• 한국멀티미디어학회논문지
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• 제12권1호
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• pp.85-96
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• 2009

시장에서의 경쟁 심화와 소비자의 요구변화로 고객관계관리(CRM)가 기업의 경영전략을 결정하는데 중요한 역할을 하는 추세이다. 또한, 유비쿼터스 환경의 도래로 고객관계관리 분야에서도 새로운 응용이 시도 되고 있다. 고객관계관리를 위한 전통적인 데이터 수집방법은 고객 사생활 침해나 부정확한 데이터 등의 문제를 야기할 수 있어 새로운 방법이 요구되고 있다. 본 논문에서는 RFID 미들웨어로 부터 획득된 데이터를 서버에 저장한 후, 자동으로 분석정보를 생성하는 유비쿼터스형 고객관계관리를 위한 RFID 기반의 분석정보 생성 시스템을 제안한다. 제안하는 시스템을 전시장에 적용하여 시스템으로부터 생성된 분석정보를 기업과 고객에게 제공한다. 본 논문에서 제안하는 시스템의 활용은 고객, 기업, 상품에 대한 유비쿼터스적인 정보제공을 가능하게 하고, 클러스터링, 연관성, 순차성과 같이 보다 정확하게 분석된 정보를 제공하여 기업의 고객관리와 다음 의사결정에 긍정적인 영향을 미친다.

• 지식경영연구
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• 제19권4호
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2001년도 춘계 Conference: CRM과 DB응용 기술을 통한 e-Business혁신
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• pp.1-9
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• 2001

o CRM은 모든 e-business 전략의 초석임 o 고객 중심이 되도록 모든 업무 프로세스를 정리함 o 기업 내/외부의 모든 업무 프로세스를 통합함 o 공급망 및 기업 내부와의 통합이 필수적임 o CRM 실현 기술 및 패키지 관점의 프로젝트가 아니라, 명확한 기업의 목표 및 고객 특성 분석에서 출발해야 함. (중략)

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2001년도 춘계 Conference: CRM과 DB응용 기술을 통한 e-Business혁신
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• pp.195-207
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• 2001

o CRM을 이야기 할 때 Analysis 측면이 지나치게 강조 되고 있으나, 우선 투자하여야 할 분야은 고객과의 접촉을 실행하기 위한 Operation 부분임.(실행 체제를 갖춘 후에 Intelligence를 가미해야 함). o 고객 센터는 CRM의 효율적 수행을 위한 필수 Infra - 정보 수집의 창구 - 고객 접촉의 최 일선 창구 (중략)

• 대한안전경영과학회지
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• 제9권3호
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• pp.111-118
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• 2007

What is CRM(Customer Relationship Management) means that planning, executing, and re-accessing the marketing strategy based on the customer character by analyzing the material related to customers. That is CRM is a strategy of customer service on the base of data. In the case of the telecommunications and a newspaper, there are restricted application of CRM, because they are provided services by paying a given amount of money within a given period of time. This paper develops CRM model(chum prediction model) that can apply to a newspaper. For model-building, real data were used which were collected from one of the major a newspaper company in Korea. Also, this paper verifies the efficient result.

• Asia Marketing Journal
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• 제7권1호
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• pp.21-42
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• 2005

고객관계관리(customer relationship management: 이하 CRM)는 고객에 대한 정보를 수집하고 수집된 정보를 효과적으로 활용하여 신규고객획득, 우수고객 유지, 고객가치 증진, 잠재고객 활성화, 평생 고객화의 순환을 통하여 고객을 적극적으로 관리하고 유지하며 고객의 가치를 극대화시키기 위한 기업 마케팅 전략의 일환이다. 특히 경쟁 환경이 급변하고 치열해 짐에 따라 기업의 수익 극대화를 위한 고객가치 증대 및 고객과의 관계 형성을 위한 CRM활동 중 고객의 이탈방지를 통한 유지관리의 중요성이 점차 커지고 있으며, 이러한 움직임은 고객 세분화를 통한 이탈고객 관리분석으로 주로 금융시장에서 다루어져왔다. 한편, 금융시장뿐만 아니라 모든 사업 분야에서 고객 유지 및 이탈방지를 위한 분석의 필요성은 높아지고 있다. 그 이유는 자사가 보유하고 있는 고객의 특성을 파악함으로써 기존의 고객을 효과적으로 유지·관리하여 고객이탈을 막는 것이 고객관리에서 점차 그 중요성을 더하기 때문이다. 그러나 아직까지 필요성만 대두될 뿐 어떠한 속성을 보유하고 있는 고객이 쉽게 이탈하는지를 판별할 수 있는 이탈고객에 대한 체계적인 연구가 진행되지 않았다는데 한계점이 있다. 이에 본 연구에서는 TV 홈쇼핑사의 실제 고객자료를 통하여 고객의 유지 및 이탈방지를 위한 CRM전개방안, 이탈고객과 유지고객간의 인구통계적 속성 및 거래 행동의 특성 차이를 분석, 이탈에 미치는 영향력이 높은 변수를 밝혀내고 이탈고객예측 모형을 통하여 개별고객의 이탈확률을 예측하고자 했다. 더 나아가 실증 분석 결과를 바탕으로 이탈예측고객을 대상으로 고객 이탈을 방지하고 거래유지 및 활성화를 위한 CRM전개 방안을 도출, 이를 바탕으로 TV 홈쇼핑사가 수립해야할 마케팅 전략을 제시한다.

