Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data mining: building competitive advantage
Data mining: building competitive advantage
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
Mining inter-organizational retailing knowledge for an alliance formed by competitive firms
Information and Management
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
What drives mobile commerce? An empirical evaluation of the revised technology acceptance model
Information and Management
A review for mobile commerce research and applications
Decision Support Systems
Value-based Adoption of Mobile Internet: An empirical investigation
Decision Support Systems
Searching customer patterns of mobile service using clustering and quantitative association rule
Expert Systems with Applications: An International Journal
Exploring m-commerce in terms of viability, growth and challenges
International Journal of Mobile Communications
International Journal of Mobile Communications
A roadmap for research in mobile business
International Journal of Mobile Communications
Accelerating customer relationships: using crm and relationship technologies™
Accelerating customer relationships: using crm and relationship technologies™
Towards an understanding of the behavioral intention to use 3G mobile value-added services
Computers in Human Behavior
Expert Systems with Applications: An International Journal
Classifying the segmentation of customer value via RFM model and RS theory
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan
Telecommunications Policy
Electronic Commerce Research and Applications
Understanding consumer acceptance of mobile payment services: An empirical analysis
Electronic Commerce Research and Applications
An empirical analysis of factors influencing users' adoption and use of mobile services in China
International Journal of Mobile Communications
IEEE Transactions on Neural Networks
Mobile phone customer retention strategies and Chinese e-commerce
Electronic Commerce Research and Applications
| Hi-index | 0.00 |
As the profit margins of 3G mobile network operators gradually decline, and market competition becomes increasingly intensive, they must develop rich and diverse varieties of brand new application services to attract new subscribers and retain old ones. Understanding the customer's purchasing behavior is a key issue in this process. The operator must accurately grasp movements in the market based on analysis of the behavior of 3G subscribers. This study proposes a comprehensive customer relationship management strategy framework to furnish a beneficial plan to overcome such challenges. First, we propose a new model to identify who are the high-value customers related to the characteristics of new telecommunication services. After segmenting the customers, we propose a procedure to provide different kinds of usage analysis, including inter-cluster analysis and intra-cluster analysis. The experimental results are determined based on rules extracted from a large number of call detail records generated by the mobile subscribers of leading 3G mobile system operators in Taiwan. The dependency network demonstrates the relationship between voice services, data communications, message services, micropayments and entertainment. Finally, we propose some marketing recommendations for 3G system operators based on these interesting rules.