• Journal of Digital Convergence
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• v.13 no.3
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• pp.19-29
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• 2015

This study is to evaluate the public drinking water service systematically, to improve customer satisfaction level, also overcoming the limitations of the existing method often relying on the satisfaction measurement subjectively. Thorough the rigid quality control of the service and its effect on civil affairs administration, we conclude that quality of the public service has an influences on the customers' satisfaction, which play a role to intensify the confidence and support of the civil administration by its appropriate management. Thus quality control management itself has its own value in that the satisfaction and confidence of the service result from the quality. The new model can be utilized as a Service Quality Index for the public drinking water service. To enhance the customers' satisfaction and confidence of the water suppliers, it is very useful that they reflect the customers' needs exactly through the service quality control regularly.

• Asia Marketing Journal
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• v.10 no.2
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• pp.99-123
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• 2008

Consumer satisfaction/dissatisfaction is key determinant of brand loyalty and store patronage behavior. But the results of many customer satisfaction surveys implemented by department stores show that consumer satisfactions do not predict the actual patronage behaviors well. The main reason of these surprising results would be that the consumer satisfaction indexes do not include some important determinants of consumer satisfaction. Many customer satisfaction surveys mainly focus on the evaluation of functional benefits including product assortments, merchandise prices and locational convenience. Recent studies indicate that emotional/hedonic benefits strongly influence the consumer satisfaction, intention to repurchase and intention to revisit. Our study suggests that both functional values and hedonic values should be included in developing the index of consumer satisfactions. The purpose of our study is to investigate the relationship between shopping value and consumer satisfaction, and actual patronage behavior. Shopping values is defined as the difference between total benefits and total shopping costs. Total benefits include the dimensions of product quality, service quality, and hedonic benefits. Total costs are classified as the monetary costs and non-monetary cost. The conceptual framework developed for this empirical study is as follows.

• Journal of Engineering Education Research
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• v.8 no.3
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• pp.69-76
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• 2005

The crisis of science-engineering field is a significant problem which hinders the improvement of national competitiveness. In this study, we use a structural equation model to propose two kinds of satisfaction indices of engineering education: m index for major and p index for personality. They are used to improve the current situation of engineering education in Korea. Based on the resulting feedback information, we suggest several strategic plans for science-engineering field.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.6
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• pp.667-683
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• 2015

Since aged water treatment facilities could threaten the sustainable water supply, asset management system has been adopted for their systematic management. Level of Service(LoS) is one of critical components of asset management and could be quantified through benchmark index(BMI). Water supplier could estimate consumer's satisfaction and their performance through BMI to improve the LoS. We developed BMI for water treatment facilities from customer's satisfaction survey. BMI, represented with the Total Service Score(TSS), was assessed with water quality, water pressure, taste and odor, water rate, and service quality with weighing factors. BMI could, further, be used to assist the analysis of the life cycle cost to increase the unit of LoS.

• Journal of Korean Society for Quality Management
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• v.51 no.1
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• pp.37-54
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• 2023

Purpose: A main aims are to check the level of satisfaction of service quality and derive service quality factors in the field of defense quality assurance activities that need improvement. Furthermore, the paper presents a basic data for identifying future development directions. Methods: Classify the level of service perceived by customers and calculate the customer satisfaction coefficient and PCSI index. In addition, the direction of future research is established by empirically comparing and analyzing the data of this study and the past data. Results: The paper derive the service quality factors to be provided to small businesses in the current state. Moreover, It shows the increasing trend of new companies using comparative analysis with past data Conclusion: Since the new company consists of small businesses with less than 50 employees, further research on small businesses is needed in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.508-515
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• 2003

There are various methods to assess to company's outcome. Among them, the customers satisfaction, which is assessed by customers, is the most important. If the customers satisfaction is measured by the CSI based on the proper reliability and validity, you can apply the result for various marketing methods. Therefore, this study develops a model to assess CSI for an industry, specifically, local automotive industry based on the SEM that is already proven valid through assessing models such as ACSI, KCSI and NCSI. Moreover, this research can be utilized for marketing strategy helping customers to decide as an AHP model, one of the decision making method.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.201-211
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• 2013