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.831-840
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• 2001

In this study, We introduce the process of web usage mining, which has lately attracted considerable attention with the fast diffusion of world wide web, and explain the web log data, which Is the main subject of web usage mining. Also, we illustrate some real examples of analysis for web log data and look into practical application of web usage mining for eCRM.

• 유통과학연구
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• 제15권1호
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• pp.57-70
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• 2017

Purpose - This study examined the effects of CRM success factors on business performance and customer performance, and the effects on job performance and customer performance through internal member satisfaction by considering of technology, organizational environment and customer relationship factors in CRM success factors from banking sectors. Research design, data, and methodology - An online questionnaire was conducted to 251 employees in banking sectors. The data were analyzed by SPSS 22.0 and Amos 21.0. CRM success factors, internal member satisfaction, job performance, and customer performance were analyzed by descriptive statistics and Pearson's correlation analysis. The bootstrapping in structural equations was conducted to verify the mediating effect of internal member satisfaction. Results - Internal members' satisfaction had a positive effect on job and customer performance. It mediated the relationship between organizational environment, customer relationship factors and job performance. It also mediated the relationship between organizational environment and customer performance. Conclusions - If internal members' relationship with customers is improved by the members' satisfaction, customer retention, customer satisfaction, and work performance will be achieved. The stability and usability in CRM system support jobs effectively, but the internal members did not feel their job satisfaction. Thus, they did not show a positive effect on job and customer performance.

• 한국의류학회지
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• 제27권6호
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• pp.685-695
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• 2003

The purpose of this study was to identify dynamic relationship structure in fashion Internet shopping mall and to present marketers to perform marketing strategy in e-CRM, focusing on trust and commitment. 473 customers who had purchased fashion products in fashion internet shopping mall had participated in the survey. Finally, 470 were used into data analysis. The data was analyzed by factor analysis, t-test, ANOVA, correlation analysis and Structural Equation Model(SEM) using AMOS program. As the results, 'economic benefits' and 'service' variables had the positive effects on 'trust'. Especially, 'service' had the major effect on 'trust'. 'Trust' and 'product information quality' had the positive effects on 'emotional commitment'. 'Trust', 'economic benefits' and 'reputation' had the positive effects on calculus commitment, while contents had the negative effect. Also, 'emotional' and 'calculus' commitment had positive effects on 'relationship maintenance intention'. 'Emotional commitment' had higher effect on 'relationship maintenance intention' than 'calculus commitment'. 'Calculus commitment' had the positive effect on discontinue relationship intention when shopping mall made mistakes. The results of this study provide e-CRM marketing strategy for marketers of fashion internet shopping mall.

• 한국의류학회지
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• 제33권5호
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• pp.793-803
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• 2009

The purposes of this study were to investigate the factors CRM at department store and customer's perceived relational benefits and to analyze the effects of CRM on relational benefits and satisfaction. The data were collected from 760 people aged from 20 to 69 who were shopping in department stores. The data were analyzed with descriptive statistics, factorial analysis, multiple regression analysis, and Cronbach' ${\alpha}$, using the SPSS 12.0. The results were as follows. 1) CRM activities were classified into 5 factors: 'discount-related information', 'communication', 'management after purchase', 'service', and 'differentiate management'. 2) Perceived relational benefits were classified into 4 factors: 'informational benefit', 'psychological benefit', 'convenience benefit', and 'economic benefit'. 3) Perceived relational benefits were affected by 'communication', 'management after purchase', 'service', and 'discount-related information'. And 4) customer satisfaction was affected directly by 'psychological benefit', 'convenience benefit', 'service', and 'discount-related information'.