• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.445-458
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• 2014

Purpose: Present study was designed to examine the casual relationships among web service quality, customer satisfaction, initial trust and off-line visit intention in hospital website. Research object was limited to web service quality of general hospital. We applied path analysis model in order to test the hypotheses and research model. Methods: Survey tool, that is, Questionnaire had obtained validity through literature survey, exploratory survey and pretest and sample 320 was selected. For statistical treatment of pretest and main analysis, SPSS18.0 and AMOS18.0 were employed and Structural equation model was employed as analysis method. Results: Result of this study shows as follows. Factors of web service quality have an effect on customer satisfaction and initial trust, both of customer satisfaction and initial trust have an effect on off-line visit intention. Also customer satisfaction affects initial trust. Especially, customer satisfaction and initial trust were empirically confirmed as the important factors preceding off-line vis it intention. Conclusion: Therefore, present study shows that customer satisfaction and initial trust are important factors that medium and small size hospitals have to emphasize to raise performance. However, present study has some limitations to additionally research in the future.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.158-164
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• 2021

The purpose of this study is to analyze the structural relationship between customer's pleasure, customer satisfaction, switching cost, and relationship commitment using the fitness center and provide implications. Specifically, this study aims to investigate the effect of the degree of customer's awareness of pleasure on the relationship commitment through the medium of customer satisfaction and switching cost. For this purpose, the structural equation model was constructed based on the previous studies, and the exogenous variables were pleasure, and the endogenous variables were customer satisfaction, switching costs and relationship commitment. The subjects of this study were customers who used fitness centers in the metropolitan area. The sampling method for the sample survey was a total of 277 people using convenience sampling. 257 copies were used as final data except for 20 samples that were not appropriate for the study. The statistical program for data analysis was IBM SPSS Ver. 26.0 and Amos 21.0. The specific data processing method is as follows: First, frequency analysis was conducted to understand the general characteristics of the subjects. In order to verify the validity and reliability of the research tools, confirmatory factor analysis and reliability analysis were conducted. In order to understand the theoretical relationship between each variable, structural equation model was conducted. The results of data processing on the research model are as follows: First, the pleasure of the fitness center customers had a positive effect on customer satisfaction. Second, customer satisfaction had a positive effect on the switching costs. Third, customer satisfaction had a positive effect on the customer commitment. Fourth, switching costs had a positive effect on customer commitment.

• Journal of the Korean Society of Costume
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• v.61 no.1
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• pp.34-46
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• 2011

The purposes of this study are to classify apparel service quality elements using the Kano's model, and to identify how much service quality can increase the degree of customer satisfaction when the service quality is fully fulfilled. Women over 20 years-old from metropolitan areas participated in the study. Data from 254 questionnaires were used for the statistical analysis. The results were as follows: First, 17 service quality elements were categorized into one-dimensional quality which could lead to both satisfaction and dissatisfaction, and 3 services quality elements were categorized into indifferent quality which neither result in satisfaction nor dissatisfaction. Second, potential customer satisfaction improvement(PCSI) Index was developed using Kano model and CS coeffient. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in fashion retail store.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.80-108
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• 2016

Contemporary organizations strive for customer agility through the deployment of digital technologies on customer-focused operations to build enduring customer relationships, with mobile apps being one of its prominent examples. Drawing on prior agility and ECT literature, this study proposes a model to examine customers' view of a firm's customer agility. Our empirical test of conceptual model from data collected in a field study from 128 customers demonstrated that the conceptual model offers good explanation for customers' view of a firm's customer agility through relationships among customer expectations-customer perceived firm's responsiveness-satisfaction. Data were analyzed using PLS, polynomial modeling, and response surface methodology to examine the relationships between customers' digital interactions with the firm, influence of digitized interactions on customer expectations, customers' evaluation of firm's responsiveness, and subsequent customer satisfaction.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.258-266
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• 2023

Aiming at the problems of poor customer satisfaction and poor accuracy of customer classification, this paper proposes a customer classification model based on speech recognition. First, this paper analyzes the temporal data characteristics of customer demand data, identifies the influencing factors of customer demand behavior, and determines the process of feature extraction of customer voice signals. Then, the emotional association rules of customer demands are designed, and the classification model of customer demands is constructed through cluster analysis. Next, the Euclidean distance method is used to preprocess customer behavior data. The fuzzy clustering characteristics of customer demands are obtained by the fuzzy clustering method. Finally, on the basis of naive Bayesian algorithm, a customer demand classification model based on speech recognition is completed. Experimental results show that the proposed method improves the accuracy of the customer demand classification to more than 80%, and improves customer satisfaction to more than 90%. It solves the problems of poor customer satisfaction and low customer classification accuracy of the existing classification methods, which have practical application value.

