• Korean Management Science Review
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• v.21 no.3
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• pp.85-99
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• 2004

The retention of customer is an increasingly pressing issue in today's competitive environment. The proposes of this paper is a personalized defection detection and the procedure of prevention based on economic analysis of customer defection possibility, and behaviour state transition cost. This procedure is based on the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behaviour before their eventual withdrawal. In this procedure, the SOM(Self-Organizing Map) is used to determine the possible states of customer behaviour from past behaviour data, and to prevent the defection of potential defectors, the proposed procedure recommends the desirable behaviour state for the next period based on the analysis of transition cost. and likelihood of defection. The case study has been conducted for a Korean on-line game provider to evaluate of this procedure.

• Management & Information Systems Review
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• v.23
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• pp.99-134
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• 2007

In recent years there has been much emphasis on the need for service firms to develop an organizational culture which facilitates the successful implementation of marketing activities. This study examines the relationship among marketing culture, service quality, customer satisfaction, and customer loyalty in fast food service firms. The results of empirical analysis can be summarized by the following: First, marketing culture(employee service quality, interpersonal relationships, selling task, organization, internal communications, innovativeness) had a significant direct effect on service quality. Second, marketing culture(employee service quality, selling task, internal communications) had a significant direct effect on customer satisfaction. It had also a positive, significant indirect effect on customer satisfaction through service quality. Third, service quality had a significant indirect effect on customer loyalty through customer satisfaction. Therefore, the results of the study provide the practical implication for establishment of service firms' marketing strategies, related to marketing culture.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.259-266
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• 2020

In this paper, we propose a novel scheme for product effect analysis, termed PEM, to find out the effectiveness of products used for improving the current condition, such as health supplements and cosmetics, by utilizing online customer reviews. The proposed technique preprocesses online customer reviews to remove advertisements automatically, constructs the word dictionary composed of symptoms, effects, increases, and decreases, and measures products' effects from online customer reviews. Using Naver Shopping Review datasets collected through crawling, we evaluated the performance of PEM compared to those of two methods using traditional sentiment dictionary and an RNN model, respectively. Our experimental results shows that the proposed technique outperforms the other two methods. In addition, by applying the proposed technique to the online customer reviews of atopic dermatitis and acne, effective treatments for them were found appeared on online social media. The proposed product effect analysis technique presented in this paper can be applied to various products and social media because it can score the effect of products from reviews of various media including blogs.

• Journal of the Korean Society of Food Culture
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• v.27 no.3
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• pp.285-293
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• 2012

The purpose of this study was to determine the relationships among food quality, food awareness, customer satisfaction, and revisit intentions of Korean restaurants in Chinese University or College students in the Daegu and Gyeongbuk areas. A questionnaire developed from a literature review included a series of questions about the quality of Korean food, Korean food awareness, customer satisfaction, and revisit intentions. Analysis of the survey data was performed on 234 valid responses. Statistical analyses, including frequencies, factor analysis, reliability analysis and regression, were performed using the SPSS program. The results indicated that food quality perceived by Chinese students had a significant impact on customer satisfaction. On the contrary, food quality according to Korean food awareness by Chinese students did not have a significant impact on customer satisfaction. Further, customer satisfaction had a significant influence on revisit intentions, whereas customer satisfaction according to Korean food awareness did not have a significant effect. In conclusion, food quality is a significant factor in determining the success of the foodservice industry.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.1-18
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• 2023

Recently, as technology development has accelerated and product life cycles have been shortened, it is necessary to derive key product features from customers in the R&D planning and evaluation stage. More companies want differentiated competitiveness by providing consumer-tailored products based on big data and artificial intelligence technology. To achieve this, the need to correctly grasp the required quality, which is a requirement of consumers, is increasing. However, the existing methods are centered on suppliers or domain experts, so there is a gap from the actual perspective of consumers. In other words, product attributes were defined by suppliers or field experts, but this may not consider consumers' actual perspective. Accordingly, the demand for deriving the product's main attributes through reviews containing consumers' perspectives has recently increased. Therefore, we propose a review data analysis-based required quality methodology containing customer requirements. Specifically, a pre-training language model with a good understanding of Korean reviews was established, consumer intent was correctly identified, and key contents were extracted from the review through a combination of KeyBERT and topic modeling to derive the required quality for each product. RevBERT, a Korean review domain-specific pre-training language model, was established through further pre-training. By comparing the existing pre-training language model KcBERT, we confirmed that RevBERT had a deeper understanding of customer reviews. In addition, all processes other than that of selecting the required quality were linked to the automation process, resulting in the automation of deriving the required quality based on data.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.31-42
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• 2020

