• 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 Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.109-123
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• 2019

Recently, As the desire of consumer gets complexed and demanding, business environment is they are rapidly changing to customer-oriented ones. In order to survive in an age of fierce competition with competitor encompassing changing and customer's needs of consumer company emphasizes market orientation to have a sustainability. It is necessary not only satisfy consumer but also to provide customer delight. We want to see if customer's loyalty can be increased by experiencing C/S and C/D. First, customer's loyalty influences repurchase intention after experiencing customer's satisfaction and customer's delight. Second, customer's satisfaction is influenced by customer's satisfaction level. Especially Joy is one of the most important factor affecting customers delight. Third, customer's loyalty is one of the most important factor affecting customer's satisfaction. Finally, through this study, it was found tha customer's satisfaction and customer's satisfaction improve the repurchase relationship which is crucial from customer's loyalty.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.125-137
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• 2011

This study empirically examined the structural relationships among service quality of internet real estate information web-sites, trust, customer satisfaction and reuse intention. In order to achieve the purpose, survey method was applied using a sample of 293 real estate information web-site users. The results of this study showed that service quality of real estate web-sites had a significant effect on trust and customer satisfaction. And, the trust of web-sites have influenced on customer satisfaction and reuse intention. Finally, the customer satisfaction of estate information web-sites had a significant positive effect on reuse intention.

• The Journal of Information Systems
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• v.14 no.1
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• pp.197-226
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• 2005

Recently, internet as well as internet banking are growing rapidly. Most banks in Korea provide internet banking services for customers. Internet banking became a major trend in the financial marketplace. There are a few empirical research in this area. Although quality of internet banking service is an important concept, there is a lack of theory-based empirical research in this area. Therefore, this paper is aimed at finding whether service quality of internet banking influence customer satisfaction, and whether characteristic of internet banking user influence relationship between customer satisfaction and service quality of internet banking. Furthermore, this paper identify whether customer satisfaction influence customer loyalty. The research model proposed thirteen hypothesis and tested empirically. A total of 269 responses were received from internet banking users and analyzed. The analyses showed partial support for the affirmative effect of customer satisfaction and characteristic of internet banking user. But the relationship between customer satisfaction and customer loyalty is significant. Implications of these findings are that internet banking sites should concentrate on providing a high quality of banking services; information, trust, ease of use, and security of system and thereby strengthen customer loyalty.

• The Journal of Information Systems
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• v.16 no.4
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• pp.107-129
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• 2007

The purpose of this study is to examine the effect of logistics service quality and relationship orientation factors on customer satisfaction and loyalty in the electronic commerce context. Based on extensive review of relevant literature, nine components of logistics service quality(i.e. information quality, ordering procedures, ordering release quantities, timeliness, order accuracy, order quality, order condition, order discrepancy handling and personnel contact quality) and six components of relationship orientation(i.e. trust, bonding, communication, shared value, empathy and reciprocity) are introduced in this study. And a conceptual model is developed and five research hypotheses are empirically examined using structural equation modeling. The findings indicate that logistics service quality and relationship orientation are positively and significantly associated with customer satisfaction, and customer satisfaction is the antecedent variable of customer loyalty in the Internet Shopping Mall. In addition, a significant impact of logistics service quality on relationship orientation of the customer is revealed. Implications of these findings are discussed, and limitations of the study as well as further research directions are addressed.

• Journal of Distribution Science
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• v.19 no.2
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• pp.37-44
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• 2021

Purpose: O2O (Online to Offline) is an internet-based platform. The purpose of this study is to confirm the effect of service quality of O2O food delivery service on service satisfaction, and whether customer orientation mediates the relationship between service quality and service satisfaction. Research design, data and methodology: This paper surveyed Chinese consumers using the O2O food delivery platform through a questionnaire technique. Smart PLS 3.0 was used to verify the hypothesis of this study. PLS is characterized by the advantage of minimizing measurement errors and maximizing the influence of each factor. Results: It was confirmed that O2O food delivery companies need to increase service quality (information quality, product quality, and social quality, system quality) in order to obtain customer satisfaction. Additionally, the perceived customer orientation was found to completely mediate the relationship between perceived service quality (information quality, product quality) and perceived service satisfaction. Conclusions: The service level of the O2O delivery company to the customer's request when a problem occurs in the customer's order must be raised to increase the customer's satisfaction. For example, timely response to customer inquiries and timely feedback of delivery information to customers during the delivery process should improve the quality of after-sales service.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.301-311
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• 2005

This study has conducted to measure the internet banking customer satisfaction using structured equation model. Data was collected by e-mail system. Among survey panel who had experience of using Hanwha-Bank internet banking service, final samples were 2,848 respondents. The results showed that usage convenience and economy factor was most correlated with customer satisfaction. And we found that word-of-mouth behavior was affected customer satisfaction.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.763-774
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• 2006

The purpose of this study is to identify relationship among service quality, service value and customer satisfaction of food service industries. The respondents included 120 customers of K-restaurant in the survey. Data were analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : Service Value was influenced directly and positively by the service quality. And customer satisfaction was influenced directly and positively by the service value. But customer satisfaction was not influenced directly and positively by the service quality.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.324-331
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• 2005

In this paper, we propose a new customer profile model based on customer behavior in Internet shopping mall. The proposed technique defines customer profile model based on customer behavior information such as click data, buy data, and interest categories. We also implement CBCPM(Customer Behavior-based Customer Profile Model) and perform extensive experiments. The experimental results show that CBCPM has higher precision, recall, and F1 than the existing customer profile model.

• The Journal of Information Systems
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• v.14 no.2
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• pp.155-172
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• 2005

Securities companies which faced with severe competition should not only attract new customers but also retain their on-line customers. This study examines the factors affecting loyalty of on-line stock trading customers. The research model based on the previous studies was established and the research hypotheses were generated. The test results based on the data gathered from 87 users of on-line stock trading services show that user satisfaction, learning cost, transaction fees, and reputation influence customer loyalty. User satisfaction, learning cost and reputation are positively related to customer loyalty, whereas transaction fee is negatively related to customer loyalty. The results also support that information quality and system quality are positively related to user satisfaction. The hypothesis that transaction fee is related to user satisfaction is not supported. There is no significant information to say that security risk is related to user satisfaction. It is considered that the study results may help managers to increase customer retention.