• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.86-92
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• 2008

With the improvement in digital and Internet, the market is changing from a supplier-centered form to consumer-centered one. It is important for companies to accurately understand and offer customer value to cope with such environment. Since customer value exerts great effects on an increase in performance, many companies are doing various marketing activities to create customer value. To create customer value, it is most of all necessary to monitor changes in market environment and customer needs on a continuous basis. Therefore, this study aims at determining how to understand and offer elements of changing customer value through customer monitoring activities to make contributions to better service.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.219-225
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• 2014

Competition between corporations is getting more intense, so they need customer feedback in order to fulfill an effective management. Recently, SNS (Social Network Service) such as Twitter and Facebook has grown dramatically because of smart phones. Social media like Twitter and Facebook let customers to express their needs, and using big data such as data on SNS is a very effective method for getting customer's feedback. Collecting and analyzing social big data are operated by Buzz monitoring system. This research suggests how to utilize big data for getting customer's feedback on hotel CRM(Customer Relationship Management), which considers customer itself as asset of business. This paper demonstrates the research of buzz monitoring system that analyzes big data, and presents results of hotel customer reputation using buzz monitoring system. It would analyze the result from the hotel customer reputation, and research the implication in this paper.

• The Journal of Society for e-Business Studies
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• v.4 no.1
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• pp.21-36
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• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2439-2446
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• 2013

Recently, SNS (Social Network Service) such as Twitter and Facebook has grown dramatically because of smart phones. Since development of IT has created massive information, social big data extremely increased. Competition between corporations is getting more intense, so they need customer feedback in order to fulfill an effective management. Because social big data plays an important role for getting customer feedback, a lot of corporations are interested in analyzing and applying of social big data. Collecting and analyzing social big data is operated by Buzz monitoring system. This paper demonstrates the research of buzz monitoring system that analyzes big data, and presents examples of customer reputation using buzz monitoring. In the paper, after all, it would analyze the result from the customer reputation, and research the implication.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.172-175
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• 2003

The enterprise find a solution to the problems such as a reduction of manufacturing period, accurate analysis for customer demand, improvement for customer service and rise of manufacture accomplishment. Internet is a good solution to such problems. Internet offers WWW(World Wide Web), remote control, file transfer and e-mail service. Among the services, WWW takes large portion because of convenient GUI, easy information search and unlimited information registration. Remote Monitoring Server(RMS) system that uses network service is constructed for chip mounter. Hardware base consists of RMS, chip mounter and C/S(Customer Service) server. Software includes DBMS and various modules in server home page. This provide product number, bad product number, trouble code, content and countermeasure in real-time information module, user information in setup module, detailed error information in fault diagnosis module, fault history in fault history module and customer information in customer service management module.

• Journal of Information Management
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• v.38 no.2
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• pp.175-190
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• 2007

Information on and knowledge of science and technology in the knowledge-based society can be a valuable natural resource and a source of competitive advantage for a country. In addition, in conducting research and developing technologies, information on and knowledge of science and technology is becoming increasingly important and customer's needs are becoming more diverse. This study thus aims to propose appropriate strategies for effectively coping with needs of those customers who use such knowledge and information by actively reflecting a broad diversity of customer' needs and comments. Using such strategies, we developed a standardized and integrated helpdesk system to enhance the quality of customer support and other services, customer monitoring service, and customer satisfaction.

• Journal of Internet Computing and Services
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• v.9 no.1
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• pp.69-78
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• 2008

Finance, Securities, banking system provides information through Internet, DM SMS, IVR, E-mail and FAX for customer. Customers can use multi channel. Enterprise requires Host transaction and transparency for DB processing, This paper provides two contributions to the study. First, we discuss Server of Fire insurance (finance, securities and capital, bank system) in Enterprise. Second, we present Real time monitoring system for customer transparency. Finally, we design and implement the proposed system. These techniques can be efficiently supported in CRM(Customer Relationship Management).

• Journal of Information Technology Services
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• v.13 no.1
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• pp.253-267
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• 2014

This study explores to identify the characteristics of the business model by comparing and analyzing the value creation between two cases, and to be successful in business model innovation. In order for the pursuit of purposes, domestic and international firm' business model cases are analyzed. Regarding the business model innovation, huge differences are found between two cases. First, a clear customer value proposal is important. Netflix is constantly monitoring the customer's needs and satisfactions to improve value proposition, while Joycube, domestic firm does not adjust to meet the change of the customer's behaviors. Second, the business model innovation should be taking into account the customer's behaviors in the constant changing market environments. For the growth, firms should consider strategic monitoring the market environments, and find a novelty of the markets, and to create the jump through business model innovation.

• Journal of Industrial Convergence
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• v.13 no.3
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• pp.57-76
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• 2015

The purpose of this paper is to examine the moderate effects of self monitoring and the ways of thinking on the relationships and the moderate effects of brand credibility and brand attachment on the relationships between the negative information about a brand and the customer attitude holistic and analytic on the relationships between the negative information about a brand and customer attitude. To accomplish these purposes, this research divided negative information about a brand into corporate ability and corporate social responsibility. In addition, research also divided product type into functional product and symbolic product. participants are classified as having Low or High self monitoring. and the ways of thinking divided into holistic and analytic on the relationships between the negative information about a brand and customer attitude. The following are the summary of hypothesis test: (1)the consumers with low(high) level of self monitering are more likely to reveal high level of preference for negative information of corporate ability. (2)the consumers with analytic(holistic) ways of thinking are more likely to reveal high level of preference for negative information of corporate ability. (3)the consumers with low(high) level of self monitering are more likely to reveal high level of preference for functional product. (4)the consumers with analytic(holistic) ways of thinking aren't more likely to reveal high level of preference for functional(symbolic) product.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.59 no.3
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• pp.340-344
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• 2010

In order to achieve purpose of Smart Grids, which is effective use of electrical energy, the safety of electrical installations must be secured. This paper presented real time monitoring and management method for electrical safety of customer electrical installations connected to Smart Grids. And the direction of electrical safety system for the introduction of real time monitoring and management method was suggested. Efficiency improvement of electrical safety management and new supplementary services related with Smart Girds will be available by introducing the presented method.