• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.153-174
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• 2010

In this paper we aim to find out consumer behavior based on fish shares in their buying ingredients, path segmentation, product and service quality, customer satisfaction and then we try to analyze the impact of them on each consumer buying behavior. In this study, first, consumers, divided by general merchandise retail store and traditional fish retail store, these also divided by two groups that are with high spending group and low spending group, so totally we have four parts of consumer behavior segmentation market profiles. Second, we analysis the affect of each factor on consumer behavior. That is, we try to analysis the effect of product and service quality on customer satisfaction in four seafood market group. The results of this study are summarized as follows;

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1493-1501
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• 2021

The purpose of this study is to investigate the effect of emotional dissonance and service sabotage on skin experts who have experienced inappropriate customer behavior. To achieve the purpose of the study. 383 skin experts in Seoul and Gyeonggi-do were selected as the subjects of the study. As for the analysis method, frequency analysis, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed, and the following research results were derived through such research procedures. Inappropriate customer behavior showed a positive (+) correlation with emotional dissonance, and emotional suppression of emotional dissonance affects service sabotage.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1866-1877
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• 2008

The purposes of this study were to identify the dimensions of perceived dissatisfaction, complaining behavior, and long-term orientation of customers about the Internet fashion shopping mall, and to empirically examine the effects of each dimension of perceived dissatisfaction and complaining behavior on long-term orientation. For this study, questionnaires were administered to 275 Internet shopping mall customer. To analyze collected data, descriptive analysis, factor analysis, Cronbach's $\alpha$, correlation analysis, and regression analysis were used. Major findings were as follows. First, college students were found to mainly complain of dissatisfaction at product quality, refunding/changing/maintenance repair, price, contract, delivery, and payment after transaction with the Internet shopping mall. Second, customer dissatisfaction was found to have high correlation with complaining behavior and partly with customer neglect or exit. Third, higher customer dissatisfaction was found to increase customer complaining behavior in general. Finally, higher complaining behavior was found to have connection with lower customer loyalty and higher customer neglect and exit.

• Journal of Distribution Science
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• v.16 no.7
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• pp.17-24
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• 2018

Purpose - This study focuses on the quality of nonverbal communication by the flight attendants at the airline, and the factors that contribute to improve customer behavior, thereby providing positive implications for corporate management. Research, design, data, and methodology - For the empirical analysis of this study, reliability analysis and frequency analysis were conducted. T-test and ANOVA analyses were performed. In addition, the effects of nonverbal communication have on customer behavior have regressed analysis. The collected data was empirical suing the SPSS Win 18.0. Results - Among the non-verbal communication qualities were found to significantly influence customer attitudes, and demographic differences in airline flight attendants were also shown to influence their perceptions. Empirical analysis revealed significant differences in demographic characteristics between gender, age and airlines used. Conclusions - All of the non-verbal communication's attributes were found to significantly impact customer attitude. It is used to train the importance of nonverbal communication quality for the role of cabin crew members and to enhance the loyalty of the customers to Airline. This study identifies the relationship between the impact of non-verbal communication quality on customer attitudes and implies the importance of non-verbal communication quality for airline flight attendants. Also, this study suggests that there is a close mechanism between the nonverbal communication and the customer attitudes to airlines.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.49-71
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• 2004

Demand-side Management can be defined as'any utility activity aimed at modifying customers' use of energy to produce desired changes in the utility's load shape'. Customers benefit by being able to control energy costs and improve quality of life and become more productive. Utilities benefit from DSM's value as a resource that enhances asset utilization and reduces both fuel costs and environmental emissions. The scope of DSM includes load management through rate schedules and conservation by improving energy effciency and using electricity consumption effectively. This paper study the DSM resource evaluation and customer behavior analysis todesign the DSM Program plan in response to customer needs. We develop basic system dynamics model to analysis the customer behavior based on a survey research. The DSM Program participants in the Hi- efficiency Inverter, Electric motor and efficient lighting applicancies operating by Conservation program 2002 become the survey objects. DSM resource evaluation evaluate firstt the distribution potentialities of each machine and then forecast the degree of diffusion. We apply the system dynamic approach to simulate the dynamic DSM market situation at the domestic beginning. This model will give the energy Planner the opportunity to create different scenarios for DSM program planning. Also it will lead to increased understanding of the dynamic DSM market

