• Journal of Practical Engineering Education
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• v.6 no.2
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• pp.111-117
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• 2014

The purpose of this study aims to examine the effects of Career Development Center website users' recognition on contents characteristics (User Convenience, Information, Customer Service) on user responses (User Satisfaction, User Loyalty). According to the research result, first, Career Development Center of website contents characteristics explained 36.4% User satisfaction, it was affected significantly Information, User Convenience, and Customer Service in order. Second, Career Development Center of website contents characteristics explained 36.2% User loyalty, it was affected significantly Information, Customer Service, and User Convenience in order. Thus, it was important that Web site contents was improved the Users satisfaction and loyalty of Career Development Center Web site.

• Journal of information and communication convergence engineering
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• v.3 no.4
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• pp.209-212
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• 2005

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.447-462
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• 1997

Customer satisfaction is one of the major issues in current marketing research. Among many studies on this issue, the best known is the determinants of customer satisfaction. This study is focused the involvement as a moderator of customer satisfaction. The data were collected from 113 students who have an experience using or buying the products and services. The present study found that the customer satisfaction has a relation with the following major characteristics. These are: 1) The direct effect of expectation on the customer satisfaction is significant in case of high involvement service. 2) The direct effect of performance has a difference between high involvement and low involvement. 3) And the direct effect of disconfirmation on the customer satisfaction is significantly different from the levels of involvement.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.2
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• pp.115-135
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• 2008

An interesting problem in capacitated supply chains is how to guarantee customer service levels with limited resources. One of the common approaches to solve the problem is differentiating service depending on customer classes. High-priority customers receive a better service at the cost of low-priority customers' service level. One of common criteria to determine a customer's priority in practice is whether he has made a reservation before arrival or not. Customers with a reservation usually receive service based on the time the reservation was made. We examine the effect this advance information of customer arrival has on customer service levels. We show the trade-offs between the leadtime and other system characteristics such as the proportion of high-priority customers. when the service level is high. We also suggest how to differentiate service using the asymptotic ratio of the service levels for both types of customers.

• Korean Management Science Review
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• v.19 no.2
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• pp.205-220
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• 2002

As the business structure of many industries changes under IT progress and internet economy, the customer information has emerged a key factor in setting up the management policy. The customer has come to replace the product as a central figure in business competition. The domestic life insurance market has also experienced the rapid structural changes in IT time. The competition in the insurance industry to maintain the existing membership and to attract the new members gets stronger under such a new business circumstance. Accordingly, it is necessary for an individual insurance company to develop a systematic marketing plan, based on the customer information, to be competitive in the market. Unlike other studies in which customer characteristics are neglected, this study attempts to utilize the customer information by applying the data mining technique, and then suggests an efficient marketing strategy that could prevail in the competitive business environment.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.3
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• pp.339-348
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• 2007

Since the 1980s, the marketing paradigm has rapidly changed from product-driven marketing to customer-driven marketing. Recently, due to an increase in the amount of information, customer-differentiation strategies have been emphasized more than product-differentiation strategies. This paper suggests a methodology for new customer segmentation and purchase forecasting using changes in customer behavior. This methodology includes a segmentation method for new customers using existing customer's characteristics and a purchase-forecasting system using the purchase-behavior patterns of existing customers. The proposed methodology not only provides differential services from a segmentation system but also recommends differential items from the purchase forecasting system for new and existing customers.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.968-979
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• 2009

The purpose of this study was to examine the relationship between the willingness to adopt mass customization and four proposed characteristics: organizational, individual, technological, and environmental. Retail managers' and consumers' point of view was separately examined to distinguish their characteristics and willingness to adopt mass customization. The sample of this study consisted of 66 managers and 274 consumers in their twenties. The researcher obtained seven findings from the hypotheses testing. The determinants of mass customization adoption were managers' technology and environmental characteristics, and consumers' individual, technology, and environmental characteristics. The most influential variables for the willingness to adopt mass customization were technology characteristics and retailer's customer relationship management process, where customer satisfaction and customer relationships are the top priority in an organization.

• Korea Journal of Hospital Management
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• v.18 no.3
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• pp.1-26
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• 2013

To improve the competitiveness of the hospital provides high quality medical services in a hospital coordinator role is emphasized. This study on customer orientation of the role ambiguity in order to identify the impact of degree of customer orientation were analyzed for demographic differences. Dependent variable, customer orientation affects role ambiguity as independent variables, and regression analysis were set. And the control variables are set to support situational factors, customer orientation on the role ambiguity and hierarchical regression analysis was performed. Obtained through empirical results are as follows: First, according to the demographic characteristics of the hospital coordinator customer orientation, the difference between gender and medical subjects are not shown. Age, education, work experience, job title, and the hospital on the pattern of customer orientation has shown a difference. Second, according to the hospital coordinator role ambiguity about its impact on customer orientation analysis can be a role implementation, job implementation, opinion communication in achieving customer orientation was negatively affected. Third, role ambiguity, and customer orientation factors for the moderating effects of organizational support for the role of customer orientation can role implementation, job implementation, opinion communication was a statistically significant. Fourth, the role ambiguity factors and customer orientation for the administrative support for the moderating effect of customer orientation and role implementation is significant, but job implementation, opinion communication were statistically significant. Fifth, the role ambiguity factors and customer support for customer orientation and customer orientation for the moderating effects of role performance and the opinion communication was not statistically significant. However, job implementation was statistically significant. The limitations of this study are as follows: First, role ambiguity, situational factors and support due to limitations of the variable factors that may affect the customer orientation of a number of factors were excluded. So many exogenous variables in the measurement process can affect. Second, the variables measured as problems of self-assessment by the variable measuring the respondent's bias may occur. Third, This study is difficult to generalize. In other words, several areas of the province conducted by the empirical results of the survey as a limit on the overall generalization can follow.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of the Korean Society of Food Culture
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• v.27 no.2
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• pp.95-104
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• 2012

The purpose of this study was to develop definite and practical marketing strategies for coffee shop managers or preliminary founders through empirical analysis of the effects of desert menu quality characteristics a mainstay of coffee shop-on store choice and revisit frequency. The results of this study are summarized as follows. The results showed that the menu quality characteristics taste, price, hygienic conditions, and health had significant effects on store choice and repurchase frequency through customer satisfaction, whereas originality was rejected due to the lack of menu originality. Both shop choice and repurchase frequency through customer satisfaction were also significant. This suggests that there is a need for the development of a diverse desert menu to increase competitiveness, creation of new customers, and regular customer management.