• Journal of Korean Academic Society of Home Health Care Nursing
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• v.30 no.1
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• pp.69-83
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• 2023

Purpose: This study aimed to present Blue Ocean strategies by deriving the strategic elements of a visiting nursing center and conducting a survey on the importance and satisfaction of care clients. Methods: First, a FGI was conducted targeting the head of the visiting nursing center to derive its strategic elements. Subsequently, importance and satisfaction surveys on the derived strategy elements were analyzed, an IPA matrix was derived, and an as-is ERRC Blue Ocean strategy was established. Kano's Three-Factor Theory was used to derive a competitive position matrix and establish a to-be ERRC Blue Ocean strategy. The Blue Ocean Strategy for Visiting Nursing Center Management is presented in this study. Results: Four as raise factors were derived from combining the results of the as-is, to-be ERRC strategy element analysis: retention of competent nurses, education in medication management, maintenance of high customer satisfaction, and prompt handling of customer complaints. Additionally, the customer's health condition evaluation was derived. Conclusion: Blue Ocean Strategies can be used to analyze, derive, and establish management strategies in various nursing-related entrepreneurship fields.

• Proceedings of the KSR Conference
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• 2006.05b
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• pp.957-962
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• 2006

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.475-475
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• 2004

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.618-628
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• 2015

The purpose of this study was to seek out the structural relation among Relationship Benefits, Customer Satisfactions, and Customer Preference of members to Personal Training. For the subject of this study, we selected 227 persons among men of more than 20 years old age who used Personal Training Center more than 1 month through the Convenient Sampling Method. For the analysis, we used SPSS 15.0 Statistics Package and AMOS 7.0 program as a research tool and have carried out Frequency Analysis, Confirmatory Factor Analysis, Reliability Analysis, and Structural Equation Model Analysis. The results were as follows: First, the Customization Benefits among Relational Benefits have a positive effect on the Customer Satisfaction. Second, the Psychological Benefits and Social Benefits among Relational Benefits have a positive effect on the Customer Preference. Third, the Customer Satisfaction has a positive effect on the Customer Preference.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.621-637
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• 2019

This study verifies the impact of emotional labor of online shopping mall call center counselor on customer orientation and the medium effect of job burnout. The study targets call center counselors from four companies that operate online shopping malls, and 271 copies are used for final data analysis. The results are as follows. First, deep action, a subfactor of emotional labor, has shown to have a significant positive effect on customer orientation. Second, the deep action of emotional labor has shown to have a negative effect on depersonalization and reduced personal accomplishment, while the surface action has a positive effect on job exhaustion and depersonalization. Third, deep action of emotional labor is found to increase customer orientation through depersonalization and reduced personal achievement, which are sub-factors of job burnout, while surface action of emotional labor is mediated by depersonalization, lowering customer orientation. The results of this study confirm that it is necessary to increase deep action and reduce job burn-out in order to improve customer orientation. Also, it is meaningful that the study verifies the role and the mediating effect of job burn-out.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.863-876
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• 2022

Purpose: The purpose of this study is to propose the product quality satisfaction index based on multiple linear regression using customer reviews. Methods: The proposed framework is composed of four steps. First, we collect online reviews and divide it into insight phrases. The insight phrases are classified using product attribute dictionary and sentiment analysis is conducted. Second, the importance of attributes is calculated in consideration of both regression coefficient and frequency. Third, the positive rate is calculated concerning sentiment analysis result. Therefore, the quality satisfaction index is measured by the weighted sum of importance and positive rate in the last step. Results: We conduct a case study using 2-years(2020, 2021) of Samsung TV reviews to confirm the effectiveness of the proposed methodology. As a result, we found that Picture quality is the most crucial attribute in TV evaluation. The importance of Gaming and content has grown up as the positive rate has also increased. Therefore, the overall satisfaction of TV has increased in 2021 compared to 2020. Conclusion: The result of this study shows that the proposed index reveals the customer's mind efficiently and can be explained by the importance and positive rate of each attribute. By using the proposed index, companies are able to improve and the priority of improvement can be determined.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.911-914
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• 2012

For competitiveness of national B2C (Business to Customer) service industry, improvement of process and analysis focused on customer and change of service system are needed. To achieve this goal, accurate feedbacks from customers play an important role; however, there is no quantitative and standard system in Korea. The medical tourism industry is taking center stage as a high value added industry among many other B2C service industries. In this paper, we suggest an evaluation model for customer satisfaction measurement about medical tourism industry and the application system on smartphone for that.

• Journal of Intelligence and Information Systems
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• v.4 no.1
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• pp.115-131
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• 1998

Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

• Journal of Service Research and Studies
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• v.7 no.1
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• pp.53-64
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• 2017

Recently meet the growing needs of customers and has increased, the need for training of customer contact staff in order to improve and increase customer satisfaction. These service training is because it improves the service capabilities of contact for customer-facing employees to respond to customers as well as to improve customer satisfaction. This study is placed in the field after the service training aimed at Customer contact staff joined in 2013~2016 in the first half of these new recruits training education working in the Seoul Metro customers respond to customers in customer contact and practical services it will proceed to the empirical study of how this affects the satisfaction and loyalty to the organization for the job than to find a better improvement in the educational program.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.137-146
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• 2009

Researches on after-sales quality have centered on home electric appliances, figuring out how factors influencing after-sales service quality are causally related to customer's behavioral intentions, via consumer satisfaction as an intermediary parameter In most cases of after-sales service in home electric appliances, upon customer's request, service agents make a visit to where the appliance is installed, and check the product and do repairs. However, in case of a small portable device such as a cell phone, which people carry around at all times, most of the times customers themselves show up at the after-sales center, and demand a check-up and repairs. The main difference here is that the after-sales services are provided when a product can no longer perform its basic function and customer dissatisfaction is already up. In this case, the basic function of a product corresponds to must-be factor according to Kano model. The goal of our research is to identify critical factors for effective and efficient after-sales service, and how to monitor them on a routine basis. In our research, the quality after-sales service consists of three dimensions, interactive quality, result quality, and physical environment quality. We set up variables for each dimension, which would measure from customer's perspective key determining factors in service delivery process. Instead of focusing on customer satisfaction aspect, we focused on how after-sales service factors contribute to addressing customer complaints. Additionally, our future research would aim to verify how customer's behavioral intentions are affected, as the resolution of consumer complaints becomes more successful when adjustment of relevant quality factors improves after-sales service quality.