• Korean Management Science Review
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• v.21 no.3
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• pp.55-69
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• 2004

This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.445-453
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• 2002

Past and current customer behavior is the best predicator of future customer behavior. This paper introduces a procedure on personalized defection detection and prevention for an online game site. The basic idea for our defection detection and prevention is adopted from the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behavior (i.e. trim-out their usage volume) before their eventual withdrawal. For this purpose, we suggest a SOM (Self-Organizing Map) based procedure to determine the possible states of customer behavior from past behavior data. Based on this representation of the state of behavior, potential defectors are detected by comparing their monitored trajectories of behavior states with frequent and confident trajectories of past defectors. The key feature of this study includes a defection prevention procedure which recommends the desirable behavior state for the ext period so as to lower the likelihood of defection. The defection prevention procedure can be used to design a marketing campaign on an individual basis because it provides desirable behavior patterns for the next period. The experiments demonstrate that our approach is effective for defection prevention and efficient for defection detection because it predicts potential defectors without deterioration of prediction accuracy compared to that of the MLP (Multi-Layer Perceptron) neural network.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.3
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.1-12
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• 2003

The purpose of this study was to identify importance of salesperson's selling behavior's such as orientation and loyalty. A total of 350 questionnaires was distributed to high school students in the city of Daegu area and 306 respondents were used for the statistical analysis. The primary methods of the statistical analysis employed in this thesis to test the hypotheses were factor analysis, reliability analysis, correlation, and linear regression. SPSS package program was used to analyze the data. The results are as follows：1. Customers felt dissatisfaction at salesperson's selling-orientation and felt satisfaction at customer-orientation when they buy the clothes. The salesperson's selling behavior was connected with customer's satisfaction directly, and was very important to retail market 2. The customer satisfaction of salesperson shows meaningful relation and has influenced on salesperson loyalty as well as customer satisfaction of store. But the customer satisfaction of salesperson has not influenced on store loyalty. 3. The customer satisfaction of store shows meaningful relation and has influenced on store loyalty, but not on salesperson loyalty. 4. The salesperson loyalty shows meaningful relation with and has influenced on store loyalty. The more salesperson loyalty increases, the more store loyalty increases. Accordingly, it is concluded that the future success of firms and retailers depends on the quality of the relationship between customers and salespersons.

• The Korean Journal of Franchise Management
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• v.8 no.2
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• pp.5-16
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• 2017

Purpose - This study empirically analyzes the effects of social responsibility activities (legal, charitable, environmental, ethical) of franchised chain hotels on customer value and SNS citizenship behavior. Furthermore, this study examines mediating role of customer value on SNS citizenship behavior. Design, data, and methodology - A survey was conducted on customers residing in Korea who had visited the franchised chain hotels in Seoul, Gyeonggi, and other regions, over a period of three months (from October 1, 2016 to December 31, 2016). There were a total of 426 valid samples, and the hypotheses were tested through hierarchical analysis. Results - First, among the social responsibility activities of franchised chain hotels, all four factors of legal, charitable, environmental, and ethical responsibilities had a statistically significant positive effect on customer value. Second, among the social responsibility activities of franchised chain hotels, all four factors had a statistically significant positive effect on SNS citizenship behavior. Third, customer value had a statistically significant positive effect on SNS citizenship behavior. Conclusions - Since social responsibility activities are utilized as a means of direct marketing, for creating and selling images of products and services of franchised chain hotels, it is necessary to become a fixed form of corporate culture.