• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.1-10
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• 2024

For the purpose of predicting credit card customer churn accurately through data analysis, a model can be constructed with various machine learning algorithms, including decision tree. And feature importance has been utilized in selecting better input features that can improve performance of data analysis models for several application areas. In this paper, a method of utilizing feature importance calculated from the MDI method and its effects are investigated in the credit card customer churn prediction problem with classification trees. Compared with several random feature selections from case data, a set of input features selected from higher value of feature importance shows higher predictive power. It can be an efficient method for classifying and choosing input features necessary for improving prediction performance. The method organized in this paper can be an alternative to the selection of input features using feature importance in composing and using classification trees, including credit card customer churn prediction.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.5
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• pp.922-931
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• 2015

To investigate and analyze the influence of trust on consumer satisfaction in rice cake cafe menus using domestically grown food ingredients, this study divided selection attributes of rice cake cafe menus into safety, nutrition, ethicality and marketability through an exploratory factor analysis and analyzed reliability and correlation among these variables. As a result, these four factors were adopted as selection factors, and the results of the correlation analysis among the variables showed that the four factors were statistically correlated with trust and customer satisfaction. The result of validity and reliability testing on consumer trust showed that the menus were reliable and trustworthy as they had been made using domestically grown agricultural products. Analysis of how cafe selection attributes affect trust showed that the these variables had a significantly positive influence on trust in the order of safety, marketability, nutrition, and ethicality. The influence of the selection attributes on customer satisfaction was statistically significant, and the independent variables had a significantly positive influence on trust in the order of marketability, ethicality, safety, and nutrition. In verifying the mediation effect of trust on customer satisfaction, the four factors of rice cake cafe selection attributes had statistically significant mediation effects.

• The Journal of Information Systems
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• v.17 no.2
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• pp.137-154
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• 2008

Customer Relationship Management (CRM) is indispensable for companies in recent business environment, in which the customers are recognized as more valuable asset to increase the earning power of enterprise. For gaining competitive advantage, most companies want to maintain existing customer relationships and generate more profits with customers through long-term relationships. In this study, we developed the models which are designed to select CRM systems in financial institution, which is one of competitive sectors and undergoes rapid changes due to M&A(Merger and acquisition), innovation and reengineering in Korea. The selection model of CRM systems for financial institution was developed utilizing the Analytic Hierarchy Process (AHP) and the expert's knowledge were built up of three groups; researcher group, developer group, and user group. We found that there are significant deferences for the weights of criteria in our selection model according to the kind of experts. This study provides helpful guidance on how to assign appropriate weights to each criteria in selection models when financial institution introduce the CRM systems.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.221-235
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• 2015

The purpose of this study is to provide evidence concerning the effects of selection attributes of bakery cafe and customer behavior intention through empirical analysis. Current study literary supported by previous studies that conducted to concepts such as selection attributes, customer behavioral intention, and based on research result, devised theoretical model combining each relation. For the empirical study, in addition, data were collected from customers who have been visited at bakery cafe located in Seoul, Busan, Gwangju, and Daegu. Total of 312 valid questionnaires are statistically analyzed to achieve the study objective. Frequency analysis, factor analysis, cross analysis, cluster analysis and ANOVA test were employed for statistical examination. Results show that bakery cafe marketers need to allocate resources of cafe by considering different attributes selection factors. Present study will be contributed to develop strategical implications to determine which selection attributes should be emphasized to attract more customers and to satisfy bakery cafe visitors.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.60
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• pp.83-89
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• 2000

As customer's needs change rapidly in recent days, the evaluation scale about service quality is changing against the variation of the customer's needs. It is fact that the need of change which established evaluation ways about service quality rise more and more. 6-Sigma activity, called "most innovative management strategy in 20th Century", have many problems apply to service company. The important one between these problems is the problem about Critical To Quality(CTQ) Selection caused from the absence of more precise evaluation system. The objective of this study is the development of methodology for CTQ selection coincide to service company. It is the basic logic that the way to regard MOT mainly effects about total customer satisfaction index(CSI) as CTQ, after the development of the evaluation system based on MOT with customers. Also, the study focused on the case of department store progress to exhibit the reasonableness of this logic.