• The Korean Journal of Franchise Management
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• v.9 no.4
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• pp.7-19
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• 2018

Purpose - Recently, global management in Korea franchise industry is becoming an important keyword. As an important branch market, Chinese market plays a major role not only by making experience of the competitiveness among global brands which offers a foothold to become a top global brand, but also by actualizing an economies of scale in production, sales, etc. Therefore, it is necessary to identify key successful factor influencing customer evaluation and responses of Korean franchise restaurant targeting Chinese consumers in China context. The purpose of this study is to examine the effects for Korean franchise restaurant selection attributes on perceived value, customer satisfaction and customer loyalty in Chinese context with SmartPLS 3 and Artifical Neural Network(ANN). Research design, data, and methodology - For these purposes, the authors developed several hypotheses. A questionnaire survey was conducted on the panel of online survey companies for Chinese consumers who have visited Korean franchise restaurants. A total of 404 data were analyzed using structural equation modeling(SEM) and artifical neural network(ANN) with SPSS 22.0 and SmartPLS 3.0. Result - The findings of this study are as follows: First, the alternative model findings show that facilities & atmosphere, employee service, and menu influenced on utilitarian value, customer satisfaction, and customer loyalty directly. Second, employee service influenced on customer satisfaction. Third, menu influenced on hedonic value. Fourth, brand reputation influenced on utilitarian value. Fifth, hedonic value increase customer satisfaction and customer loyalty. Sixth, hedonic value increase customer loyalty. Seventh, customer increase customer loyalty. And, the ANN analysis shows that utilitarian value is the first most important factor influencing customer satisfaction, followed by hedonic value, facilities & atmosphere, menu and employee service. However, the ANN analysis shows that customer satisfaction is the first most important factor influencing customer loyalty, followed by utilitarian value, hedonic value, brand reputation, menu, and employee service. Conclusions - This study provides practical implications for enhancing customer satisfaction and customer loyalty by applying the ANN technique that complements the limitations of the linear structural relationship analysis using the proposed model and the alternative model. In other words, the SEM-ANN model provides guidelines on how Korean franchise restaurants should formulate facilities & atmosphere, employee service, and menu mix strategies in China. In addition, ANN 's analysis shows that restaurant brand reputation plays a pivotal role in increasing customer loyalty. The fact suggests that Korean franchise companies should establish their domestic brand reputation prior to their entry into overseas markets such as China.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.310-313
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• 2000

This paper develops a model of customer satisfaction in the mobile telecommunication services. We examine the relationships among customers'overall satisfaction and underlying dimensions； perceived service quality, service value, and brand image. Variables related to customer satisfaction and dissatisfaction are derived from customer critical incidence survey. The model is estimated with multi-variate data analysis. Results indicate that the (1) technical service quality is the main driver of customer overall satisfaction, (2) some peripheral services are rapidly evolving into the core services of mobile telecommunications, and (3) the current policy of service providers does not focus on customer satisfaction but on establishing churning barrier by increasing switching costs.

• Proceedings of the Safety Management and Science Conference
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• 2012.04a
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• pp.23-35
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• 2012

The purpose of this study is to present HACCP management method for improving customer satisfaction in bakery industry. As a study method, literature review on HACCP and customer satisfaction and developing questionnaires through model design were done. Then, a survey was done to 209 customers who had experiences of visiting small size bakeries in Seoul or the national capital region. It was then statistically analyzed and examined. In conclusion, even though the respondents showed positive expectation that the certification of HACCP will have an effect on the factors of customer satisfaction like brand image, quality of product and service, facility and physical environment and so on, but as we proved in the course of study model's hypothesis confirmation, actually, current promoting efforts and strategies of the government or related institutions to spread recognition of HACCP don't have an meaningful effect on the factors of customer satisfaction.

• 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 the Korean Society of Food Culture
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• v.23 no.1
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• pp.48-54
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• 2008

The purpose of this study was to measure the factors influencing customers’ value perception of foodservice in tourist area’s restaurant. A total of 273 questionnaires were completed. Structural equation model was used to measure the causal effects. Results of the study demonstrated that the confirmatory factor analysis model also indicated excellent model fit. The proposed model yielded a significantly better fit to the data than the parsimonious model and extended model. In proposed model, the effects of perceived sacrifice, overall service quality and customer satisfaction on perceived value were statistically significant. The effects of perceived value on loyalty intention were statistically significant. As expected, the overall service quality had a significant effect on customer satisfaction. Moreover, the customer satisfaction played a mediating role in the relationship between overall service quality and loyalty intention.