• 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.

• 한국경영과학회지
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• 제34권4호
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• pp.57-72
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• 2009

As development of information technologies, customer retention has been an important issue in the competing environment. A lot of researches focus on prediction of the churning customers and seeking their characteristics. However, relationships among customers or products have not been considered in existing researches. In this study, product networks are proposed and analyzed to investigate the differences of network characteristics of products purchased by potential churning customers and those of loyal customers. The product networks are constructed from real product purchase data collected from a Korean department store. We investigated the characteristic differences, such as the degree centrality, degree centralization, and density, of two product networks constructed by potential churning customers and the loyal customers. The results indicate that degree centrality, density and degree centralization of the product network of the loyal customers are higher than those of the potential churning customers. And the promotional products of the department store are resulted to be effective in attracting the loyal customers.

• 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.

• 한국의류학회지
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• 제32권10호
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• pp.1497-1508
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• 2008

The objective of this study is to identify the types of relationship quality of department store fashion consumers. This study also aims to look at if consumers form different type of relationship quality with various relation partners. In this study, qualitative research was conducted on 25 female consumers to come to a comprehensive and in-depth understanding of fashion consumers' diverse loyal relationships. Fashion consumer's relationship quality consisted of 'self attachment', 'symbolic', 'trust', 'intimacy', 'compensational bind', and 'habitual alternative'. 6 relationship quality dimensions were distinguished according to each dimension's emotional involvement level and conscious activeness level of consumers. While self attachment was classified as emotional and active relationship quality, compensational bind and habitual alternative were typical relationship quality types of fashion store loyalty such as department store loyalty, thus classified as inertial and cognitive relationship quality type. This study might provide a useful direction to apparel brands and retailers in finding out which relationship quality type is more effective for differentiated marketing strategies.

• 패션비즈니스
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• 제8권3호
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• pp.34-48
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• 2004

This study aims to determine any possible causation between identifying which major factors affect CRM(Customer Relationship Management) in terms of promotion strategies for fashion goods and classifying customers into several categories, so that it can seek reasonable strategic measures based on CRM. This study suggested a model by selecting several variables meeting its goals, and used total 672 sheets of questionnaire for final analysis. In addition, a structural equation model was analyzed As a result, it was found that pricing flexibility had more or less influential relationships with trust, satisfaction and commitment in CRM, although having a negative relationship with commitment. Salesperson's role was also significantly correlated with trust, satisfaction and commitment in CRM, and especially, there were more influential relationships with satisfaction than any other factor. Service quality had relatively high influential relationships with trust, satisfaction and commitment in CRM. Retained customers showed more or less influential relationships with trust, satisfaction and commitment, while loyal customers did so with satisfaction and commitment, except for trust.

• 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.

• 한국조리학회지
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• 제16권3호
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• pp.147-160
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• 2010

본 연구는 고급 한정식 레스토랑 이용 경험이 있는 고객을 대상으로 외식 소비 성향을 파악하여 외식 경험을 통해 느꼈던 감정 반응이 외식 결과 만족도에 미치는 영향을 분석하고자 문헌연구를 통하여 연구모형을 설계하고 가설을 도출하였다. 실증분석을 위하여 자기기입식(self-administered) 방법을 사용하여 총 250부의 설문지를 배포하여 235부(94%)의 설문지를 회수하였으며, 최종적으로 220부(88%)의 설문지가 분석에 사용되었다. 자료처리는 SPSS WIN Version 12.0 통계패키지 프로그램을 사용하여 분석하였으며, 빈도분석, 신뢰도분석과 요인분석을 실시하였으며, 가설 검증은 회귀분석을 통하여 검증하였다. 연구결과 "외식 소비 성향은 감정 반응에 유의한 영향을 미칠 것이다"에서는 건강 추구형과 관계 충성형은 즐거움에 유의한 영향을 미치는 것으로 증명되었으나, 휴식 추구형은 즐거움에 유의하지 않는 것으로 나타났으며, 건강 추구형과 관계 충성형은 자극에 유의한 영향을 미치는 것으로 증명되었으나, 휴식 추구형은 자극에 유의하지 않는 것으로 나타났다. "감정 반응은 만족도에 유의한 영향을 미칠 것이다"에서는 즐거움과 자극은 만족도에 유의한 영향을 미치는 것으로 증명되었다. 본 연구 결과 외식 소비 성향은 과거 생물학적 욕구를 충족시키기 위해서 단순히 식사 자체를 충족시키기 위한 목적과는 달리 현재 외식 소비 성향은 자신의 선호 취향이나 분위기 등 감정 반응의 중요성이 부각되고 있음을 보여주는 결과라고 사료된다.

• 지식경영연구
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• 제14권3호
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• pp.15-35
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• 2013

Nowadays, online shopping has become popular among consumers. As such, gaining loyal online shopping customers has become a rising concern for online shopping vendors. In this study, we investigated the hierarchical relationships among Lewicki and Bunker's three different types of trust, namely, calculus-based trust, knowledge-based trust, and identification-based trust, in the context of online shopping and their impacts on customer satisfaction and loyalty. A total of 104 responses from online shopping users were analyzed to test the proposed model and its hypotheses using Partial Least Squares (PLS). The results showed that, in the online environment, hierarchical relationships between different types of trust exist and that, among them, knowledge-based trust has the strongest impact on customer satisfaction. This finding implied that practitioners should focus on developing appropriate online strategies for building trust-based relationships with online customers.

• 한국의류학회지
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• 제32권8호
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• pp.1299-1308
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• 2008

Customers’ loyalty to an online store may be worth up to ten times as much as its average customer. To develop a loyal customer base, most online stores try their best to continually satisfy their customers and to generate long-run relationships with them. This study investigates the effects of product attributes on customer satisfaction, trust, and loyalty in the context of online shopping for apparels. A self-administered questionnaire with multi-item scale was developed based on literatures. A total of 356 usable questionnaires were obtained from respondents and were analyzed using by LISREL 8.54 Program. The results showed that attributes of apparel products (e.g., products variety, price, and information) have indirectly influenced customer loyalty, which are moderated by customers’ satisfaction and trust. Additionally, customer satisfaction plays an important role to develop customer loyalty of online apparel stores. The findings suggest that, to satisfy their customers, online apparel stores should focus on product variety, and reasonable/economic prices of their apparel products, while they should provide the information about contents/care of apparels in building trusting relationships with their customers. In light of the major findings, this study sets forth strategic implications for customer loyalty in online settings of apparel store.

• 산업경영시스템학회지
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• 제42권2호
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• pp.69-77
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• 2019

As information technology advances, the penetration of smart devices connected to the Internet, such as smart phone and tablet PC, has rapidly expanded, and as sensor prices have fallen the Internet of Things has begun to be introduced in the industry. Today's industry is rapidly changing and evolving, requiring companies to respond to the new paradigm of business. In this situation, companies need to actively manage and maintain customer relationships in order to acquire loyal customers who bring them a high return. The purpose of this study is to suggest a method to manage customer relationship using real time IoT data including IoT product usage data, customer characteristics and transaction data. This study proposes a method of segmenting customers through RFM analysis and transition index analysis. In addition, a real-time monitoring through control charts is used to identify abnormalities in product use and suggest ways of differentiating marketing for each group. In the study, 44 samples were classified as 9 churn customers, 10 potential customers, and 25 active customers. This study suggested ways to induce active customers by providing after-sales benefit for product reuse to a group of churn customers and to promote the advantages or necessity of using the product by setting the goal of increasing the frequency of use to a group of potential customers. Finally, since the active customer group is a loyal customer, this study proposed an one-on-one marketing to improve product satisfaction.