• Korea Journal of Hospital Management
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• v.23 no.4
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• pp.1-14
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• 2018

Purpose : Customers with loyalty are very important to hospitals for sustainable growth in their medical market. Individuals with loyalty are likely to visit same hospital repeatedly when they need medical services. This study was to identify factors associated with selection of specialty hospitals among customers with loyalty. Methods : The subjects of this study were 735 inpatients in 22 specialty hospitals in 6 designated fields(joints, spine, colorectal-anal, obstetrics and gynecology, ophthalmology, otolaryngology). Customer types classified as customers with high loyalty, neutral customers, and customers with low loyalty according to net promoter score(NPS). Factor analysis was conducted to classify 22 hospital selection factors into some similar properties. Logistic regression analysis was conducted to confirm the selection factors related to loyal customers. Findings : Most of specialty hospitals received high NPS of 8 points or higher in all the designated fields. Five factors associated with selection of specialty hospital are (1) hospital facilities and convenience, (2) trust in doctor and hospital, (3) rapidness of treatment, (4) hospital awareness, and (5) accessibility. As a result of logistic regression analysis, selection factors related to loyal customers were 'hospital facilities and convenience', 'trust in doctor and hospital' and 'rapidness of treatment'. Differences in the degree of importance of three selection factors by customer types appeared for each designated field. Practical Implications : This study confirms the high level of patient experience among inpatients of specialty hospitals. Factors associated with selection of hospital among inpatients with loyalty are 'facilities and convenience of hospitals', 'trust of doctor and hospital' and 'rapidness of treatment'. This study will be meaningful as basic data to systematically enhance the roles and functions of the health care system and to provide securing competitiveness according to designated fields in the management aspect of specialty hospitals.

• The Journal of Economics, Marketing and Management
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• v.9 no.6
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• pp.39-51
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• 2021

Purpose - The current study conducted research on influential relationship of Korea's selected attributes of home replacement foods (HMR) with trust, customer satisfaction, and repurchase intention. Design, data, and methodology - This study was conducted on consumers in Seoul and the metropolitan area (Gyeonggi and Incheon) who have purchased home replacement foods (HMR). The survey was conducted for 30 days from March 1^st, 2021 to March 30^th, 2021. Among total of 300 surveys distributed, 250 surveys were collected, and 199 surveys, excluding ones with missing value and outliers (51 surveys), were used for analysis. Results - The results empirical analysis based on earlier studies are as follows. First, as a result of analyzing which variables of selection attribute factors of home replacement food (HMR) have an effect on trust, healthiness, reasonable price, and convenience had a positive effect, and quality of food and diversity did not have a significant effect. Second, as a result of analyzing whether trust has a significant effect on customer satisfaction, it was found that it had a positive effect on customer satisfaction. Third, as a result of analyzing whether trust has a significant effect on repurchase intention, it was found to have a positive effect. Fourth, as a result of analyzing whether customer satisfaction has a significant effect on repurchase intention, it was found that customer satisfaction had a positive effect. Conclusions - The current study aims to develop various new products of HMR and establish differentiated marketing techniques tailored to consumer needs.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.79-91
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• 2010

The purpose of this study is to investigate selection attributes of Korea and China restaurants in China. By a convenience sampling method, total 479(245 China restaurants and 234 Korea restaurants) useable data were selected. Multiple statistical methods(factor analysis, reliability analysis, T-test, multiple regression) were used to analyze the data. The results are as follows: First, restaurant satisfaction is affected by selection restaurant attribute factors. Second, restaurant satisfaction bas a significant impact on customer loyalty. Third, Korea and China restaurants have differences in customer satisfaction. Fourth, Korea and China restaurants have differences in customer loyalty.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.171-185
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• 2014

This research investigates the causal relationships between the selection attributes of coffee shops and customer value and revisit intention. To do this, the statistics programs SPSS 18.0 and AMOS 18.0 were used targeting 218 college students from three universities (K, D, Y) in the Busan area. Frequency analysis, explanatory factor analysis, confirmatory factor analysis, correlation analysis, and structure model analysis for hypothesis verification were conducted to analyze the data. Based on the results of exploratory factor analysis, five factors were drawn as quality of coffee, indoor environment, service, discount, and brand. Model fidelity and validity was confirmed by implementing the confirmatory factor analysis. In addition, results of structure model analysis confirmed partial relationships among the selection attributes of the college students regarding coffee shops, customer value, and revisit intention. Furthermore, a positive relationship between customer value and revisit intention was also confirmed. Thus, this research suggests that coffee shop managers should manage in a way that customers may acknowledge the value of the expenses they pay.