• Korea Journal of Hospital Management
• /
• v.19 no.1
• /
• pp.21-31
• /
• 2014

This study aimed to find marketing strategy through comparison of internet homepage between national-public hospitals and private hospitals in Korea. A total of 51 hospitals' data were used with frequency, chi-square, t-test, multi-regression, correlation analysis. They were verified by SPSS Ver. 15.0 program. According to the result of this research, national-public hospitals operated more contents of public interests such as social contribution, volunteer work than private hospitals. Otherwise private hospitals operated more contents of costumer interests such as customer counselling, statistical data and cafe of customer voices than national-public hospitals. Synthetically we find that private hospitals try to get closer to the consumer than national-public hospitals. Because feedback and interaction between hospitals and consumer are very important, we suggest that national-public hospitals and private hospitals mutually should operate internet homepage in accordance with consumer needs of medical market.

• Journal of Information Technology Applications and Management
• /
• v.21 no.4_spc
• /
• pp.415-429
• /
• 2014

With the advent of smart devices, users are able to connect to each other through the Internet without the constraints of time and space. Because the Internet has become increasingly important to users in their everyday lives, reliance on it has grown. As a result, the number of web sites constantly increases and the competition between these sites becomes more intense. Even those sites that operate successfully struggle to establish new strategies for customer retention and customer development in order to survive. Many companies use various customer information in order to establish marketing strategies based on customer group segmentation A method commonly used to determine the customer groups of individual sites is to infer customer characteristics based on the customers' demographic information. However, such information cannot sufficiently represent the real characteristics of customers. For example, users who have similar demographic characteristics could nonetheless have different interests and, therefore, different buying needs. Hence, in this study, customers' interests are first identified through an analysis of their Internet news inquiry records. This information is then integrated in order to identify each web category. The study then analyzes the possibilities for the practical use of the proposed methodology through its application to actual Internet news inquiry records and web site browsing histories.

• Korean System Dynamics Review
• /
• v.11 no.2
• /
• pp.103-118
• /
• 2010

To reduce costs in general process, product quality degradation or lack of services are appeared. To improve these problems, dramatical solution of 'Freeconomics (Free+Economics) are discussed. Freconomics means, producers provide their products and services free of charge but they get customer's interests and reputations. Based on these customer's interests and reputations, producers generate profits with other services or related products. In this paper, we discuss about Green IT strategic plan with the management technique of Freeconomics. Green IT is called as Next-Generation growth engine to develop economy, so every country and industry hopes to develop it. With Freeconomcs, customers could get more quickly and much better use the Green IT products. So it is expected to spread of Green IT with Freeconomics as industry, country and customers are all satisfied.

• Journal of the Korea Safety Management & Science
• /
• v.7 no.1
• /
• pp.199-210
• /
• 2005

Customer segmentation prediction has attracted a lot of research interests in previous literature, and recent studies have shown that artificial neural networks (ANN) method achieved better performance than traditional statistical ones. However, ANN approaches have suffered from difficulties with generalization, producing models that can overfit the data. This paper employs a relatively new machine learning technique, support vector machines (SVM), to the customer segmentation prediction problem in an attempt to provide a model with better explanatory power. To evaluate the prediction accuracy of SVM, we compare its performance with logistic regression analysis and ANN. The experiment results with real data of insurance company show that SVM superiors to them.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.793-805
• /
• 2021

Corporate Social Responsibility (CSR) program has become one of the primary concerns of companies worldwide. For many companies, treating the environment and the community well is important to business practice and reputation, and this is reflected in their CSR programs. CSR is a company's obligation to consider the interests of its employees, customers, shareholders, communities, and the environment and to consider the social and environmental consequences of their business activities. CSR plays an important role in relationship building with customers. Thus, the main purpose of this study is to analyze the relationship between customer perception of CSR and customer trust. The model of this study considers two mediating variables, i.e., company reputation and word of mouth to link CSR to customer trust. This study employs a causal survey design. The respondents were 160 consumers who have purchased products and knew about CSR programs of a global food company. Data analysis was using structural equation modeling (SEM) to test the hypotheses. The results of this study revealed that CSR negatively impacts customer trust. Furthermore, CSR positively impacts corporate reputation and word of mouth. Besides, this study found corporate reputation positively impacts word of mouth and customer trust. While the mediating effect of reputation and word of mouth also positively impacts the relationship between CSR and consumer trust. A good reputation and word of mouth could be connecting buyers and enhances the power of suppliers.

