Telecommunication Customer Demand Management

Author:

Qi Jiayin1,Si Yajing2,Tan Jing1,Zhang Yangming3

Affiliation:

1. Beijing University of Posts and Telecommunications, China

2. Beijing Wuzi University, China

3. Beijing University of Post and Telecommunications, China

Abstract

In the highly competitive environment, the real-time and dynamic customer demand analysis technology is required by the enterprise information systems in order to respond to customer demand efficiently and automatically. Based on a customer value hierarchy model, this chapter proposes a customer demand analysis method and proposes ways to capture customer demand knowledge. Then, we present a novel product recommendation approach, which involves the customer value hierarchy model into traditional recommender systems. Through the above steps, the telecom operators can get their customer demand and respond to their demand automatically.

Publisher

IGI Global

Reference22 articles.

1. Boulton, R., Libert, B., & Samek, S. M. (2000). Cracking the Value Code: How Successful Businesses Are Creating Wealth in the New Economy. Harper Collins Publishers Inc, New York.

2. Burs, M. J., & Woodruff, R. B. (1991). Value: An Integrative Perspective. Proceedings of the Society for Consumer Psychology, (pp. 59-64).

3. Chai, H. Z. (2006). Personalized Information Recommendation Service. Journal of information, 9, 118.

4. SODPM: A sequence-oriented decision process model for unstructured group decision problems

5. Inoue, A., Takahashi, S., & Nishimatsu, K. (2003). Service Demand Analysis Using Multi-Attribute Learning Mechanisms. KIMAS, IEEE, (pp. 634-639).

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