• 산업경영시스템학회지
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• 제29권1호
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• pp.26-33
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• 2006

The potential needs as well as visible needs of customer should be considered in order to research and analyze of the customer data. The methods to analyze customer data is classified into customer segmentation, clustering analysis model, forecasting customer response probability model, analysis of the customer break rate model and new customer analysis model by the purpose. In this study, we developed the CW-CLV (Correlation Weight Customer Lifetime Value)method that used AHP(Analytic Hierarchy Process)rule for enhance the reliability of customer data and quantitative analysis of the customer segmentation, based on CLV(Customer Lifetime Value). We suggest to new variables and methodology from determined CW-CLV coefficients, because all of companies respect to the diversified customers classification and complexity of consumers needs. Finally, we unfolded any company's scheduling added new methodology using simulation and leaded conclusion about the new methodology.

• 한국조리학회지
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• 제22권6호
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• pp.61-70
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• 2016

The purpose of this study is to identify the effects of a company's response strategies (response type, communication style, and response sincerity) on customer's brand attitude and purchase intentions. A fictional Facebook fan page containing 6 separate scenarios was developed based on actual customer reviews and company responses observed on Facebook restaurant fan pages. Participants were recruited from Amazon's Mechanical Turk (MTurk). A total of 202 responses were obtained; 185 responses were analyzed after deleting insufficient responses. The results of MANOVA found that an accommodative response leads customers to have a more favorable attitude towards a brand and have stronger purchasing intentions. In addition, customers who perceive the company's response to a negative review as sincere are more likely to have a positive brand attitude and purchasing intentions, as compared to those who perceive it as either insincere or neutral.

• 경영과학
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• 제29권2호
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• pp.105-125
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• 2012

As medical service industry is transformed into the market centered on consumers, medical service quality patients recognize is emphasized as the powerful means to ensure competitive advantage among hospitals in the fierce medical markets. Many researches have been done on the definition of medical service quality, developing a scale to measure it, patient satisfaction, hospital repurchase and oral transmission intention, but integrated studies have not been done sufficiently on the patient' cognitive emotional aspects. For these research purposes, based on service relation, service quality, physical surroundings, human services, corporate reputation, service value, emotional response, customer satisfaction and repurchase intention, this paper suggests a theoretical modeling composed of hypotheses on the relations of each theoretical variable. In addition, the moderating effect of service relationships is investigated based on the structural equation model.

• 한국병원경영학회지
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• 제16권1호
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• pp.27-49
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• 2011

This study tried to examine the antecedents of antecedents of trust and customer response at the healthcare service. A total of 230 patient' data were used with a structural equation analysis. They were verified by covariance modeling, using SPSS 18.0 and AMOS 5.0program. Trust is significantly affected by the three factors. Doctors' professionalism and effort of relationship continuity have a positive impact on trust simultaneously. Also, brand reputation have a positive impact on trust simultaneously. But, Trust is not significantly affected by tangibles. And, Trust has a not positive impact on the word of mouth(WOM). Satisfaction has a positive impact on the repurchase and WOM. Repurchase has a positive impact on the WOM.

• 한국병원경영학회지
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• 제13권1호
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• pp.65-83
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• 2008

Although a variety of customer relationship management (CRM) activities have been provided by many hospitals in Korea, there lacks empirical evidence on the effect of CRM. The present study was conducted to examine the effect of CRM in terms of the customer response to CRM in a woman's hospital setting. A total of 380 patients receiving inpatient or outpatient care from woman's hospital between October 25 and November 4, 2005 were surveyed for the degree of their experience of and preference for CRM activities of the hospital by 5-point Likert-type scale. Patients were also asked about the level of customer loyalty to the hospital. Eighteen CRM activities offered by the hospital was classified into 4 types of CRM strategies according to Berry and Parasuranman: price, social, structural, and relationship recovery strategy. There's a significant positive correlation between the degree of experience of CRM and preference for CRM(r=0.49, p<0.001). Regression analysis results showed the significant positive relationship between the degree of experience of CRM and customer loyalty(${\beta}$=0.448, p<0.05). Among the 4 CRM strategies, only social(${\beta}$=0.127, p<0.05) and structural strategy(${\beta}$=0.266, p<0.05) showed signifiant positive relationship with customer loyalty. Overall, the favorable customer response to CRM in terms of preference for CRM and customer loyalty indicates that there's a positive effect of CRM on the continuity of the relationship between patients and health care providers.

