• Knowledge Management Research
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• v.11 no.3
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• pp.59-76
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• 2010

The knowledge of customer in healthcare service industry is widely accepted as one of the key information for the customers' satisfaction. Previous studies on the customer knowledge about service recovery showed that service providers are having difficulties with standardizing interaction with customer, This study investigated the attribution according to the failure in providing medical services and customer's participation as preceding variable of attribution. A survey was carried out targeting an obesity clinic having high participating rate from May 10 to May 28, 2010. The research results revealed that from whom the responsibility of the service failure originated between the patients and the medical institutions depending on the extent of the patients involvement in service process.

• The Research Journal of the Costume Culture
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• v.18 no.3
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• pp.526-540
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• 2010

Due to fierce competition, many domestic fashion businesses are suffering difficulty in securing and maintaining customers. Accordingly, fashion companies are devoting all their energy to secure customers by using high quality and diverse strategies for distribution and promotion, and to secure loyalty by satisfying customers with the offer of excellent service. Thus, it is very important to provide systematic service recovery strategy available for handling service failure effectively. Therefore, the purpose of this study is comprehensively analyzing influences of expectation dis-confirmation and perceived justice for service recovery upon consumers' satisfaction and loyalty. The findings are as follows. First, as for the service failure that customers experienced, the more consumers who expect it to be recovered led to the higher formation of expectation-compensation dis-confirmation. Second, it was indicated that the higher seriousness in service failure that customers experienced led to the lower satisfaction and loyalty to service recovery. Third, as a result of examining influence of expectation-compensation dis-confirmation for service-failure recovery upon consumer satisfaction and loyalty, the customers who showed more positive dis-confirmation to expectation-compensation were indicated to form the more satisfaction and loyalty. Fourth, as a result of examining the influence of the perceived justice in the process of service-failure recovery upon customer satisfaction, all in 3 dimensions of justice had effect on customer satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.133-141
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• 2012

Service and manufacturing companies' efforts are increasingly focused on utilizing services to satisfy customers' needs and survive in today's competitive market environment. The value of services depends mainly on service reliability that is identified by satisfaction derived from the relationship between customer and service provider. In this paper, we extend concepts from the failure modes and effects analysis of tangible systems to services. We use an event-based process model to facilitate service design and represent the relationships between functions and failures in a service. The objective of this research is to propose a method for evaluating service reliability based on service processes using fuzzy failure mode effects analysis (FMEA) and grey theory. We define the failure mode of service as interaction ways that can be failed in a service delivery process. The fuzzy set theory is used to characterize service reliability based on linguistic terms during FMEA. Grey theory is employed to determine the degree of relation and ranking among risk factors that are represented as potential failure causes. To demonstrate implementation of the proposed method, we use a case study involving a typical automotive service operation.

• The Journal of Korean Association of Computer Education
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• v.11 no.3
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• pp.81-89
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• 2008

The failure occurrence of resources in the grid computing is higher than in a tradition parallel computing. Since the failure of resources affects job execution fatally, fault tolerance service is essential in computational grids. And grid services are often expected to meet some minimum levels of quality of service (QoS) for desirable operation. However Globus toolkit does not provide fault tolerance service that supports fault detection service and management service and satisfies QoS requirement. Thus this paper proposes fault tolerance service to satisfy QoS requirement in computational grids. In order to provide fault tolerance service and satisfy QoS requirements, we expand the definition of failure, such as process failure, processor failure, and network failure. And we propose resource scheduling service, fault detection service and fault management service and show implement and experiment results.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.61-63
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• 1995

The main factors to bring out the power failure are trouble and operation power failure, the operation power failure of these includes about 85%. So, it is required that the without interruption of service method reduce the operation power failure. If we develop the without interruption of service method, the operation power failure will reduce greatly. It is necessary to develop the without interruption of service method which it solve various trobles (dissatisfacting solution of customer, sales revenue augmentation, and the reduction of the power failure negotiation work). The results of study are drawing up of the specification for temporary transmission methods, it of the working methods for them, and the scrutiny of the technology contents for them.

