Article ID: | iaor20119837 |
Volume: | 22 |
Issue: | 3 |
Start Page Number: | 660 |
End Page Number: | 679 |
Publication Date: | Sep 2011 |
Journal: | Information Systems Research |
Authors: | Tam Kar Yan, Bodoff David, Ho Shuk Ying |
Keywords: | behaviour |
Web personalization allows online merchants to customize Web content to serve the needs of individual customers. Using data mining and clickstream analysis techniques, merchants can now adapt website content in real time to capture the current preferences of online customers. Though the ability to offer adaptive content in real time opens up new business opportunities for online merchants, it also raises questions of timing. One question is when to present personalized content to consumers. Consumers prefer early presentation that eases their selection process, whereas adaptive systems can make better personalized content if they are allowed to collect more consumers' clicks over time. A review of personalization research confirms that little work has been done on these timing issues in the context of personalized services. The current study aims to fill that gap. Drawing on consumer search theory, we develop hypotheses about consumer responses to differences in