• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.248-260
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• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (;must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was proposed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.291-309
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• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements(must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was developed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.2
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• pp.153-162
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• 2006

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. In this paper, potential customer satisfaction improvement (PCSI) index was developed using Kano model and CS coefficient. Timko has developed customer satisfaction (CS) coefficient based on Kano model. The PCSI index represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. In order to explain the meaning of PCSI index, a case syudy of a Family Restaurant is done. It is also discussed how to use the index strategically.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.153-171
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• 2022

To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.205-214
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• 2007

Nowadays the customer is classified with external customers and the inside customers. Which are not only end users who consume products but also all people who contribute to their earnings through the management activity of the enterprise. Furthermore, the fact that the external customer satisfaction index and inside customer satisfaction index are closely related is supported by many researches. It is interpreted if the inside customer satisfaction is not improved, achievement of the external customer satisfaction cannot be easy. In this paper, First, we will deduce the inefficient index through DEA model in each department after setting up the weight of items of inside customer satisfaction and measuring them. Second, as well as research entire models about improvement methods of inside customer satisfaction getting improvement methods for reaching a goal in the minimum amount of efforts.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.212-231
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• 2004

It is very important to produce military goods for customers, and a customer satisfaction index should be developed for quality control of military goods. Seoul National University and Defense Quality Assurance Agency jointly developed MCSI (Military Customer Satisfaction Index). In this paper the model of MCSI is explained, and the sampling design and survey method is introduced. Also a preliminary test was undertaken, and its result is briefly explained.

• Proceedings of the Korean Society for Quality Management Conference
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• 2009.10a
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• pp.109-114
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• 2009

Recently, there has been growing interest in the financial and economic effectiveness of service quality and customer satisfaction. It means that the final goal of customer satisfaction is the maximization with firms' financial performance, enterprise could survive through the creation of continuous financial performance. Companies are working in various ways to identify the direct relationship of service quality and customer satisfaction with financial and economic effectiveness in order to justify and validate customer satisfaction management. In this study, the influence of customer satisfaction on the financial performance is examined. Also, we have analyzed customer satisfaction by comparing financial outcome of each industry Customer satisfaction index, the key non-financial performance measure has significant association with firms' financial performance index. Moreover, high customer satisfaction has a competitive advantage, so it can be the key success factor of firm's financial performance improvement.

• Journal of Korean Society for Quality Management
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• v.48 no.2
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• pp.329-344
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• 2020

Purpose: The purpose of this study is to measure the Airline Educational Service Quality and to find ways to improve the priority factors that need improvement. Methods: The 267 collected data from the survey of K-airline calculate the Potential Customer Service Improvement Index based on the Kano Model, Timko Customer Satisfaction Index and conduct Focus Group Interview. Results: The satisfaction of Airline Educational Service Quality can be improved if instructor operations are intensively managed considering field experience and contents that can be applied in the field. Conclusion: This study would provide useful information about Airline Educational Service Quality and can be applied to map out strategies to improve the satisfaction of the Airline Educational Service.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.221-230
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• 2017

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

• Journal of Construction Engineering and Project Management
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• v.4 no.4
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• pp.17-32
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• 2014

In a competitive business environment, like construction, achieving customer satisfaction has been identified as an important element for measuring project's success and sustaining competitive advantage. Traditionally, customers were expelled from the product development process. Little effort was done, in the past to identify the factors that lead to customer satisfaction and hence, use them for product improvement. Organizations that adopted that approach, encountered the risk of losing their customers. In construction, end-users of governmental housing projects were excluded from the design decision making process and accordingly, their requirements were not reflected in design. Although a number national customer satisfaction indices and barometers have been developed worldwide, they have their own limitations and shortcomings. This paper aims to develop an international index for customer satisfaction in the construction Industry. For the first time in construction literature, this research identified, validated and classified 45 drivers for achieving customer satisfaction in the construction industry.