This study compares Customer Satisfaction Index(CSI) and the weight for each dimension by applying various methods of weight calculation and attempts to suggest some implications. For the purpose, the study classified the methods of weight calculation into the subjective method and the statistical method. Constant sum scale was used for the subjective method, and the statistical method was again segmented into correlation analysis, principal component analysis, factor analysis, structural equation model. The findings showed that there is difference between the weights from the subjective method and the statistical method. The order of the weights by the analysis methods were classified with similar patterns. Besides, the weight for each dimension by different methods of weight calculation showed considerable deviation and revealed the difference of discrimination and stability among the dimensions. Lastly, the CSI calculated by various methods of weight calculation showed to be the highest in structural equation model, followed by in the order of regression analysis, correlation analysis, arithmetic mean, principal component analysis, constant sum scale and factor analysis. The CSI calculated by each method showed to have statistically significant difference.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.211-238
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• 2015

Despite longstanding concern with the dimensionality of the service quality construct as measured by ServQual and IS-ServQual instruments, variations on the IS-ServQual instrument have been enduringly prominent in both academic research and practice in the field of IS. We explain the continuing popularity of the instrument based on the salience of the item set for predicting overall customer satisfaction, suggesting that the preoccupation with the dimensions has been a distraction. The implicit mutual exclusivity of the items suggests a more appropriate conceptualization of IS-ServQual as a formative index. This conceptualization resolves the paradox in IS-ServQual research, that of how an instrument with such well-known and well-documented weaknesses continue to be very influential and widely used by academics and practitioners. A formative conceptualization acknowledges and addresses the criticisms of IS-ServQual, while simultaneously explaining its enduring salience by focusing on the items rather than the "dimensions." By employing an opportunistic sample and adopting the most recent IS-ServQual instrument published in a leading IS journal (virtually, any valid IS-ServQual sample in combination with a previously tested instrument variant would suffice for study purposes), we demonstrate that when re-specified as both first-order and second-order formatives, IS-ServQual has good model quality metrics and high predictive power on customer satisfaction. We conclude that this formative specification has higher practical use and is more defensible theoretically.

• Korea Journal of Hospital Management
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• v.15 no.3
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• pp.143-169
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• 2010

This is a case study of Seoul St. Mary's Hospital applying a real-time enterprise (RTE) strategy to improve customer satisfaction and operational efficiency with the main process of medical institutions. The hospital is applying an RTE strategy to get real-time information on occurrences at each contact point of the main process of the medical institution from reservation to discharge through dashboard and to resolve issues through rapid decision-making. The RTE strategy of the hospital has some summaries: First, the hospital has linked a hospital management strategy to the RTE strategy to build a patient-centered treatment process. Second, the hospital has operated a control tower for change management and implementation monitoring in the process of implementing the RTE strategy. Third, the hospital has built systematic RTE-based environment as an application program in which the nU System is linked to Business Processor Renovation (BPR) promoted from 2006 on. Fourth, the hospital is applying a strategy to improve efficiency in operating the hospital by increasing customer satisfaction, removing inefficiency and variability, and managing medical resources efficiently through the RTE strategy. Fifth, it has established an information-sharing system through authority management for each user in terms of RTE information. Sixth, it has supplemented limitations of short-term information of the RTE strategy by linking the key performance index to the cost information system in order to improve performance of the RTE strategy. Seventh, it has improved customer satisfaction and achieved higher performance in improving operational efficiency, as compared with rival hospitals, through the RTE strategy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.50-58
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• 2018

Process Capability ($C_{pk}$) is a representative measure of how well the producer manages dispersion and bias for the specifications needed by the consumer. This is expressed as a ratio of 6 times the natural tolerance to the specification. As the producer manages the dispersion small, the capacity index becomes higher. And it is classified into 5 grades according to the degree of management. It is a measure of the quality of processes used in most industrial fields. However, $C_{pk}$ is calculated by only reflecting the mean and dispersion of the process, there is a disadvantage that it can not give information about the economic loss caused by the inconsistency of the process with the target value. Overcoming these drawbacks, process capability indexes reflecting various types of loss functions such as $C_{pm}$, $C^+_{pm}$ and $C_{pl}$ have been developed. However, all of these previous studies have applied the limit to the consumer specification, which is based on the traditional and passive quality perception that the quality characteristic should exist within the limits of the consumer specification. In this study, we will develop 'Customer Satisfaction Quality Indicator (CSQI)' which is a quantitative indicator that can be fully evaluated when the manufacturer's specification limit, which is an aggressive quality strategy, is applied. This is expected to be useful decision information for both producers and consumers.