• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.17-27
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• 2012

The purpose of this study is to analyze the perceived service quality according to the characteristics of beauty salons and customer demographics. 343 customers were surveyed in the areas of university campuses, central district and residential areas of Cheongju. The questionnaire consisted of the characteristics of beauty salons and customer demographics, and items to evaluate the service quality. Confirmatory factor analysis, t test, ANOVA and descriptive statistical analysis were used to analyze the data. The results were as follows; First, the preference for the number of designer in the beauty salon were differed by sex, age and occupation. Women, college and graduate students preferred the salons with over seven designers. The customers over forty years old used smaller beauty salon. Second, Female perceived higher service quality in all respects such as technique, kindness and convenience of reservation than male did. There were no difference in age groups and occupations. Third, nationally franchised shop which located in downtown with more than 20 designers were highly evaluated in view of service quality.

• International Journal of Costume and Fashion
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• v.10 no.2
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• pp.73-88
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• 2010

Study aims to identify customer equity drivers and their relative importance, to represent customer lifetime value (CLV) distribution, and to investigate the effect of customer equity drivers and demographics on CLV when shopping apparels at the four big department stores in Seoul. Recently, Korean department stores marked significant decrease in sales volume and it calls for more focus on customer orientation. Customer equity is a managerial concept which considers customers as a valuable asset for business success. Sustainable competitive advantage is attainable when customer equity drivers and CLV are measured, managed and enhanced. results identified four dimensions of customer equity drivers such as 'retail brand equity: 'relationship equity', 'retail service equity', and 'price value equity'. Among them, 'relationship equity' was proved to be the most influencing factor on the customer's store patronage intention. The CLV distribution represented unique characteristics of each department store. The level of CLV depended on such demographics as age and income. Marital status influenced the relationship between perceived customer equity drivers and CLV. It also analyzed competitive structure of the four big department stores in Seoul and offered managerial suggestions. This study provided conceptual framework for the future study of customer equity related to apparel shopping at the department stores as well as managerial implications.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.573-575
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• 2004

This study presents a new customer segmentation method based on features that can predict the customer's buying behavior. In this method, we consider all variables that can affect the customer's buying behavior including demographics, psychographics, technographics, transaction pattern-related variables, etc. We define several features which are the combination of variables with the interaction effect by using C5.0, use SOM (Self-Organizing Map) neural networks in odor to extract the feature's patterns and classify, and then make features' rules using C5.0 far the prediction of customer buying behavior

• Culinary science and hospitality research
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• v.6 no.2
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• pp.135-155
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• 2000

The main purpose of this study is to investigate the factors affecting customer satisfactions toward the italic restaurants of hotels. Especially, the role of menu-related factors is elaborated. Based on the previous research findings, the following hypotheses were proposed and tested. First, customer evaluations of the factors related to the service of italic hotel restaurants wi11 show differences, depending upon demographics. The results found are as follows. Concerning the seasonality and variety of menu, customer evaluations differed by gender. Depending on age groups, customer evaluations differed for the communicative quality of menu, the restaurant atmosphere, the employee service level, and the food taste. By the type of occupations, there were differences in customer evaluations of the communicative quality of menu, the employee service level, and tie food taste. By the education levels, there were differences in the evaluations toward the seasonality and variety of menu, the restaurant atmosphere, the employee service level, and the food taste, Finally. concerning the restaurant atmosphere and the food taste, customer evaluations differed by their income levels. Second, the employee service level, the seasonality and variety of menu, the communicative quality of menu, the restaurant atmosphere, and the food taste are predicted to significantly affect customer satisfactions, My results were consistent with this prediction except for that the communicative quality of menu did not significantly affect customer satisfactions. Regarding the role of menu-related factors in customer satisfactions, my finding implies the importance of updating the menu, providing the variety and reflecting the seasonality. The more studies, however, should be needed to explore the various roles of menu-related factors in restaurant customer satisfactions.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.273-280
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• 2022

The study aimed to determine the impact of societal participation on the customer loyalty of Saudi banks and identify the statistical differences in customer loyalty according to sex, age, education level, and occupation type. The independent variable is corporate societal participation, and the dependent represents customer loyalty. Corporate societal programs have two dimensions: social participation and philanthropic participation. The research population consists of Saudi workers in three sectors: government, military, and private reached 3.58 million people in 2021. The unit of analysis is the Saudi employee in one formal industry and dealing with the Saudi banks that offered corporate societal participation programs. The research used the appropriate stratified sampling method, and the recommended sample size reached 387 respondents. A fully structured questionnaire is used. The study concluded that corporate social programs have not impacted customer loyalty, while corporate philanthropy programs strongly affected customer loyalty. On the other hand, there are no differences in customer loyalty according to demographics (sex, age, education, and occupation type). Finally, the study presents a set of recommendations in the field of corporate social responsibility and develops the local communities.

