• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.338-345
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• 2023

Nowadays, many companies are striving to turn customer value into business value. Customer Relationship Management is a management system that develops effective and efficient marketing strategies by classifying customers in detail based on their information, i.e. databases, and consists of various information technologies. To implement this management system, a customer integration database must be established, and customer characteristics (buying behavior, preferences, etc.) must be analyzed with the databases established and the behavior of each customer must be predicted. This study aims to systematically manage a large amount of customer data generated by companies that apply Customer Relationship Management, in order to develop data design and data governance strategies that should be considered to increase customer value and even company value. We mainly looked at the characteristics of customer relationship management and data governance, and then explored the link between the field of customer relationship management and data governance. In addition, we have developed a data strategy that companies need to perform data governance for customer relationship management.

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.448-454
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• 2006

As the power industry moves towards open competition, a need has arisen for appropriate methodology to evaluate power system reliability by using customer Interruption costs. This paper presents an assessment of the interruption costs by industrial customer type in Korea using customer survey methodology. When various research results are examined, the customer damage survey methodology becomes much more generalized. Especially, in the case of industrial customers, it is known that evaluation by the customer damage survey is more useful. Accordingly, this paper selected the customer damage survey method to evaluate the interruption costs by industrial customer type in Korea considering interruption and customer characteristics.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.822-828
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• 2005

Customer satisfaction becomes one of the important managerial concerns associated with corporate competency in current competitive environment for Internet communication service companies. Hence, it is demanding to improve a company's customer satisfaction through the total quality management perspective. In practice, engineers as well as the management hope to find major quality characteristics with Internet communication network that is closely related to customer satisfaction, consequently aiming to the raise of their company's customer satisfaction. This paper presents an empirical relationship analysis between network quality characteristics and customer satisfaction on Internet communication. Methodologically, the relationship analysis framework is based on the regression variable selection procedures. In this framework, it is implemented that; 1) iterative model building; and 2) consistent criteria application to statistical tests for selecting significant variables. A case study shows that; 1) the customer satisfaction on the network connection seems to be more closely related to the network quality characteristics compared with the customer satisfaction on the network speed; and 2) the download disconnection rate has relatively evident relationship with the customer satisfaction on the network connection.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.258-266
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• 2023

Aiming at the problems of poor customer satisfaction and poor accuracy of customer classification, this paper proposes a customer classification model based on speech recognition. First, this paper analyzes the temporal data characteristics of customer demand data, identifies the influencing factors of customer demand behavior, and determines the process of feature extraction of customer voice signals. Then, the emotional association rules of customer demands are designed, and the classification model of customer demands is constructed through cluster analysis. Next, the Euclidean distance method is used to preprocess customer behavior data. The fuzzy clustering characteristics of customer demands are obtained by the fuzzy clustering method. Finally, on the basis of naive Bayesian algorithm, a customer demand classification model based on speech recognition is completed. Experimental results show that the proposed method improves the accuracy of the customer demand classification to more than 80%, and improves customer satisfaction to more than 90%. It solves the problems of poor customer satisfaction and low customer classification accuracy of the existing classification methods, which have practical application value.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.3
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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.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.142-144
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• 2003

Recently, the bidding between generating company and transmission company have been accomplished according to restructure of power system industry. And the bidding will develop to TWBP (Two-Way Bidding Pool)type. In this way, it will be important issue on optimum reliability maintenance of the power supply. Thus, in this paper illustrate to customer survey result for the interruption cost analysis. Actually the domestic customer survey is performed on 300 samples. Then the points at customer survey and direction are presented in this paper. Customer is divided into 5 types, total response of customer survey was 22 percent. Furthermore domestic customer survey result characteristics will be use for the basis data of the large scale customer survey.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.27-54
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• 2006

As maintaining customer long term relationship is critical factor for improving to firm value as well as customer lifetime value, the academicians and practitioners have paid attention to customer defection. It is said that service failures are key factors to customer defection or customer switching(Keaveney 1995 etc.). This study examines that the effect on customer defection of service failures is differential according to the various customer-firms relationship characteristics. We consider relationship duration, usage level, decision making influence, industry knowledge and switching cost as customer-firm relationship characteristics based on marketing literature. Predictions are developed and tested using Internet service provider(ISP) user survey data(n=212). Results show that the customer-firms relationship characteristics/above variables) play a moderating roles in the service failures and customer defection links.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.99-108
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• 2022

Today, as technology advances and market competition for products intensifies, the product design to improve customer satisfaction by accurately identifying customer needs is emerging as a very important issue for company. Accordingly, the customer-oriented or customer-centered design that maximizes customer satisfaction by grasping and analyzing customer requirements is in the spotlight as an important design theory. In this study, the customer-oriented design is defined as finding the optimal value of design variable with the maximum overall customer satisfaction while minimizing the difference in individual customer satisfaction responded to various customers from multiple product quality characteristics from the perspective of robust design. Therefore, this study presents a new method for modeling the customer preference structure as the different sets of desirability functions for multiple quality characteristics and proposes a new customer-oriented design approach by applying the desirability functions to Taguchi's robust design process to deal with multi-characteristic design problem. Finally, the proposed method is illustrated with the Kansei engineering design problem of wine glass.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.3
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• pp.31-46
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• 2007

For continuous growth and diffusion of internet banking, it is important to investigate the factors that affect customer satisfaction. This study empirically examined the structural relationships among characteristics of internet banking, service quality, customer satisfaction and customer loyalty. Characteristics of internet banking include relative advantage, compatibility, complexity, and perceived risk which are user-dependent in nature. Service quality was classified as 5 dimensions of SERVQUAL. Using a sample of 162 internet banking users, we empirically examined the study model. The results of this study showed that characteristics of internet banking and service quality had a significant effect on customer satisfaction and satisfaction in turn, had a significant positive effect on customer loyalty. We also found that characteristics of internet banking and service quality had a significant effect on customer loyalty.

• Journal of Distribution Research
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• v.15 no.4
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• pp.21-60
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• 2010

In recent retail environments, multichannel customer management increasingly has been considered a key element of successful CRM. Although customer's multichannel usage is believed to be potential cause of customer loyalty, the theoretical explanation about this causal relationship still remains unexamined and unanswered. In this paper, the authors present a systematic framework to test the postulated "multichannel usage-shopping experience-customer satisfaction" chain. To this end, we examine that the two core components of shopping experience(convenience and enjoyment) is a mediator of the direct causality of multichannel usage(based on both information search and product purchase stage) on customer satisfaction. Moreover, the authors examine that two types of customer-firm relationship characteristics(relationship age and purchase frequency) is a moderator of the multichannel usage-shopping experience relationship. Using integrating data with survey and customer database of multichannel retail company, the authors empirically test and substantiate shopping experience's mediating role in the multichannel usage-customer satisfaction relationship and customer-firm relationship characteristics' moderating role in the multichannel usage-customer experience relationship. These results suggest that multichannel retailers should deliver favorable shopping experience for building customer satisfaction and differentiate shopping experience according to customer-firm relationship characteristics.