Objectives: The purpose of this study was to explore how service quality in specialized hospitals influences customer loyalty under the mediating effects of customer trust and customer value. Methods: A statistical review was done based on the survey results of patients who had used a specialized hospital in Gyeonggi Province, South Korea. A total of 209 questionnaires were collected. After data collection, an empirical analysis was performed using SPSS 21.0 and AMOS 21.0 software. Results: Interaction quality (β = 0.254, p < 0.05) and result quality (β = 0.179, p < 0.05) significantly influenced customer trust, while physical environmental quality (β = 0.121, p > 0.05) did not. Customer trust (β = 0.571, p < 0.01) influenced customer value (β = 0.136, p < 0.05) and customer value influenced customer loyalty. In addition, customer confidence (β = 0.668, p < 0.05) was shown to have directly impacted customer loyalty without the mediating effect of customer value (0.078). Conclusions: The findings showed that interaction quality and resulting quality had important implications for customer loyalty. We therefore suggest compliance with appointment times, training to improve work-related skills for employees, improving customer satisfaction, and enhancing communication skills.

• The Journal of Information Systems
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• v.27 no.1
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• pp.89-110
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• 2018

Purpose There is much information in customer reviews, but finding key information in many texts is not easy. Business decision makers need a model to solve this problem. In this study we propose a multi-topic sentiment analysis approach using Latent Dirichlet Allocation (LDA) for user-generated contents (UGC). Design/methodology/approach In this paper, we collected a total of 104,039 hotel reviews in seven of the world's top tourist destinations from TripAdvisor (www.tripadvisor.com) and extracted 30 topics related to the hotel from all customer reviews using the LDA model. Six major dimensions (value, cleanliness, rooms, service, location, and sleep quality) were selected from the 30 extracted topics. To analyze data, we employed R language. Findings This study contributes to propose a lexicon-based sentiment analysis approach for the keywords-embedded sentences related to the six dimensions within a review. The performance of the proposed model was evaluated by comparing the sentiment analysis results of each topic with the real attribute ratings provided by the platform. The results show its outperformance, with a high ratio of accuracy and recall. Through our proposed model, it is expected to analyze the customers' sentiments over different topics for those reviews with an absence of the detailed attribute ratings.

• Management & Information Systems Review
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• v.21
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• pp.189-208
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• 2007

This study was designed to find what impacts store attributes and personal characteristics have had on customer loyalty to beauty shops. Participants were 283 men and women who had experienced services in beauty shops and selected from the Metropolitan area, Busan, Gyeongbuk area, Gyeongnam area, Chungcheong area, and other area. In conclusion, technical factor and lifestyle have had the greatest impact on customer loyalty to beauty shops. In beauty market faced with keen competition, the way to meet customers' needs is to run a distinguished beauty shop with distinct beauty techniques in consideration of individual lifestyle. This will help raise customer loyalty to beauty shops. This study has the important implication that personal characteristics as well as store attributes has been proved to be essential for increasing customer loyalty to beauty shops. I hope that future studies will continue to examine different marketing factors by different beauty shops, with additional analysis on the details, contributing to make a marketing strategy available for beauty shop owners.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.176-183
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• 2021

The purpose of this study is was to analyze customer experience attribute of professional baseball. To achieve objectives of this study, a method was used the in-depth interview and experts' consultation which understanding the attributes and structure of customer experience attribute of professional baseball. As a result, the professional baseball customer experience attributes are 'viewing plan & purchase', 'stadium movement', 'entrance stadium', 'move to seat', 'game viewing', 'amenities/services', 'events/cheering', 'move after match'. The review of the experience section and attributes derived through in-depth interviews with professional baseball fans was verified through an expert' consultation to secure content validity. Through this process, 8 experience section and 41 attributes were analyzed. The customer experience journey was analyzed for a more in-depth analysis of the viewing experience of professional baseball fans. The customer experience journey was presented based on the needs of fans and discomfort in each experience section activity.

• Korean Management Science Review
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• v.27 no.3
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• pp.149-160
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• 2010

This paper focuses on frequent flyer programs (FFPs), which have long been used by most airlines as a powerful marketing tool. Since the preference for FFPs reward services and the customer perceived values of mileage points differ among FFPs members, airlines should design a customer-oriented reward service based on customer preference to motivate the use of mileage points. The intention for using mileage points is affected by various kinds of attributes such as reword items, consuming mileage points for rewards and time of usage. In this paper, we focus on evaluating customer perceived values of attributes of FFPs reward services. A conjoint analysis model is applied to get the preference value of each attribute. Some empirical experiments are conducted in relation to Korean customers. From the empirical survey, the preference values of attributes are evaluated for different scenarios with respect to the number of mileage points. With the preference values of attributes, we can find several implications for airlines regarding the development of various FFPs strategies.