Unused relevant information in research and development
Journal of the American Society for Information Science
Cyberspace 2000: dealing with information overload
Communications of the ACM
Towards an optimal resolution to information overload: an infomediary approach
GROUP '01 Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work
CHI '00 Extended Abstracts on Human Factors in Computing Systems
The Role of the Management Sciences in Research on Personalization
Management Science
User interface features influencing overall ease of use and personalization
Information and Management
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
Automatic construction of personalized customer interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
Determinants of customer loyalty in the wireless telecommunications industry
Telecommunications Policy
Collaborative Filtering Using Dual Information Sources
IEEE Intelligent Systems
Journal of Management Information Systems
Journal of Management Information Systems
Satisfaction with Internet-Based Services: The Role of Expectations and Desires
International Journal of Electronic Commerce
What, Who and Where: Insights into Personalization
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
International Journal of Electronic Commerce
Multidimensional credibility model for neighbor selection in collaborative recommendation
Expert Systems with Applications: An International Journal
Consumer perception of interface quality, security, and loyalty in electronic commerce
Information and Management
Influences of customer preference development on the effectiveness of recommendation strategies
Electronic Commerce Research and Applications
Mobile phone customer retention strategies and Chinese e-commerce
Electronic Commerce Research and Applications
Team participation and online gamer loyalty
Electronic Commerce Research and Applications
Electronic Commerce Research
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Personalization is a strategic tool for product or service differentiation, especially when competition is keen in the market. Many personalization strategies have been developed and realized with this in mind. Little is known about the impact of different personalization strategies, regarding different personalization dimensions on customer retention, however. This has resulted in a lack of consensus on how best to design personalization strategies. To address the related issues, this study identifies the dimensions of personalization, and investigates the effect of each dimension on customer retention. It does so by implementing actual personalization systems corresponding to two factorial design experiments involving 372 participants. Multiple analysis of covariance reveals the effectiveness of each dimension and interactions among them. This study consequently proposes the optimal combination of personalization dimensions that leads to customer satisfaction and loyalty.