• 경영과학
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• 제26권1호
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• pp.183-196
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• 2009

Customer retention has been a pressing issue for companies to get and maintain the loyal customers in the competing environment. Lots of researchers make effort to seek the characteristics of the churning customers and the loyal customers using the data mining techniques such as decision tree. However, such existing researches don't consider relationships among customers. Social network analysis has been used to search relationships among social entities such as genetics network, traffic network, organization network and so on. In this study, a customer network is proposed to investigate the differences of network characteristics of churning customers and loyal customers. The customer networks are constructed by analyzing the real purchase data collected from a Korean cosmetic provider. We investigated whether the churning customers and the loyal customers have different degree centralities and densities of the customer networks. In addition, we compared products purchased by the churning customers and those by the loyal customers. Our data analysis results indicate that degree centrality and density of the churning customer network are higher than those of the loyal customer network, and the various products are purchased by churning customers rather than by the loyal customers. We expect that the suggested social network analysis is used to as a complementary analysis methodology with existing statistical analysis and data mining analysis.

• 유통과학연구
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• 제14권10호
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• pp.73-79
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• 2016

Purpose - Customer satisfaction has been considered important as a way to retain current customers. Specifically, the retention of current customers through customer satisfaction has been considered important in an industry where competition between companies is fierce. Major Korean airlines have confronted fierce competition with the growth of low cost carriers (LCCs). In order to survive, these airlines need to retain their customers. This research aims to investigate the relationships between customer satisfaction and the customer intention to remain loyal. Moreover, this study examines how the influence of customer satisfaction on customer loyalty is moderated by gender. Research design, data, and methodology - A regression model is developed in which customer satisfaction, gender, and an interaction of satisfaction and gender are predictors and the customer's intention to remain loyal is a dependent variable. To analyze this research model, data were collected from 402 university students taking a marketing class in universities in Seoul, Chung-Cheong province, and Kangwon province. After eliminating data from students who had never flown and data with missing values, a final sample of 201 was analyzed. The hypotheses were tested using SPSS 21.0. Internal reliability was supported by the results of Cronbach's α. Multiple regression was performed. Results - Empirical results showed that customer satisfaction toward the airline's service had a positive influence on the customer intention to remain loyal to the airlines. Moreover, this influence was moderated by gender. More specifically, a male customer's intention to remain loyal was more determined by his satisfaction toward airline service than a female customer's. Conclusions - This research contributes to the aviation service marketing literature by showing how customer satisfaction influences customer intention to remain loyal and how this influence is moderated by gender. More specifically, male customer loyalty is more determined by airline service satisfaction than female customers. These results have manager implications for major Korean airlines in terms of customer satisfaction and gender as ways to enhance customer retention.

• 한국조리학회지
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• 제24권1호
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• pp.50-62
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• 2018

The purpose of this study was to overview the meaning of customer loyalty to segment customers based on their loyalty and to analyze the difference of loyal customers' perception of relational benefits in the restaurant industries. A self-administered questionnaire was distributed to 500 adults with dining experience at restaurants. Participants were given a brief description of loyalty and were made to choose a specific restaurant they felt loyal to and one with no loyalty. Attitudinal and behavioral loyalty were used in cluster analysis resulting 4 cluster groups. Each group was named true, spurious, latent, and low loyalty. After the groups were separated, ANOVA was used to see if the score of perceived relational benefit showed difference. All four relational benefit including social, psychological, economic, and customization benefit showed significant difference(p<.001). True loyal customers perceived relational benefit as the highest while low loyal customers showed the lowest. For latent and spurious loyal customers, it was found that latent loyal customers showed higher perception than spurious customers.

• 한국항해항만학회지
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• 제44권5호
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• pp.391-399
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• 2020

Every port is competing for attracting loyal customers from other ports to achieve more profits stably. This paper proposes a data-mining scheme to facilitate this process. For resolving the problem, the OD (Origination-Destination) data are gathered from the AIS (Automatic Identification System) data. The OD data are clustered according to the arrival dates and ports. The FP-growth algorithm is applied to mine the frequent patterns of ships arriving at ports. Maintaining a loyal customer list for port updates and accuracy is critical in establishing its usefulness. These lists are critical as they can be used to provide suggestions for new products and services to loyal customers. Finally, based on the frequent patterns of the ships and the mode of arrival times, a formula proposed in this paper to derive shipping companies' loyalty to ports was applied. The case of Kaohsiung port was shown as an example of our algorithm, and the OD data of ships in 2017-2018 were processed. Using the results of our algorithm, other rival ports, such as Shanghai or Busan, may attract customers no longer loyal to Kaohsiung ports in the last two years and attract them as new loyal customers.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 추계학술대회
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• pp.45-60
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• 2005

The purpose of this study is to classify customer by e-mailing responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems were adapted for Customer segmentations. ROI analysis were consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customer segmentations were loyal customer, odds customer, dormant customer, secession customer and observation customer by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mailing systems were appropriate methods to grouping the customer with demographic variables. Therefore, effective e-mailing marketing strategy of e-Biz have suitable active DB and Behavior targeting is best approach to enforcing the target e-mailing marketing.

