• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3415-3420
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• 2011

It is natural phenomenon that, as the level of customer satisfaction index increases, the ratio of satisfied customers increases. However, the effectiveness of practical application of customer satisfaction survey for improving customer satisfaction decreases due to structural limitation on data analysis and the abnormally outnumbered data. To cope with these problems, it is necessary to develop the new methodology to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study proposes the satisfied customer reclassification method based on 2 dimension model of customer satisfaction/dissatisfactions which is different from the previous one dimension satisfaction model. The experimental results show that satisfaction attributes are different from dissatisfaction attributes and they also have dissimilar roles and functions. With these results it is possible to maximize the customer satisfaction and restrain the customer dissatisfaction through the satisfied customer reclassification and achieve customer satisfaction management eventually.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.139-144
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• 2013

This paper is an exploratory study to improve customer satisfaction survey for resolving practical problems. It is natural phenomenon that, as the level of customer satisfaction index increases, the ratio of satisfied customers increases too. However, the effectiveness of practical application of customer satisfaction survey for improvement of customer satisfaction decreases due to its structural limitation on its data analysis system. In order to cope with these problems, we compares the three satisfied customer reclassification methods such as attribute complex scores, satisfaction/dissatisfaction dimension and latent class analysis models. The case study results show that satisfied customer reclassification methods have merits and demerits and are expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.237-243
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• 2012

The more the satisfied customers increases in customer satisfaction survey, the more the company has difficultly in improving the customer satisfaction. In addition, the effectiveness of practical application of customer satisfaction survey decreases due to its constitution limitation on its data analysis. To overcome these problems, it is necessary to develop a new method to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study focuses on the satisfied customer segmentation using Latent Class Analysis. The case study shows that the satisfied customers are divided into three subgroups using Latent Class Analysis and we draw meaning results such as satisfaction and dissatisfaction factors through analyzing each group. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.345-353
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• 2011

This paper is an investigative research to improve customer satisfaction survey for resolving practical problems. It is natural phenomenon that, as the level of customer satisfaction index increases, the ratio of satisfied customers increases too. However, the effectiveness of practical application of customer satisfaction survey for improvement of customer satisfaction decreases due to its structural limitation on its data analysis system. In order to cope with these problems, it is necessary to develop the new method to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study proposes the satisfied customer reclassification method based on attribute complex scores. The excremental results show that the it was expected to present more improved results than the number-producing oriented one dimensional model. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.386-394
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• 2011

Recently it is difficult to draw an improvement for customer satisfaction because the ratio of satisfied customers increases in customer satisfaction survey. In addition, the effectiveness of practical application of customer satisfaction survey decreases due to its constitution limitation on its data analysis. In order to solve these problems, it is necessary to develop a novel research to identify the strategy meanings and find dissatisfied factors of satisfied customers using the satisfied customers' reclassification. This study focuses on the satisfied customer segmentation based on Latent Class Analysis (LCA). The case study with high-speed internet service customers show that the satisfied customers are divided into three subgroups using LCA and we draw meaning results such as satisfaction and dissatisfaction factors through analyzing each group. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.