• International Journal of Quality Innovation
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• v.4 no.2
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Journal of Korean Library and Information Science Society
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• v.37 no.3
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• pp.193-208
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• 2006

The customer satisfaction. which is close with the loyalty, rate of disconnection and re-purchase and the new customer creation is important in point of the enterprise performance measurement system. There have been a number of studies that applied different models in other to assess the customer satisfaction of public and non-public area. But the general evaluation models which are existing can't consider the discrimination characteristic of different types of products or services. And these models didn't reflect the quality of the Internet environment of the public library service which appears newly. This study delved into literature of library service and customer satisfaction evaluation and suggest the classification system of public library service and the evaluation model of customer satisfaction for public library.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.235-245
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• 2019

This research focuses on the relationships among customer satisfaction, delight, and loyalty. Although customer delight is one facet of an affective evaluation that can be predicted from customer satisfaction as cognitive component of the evaluation, there is no empirical examination on the casual relationship among customer satisfaction, delight, and loyalty. This study aims at addressing this gap in the service literature. The research questions are (1) How is customer satisfaction related to customer delight? and (2) Does customer delight matter in the relationship between customer satisfaction and loyalty? Data from a survey of consumers across upscale restaurant and retail bank in Korea were obtained. Our results show that customer satisfaction contributes positively to customer delight, and that customer delight plays a significant role in the relationship between customer satisfaction and loyalty. This chained relationship from customer satisfaction to customer delight to customer loyalty suggests that achieving customer delight represents one of the underlying pathways through which basic or core requirements expected by customers are satisfied. Our finding suggests that service firms need to monitor and manage their levels of customer delight as a performance metric, and delighting customers may be an important strategy to build competitive advantage through customer loyalty.

• Journal of Information Management
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• v.40 no.1
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• pp.183-197
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• 2009

With development of the internet, internet shopping is taking its place as one of digitalization industries transcending time and space beyond the scope of commercial activities as the means of goods sales and purchase. We studied about the relations of customer value, environment of internet shopping mall, customer satisfaction and loyalty. Customer value is customers' subjective evaluation, which is formed after their purchasing and consuming. Customer satisfaction can be characterized as post-purchase evaluation of product quality given pre-purchase expectations. Customer loyalty is a potentiality or ensure of durative relationship between customer and enterprises. Customer satisfaction functions as an antecedent of customer loyalty, while customer value does customer satisfaction. It prevents customer churn and consolidates retention, thereby constituting an important cause of customer loyalty. This study shows that customer value, environment of internet shopping mall and customer satisfaction are each found to have a direct effect on customer loyalty. The results provide empirical support for relation between customer satisfaction and loyalty. To increase customer satisfaction and customer loyalty in internet shopping mall is the primary purpose of this study. We believe that only high quality based customer programs accompanied by well designed loyalty programs can be effective in increasing customer retention.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.113-124
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• 2004

Customer satisfaction is becoming an increasingly salient topic in many firms and in academic research. One main rationale behind this interest is that customer satisfaction is believed to be associated with fruitful customer re-visit from the firm's point of view. Some country already had index models which can measure the degree of customer satisfaction. But, such models are ordinary models which used generally the scope of nation-wide /industry. Therefore, we needs some modifications to measure customer satisfaction for specific product & service and to provide the valuable feedback to specific firms. In this Perspectives, this study will evaluate the customer satisfaction index about automobile company and analyze it's result for valuable feedback. This study will present a model for an integrated customer satisfaction evaluation system which used structural equation modeling. Through this study, we anticipate that it will offer the measuring method about customer satisfaction and some guideline for product design process.

• Journal of Nutrition and Health
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• v.32 no.8
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• pp.967-973
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• 1999

The purpose of this study was to analyze sensory evaluation, to assess visual serving size and plate waste estimates of daily menu, and the identify customer expectation, perception and satisfaction. Questionnaires of sensory evaluation, serving size and were waste were developed and hand-delivered to 2,520 people. A total of 2,255 questionnaires were usable: a 89.5% response rate. Customer satisfaction questionnaires were handed out to 700 customers: (100 each at seven operations). A total of 551 were returned completed (78.7%). The data was analyzed using the SAS package program for Descriptive Analysis, t-test and ANOVA. The result of sensory evaluation showed that 'taste' was 3.20, 'freshness' 3.17, 'temperature' 3.25, 'texture' 3.15, 'appearance' 3.12, 'overall evaluation' 3.21, so these were little higher than 「normal」, that is 3.0. There was positive correlation among 'taste', 'freshness', 'temperature', 'texture', 'appearance' and 'overall evaluation'(p<.001). Serving size score was 2.97 and plate waste was 4.87, thus plate waste percentage was about 22-33%. As the result of customer expectation, perception and satisfaction of menu quality, characteristics. Customer satisfaction was defined as the difference expectation and perception and customer perceptions in theis survey were lower than expectation, thus this result implied customers dissatisfied in all menu quality characteristics. IPA analysis showed that 'diversity of menu selection' and 'menu price' was included in A area 'Focus here'.

• 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.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.33-47
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• 2006

This study was designed to examine the casual relationships among trust evaluation factors, trust, customer satisfaction, and re-use intention in the P2P file sharing service. We applied structural equation model to test the hypotheses and research model. As a result of this study, trust evaluation factors affect trust and customer satisfaction and both of trust and customer satisfaction affect re-use intention respectively and significantly. Also trust affects customer satisfaction significantly. Specifically, trust was empirically confirmed as one of the important factors preceding customer satisfaction and re-use intetion in the P2P file sharing service. Therefore, this study shows that trust is important factor that P2P companies have to emphasize to raise user satisfaction and performance.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.189-196
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• 2017

This study investigates customer satisfaction with full service carriers (FSC) and low cost carriers (LCC) using social media sentiment evaluation. From 2008 to 2016, a total of 77,591 tweets about two FSC and six LCC were aggregated and classified as per airline choice factors. Sentiment evaluation was employed to assess customer satisfaction by three appraisers. The results showed that customer satisfaction with LCC was significantly higher (p<0.001) compared to FSC. Furthermore, overall customer satisfaction with both FSC and LCC has been facing a consistent downward trend since the last seven years. The results also highlighted low customer satisfaction with respect to booking and flight operation factors, and a steep decline in customer satisfaction across booking, onboard services, and marketing factors for FSC. The results of this study have practical implications for the airline industry, which can use this quantitative data to improve customer satisfaction with FSC and LCC.

• Proceedings of the KSR Conference
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• 2003.10b
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• pp.8-13
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• 2003

For continuous improvement of the railway customer satisfaction service, more objective evaluation and development system for software and hardware shall be built. The entire activity of railway customer is the interface between the customer and software/hardware services. Customer's activity was investigated by participating observation and objective observation, and considering the connection of all the activities, it was divided into 9 categories and 43 items. Although the detailed activity of customer would vary per item, they show more than 430 different activities under general condition. Also, the customer's activity varies according to the numerous variants such as physical, mental, environmental and cultural features. Especially, as lots of changes, diversification and high-quality of railway industry are expected according to the middle and long term plan on railway industry development, it is necessary for experts in various fields to perform cooperative research aggressively to improve the customer satisfaction service continuously based on continuous customer activity research.