• 복식문화연구
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• 제29권1호
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• pp.87-102
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• 2021

The purpose of this study is to investigate customer satisfaction factors that affect customer loyalty and revisit intention, and the seven factors which comprise the marketing mix that affects customer satisfaction. loyalty, and intention to revisit. The purpose of the project is to propose a research model by testing the mediated effects of customer satisfaction and loyalty using mainly factor analysis, regression analysis, and mediation analysis. First the results showed that the marketing mix 7P factors influence customer satisfaction were identified as service delivery process, product, physical basis, and promotion. The factors that influence marketing mix 7P customer loyalty were tested in the order of service delivery, physical basis, product, and distribution. Second, the factors that affect customer loyalty were artists, service, and prices whereas the factors that affect customer satisfaction were tested in the order of service, artist, cosmetics, and price. Third, the factors affecting customer revisit intention were newly derived as treatment satisfaction, professionalism, and treatment products. Fourth, the relationship between marketing mix and customer revisit intention suggested that customer satisfaction and customer loyalty has a partial sale effect. It can be suggested on the basis of these findings that the effect of makeup service with marketing mix on customer revisit intention was analyzed and a new model was derived by analyzing the mediated effect of customer satisfaction and customer loyalty.

• KIEE International Transactions on Power Engineering
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• 제3A권3호
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• pp.124-129
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• 2003

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that take into account the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• 산업공학
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• 제15권2호
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• pp.172-181
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• 2002

Customer satisfaction is undoubtedly one of the top strategic issues in the new decade. Today, many organizations are rushing to become more customer focused. A key component of many initiatives is the implementation of customer satisfaction software. In this paper, we provide a case study for customer satisfaction management in a city gas company. The three issues include the plan for giving premiums and the development of a happycall system and a web-based measurement system for customer satisfaction.

• 품질경영학회지
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• 제32권1호
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• pp.102-112
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• 2004

Keep in step in trend that interest for brand is rising and enterprise should tries to customer to Inform own brand. The mayor is diversified and work this which make correct product or brand on customer need is work which our enterprise does now. And should judge the availability whether customer is satisfied to product according to the brand. Because this can be the most important matter which is kept customer and create profit that is enterprise's ultimate object. In this study, customer measured brand enforcing to blue jeans clothing company how is recognizing and distinguishes brand forefinger to low rank group with high position group. And, measured satisfaction by each group. Measured new concept that is when enforce customer satisfaction, expectation which is existent theory, result, Involvement with inconsistency theory making grafting and confirmed that involvement is factor influencing in customer satisfaction measurement.

• 한국경영과학회지
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• 제41권1호
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• pp.71-85
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• 2016

Service channel environments have changed dramatically with the advent of new, online digital channels. This article studies the effects of perceived multi-channel service quality on customer satisfaction and loyalty in the banking industry and the moderating role of age, which is a characteristic of customers. The objective is to identify the quality factors that affect the overall satisfaction and loyalty of a multi-channel customer. A quantitative study was conducted on 900 customers, with the main targets being users of the nine primary Korean retail banks. Results show that perceived service quality of the physical environment, human service, Internet banking, mobile banking, and ATM has a positive influence on overall satisfaction and loyalty. Age moderates the relationship among physical environment quality, human service, and customer loyalty.

• 대한안전경영과학회지
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• 제14권2호
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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.

• 대한안전경영과학회지
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• 제15권1호
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• pp.259-269
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• 2013

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 requirements 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. As there were a few limitations on the Kano's method and on the Timko's customer satisfaction index method. The objective of this study is to provide improved methodology based on the Kano's method. One case studies are solved by the proposed method.

• KIEE International Transactions on Power Engineering
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• 제5A권3호
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• pp.286-292
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• 2005

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that consider the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• 한국포장학회지
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• 제27권2호
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• pp.71-84
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• 2021

The purpose of this study is to establish a new management strategy to meet customer needs of discount stores as customers demand higher and more diverse services in addition to low prices. An empirical analysis on consumers to explore the structural relationships between the quality, environmentally friendliness, consumer perception, service value, and emotional response of retail ready packaging (RRP) in discount stores in order to find out how they affect customer satisfaction and repurchase intention. First, it was confirmed that the RRP quality of discount stores that affects customer satisfaction is mediated by the emotional response. Second, it was found that RRP in discount stores should continue to devise strategies to improve service quality along with efforts to provide more benefits perceived by customers to increase customer satisfaction and repurchase intention. Third, it was confirmed that the RRP image of discount stores has a positive (+) effect on service value, emotional response, customer satisfaction, and repurchase intention.

• 한국인공지능학회지
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• 제12권2호
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• pp.25-33
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• 2024

This study examines the relationship between customer satisfaction and management response in the hotel industry amid the COVID-19 pandemic. By applying regression analysis and topic modeling to consumer reviews on online platforms, we assess how consumer perceptions and management behaviors have shifted since the onset of the pandemic. The findings reveal a significant decline in customer satisfaction linked to COVID-19. Significantly, while the pandemic has reduced overall customer satisfaction levels, high response rates and high review-response content similarity mitigate the impact of the crises. These results highlight the critical need for hotel managers to continuously monitor online reviews and adapt their engagement strategies to maintain and enhance customer satisfaction during ongoing and future crises. This research not only corroborates existing theories on customer satisfaction but also exposes novel dynamics introduced by the pandemic, offering new insights for effective customer relationship management in turbulent times.