• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.12
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• pp.2453-2461
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• 2009

Faults caused by medium-voltage customers have been increased and enlarged their portion in total distribution faults even though we have done many efforts. In the previous paper, we suggested the fault prediction model and fault prevention method for these distribution line faults. However we can't directly apply this prediction model in the field. Because we don't have an useful program to predict those customers causing distribution line faults. This paper presents the construction method of data warehouse in ERP system and the program to find customers who cause distribution line faults in medium-voltage customer's electric facility management applying data mining techniques. We expect that this data warehouse and prediction program can effectively reduce faults resulted from medium-voltage customer facility.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.451-466
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• 2016

Purpose: This study was to identify customers' demands in railway services system and then to seek the way to satisfy the customer expectations. Methods: We suggest a Quality Function Deployment(QFD)-based approach comprised of three stages. In first stage, SERVPERF survey was carried out to assess current positions of customer expectations in the market. Then, factor analysis was incorporated into SERVPERF to classify customer expectations for the house of quality. In the second stage, the analytic network process was used to prioritize the importance of the customer attributes. Finally, QFD was performed utilizing customer attributes and their weights. Results: The QFD identified the most important customer expectations as: accident prevention, swift reaction to accident, on-time arrivals and departures of the train. It also shows that driving capability, equipment for safety, and training for disaster are the most critical technical requirements. Conclusion: The results are useful for identifying the customers' demands in railway services systems, and they can contribute to the service quality and customer satisfaction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.74-92
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• 2023

The computer system validation consulting industry is growing as domestic GMP companies' overseas exports or advancements increase, and computer system validation has been mandatory in Korea since the 2010s, but domestic CSV consulting companies are small in size and have a short history, revealing many shortcomings in terms of service quality and customer satisfaction when conducting consulting. Research related to consulting has been mainly focused on management consulting and IT consulting, and research related to computer system validation is very insufficient. This study confirmed the effect of consultant competency and service quality on consulting performance, customer satisfaction, and intention to renew contract when performing computer system validation through empirical research on food, pharmaceutical, cosmetics, and medical device companies, which are representative companies in the GMP industry. As a result, it was confirmed that consultant competency and service quality had a significant effect on consulting performance, customer satisfaction, and intention to renew contract. In addition, it was confirmed that the reputation and expertise of consulting companies had a moderating effect on the relationship between consultant competency and consulting performance.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.283-290
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• 2011

According to the rapid evolution of information technology, the salesperson's business efficiency and faster information sharing within the enterprise that need to improve competitiveness has been increasing steadily. In general, many companies has been managed the sales through the ERP system. However, the ERP informations as a result of operating activities can not perform customer maintenance activities from strategic planning. Therefore, a series of sales activities information as corporate intellectual assets is needed strategic business solutions for managing it. In this study, the web-based SFA systems were designed for salesperson. Salespersons improve the efficiency of the business through management and improvement activities of sales information. The systematic customer information management contribute to improving the company's revenue through improved customer service satisfaction.

• Journal of the Korea Safety Management & Science
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• v.4 no.1
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• pp.27-36
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• 2002

This paper describes "the remote automatic diagnosis and repair system which automatically reads the problems such as "out of order" occurred on equipment at customer's equipment from a remote computer center using HTTP(hyper text transfer protocol). It shows the scheme of the network configurations and features of the system. In addition, a way to implement the overall system, the specific functions of unit, and the operational specifications between the center's computer and customer's computer are also presented.also presented.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.243-252
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• 2001

Recently, as most companies recognize the importance of the customer relationship management, they strongly believe that they must know who their customers are. The job of a customer is very important information for us to understand the customer. However, since most customers are reluctant to reveal themselves, they do not let us know their jobs, and even provide false information about their jobs. The target domain of our research is mobile telecommunication. In this research, we developed a system that identifies the customer's job by utilizing the Call Detailed Record. From the Call Detailed Record, we extracted such variables as 'Average Monthly Payment'and 'Age of the Customer'and so forth. Moreover, we generated many summary variables and derived variables such as 'Number of Calls during Work Hours in Weekday', and 'Ratio of Calls from other Mobile Telephone'. Using artificial neural networks, we developed a two-step Job Identification System. In the first step, it identifies the four job classes then in the second step, it subdivides these four job classes into seven jobs. The accuracy of identifying the seven jobs was 69.1%.

