• Culinary science and hospitality research
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• v.15 no.2
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• pp.136-149
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• 2009

The purpose of this paper is to explore the types of failed service and its effect on customer's negative emotions in the restaurant business and their influence on customer's behavior. The study examines the restaurant attributes of failed service in order to determine which variables have the greatest impact on customer's negative emotions and behaviors. To accomplish the purpose of this study, a casual model is developed - which analyzes the main antecedents, moderators and consequences of failed service in the restaurant business. The findings of this study are as follows. 4 types of failed services are found: lack of tangibles, doubt of reliability, unresponsiveness, no expressed empathy. They have an effect on customer's negative emotions(regret and disappointment). And the customer's negative emotions brings out negative behaviors(bad actions, switching brand, protest, negative word of mouth). Customer's regret causes bad actions and switching brand, and customer's disappointment caused switching brand and bad information by word of mouth.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.299-307
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• 2006

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Korean Management Science Review
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• v.20 no.2
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• pp.135-149
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• 2003

Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

• Journal of Fashion Business
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• v.17 no.2
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• pp.136-150
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• 2013

This study investigates the effect of customer emotions on customer evaluation and behavior intention. The subjects used in this study were customers of a fashion shop in Sunchon South Korea. The questionnaires were conveniently sampled from July 2010 to August, 2010. Questionnaire data from 335 customers of a national brand were analyzed through a reliability analysis, factor analysis, and multiple regression analysis. The results of this study are as follows. First, emotions of customer were divided into 2 patterns, positive emotion and negative emotion. Second positive emotion have significant (+) influences on the trust and negative emotion have significant (-) influences on the trust. Third positive emotion have significant (+) influences on the customer orientation and negative emotion have significant (-) influences on the customer orientation. Forth, the emotions of customer have a considerable impact on the interaction intention. And the positive emotion have significant (+) influences on the word-of-mouth intention and negative emotion have not a considerable impact on it. Fifth the positive emotion have significant (+) influences on the attitude toward store and repurchase intention, and negative emotion have significant (-) influences on the attitude toward store and repurchase intention.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.1-14
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• 2006

This study proposed a customer preference estimation model for production recommendation and a method to enhance the performance of product recommendation using the estimated customer preference information. That is, we suggested customer preference estimation model to estimate exactly customer's product preference with his behavior. This model shows the relationship of customer's behaviors with his preferences. The proposed estimation model is optimized by learning the relative weights of customer's behavior variables to have an effect on his preference and enables to estimate exactly his preference. To validate our proposed models, we collected virtual book store data and then made a comparative analysis of our proposed models and a benchmark model in terms of performance results of collaborative filtering for product recommendation. The benchmark model means a prior preference weighting model. The results of our empirical analysis showed that our proposed model performed better results than the benchmark model.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.185-192
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• 2019

The purpose of this study examines the effects of corporate CSR on corporate image, customer satisfaction, and customer citizenship behavior in order to provide implications for CSR. To verify hypotheses, we conducted a questionnaire survey on university students using Apple, Sony, Sharp, and Kyocera mobile phones, and used structural equation model analysis for 294 units. As a result, four factors, economic responsibility, legal responsibility, ethical responsibility and philanthropic responsibility were derived from corporate social responsibility, and all three factors except for ethical responsibility factors were proved to have a positive effect on corporate image. In addition, corporate image has a positive effect on customer satisfaction and customer civic behavior. As an implication, Japanese companies will need to take a systematic approach to CSR to help them understand their CSR and improve the level of CSR they can sympathize with.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.35-46
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• 2019

In this study, we conducted an empirical analysis to examine the effects of corporate cultural marketing activities on customer satisfaction and customer citizenship behavior through positive emotion variables. For this study, we conducted a survey on customers who have experienced cultural marketing activities of companies. The results are as follows. First, among the four factors of culture marketing activities, 'sponsorship','synthesis','style', and other factors excluding 'sales' factors influenced positive emotion. Second, positive emotion have a positive effect on customer satisfaction with products and services. Third, positive emotion affect voluntary customer citizenship behavior. As a result, it can be seen that the marketing activities of companies practicing cultural activities, differentiation of products and services based on culture, and formation of corporate culture emphasizing culture lead to positive emotion of customer. In addition, positive emotion are likely to lead to customer satisfaction with products and services, and furthermore, in order to create common value, it is sometimes possible to lead to customer citizenship behavior that voluntarily perform the same role as the company's spokesperson have. Based on the results of this study, it is necessary for domestic stakeholder to engage in innovative perspectives and ongoing activities based on the essential concepts of cultural marketing to secure customer and build competitive advantage.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.431-442
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• 2002

The purpose of this study was to identify the importance of salesperson selling behavior such as salesperson's orientation, similarity with customers and expertise as well as the relationship benefits of salesperson. A total of 400 questionnaires were distributed to adults in Daegu-Kyongbuk area and 335 questionnaires were collected(84%) and 314 samples were used for the statistical analysis. The primary methods of the statistical analysis were factor analysis, confirmatory factor analysis, correlation and path analysis using LISREL 8. The results are as follows: First, clothings salesperson's customer-orientation(p < .10), expertise, similarity (p< .10) and salesperson's functional, social benefits showed positive relation with customer satisfaction. And salesperson's selling-orientation influenced customer satisfaction of salesperson negatively. In addition customer satisfaction of salesperson showed positive relation with salesperson loyalty and satisfaction of the stores. Second, the salesperson loyalty showed positive relation with store loyalty and word-of-mouth but showed negative relation with post-purchase information search. Customer satisfaction of stores showed negative relation with post-purchase information search but no meaningful relation with store loyalty and word-of-mouth.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.53-62
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• 2020

Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers' behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers' purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers' interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.

• Culinary science and hospitality research
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• v.18 no.5
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• pp.45-62
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• 2012

The purpose of this study is to secure the basic data for the physical environment of an eco-friendly restaurant by surveying and analyzing customer perceptions of the servicescape of an eco-friendly restaurant and to verify the organic causation of the servicescape of an eco-friendly restaurant and customer perceived value, attitude and behavior intention. The samples for empirical analysis were selected from the customers over 20 years who lives in Seoul and Kyung-gi suburbs have experienced visiting eco-friendly restaurant or green restaurant more than once a month. Total 300 copies of questionnaire were distributed for the survey from the second day to the fifteenth day of April for 14 days, and total 264 (88.0%) copies of survey questionnaire except for some questionnaires that had much strong lean tendency or the missing value was discovered. The research results are as follows; when a customer recognizes an eco-friendly restaurant favorably, he or she considers that servicescape plays an important role in deciding perceived value through tangible and intangible perceived values. Since, customer perceived value has a positive effect on attitude and behavior intention, the customer considers as affected on his/her behavior intention when satisfied with the eco-friendly restaurant, which is considered that positive customer attitude will have an effect on behavior intention. Thus, it is considered based on this in-depth analysis result that maintaining and providing servicescape of high standard in the manager's perspective will have a direct effect on ensuring tangible outcomes.