The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Telecommunication Customer Demand Management
|
|
Author(s): Jiayin Qi (Beijing University of Posts and Telecommunications, China), Yajing Si (Beijing Wuzi University, China), Jing Tan (Beijing University of Posts and Telecommunications, China)and Yangming Zhang (Beijing University of Post and Telecommunications, China)
Copyright: 2009
Pages: 15
Source title:
Handbook of Research on Telecommunications Planning and Management for Business
Source Author(s)/Editor(s): In Lee (Western Illinois University, USA)
DOI: 10.4018/978-1-60566-194-0.ch023
Purchase
|
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.
Related Content
|
Raquel Sánchez Ruiz, Isabel López Cirugeda.
© 2024.
22 pages.
|
|
Rocío Luque-González, Inmaculada Marín-López, Mercedes Gómez-López.
© 2024.
22 pages.
|
|
Bima Sapkota, Xuwei Luo, Muna Sapkota, Murat Akarsu, Emmanuel Deogratias, Daphne Fauber, Rose Mbewe, Fidelis Mumba, Ram Krishna Panthi, Jill Newton, JoAnn Phillion.
© 2024.
34 pages.
|
|
Karen Collett, Alina Slapac, Sarah A. Coppersmith, Jingxin Cheng.
© 2024.
29 pages.
|
|
Maria Ines Marino, Stephanie Tadal, Nurhayat Bilge.
© 2024.
25 pages.
|
|
Jaqueline Naidoo, Noah Borrero.
© 2024.
19 pages.
|
|
Crystal Machado, Tami Seifert.
© 2024.
20 pages.
|
|
|