• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.4
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• pp.585-592
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• 2016

This study was conducted to analyze the gap between importance and satisfaction of university foodservice attributes as well as to assess customer satisfaction with university foodservice establishments. All statistical analyses were conducted using the SPSS package program (ver. 20.0) for t-test, ANOVA, and Importance-Performance Analysis (IPA). A total of 619 valid responses were used for the data analysis. The results of this study are as follows: the composition of respondents was 53.5% males and 46.5% females. Exactly 85.5% of respondents ate lunch at least five times a week at the on-campus foodservice. The favorite lunch menus of Chinese university students were Chinese food (91.8%), followed by Western food (3.5%), Korean food (2.2%), and Japanese food (1.5%). According to the results of IPA, foodservice selection attributes that were priorities for improvement were food taste, food freshness, menu variety, waiting time for meal, and toilet cleanliness. In addition, five satisfaction factors were extracted by exploratory factor analysis. According to the results of one-way ANOVA, 'physical environment' and 'service quality' factors showed significant differences according to the students' grades and the frequency of eating lunch at on-campus foodservice. On the other hand, 'food quality and menu' and 'convenience and price' factors showed significant differences according to meal cost. In conclusion, in order to enhance customer satisfaction of on-campus foodservice, foodservice managers should offer a varied menu at reasonable prices and improve food quality.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.22-36
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• 2014

This study aims to analyze the effects of the selecting attributes of medicinal food on recognition & customer satisfaction in Gyeongju Area. For this study, the data was analyzed using SPSS WIN 20.0 for an empirical analysis. Moreover, the survey questions were sent out to 300 people and 256 questionnaires among them were returned for using the sample data. The results are as follows. First, the selecting attributes had a significant impact on the cognition of professionalism while they didn't on the cognition of health food. Second, the cognition of health food and the cognition of professionalism had a significant impact on satisfaction. Third, the service attribute had a significant impact on satisfaction while the nutrition attribute and the professionalism attribute didn't. Based on the results of this study, medicinal restaurants should provide professionalism, service, nutrition in order to enhance customer satisfaction and their competitive power in the restaurant market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.287-297
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• 2021

The goal of this study is to investigate and provide information to the Fintech Industry on the main factors responsible for customer loyalty via the mediating effect of customer satisfaction. Secondly, providing traditional banking reasons for customer shifts from banking to Fintech, therefore these factors could be more focused. The consumer choices presented in this study can thus serve as a foundation for further research into post-adoption behaviors associated with Fintech for cross-border payments. This study examines consumer evaluations of how key attributes of fintech using mobile payment services affect their choice by using a conjoint analysis approach, which allows for the approximation of user preferences for specific features. In our study we have used SPSS 26 to test the reliability and mediation effect on the sample size of 348 people who regularly used Fintech for cross border payments. All the questionnaires were prepared if the customers were given fintech as an option instead of traditional banks to send their remittances abroad. The result shows that(Service Quality, Customer's trust and product quality) effecting customer satisfaction significantly would be very helpful for the current fintechs working for home remittances to improve these factors and would serve as a benchmark for the upcoming fintech startups and traditional banks to focus on these factors and catch up the fintech Industry. Finally, it is argued that, in order to be successful, focusing on service quality, customer trust, and product quality triggered customer loyalty for the Fintech in comparison to other traditional options for cross-border payments via the mediation effect of customer satisfaction.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.219-230
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• 2013

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Journal of Korean Society for Quality Management
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• v.36 no.3
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• pp.1-12
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• 2008

Obtaining the accurate final importance of each customer attribute (CA) is very important in the house of quality(HOQ), because it is deployed to the quality of the final product or service through the quality function deployment(QFD). The final importance is often calculated by the multiplication of the relative importance rate and the competitive priority rate. Traditionally, the sample mean is used for estimating two rates but the dispersion is ignored. This paper proposes a new approach that incorporates statistical significance to consider the dispersion of rates in determining the final importance of CA. The approach is illustrated with a design of car door for each case of crisp and fuzzy numbers.

• Journal of Korean Society for Quality Management
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• v.31 no.2
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• pp.143-164
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• 2003

In this paper, we use and apply statistical tools to planning marketing strategy in advanced markets. New comers with low brand awareness in advanced markets can not attain high profit easily and need more effective strategic approach. In this paper, an effective and practical procedure is proposed to plan marketing strategies to satisfy the customer and increase the market share in advanced markets. The procedure consists of 5 steps : market survey, determining target brand, evaluation of brand attributes, gap analysis to determine the goal, and correlation analysis for effective improvement method. A case study is studied in the European market for electric appliances, between a Korean company and other companies. Various statistical tools are used to analyze the phenomena and some important conclusions are derived for effective marketing.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.185-203
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• 2009

The literature reveals that service quality is critical determinants affecting customer satisfaction in the retail industry. Recent online B2C studies also show that service quality significantly influences online customer satisfaction. However, research on analyzing antecedents to determine the service quality level of online shopping has not been sufficiently reported. Moreover, the offline synergy effect on the Internet shopping mall has been presented mostly at a conceptual level. The purpose of this study is to investigate key managerial variables exploiting offline synergy, including pure online attributes, that impact on service quality of the click and mortar Internet shopping mall. A survey was conducted for empirical validation of the hypotheses. The results indicate that core offline synergy factors significantly enhance the perceived service quality level of the Internet shopping mall. Implications, limitations, and future research directions are also discussed.

• Information and Communications Magazine
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• v.11 no.2
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• pp.123-132
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• 1994

For a telecommunication service evolution plan, it is necessary to analyze the types of the communication demands and to estimate the size of the market for each different demand types. In this paper, we classify the basic services in view of the customer needs the complementary services in terms of their functions and also the functional attributes for services, terminals and networks.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.378-390
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• 2010

From the perspective of employees working for public service agencies, we analyzed the causal relationship between service quality, relationship quality, design quality, customer satisfaction, and trust in public services. We conduct statistical analyses on the quality attributes we derived from a critical incident technique(CIT) analysis and build a measurement model, which has a second-order hierarchical structure. Survey data was collected from social work, childcare, and healthcare services. Using a structural equation modeling method, we identify a causal model and simultaneously estimate factor loadings and path coefficients. We find that all the quality dimensions are antecedents to satisfaction and then satisfaction precedes trust. The results show that service quality and design quality mediate in parallel the effect of relationship quality on satisfaction and both relationship and design qualities have stronger effects on satisfaction rather than service quality.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.661-676
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• 2016

Purpose: This study proposes to derive the quality characteristics recognized by the consumer for the smart car. The study contributes to the policy of the country automotive industry. This study confirms the impact on the customer satisfaction from the quality attribute. This study provides the information necessary for the establishment and management strategies of the Korean auto industry. Methods: This study was conducted adequate theoretical research on the subject first. Kano presents a model for the kind of smart car technology. Set the operational definitions for measuring and developing the questionnaire. Subjected to statistical analysis using the collected data, and carry out analysis Kano. It interprets the results of the study on the basis of the data obtained through the analysis. Results: Directly related to safety smart car technology improves customer satisfaction. Conclusion: The quality characteristics are required for user-centric Smart car.