• 산경연구논집
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• 제10권7호
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• pp.83-89
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• 2019

Purpose - It is a very important issue for the Korean tourism industry to increase tourism revenue by attracting foreign tourists. Although Japanese tourists have been an important part of the Korean tourism industry for a long time, the level of tourist satisfaction including accommodation has been at the worst compared to other foreign visitors, which strongly requires concrete solutions. Therefore, this study focuses on improving the satisfaction level of Japanese visitors in the use of accommodation, and find out the influence of the managerial response. Research design, data, and methodology - In this study, customer review and managerial response of hotels in Seoul were collected from "Rakuten Travel" which is the most representative online travel agency in Japan. As a result of collecting data from 2016 to 2018, 6,190 customer reviews and 1,241 managerial responses from 120 hotels were used for analysis. In addition, information on the properties of 120 hotels, such as the number of rooms, classification, types of hotel facilities, types of room facilities, accessibility and prices, were collected. To test the hypotheses, moderated multiple regression analysis was conducted with SPSS 22.0. Results - It was found that only 25 sites, 20.8% of the total 120 sites, were implementing managerial response and average response rate was 66.42% among them. As a result of examining the main effects of the hotel attributes on the ratings, accessibility and price are confirmed as effective variables. We also found that the response rate has a significant moderate effect in both the accessibility and price. In other words, there was a significant difference in the influence of accessibility and price on the ratings depending on the response rate. Also, it was confirmed that the response rate is not a pure moderator variable but a quasi moderator variable. Overall, the evidences partially supported the hypothesis. Conclusion - It was possible to provide important suggestions to the hotel managers who were concerned about managing tourist satisfaction with accessibility problems. It was found that the accessibility problem could be overcome by increasing the response rate. It was also confirmed that high ratings can be more effectively achieved for high priced hotels by increasing the response rate.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.197-201
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• 1990

Under the electricity spot pricing, a customer can maximize its profit by adjusting its production schedule. This paper discusses the optimal response of process type customer to the spot pricing. A fast optimization algorithm is proposed. A case study reveals the potential benefits of customer under the electricity spot pricing.

• 품질경영학회지
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• 제46권3호
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• pp.523-538
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• 2018

Purpose: The purpose of this study was to propose useful suggestions by analyzing causal effect relationship between sharing bicycle service quality, customer satisfaction, CSV, and continuos use intention in China. Methods: The collected data through the survey were analyzed using structure equation model analysis. The measurement tools used for this study were divided into four dimensions such as service quality, customer satisfaction, creating shared value, and continuous use intention. Results: The results of this study are as follows; regarding the influence of sharing bicycle service quality dimension on customer satisfaction(reliability and response), it was found that customer satisfaction was not significant on economic value. but it was significant on social value. It was found that social value made statistically significant influence on use intention. Conclusion: Sharing bicycle industry needs to activity of response to customer, and paying attention to view of social value for the sharing economy in the future.

• 한국경영과학회지
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• 제38권1호
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• pp.69-87
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• 2013

Recently a large number of people have been using social networking and microblogging services such as Facebook and Twitter. These mediums play a pivotal communication channel in a business-to-customer (B2C) relationship. Given its importance in today's business, companies have invested in the strategic application of social network services to reach out to customers. This study provides a blueprint for mechanisms for successful execution of social network services in the context of developing an effective B2C relationship, such as customer participation behavior. The S-O-R(Stimulus-Organism-Response) framework lays out the foundation for developing our research model and provides a structured view for understanding customer participation behavior on brand loyalty. For the methodology, this study employed a mixed-method approach. Additionally, in order to provide empirical evidences, a total of 121 respondents have completed the survey. All the data were compiled and analyzed through structural equation modeling and were implemented in partial least square (PLS). To sum up, this study presented theoretical and practical implications by providing the effect of customer participation behavior on brand loyalty through B2C microblogging.

• Asia pacific journal of information systems
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• 제26권1호
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• pp.80-108
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• 2016

Contemporary organizations strive for customer agility through the deployment of digital technologies on customer-focused operations to build enduring customer relationships, with mobile apps being one of its prominent examples. Drawing on prior agility and ECT literature, this study proposes a model to examine customers' view of a firm's customer agility. Our empirical test of conceptual model from data collected in a field study from 128 customers demonstrated that the conceptual model offers good explanation for customers' view of a firm's customer agility through relationships among customer expectations-customer perceived firm's responsiveness-satisfaction. Data were analyzed using PLS, polynomial modeling, and response surface methodology to examine the relationships between customers' digital interactions with the firm, influence of digitized interactions on customer expectations, customers' evaluation of firm's responsiveness, and subsequent customer satisfaction.