Design and Implementation of Channel Server Model for Large-scale Channel Integration

Yong-Wan Koo; Yun-Ki Han

Design and Implementation of Channel Server Model for Large-scale Channel Integration

Yong-Wan Koo, Yun-Ki Han, Journal of Internet Computing and Services, Vol. 10, No. 1, pp. 123-134, Feb. 2009
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Keywords: Customer Response service, fault-tolerant, Real-Time, CRM

Abstract

The CRM(Customer Relationship Management) is a business strategy model which can reap higher profits and can provide a competitive edge to an enterprise in today's new business environments. Early next year (2009), the Capital Market Consolidation Act will be in effect in South Korea. This is required for a qualitative growth to provide QoS (Quality of Service) and ensure growth in finance, IT industry & service. Accordingly, the securities and insurance companies, banks and other financial institutions make efforts to improve their derivative financial product and also enhance their services. In this paper we design and implement a Channel Server model for a Scalable Service Channel Server to efficiently manage the high volumes of inbound customer interactions based on the requirements of a CRM center. The proposed Scalable Service Channel Server supports integration with other third party service and standardization of multiple inbound service channels. The proposed model can be efficiently used in an inbound CRM center of any banking, finance, securities and insurance establishments.

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Cite this article

[APA Style]

Koo, Y. & Han, Y. (2009). Design and Implementation of Channel Server Model for Large-scale Channel Integration. Journal of Internet Computing and Services, 10(1), 123-134.

[IEEE Style]

Y. Koo and Y. Han, "Design and Implementation of Channel Server Model for Large-scale Channel Integration," Journal of Internet Computing and Services, vol. 10, no. 1, pp. 123-134, 2009.

[ACM Style]

Yong-Wan Koo and Yun-Ki Han. 2009. Design and Implementation of Channel Server Model for Large-scale Channel Integration. Journal of Internet Computing and Services, 10, 1, (2009), 123-134.