• Proceedings of the Safety Management and Science Conference
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• 2007.04a
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• pp.151-160
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• 2007

This paper reviewed the relationship between service quality and customer satisfaction, and the moderating effect of gender. Based on the responses from 807 customers who encountered employees in telecommunication industry, the results of multiple regressional analysis showed that all service quality factors have positive relationships with customer satisfaction. The results of moderating analysis showed that only empathy and tangibility have positive interactive-effects on customer satisfaction with gender. With increasing of empathy and tangibility, female customers have been more satisfied than male customers.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.763-774
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• 2006

The purpose of this study is to identify relationship among service quality, service value and customer satisfaction of food service industries. The respondents included 120 customers of K-restaurant in the survey. Data were analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : Service Value was influenced directly and positively by the service quality. And customer satisfaction was influenced directly and positively by the service value. But customer satisfaction was not influenced directly and positively by the service quality.

• Journal of Distribution Research
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• v.3 no.1
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• pp.31-54
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• 1998

The purpose of this research is three-fold; 1, establish the causal model of market-orientation, customer satisfaction, employee satisfaction and firm's perfor-mance. 2. testify the hypothesis derived by the model on a service industry of fastfood franchise. 3. develop the diagnostic tool for managing the service firm from the perspective of CS. The results show us; 1. customer satisfaction increases the performance of franchise store. 2. employee satisfaction does not necessarily increases customer satisfaction in a short-run, however the long-run impact of employee satisfaction on customer satisfaction is conjectured to be increased. 3. Satisfaction Portfolio Analysis can be utilized as management tool to improve the customer satisfaction and employee satisfaction for service industry.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.26-32
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• 2020

There are many airline customer evaluation data, but they are insufficient in terms of predicting customer satisfaction in practice. In particular, they are generally insufficient in case of verification of data value and development of a customer satisfaction prediction model based on customer evaluation data. In this paper, airline customer satisfaction analysis is conducted through an experiment of correlation analysis between customer evaluation data provided by Google's Kaggle. The difference in accuracy varied according to the three types, which are the overall variables, the top 4 and top 8 variables with the highest correlation. To build an airline customer satisfaction prediction model, they are applied to three classification algorithms of Random Forest, SVM, DNN and conduct a classification experiment. They are divided into training data and verification data by 7:3. As a result, the DNN model showed the lowest accuracy at 86.4%, while the SVM model at 89% and the Random Forest model at 95.7% showed the highest accuracy and performance.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.74-85
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• 2017

This study conducted to analyze the causal relationships among image factors (brand, store, enterprise) of family restaurants, customer satisfaction, customer trust, and revisit intention as perceived by 271 customers, who have visited a family restaurant located in Ulsan and Busan regions. Present study performed frequency analysis, factor analysis, customer trust analysis, correlation analysis, and multiple (simple) regression analysis using SPSS 18.0 statistical program. The analysis results indicated that the image of family restaurants had significant positive (+) influences on customer satisfaction, customer trust, and revisit intention, among which the biggest influential factor was found to be the store factor. Significant influence was shown for brand image followed by corporate image. In addition, customer satisfaction and customer trust had significant positive (+) influences on revisit intention. As a result of this study, store image among family restaurant images appeared as the most important element; hereupon, this study considers that it is necessary for a family restaurant to build a differentiated image to increase revisit intention by satisfying customer needs and by encouraging customers to have trust in the restaurant.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.1043-1054
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• 2002

The purposes of this study were to empirically examine the effect of relational benefits and relationship quality in the core variables of relationship marketing on customer satisfaction, to investigate the causal relationships among these variables. The questionnaires was administered to 417 women shopped in a fashion retail store in Gwang-ju city during January 14-18, 2002. For analysis of data, frequency, factor analysis, regression analysis, and path analysis were applied. The results were as follows: 1. The customers' perceived relational benefits were categorized as follow: 1) special treatment,2) social, and 3) psychological benefits. Relationship quality was categorized into two factors: trust and commitment 2. The relational benefits significantly influenced customer satisfaction. 3. The relational benefits significantly influenced relationship quality. 4. The relationship quality significantly influenced customer satisfaction. 5. The relational benefits had both direct and indirect effects on customer satisfaction mediated by relationship quality. The results indicated that causal relationship was existed among these three variables.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.61-77
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• 2022

Purpose - The purpose of this study was to explore the relationship between C2C logistics service quality(convenience, responsiveness, reliability, information and empathy) customer satisfaction and customer loyalty. Design/methodology/approach - This study collected 252 survey data from consumers who use C2C platform in China. Then using SPSS 24.0 in order to analyze the data. This study used SPSS 24.0 to perform empirical analysis with 252 people who use C2C platform in China. Findings - First, it was confirmed that the quality of logistics service(convenience, responsiveness, reliability, information and empathy) had a positive effect on customer satisfaction. Second, logistics service quality(convenience, responsiveness, reliability, information and empathy) positively affects the customer loyalty. Third, there is also a strong relationship between customer satisfaction and customer loyalty. Research implications or Originality - It is well known that logistics is an important part of e-commerce. Research on the influence of B2B logistics service quality on customer satisfaction and customer loyalty is more currently, but research on C2C is relatively less. Our study contributes the related research area by doing empirical analysis of the relationship between the logistics service quality and customer satisfaction and customer loyalty to provide development suggestions for C2C sellers.

• Physical Therapy Rehabilitation Science
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• v.12 no.3
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• pp.346-354
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• 2023

Objective: The objective of this study is to provide medical institutions with theoretical basis by analyzing the effect of service quality-related factors. It will be helpful for hospitals to enhance service quality which will be of use to attain customer satisfaction and ultimately competitive advantage. Design: An empirical study. Methods: To verify the model, I conducted a questionnaire survey analysis. Items for measurement have been extracted from several related studies on medical industry. The survey target has been set by convenience sampling method and consists of citizens reside in Seoul and Gyeonggi-do Province, and total number of 161 samples have been analyzed. To verify validity and reliability, I conducted factor analysis and reliability analysis, and for hypotheses verification, multiple regression analyses have been performed. Results: This study aims to investigate the relation between service quality factors and customer satisfaction, and also those factors and customer loyalty. Service quality factors consist of Tangibles(X1), Reliability(X2), Assurance(X3), Responsiveness(X4), and Empathy(X5). According to the results of regression analyses, X1, X2, X3, and X5 have been proved to have positive relations with customer satisfaction and loyalty, whereas hypothesis related X4 has not been supported. Finally, customer satisfaction has been founded to affects positively to customer loyalty. Conclusions: Service quality factors are significantly related to customer satisfaction and loyalty. So medical institutions should aware of this and try to enhance service quality for attaining competitive advantage.

• 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.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.698-711
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• 2019

The purpose of this study was to investigate the effect of social servicescape on customer satisfaction, customer trust, and customer loyalty. Data were collected from 311 adults who lived in Daegu where they had used Japanese restaurants. For data analysis, frequency analysis, factor analysis, regression analysis and multiple regression analysis were used. Through the factor analysis, the social servicescape of Japanese restaurant was identified as two components of human service and customer similarity. As a result of the multiple regression analysis, two components of social servicescape have positive effects on customer satisfaction and customer trust, and have a partial positive effect on customer loyalty. The results of regression analysis showed that customer satisfaction had a positive effect on customer trust and customer loyalty. In addition, customer trust has a positive effect on customer loyalty. The results of this study confirmed the influence of social servicescape on Japanese specialty restaurants and suggested practical and theoretical implications.