• Journal of Information Processing Systems
• /
• v.17 no.1
• /
• pp.163-177
• /
• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.4
• /
• pp.115-136
• /
• 2014

The game industry has grown steadily and the online game has become one of the most attractive game segments for its remarkable growth. Customer management in the online game industry, however, has received little attention from the academic field. The purpose of this study is to analyze the drivers of customer defection in the online game setting and suggest not only theoretical but also managerial insights into increasing customer retention rates. Prior to empirical analysis, the authors hypothesized that 3 variables of interests (Learning, Playing, Achievement) would explain the customer defection according to preceeding researches. To demonstrate these hypotheses, the authors obtained data from one of the biggest game publishers in Korea, and the empirical analysis model was developed considering context of research settings. The results of analyses provide the following insights. First, the key behavioral variables of Learning, Playing, and Achievement play substantial roles in explaining the customer defection. Next, the effects of these variables vary between customer types: novice and experienced customers. The defection decisions by novice customers are predicted by all key behavioral variables and Playing serves as the most influential indicator of the defection decisions. However, experienced customers are influenced by Playing and Achievement, while Learning has no impact on the defection decisions. Finally, the authors investigated hypothetical customer retention strategies, using the empirical results. The market outcomes indicate that the customer retention strategies work well with novice customers and it is hard-to-impossible to prevent experienced customers from defection using their behavioral data. These findings together deliver several meaningful insights to management as follow. First, the management should support customers to get involved in Learning activities at the very first stage. Second, customer's Achievement and appropriate compensation for it would work as defection barriers. Last, to optimize the outcomes of firm's marketing investments, it is better to focus on retention of novice users not experienced ones.

• Culinary science and hospitality research
• /
• v.15 no.4
• /
• pp.131-143
• /
• 2009

There are increasingly interests among researchers to focus on the relations between core benefits and situational variation of hotel restaurants, and make coordination of customer satisfaction and customer loyalty to be more profitable of hotels. This study has investigated how much core benefits were effected by situational variation on customer satisfaction and customer loyalty for hotel restaurants. The result is suggested as follows as explained to test this study. First, core benefits were effected on customer satisfaction and loyalty as significant relationship. Second, situational variation was significantly effected on customer satisfaction and loyalty. Third, customer satisfaction was influenced customer loyalty to be positive relations with satisfaction and loyalty for restaurants.

• Journal of the Ergonomics Society of Korea
• /
• v.23 no.3
• /
• pp.1-12
• /
• 2004

In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

• Knowledge Management Research
• /
• v.13 no.5
• /
• pp.15-41
• /
• 2012

Recently, there has been increasing interests on strategic orientation and intellectual capital as measures of competitiveness and their impacts on firm performance. However, there was little research which verify empirically the relationships among strategic orientation, intellectual capital and firm peformance. This research scrutinizes the effects of strategic orientaion on intellectual capital and firm performance. Based on literature review, research model and hypotheses are developed and empirically tested. The results are as follows. First, market orientaion and entrepreneurial orientation have positive effects on human capital, structural capital and customer capital which compose intellectual capital. Second, market orientaion and entrepreneurial orientation do not influence firm performance directly, but indirectly influence firm performace via intellectual capital. Third, the hypothesis about the relationship between intellectual capital and firm performacne is partially accepted. Only customer capital affects firm performance. Discussions and implications are followed.