• International Journal of Quality Innovation
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• v.9 no.1
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• pp.113-133
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• 2008

In recent years, speedy development of Taiwan's hotel industry intensifies market competition, customers' demands on hotel services quality also increase with the increase of their consumption consciousness, and their demands on hotel types diversify, therefore hotel industry should concern on their unique management services quality brought by their different hotel types. The current designed service system or service transmission process may fail to meet customers' demands owing to emphasizing degree gap in service quality. What is worse, it is difficult for hotel industry to actualize complete customer segregation and to provide customized services, therefore comprehensive understanding of customers' demands on the service quality of different types hotels would contribute to operating management improvement of Taiwan hotel industry. This paper divides Taiwan hotels into three types: international tourism commercial type, holiday type and motel, the general hotels. It studies the emphasize degree gap in service quality between the industry and the customers. Data analysis shows that service quality gap (perceived gap) of hotels of different types exists in several quality aspects; what's more, the perceived gaps, service quality aspects, and its items of different types of hotel are also different. After an integrated analysis, this paper puts forward a general and customer-oriented quality item suitable for hotel industry to shorten the perceived gap of service quality, so that the hotel industry could design a service system and service transfer system, which could meet most lodging customers' demands in the context of pluralized customer sources.

• Asia Marketing Journal
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• v.20 no.1
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• pp.23-48
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• 2018

SK group has been a pioneer in overall brand management and, more recently, in CSR-imbedded brand management. SK vision of "improving itself to give greater happiness to all of its customers" and the symbol mark of "Wings of Happiness" are some good examples of integrating distinct brand identities of various member companies. After impressive growth and expansions into diverse business areas, SK group is ranked as the third largest company based on asset amounts according to the Fair Trade Commission of Korea, only after Samsung and Hyundai Motor groups. SK brand management can be analyzed, using the framework of 4 stages - 'infrastructure', 'planning', 'doing', and 'seeing' stages. In order to secure 'infrastructure' of brand management system, SK has invested huge resources to the 'SK BMS' (SK Brand Management System). At the 'planning' stage, the most important task of SK like other Korean business groups is perhaps to adopt a well-organized 'brand identity (BI) system' which may consolidate brand values of individual member companies. In actuality, SK BI consists of Customer Happiness located at the center and 3 other elements of Pride, Professionalism, and Customer-orientation. At the 'doing' stage, the slogan of 'OK! SK' and the logo of 'Wings of Happiness' have been placed at the core of the SK group brand building programs. SK adopts the principle of 'independent yet united', pinpointing that each member company independently works for its business performance but it is, at the same time, encouraged to integrate its capabilities for the SK group brand. In addition, SK has sought 'shared growth' with business partners for happiness for all the members in the society. 'Social Contribution Philosophy' based on SK value of 'creation of greater happiness' is again one of the most important guidelines for CSR (corporate social responsibility) at the doing stage. At the seeing stage, SK regularly evaluates its branding programs. SK has shown some very impressive achievements in brand management: (1) a core identity of 'Customer Happiness' participating member companies may share, (2) harmonious relationships between the group brand management office and brand management divisions of member companies, and (3) consistency-keeping in brand management over time. However, there remain two major challenges: (1) globalization of SK and (2) reinforcing sustainable superiority over not only Korean rivals but also global ones.

• Journal of Information Technology Applications and Management
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• v.12 no.3
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• pp.41-56
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• 2005

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.520-533
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• 2007

The CRM(Customer Relationship Management) is the business strategy model for higher profits and competitive power of the enterprise in a new business environment. The large-scale customer response service technique uses internet, e-mail, SMS (Short Message Service), Telephony service, DM(Direct Mail) by customer channel point. Recently, business model diversify for new contract and retaining existing customer to the effort for a profitable model of business. This paper is based on Avaya PDS(Predictive Dialing System) model for CRM bond center. If the number of "available" agents are less than the number of inbound channels, then there may be real-time response problems in PDS system implemented. The Organization cannot afford to have many agents in available mode because of the high cost of manpower. This paper provides two contributions to the study. First, we present Call Object Management Mechanism of Customer Channel integration for reduce outbound consulting and reduce CallBack data in the PDS. Second, we design and implement the proposed system. Our simulation results show analysis of old model and proposed model. The proposed model can be efficiently used in Large-scale CRM.