• Journal of Fashion Business
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• v.18 no.3
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• pp.14-28
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• 2014

The purposes of this study are to provide comprehensive reviews on multichannel consumer behaviors published in peer-reviewed academic journals from 2005 to 2014, to develop a conceptual framework that demonstrates multichannel determinants such as psychographics, demographics, social influences, and situational factors on consumers' search and purchase behavior based on customers' profits or costs judgment, and to provide possible direction for future research in multichannel consumer behavior. Three steps were taken in the process of analyzing consumers' channel determinants presented in the 37 studies, and 12 most frequently used factors that appear in the studies were extracted. These factors include convenience, service, trust/risk, saving money, product knowledge, experience, efficacy/usefulness, involvement, shopping environment/situation factors, demographics, product types, and social influence. With 12 determinants of multichannel consumers' search and purchase behavior, a conceptual framework was proposed based on expectancy theory. The directions for future research were also discussed.

• Korean Journal of Community Nutrition
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• v.9 no.6
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• pp.734-741
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• 2004

The purposes of this study were 1) to understand customers' expectations and satisfaction on menus in family restaurants, 2) to compare customer satisfaction and brand image for positioning new menus, and 3) to analyze customer satisfaction and loyalty to each menu. From May 8th to 28th, 2004, a total of 3,594 membership customers responded to the email survey. Statistical analyses such as t-test, ANOVA and Pearson Correlation were performed using SPSS 12.0. The results of this study consist of four major parts: general findings, customer expectation analysis, new menu positioning and customer satisfaction analysis. The customer expectation analysis discovered that taste was the most expected attribute in menus of family restaurants, followed by quantity, appearance and price. Statistically different expectations existed among different customer groups categorized by their general characteristics including demographics. Also, high correlations existed among the expectations over all the attributes: food quality, shape, quantity and price of food. Over all the attributes, customer expectation was higher than customer satisfaction. Thus, a discrepancy existed between expectation and satisfaction. Positioning of new menus was determined by brand image and customer satisfaction. Lastly, the customer satisfaction analysis revealed that customers in different gender and age have different satisfaction. In addition, high correlation existed between satisfaction and loyalty on new menus of a family restaurant. In consequence, the research findings suggest managers should understand customer expectation and satisfaction and reposition their menus regularly by menu engineering.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Health Policy and Management
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• v.20 no.3
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• pp.1-20
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• 2010

Objectives : This study is purposed to segment dental service markets with reflecting customer's preference and to suggest some marketing strategies applied to each segmented market. Methods : The customer's data collected from a series of online survey comprise such factors as expertise of dentist, courtesy, clinic size, equipment, price and distance, including some socio-demographics. A conjoint analysis and a clustering analysis with estimated coefficients were performed to find out some dental market segments for three dental service types such as dental caries, esthetic treatments and dental implants. Results : Three or four market segments for each dental service type are derived from the analysis, and subsequently market characteristics for each derived segment are explored. Furthermore, some dental marketing strategies for each segment are suggested for better management. Conclusion : A conventional way of developing dental marketing strategies can be improved, while specific customer's preference are responded.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.274-282
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• 2005

Customer retention is one of the major issued in life insurance industry, in which competition is increasingly fierce. There are many things to do to retain customers. One of those things is to be continuously in touch with all customers. The objective of this study is to design the contact scheduling system(CSS) to support the planers who must touch the customers without having subjective information. Support-planers suffer from lack of information which can be used to intimately touch. CSS that is developed in this study generates contact schedule to touch customers by taking into account existing contact history. CSS has a two stage process. In the first stage, it segments customers according to his or her demographics and contract status data. Then it finds typical pattern and pattern is combined to business rules for each segment. We expert that CSS would support support-planers to make uncontacted customers' experience positive.