• 지능정보연구
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• 제8권1호
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• pp.39-62
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• 2002

소매유통업에 있어 충성고객을 발견하고 효과적으로 관리하는 일은 마케팅 부서의 주요 관심사라고 할 수 있다. 최근 성숙된 유통 채널로 자리잡고 있는 인터넷 소매유통업도 다양한 마케팅 노력을 기울이고 있으며 그 성과가 기존 소매유통업 보다 클 것으로 기대하고 있는데 이는 인터넷 소매유통업이 기본적으로 디지털 기반 구조 하에 사업이 수행되기 때문이다. 그러나, 매출 규모가 확장됨에 따라 고객 관계가 보다 복잡해지고 거래 건수도 크게 확장되고 있는 인터넷 소매유통업은 전자적으로 이용 가능한 고객 관리 서비스를 필요로 하고 있다. 본 논문은 인터넷 소매유통업의 충성고객관리를 위한 웹서비스의 프레임웍 및 적용 사례를 제시하고 있다. 고객관리 웹서비스의 기본 모델은 전통적인 RFM분석에 기반을 두고 있는데 복잡한 충성고객관리 업무를 처리하는 에이전트를 제공한다. 인터넷 쇼핑몰이나 상점의 운영 시스템과 용이하게 통합될 수 있는 웹 서비스는 적은 비용으로 효과적인 고객 관리를 실현하는데 기여할 것으로 기대된다.

• 기술혁신학회지
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• 제7권3호
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• pp.681-709
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• 2004

The purpose of this study is to classify customers by e-mail responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems are adapted for Customer segmentations. ROI analysis are consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customers can be grouped into loyal customers, odds customers, dormant customers, secession customers, and observation customers by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mail systems were appropriate methods to group the customer with demographic variables. Therefore, effective e-mail marketing strategy of e-Biz should have suitable active DB and Behavior targeting is best approach to enforce the target e-mail marketing.

• 마케팅과학연구
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• 제14권
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• pp.125-144
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• 2004

본 연구는 중소규모의 인터넷 전자상거래쇼핑몰의 소비자정보 최적화를 위한 마케팅모듈의 적용에 관한 연구이다. 본 연구에서 적용한 마케팅모듈은 e-CRM 의 RFM 모듈과 이메일에 대한 장기적인 고객반응도를 분석한 이메일 반응모듈이며, 이 두 가지 분석방법으로 분류된 소비자그룹에 대한 이메일발송을 통한 ROI 분석을 통해 마케팅모듈에 대한 타당성을 검증하고자 하였다. 연구결과 두 가지 모듈에 의해 분류된 각 그룹에 대한 ROI 분석결과 매출에 대한 기여도인 전환율, 개인화요소 및 이메일반응점수인 충성도지수 모두 우수고객이 타 고객에 비해 높은 것으로 나타났으며, 이메일 기초반응도인 오픈율, 인지율, 클릭율에서도 접수가 높은 것으로 나타났다. 따라서 자본, 인원의 제약이 따르는 중소 인터넷기업은 저비용, 고효율의 타겟 마케팅 전략으로서 유효DB를 확보해야 하며, 기업의 DB구조 및 특성에 따라 RFM 및 이메일반응 모듈과 같은 타당한 마케팅모듈을 채택하여 고객서비스 및 기업수익을 강화할 수 있을 것이다.

• 지식경영연구
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• 제9권2호
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• pp.129-146
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• 2008

Customers' evaluation of Website with satisfaction is critical in electroniccommerce. Previous research has studied in a distinct approach; especially IT oriented constructs-perceived usefulness, easy of use and marketing oriented constructs-product, shopping experience, service quality. Despite those important previous studies regarding the usage and the purchase of goods and services, how consumers are satisfied and why consumers leave Web sites without purchasing have not been extensively researched. This study explored those determinants of consumer satisfaction with Web site using expectation-disconfirmation theory (EDT). The present paper extends the range of EDT from antecedents of expectation to consequence of satisfaction. The result suggests that experience and familiarity has an impact on expectation as well as perceived performance and satisfaction. Second, higher expectation makes a negative impact on disconfirmation of expectation. Third, positive disconfirmation of expectation makes a positive impact on satisfaction. Forth. satisfaction produces loyalty and repurchasing intention. Finally, loyal customer has stronger intention to repurchase than satisfied customer.

• 한국의류학회지
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• 제35권4호
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• pp.408-420
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• 2011

This study identifies the fashion luxury customer segments grouped by expenditures and the number of purchasing brands to verify the effects of perceived luxury consumption values on the intention to maintain a brand relationship for each group. A survey questionnaire was developed and implemented to collect data to measure fashion luxury expenditures, number of purchasing brands, luxury customer values, intention to maintain brand relationships, and demographic variables. A total of 326 responses were analyzed by factor analysis, multiple regression, one-way ANOVA, and $X^2$ analysis with SPSS18.0. Respondents were grouped by luxury expenditures; in addition, the number of purchasing brands were grouped into four segments of Switching/Heavy (31.6%), Switching/Light (19.9%), Loyal/Heavy (31.3%), and Loyal/Light (7.2%) Customer Group, that was different in terms of age and marital status. When the luxury customer value for the most patronized luxury brand was factor analyzed, five distinctive sub dimensions were identified, such as Social Value, Aesthetic/Expressive Value, Experiential Value, Quality Value, and Economic Value. For the Loyal/Heavy Group, the Experiential Value had a significant effect on the customer intention to maintain a brand relationship. For the Loyal/Light group, the Aesthetic /Expressive and Economic Value had a significant effect, and for the Switching/Heavy and Switching/Light Group, Quality and Economic Value had a significant effect on the customer intention to maintain a brand relationship. In conclusion, each luxury customer value in the behavioral segments works differently in influencing the intention to maintain a brand relationship. In addition, the implications for retail strategy were discussed based on the findings.