• Journal of Communications and Networks
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• v.16 no.5
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• pp.534-547
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• 2014

Large-scale failures resulting from natural disasters or intentional attacks are now causing serious concerns for communication network infrastructure, as the impact of large-scale network connection disruptions may cause significant costs for service providers and subscribers. In this paper, we propose a new framework for the analysis and prevention of network service disruptions in large-scale failure scenarios. We build dynamic deterministic and probabilistic models to capture the impact of regional failures as they evolve with time. A probabilistic failure model is proposed based on wave energy behaviour. Then, we develop a novel approach for preventive protection of the network in such probabilistic large-scale failure scenarios. We show that our method significantly improves uninterrupted delivery of data in the network and reduces service disruption times in large-scale regional failure scenarios.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.74-84
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• 2006

It is quite impossible for a service firm to deliver service without failure. The main reason is that service is intangible, perishable and heterogeneous in nature. Every service firm tries its best to recover service failure with understanding that service failure affects customers' evaluation and attitude for the firm. The research finds that customers' satisfaction after recovery affects customers' intentions both service encounter satisfaction and overall firm satisfaction strongly affects positive word-of-month and purchase intentions. The results have implications to researchers and service marketing managers. For researchers, the result will be helpful for them to further develop service failure and recovery framework. For service marketing managers, the result will suggest specific guidelines for establishing service recovery strategies.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.129-139
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• 2019

The purpose of this research is to examine the effect of informational justice on post-recovery satisfaction, and the effect of post-recovery satisfaction on behavioral intentions in e-commerce, including further investigate the moderating effect of service failure severity. Using quantitative method, the population of this research are online customers in Indonesia, with non-probability sampling that will be done by purposive sampling method based on predetermined criterias, which are customers who were doing transactions in the Business to Consumer (B2C) online sites, experienced service failure in the last 6 months, submitted a complaint, and received a response. Sample of 317 online customers were gathered and analyzed using the Structural Equation Modeling. The results of this study indicated that 5 hypothesis are supported with data. As a conclusion, informational justice and post-recovery satisfaction has positive effect, while service failure severity acts as a moderator between post-recovery satisfaction and behavioral intentions. As a managerial implication, online store management needs to ensure the informational justice to make a post-recovery satisfaction. Therefore, online store management needs to ensure the informational justice to make a post-recovery satisfaction, increase repurchase and positive e-word of mouth intention, also work harder to recover services, especially in high service failure severity condition.

• Journal of Korean Society for Quality Management
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• v.42 no.1
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• pp.43-61
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• 2014

Purpose: This study identifies preventive measures for VOC management by analyzing the causes and effects of factors that contribute to high risk service failure using FMEA on KORAIL VOC data. Methods: Two research methods were used. First, a Risk Priority Number (RPN) was assigned to each KORAIL VOC based on Failure Mode and Effect Analysis (FMEA). Second, multiple regression analysis was run with RPN factors that include severity, occurrence, and detection as the independent variables and customer dissatisfaction as the dependent variable. Results: Multiple regression analysis showed that RPN factors including severity, occurrence, and detection had significantly positive relationship with customer dissatisfaction. Based on these results, an FMEA was performed on VOC categories with high RPN for railroad stations including platform, ticketing, ticket verification, parking, and escalator, and VOC categories with high RPN for trains including entrance doors, cafes, air quality, announcement, and ticket verification. Conclusion: This study has practical implications to service failure management. A priority order using FMEA was established for the list of customer dissatisfactions that should be addressed to actively manage service failure, and strategies for tackling this priority list are offered.

• Journal of the Korean Home Economics Association
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• v.47 no.7
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• pp.73-82
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• 2009

The purpose of this study was to examine the effect of perceived justice associated with service recovery on perceived service quality, and the relationships among perceived service quality, customer satisfaction and behavioral intentions in online apparel shopping contexts. Justice theory provided the theoretical framework for this study. The research strategy employed an online survey methodology. Online shoppers (N=669) who had experiences in service failure and dissatisfactions completed a questionnaire. The model of the study was tested by structural equation modeling (SEM) and the results of SEM revealed positive effect of perceived justice regarding service recovery on perceived service quality, positive effect of perceived service quality on customer satisfaction, and positive effect of customer satisfaction on behavioral intention. The results of this study have implications for online retailers. Online retailers need to understand the importance of service recovery by which service failures are managed.