• IE interfaces
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• v.25 no.1
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• pp.142-152
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• 2012

Recently, the postal service encounters the various changes in the overall mail environment including the reduction of letter volume, keen competition of the private parcel service and EMS, diversification of customers' demand and etc. In this environment, Korea Post is considering new concept of postal service in order to provide the mail service based on informatization and automation to a client and secures the predominance in competition. We analyze the current environment of postal service for applying the gCRM (Geographic Customer Relationship Management). We propose some possible application fields and present an efficient phased application plan for each field.

• Korean Institute of Interior Design Journal
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• no.37
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• pp.63-70
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• 2003

Housing market in korea has changed from seller's market to buyer's market since mid of 1990. The housing contractors also changed their conventional ideas and strategies of design of housing facilities in order to survive in the housing industry, They look for ways and means to better respond to client's needs and to better serve user's values. Recently customer relationship management(CRM) technique has been introduced in the housing business. CRM gives emphasis on ongoing relationship with customers. Housing cultural center is a place where customers and contractors can exchange informations. This study aims to extract design and operation issues of housing cultural center.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.81-88
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• 2009

Many studies and policies are suggested for customer satisfaction to survive in multimedia content service markets. there are policies like a segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM. The problem of this policy is fixed allocation of media server resources. It is inefficient for costly media server resource. To resolve the problem and enhance the utilization of media server resource, the ACRFA (Adaptive Client Request Filtering Algorithm) was suggested per cluster to allocate media server resources by flexible resource allocation method.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.1
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• pp.105-124
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• 2007

CRM (Customer Relationship Management) becomes a crucial paradigm as the environment of the market changes. About the CRM actively maintaining and managing customers that have been already acquired, the research has been done as a plan to lure loyal customers who bring lucrative profits in the long term for the company in order to increase the value to the customers. However, in practice, the focus is on putting spurs to attracting new customers in a short term rather than retaining existing customers who give profitable revenues. If the company puts high emphasis on drawing the new customers, in a CRM's point of view in relation to the value of the customers, it can incur a loss in the long run. The reason is that if the firm conducts discriminative sales promotion, the existing clients with high loyalty will feel relatively treated inappropriately and they will have negative feelings such as being betrayed from the company they prefer. This occurrence of negative emotion can in-crease the possibility of highly profitable clients' secession. In consequence, this paper focusing on the process of the client segmentation at the mobile telecommunication services shows that the sales promotion strategy for the new customer attraction can lead to negative effect on the loyalty of the existing customers.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.461-470
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• 2005

This paper suggests a new policy for consolidating a company's profits by segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM, which is mainly applied to marketing. In this case, CRM refers to the strategy of consolidating a company's profits by efficiently managing the clients, providing them with a more effective, personalized service, and managing the resources more effectively. For the realization of a new service policy, this paper analyzes the level of contribution $vis-\acute{a}-vis$ the clients' service pattern (total number of visits to the homepage, service type, service usage period, total payment, average service period, service charge per homepage visit) and profits through the cluster analysis of clients' data applying the K-Means Method. Clients were grouped into 4 clusters according to the contribution level in terms of profits. Likewise, the CRFA (Client Request Filtering algorithm) was suggested per cluster to allocate media server resources. CRFA issues approval within the resource limit of the cluster where the client belongs. In addition, to evaluate the efficiency of CRFA within the Client/Server environment the acceptance rate per class was determined, and an evaluation experiment on network traffic was conducted before and after applying CRFA. The results of the experiments showed that the application of CRFA led to the decrease in network expenses and growth of the acceptance rate of clients belonging to the cluster as well as the significant increase in the profits of the company.