• 유통과학연구
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• 제11권12호
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• pp.51-62
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• 2013

Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

• 유통과학연구
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• 제12권2호
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• pp.81-93
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• 2014

Purpose - Recent rapid environmental changes in the hospital industry are accelerating the spread of customer satisfaction management. Customers' desires have become diversified and advanced; in the past, customers tended to preferred popularized and standardized care, whereas they now prefer individualized and differentiated care, based on an increase in income. Specifically, this study tries to analyze the mediating effects of factors that affect the configuration portion of customer value and relationship quality (customer trust and relationship commitment) by investigating the impacts and configuration factor of customer value on relationship quality and determining how these factors impact customer loyalty directly or indirectly. Research design, data, and methodology - This study aims to determine the customer value factors that impact the perceptions of dental hospital customers, how these factors impact relationship quality and customer loyalty, and the causal relationship of these factors, and to verify the research model based on previous research. To increase the validity and reliability of the questionnaire, the authors of this study constructed basic questions using measurement tools already verified for reliability and validity in existing studies. In this study, customer value is defined as customers' recognizing value by exchanging goods or services and is measured using a five-point Likert scale using 19 questions about the 4-Ds, such as convenience value, quick service, response value, and trustworthiness. For each question, "very low" was set at 1 point and "very high" at 5 points. Customer trust, relationship commitment, and customer loyalty are also measured using a five-point Likert 5-point scale (1 = very low, 5 = very high) based on previous studies. Results - For customer value, trustworthiness and quick service are shown to have direct significant positive impacts on customer loyalty. For customer value and quality of the relationship (customer confidence and commitment), trustworthiness, response value, confidence value, and quick service are shown to have a significant positive impact on customer truth, in order of impact. For the relationship between customer value and commitment, quick service and response value are shown to have significant positive impact. Customer confidence has a very high positive influence on commitment. For the relationship between the quality of the relationship (customer confidence and commitment) and customer loyalty, customer confidence is shown to have more of an impact than commitment, in terms of a direct influence of customer loyalty. Commitment showed a positive impact on customer loyalty. For the relationship between customer confidence and customer loyalty, commitment showed a mediating effect. Conclusions - Many additional variables could apply; this study focused on customer value, quality of the relationship, and customer loyalty. In particular, there will be significant value in identifying the relationships among customer value, relationship quality, and customer loyalty by using impact factors for customer value; ensuring external validity by expanding denotation and applying the findings to other service industries; and undertaking continuous research. This study has limited generalization potential because the target for this survey was located only in the Seoul area.

• 경영과학
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• 제20권2호
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• pp.135-149
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• 2003

Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

• 유통과학연구
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• 제12권8호
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• pp.31-42
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• 2014

Purpose - Recently, a variety of activities for practicing the continuing management of domestic and foreign companies have been conducted and further, corporate social responsibility for maximizing the value of stakeholders such as customers, cooperative companies, and the local community emerges as a key business strategy. Accordingly, the issue of whether corporate image and customer value through corporate social responsibility activities positively affect customer loyalty and customer attitude is investigated in this study. Research design, data, and methodology - Corporate social responsibility activities are classified into legal and moral activities, environmental protection activities, economic activities, and community service activities; further, customer values are classified into emotional value, functional value, and social value, to determine the parameters. In addition, the strategic approach direction of social responsibility activities is justified as a strategy for effectively achieving the expected results that corporations seek by proving the effect of these parameters on customer loyalty. Results - The study results can be summarized as follows. First, legal and moral activities, environmental protection activities, economic activities, and community service activities are four types of CSR activities affecting meaningful improvements in corporate image. Second, legal and moral activities affect factors that meaningfully improve customer value, including factors such as emotional value, functional value, and social value, while environmental protection activities affect improvements in the factor of social value only. Third, corporate image affects meaningful improvements in customer value. Fourth, corporate image affects improvements in customer loyalty positively. Fifth, the three factors of customer value, that is, emotional value, functional value, and social value affect meaningful improvements in customer loyalty. Sixth, customer value acts to partly mediate the effect of companies' CSR activities on customer loyalty. As shown in the study results above, it was verified that CSR activities affect meaningful improvements in corporate image and customer value and, in turn, corporate image and customer value affect meaningful improvements in customer loyalty. In addition, it was verified that customer value acts to partly mediate the effects of companies' CSR activities on customer value. Conclusions - Accordingly, the results of this study suggests as follows. First, it was clearly verified that customers' recognition of CSR efforts has a positive effect on corporate image, customer value, and loyalty because CSR activities improve the relationships between customers and corporations by providing customers with value. Second, it was suggested that corporations implement social contribution activities strategically according to the theory that the higher the rate of CSR activities, the better the corporate image and repurchase intention would be, which is a theory verified through practical analysis. Corporations should do this by constructing positive relationships from the value perceived by customers. To summarize the study results in a brief manner, it is suggested by the results of the study that a corporation should conduct CSR more actively to make customers recognize the positive image of their products and services.

