 금융산업에서 일반적으로 적용할 수 있는 유형이다. 이 같은 균형적 세분화는 한 기업의 우량고객들을 보다 정확하게 규명할 수 있도록 할 것이다. 이를 통해 고객들의 만족도를 향상시키고 고객 유지 기간을 연장할 수 있을 것으로 기대한다. 또한 고객들의 요구와 선호도에 대한 기업의 통찰력을 제고할 수 있으며, 타겟마케팅을 위한 자원 할당에서 효과성을 제고할 수 있을 것이다.

• 지능정보연구
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• 제12권4호
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• pp.109-126
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• 2006

성공적인 고객관계관리(CRM : customer relationship management)를 수행하기 위해서는 효과적인 고객 등급화가 필요하다. 일반적으로 고객등급화는 고객별로 LTV를 산정한 다음 일정한 비율로 고객을 분류하여 등급을 정하는 방법이 사용되어 왔다. 그러나 이러한 방법은 등급간의 이질성을 명확하게 반영하지 못하기 때문에 적지 않은 문제점을 내포하고 있다. 본 논문에서는 Holistic Profit을 이용해서 고객을 등급화 하는 방법을 제시하고, A 생명보험회사의 고객자료을 이용해서 이를 검증하였다. Holistic Profit은 신용대출 승인정책에서 승인임계점수(Cutoff Point) 책정에 활용되고 있는 방법들 중의 하나이다. 요약하면, 본 논문의 목적은 Holistic Profit을 활용하여 보다 효과적이고 과학적인 방법으로 고객 등급화 하는 방법의 개발과 검증에 있다. 본 논문에서 제시된 방법을 사용해서 고객을 등급화 함으로써 기업은 보다 효과적인 고객관계관리(CRM)와 마케팅 활동을 수행할 수 있을 것으로 기대된다.

• 지능정보연구
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• 제13권4호
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• pp.17-34
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• 2007

본 논문은 고객관계관리를 위한 시장 세분화를 하기 위해 자주 사용되는 SOM에 대하여 고찰한다. 일반적으로, SOM은 군집의 수를 미리 파악하기 위하여, 구체적인 군집 분석이 이루어지기 이전에 사용된다. 그러나 인터넷이 발달하고 수집 가능한 데이터의 종류와 양이 증가함에 따라 복합적인 분석이 필요하게 되었다. 또한, 그에 따라 한가지 주제만으로 군집을 파악하는 것보다는 여러 가지의 주제들을 대상으로 고객데이터의 군집을 파악해야 하는 경우가 많이 발생하게 된 것이다. 따라서 이 논문에서는 이렇게 한가지의 주제가 아닌 여러 가지의 주제로 군집분석을 할 경우 한번으로 이루어지는 SOM 어프로치가 과연 군집의 수를 파악할 수 있는지를 실험하였다. 이미 구조를 알고 있는 데이터를 생성하여 실험을 해본 결과, 전체 데이터를 대상으로 여러 주제를 한꺼번에 포함시킨 경우 (single SOM 방식) 에는 그 구조를 제대로 파악하지 못하였으며, 하나의 주제마다 각기 다른 SOM을 사용(multiple SOM 방식)한 결과, 미리 정해졌던 구조를 제대로 파악할 수 있었다. 따라서 이 논문은 군집분석을 하게 될 경우, 좀더 조심스러운 접근법이 필요하며, 여러가지 주제를 포함하고 있는 데이타를 다룰 경우, SOM 분석 방법에 대하여 논의하였다.

• 패션비즈니스
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• 제7권1호
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• pp.38-54
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• 2003

This study looked into the present status of e-mail marketing, which is conducted in local Internet fashion shopping malls and is being used as a one-to-one marketing method in the e-CRM concept so as to establish an effective e-mail marketing policy by grasping problems based on the current status and by presenting solutions to the problems. This study analyzed the e-mail letters received during a certain period of time by 30 professional Internet fashion shopping malls of with famous goods, brands and non-brands. Four individuals subscribed to shopping mall through the procedure for membership applying for e-mail services. The analysis showed that there were no shopping malls that were doing a differentiated e-mail marketing among Internet shopping malls. As for time factor, they were sending e-mail letters irregularly regardless of a certain cycle. And as for visual factor, they didnt have any standard for the content of the mail. As for content factor, the contents of their mail were not differentiated and all the same. The comparison of fashion malls showed that the brand shopping malls were the most active in e-mail marketing. On the basis of the problems, the direction for the effective e-mail marketing of Internet shopping malls are presented as follows: First, individualized contents fitting for customers should be developed, and differentiated mailing services should be provided thereby. Second, each shopping mall should make periodic tests of mailing to find out the optimal time and day to provide e-mail services to the customers at the designated time. Third, e-mail should be differentiated fitting for the website according to a certain on a certain standard for visual effects and the identity of shopping mall should be established. Firth, in the contents of e-mail, the image and message elements should be properly harmonized and creative policies should be made with interactive or recreational elements. Fifth, a homepage policy which can satisfy customers demand for information when the e-mail is clicked on..

• 복식
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• 제65권7호
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• pp.75-85
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• 2015

The purpose of this study is to examine ways to vitalize cause related marketing (CRM) by proposing character T-shirts The campaign will employ Neo-Pop art, a genre popular with both companies and consumers. Study results are as follows: First, campaign T-shirts on the issue of human alienation resulting from digitalization can be utilized to generate financial profit that can be returned to society. This can lead to the acts of exchange for profit generation, public image improvemen of companies, and enhancement of their external status. As for the non-financial aspect, the campaign could lead to increased awareness of social issues and present opportunities to take actions of improvement. Second, the financial objective of character T-shirts dealing with environmental issue of sustainability involves brand distribution network support and revitalization of promotion such as shopping basket of love and eco-friendly store matching program for eco-friendly campaign. As for the non-financial aspect, it can help raise consumers' awareness of cause related activities such as crowd funding and fundraising and prepare opportunities of direct participation. Third, the financial objective of character T-shirts dealing with natural disaster relief activities on the global level involves brand recognition level increase and enhancement of positive association of companies through emergency relief and articles support as a result of drastic increases in casualties from nature disasters. As for the non-financial aspect, it can induce people's participation in relief activities and lead to the establishment of crisis response procedures. The information on the development of pop-art character T-shirts proposed in this study is expected to be used as basic information on cause marketing of fashion companies in the future, while providing inspiration to related fashion design.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.187-190
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• 2003

Since the early 1980s, the concept of relationship management in marketing area has gained its importance. Acquiring and retaining the most profitable customers are serious concerns of a company to perform more targeted marketing campaigns. For effective CRM (Customer Relationship Management), it is important to gather information on customer value. Many researches have been performed to calculate customer value based on CLV (Customer Lifetime Value). It, however, has some limitations. It is difficult to consider the churn of customers, because the previous prediction models have focused mainly on expected future cash flow derived from customers'past profit contribution. In this paper we suggest a CLV model considering past profit contribution, potential benefit, and churn probability of a customer. We also cover a framework for analyzing customer value and segmenting customers based on their value. Customer value is classified into three categories: current value, potential value and customer loyalty. Customers are segmented according to the three categories of customer value. A case study on calculating customer value of a wireless communication company will be illustrated.