• Management Science and Financial Engineering
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• 제16권2호
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• pp.17-27
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• 2010

The customer churn and the forecast of customer churn have been important research topics for a long time in the academic domain of customer relationship management. The customer value is studied to construct a gap model based on dual customer values; a basic description of customer value is given, then the gaps between products and services in different periods for the customers and companies are analyzed. The main factors that influence the perceived customer value are analyzed to define the "recognized value gap" and a gap model for the dual customer value is constructed. Based on the dual customer gap a con-ceptual model to determine potential churn customers is proposed in the paper.

• Asia pacific journal of information systems
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• 제14권4호
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• pp.1-22
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• 2004

Customer value is the source for competitive advantage of online businesses such as Internet shopping malls and portal service. It is important to analyze the relationship between customer value and repurchase in order to provide a guideline of successful online business. The purpose of this paper is to get answers for the following questions. First, what are key components of customer value in online business? Second, What difference exists in the importance or expectance of customer value and its current service level of online business? Finally, what influence relationships exist in customer value and repurchase intentions? Data were collected from 615 respondents who experienced purchase on the Internet shopping malls. This paper developed and empirically tested a model representing the relationships between customer value factors and repurchase intentions as well as difference between the importance of customer value and its service level. The findings here suggested that the service level of customer value was significantly lower than its importance, and customer value factors positively affected the repurchase intentions. Specifically, economy and trust/responsiveness value factors directly affected the repurchase intentions while other factors such as convenience, speed, personalization, community, and emotion value indirectly affected it through trust/responsiveness.

• 동아시아경상학회지
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• 제9권3호
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• pp.45-56
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• 2021

Purpose - The research was conducted to understand how the values of customers using airline SNS affects customer satisfaction and trust. By finding out which characteristics of customer values lead to customer satisfaction and gaining trust, research concludes with suggestions for various airlines to utilize such characteristics to maintain customers through SNS. Research design, data, and methodology - The data were collected from May to July 2020 for two months from the people who used SNS operated by domestic airlines. 342 samples were selected and used as final samples for the study. Result - The results of the relationship between customers' values and customer satisfaction amongst those who use airlines' SNS show that practical, pleasure and social components all have a positive effect on customer satisfaction. The relationship between customers' values and customer trust amongst those who use airlines' SNS show that practical and pleasure components have a positive effect on customer trust while social component didn't yield a positive impact on customer trust. Conclusion - Identifying and understanding SNS users' value structure and providing specific guidelines for customer value components can help demonstrate the causal relationship between customer value components, customer satisfaction, and trust. Also, evidence of applicable customer value theory could be provided.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.215-225
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• 2024

This study investigated the effect of the delivery service quality of Mongolian online shopping on the customer value, customer trust, and relationship persistence intention of Mongolian consumers. Through this, the purpose of this study is to understand the priorities of the quality conditions of delivery services (accuracy, economy, information, safety, tangibility, etc.) that Mongolian consumers value. The empirical analysis results of this study are as follows. First, the effect of delivery service quality on the intention to continue the relationship showed partially significant results. In other words, economics, information, and safety, excluding accuracy and tangibility, influenced the intention to continue the relationship. Second, the effect of delivery service quality on customer value was partially significant. In other words, accuracy, economy, safety, and tangibility, excluding informativity, influenced customer value. Third, the effect of delivery service quality on customer reliability was partially significant. In other words, economics, safety, and tangibility, excluding accuracy and informativity, influenced customer reliability. Fourth, the hypothesis of customer value on customer reliability was adopted, followed by the hypothesis of customer value on relationship continuity intention. Finally, the hypothesis of customer reliability on relationship continuity intention was adopted.

• 경영과정보연구
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• 제5권
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• pp.61-79
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• 2000

This research suggests the strategic adoption methodology of Customer Relationship Management. The backgrounds of CRM is the business environment changing that Market power is shifting to the customer who has unprecedented powers of choice today. The strategic adoption of Customer Relationship Management determines the value, needs and preferences of each customer or customer segment. Customer Relationship Strategy is an explicitly defined plan for how a company has decided to connect with, relate to, and focus on its chosen customers to create value. Deliberate decisions must be made, often involving trade-offs, so that investments are aligned with customer needs and value. Plan defined in terms of target customers value proposition, role in value delivery, and risk/reward sharing. All customers are not created equal; specific customers and/or customers segments are more desirable/valuable to pursue. Key premise of CRM is that value can be created by changing company's business model to better connect with customers. Area of service of Customer Relationship Management are as follows. Portfolio strategy, Market Opportunity Assessment, Brand Equity, Market Positioning, Pricing, Channel Strategy, Market Segmentation. Target Market Identification, Customer LifeTime Value Analysis, Customer Profitability, Customer Connections Economics Analysis. The objects of CRM are maximizing customer service effectiveness, improving customer loyalty, increasing customer service efficiency, optimizing intelligence about customer behaviors and preferences.

• 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.