Online marketers want to present potential customers with the right information at the right time. Decisions about what information to present are typically made before the customer has visited a web site, using data such as purchase histories and logs of web pages visited (i.e., clickstream data). An alternative approach is to develop predictions about what information to present based on inferences made from cognitive models of the customer. This research presents one approach to collecting and analyzing data that could be used to construct such models. Two studies are presented on how differences in product type may impact customer cognition and browsing behavior. The results suggest that differences in product type may lead to differences in waiting time before making a purchase. Product type may also influence the types of information people consult before making a purchase.
|Number of pages||9|
|Publication status||Published - 2004|
|Event||10th Americas Conference on Information Systems, AMCIS 2004 - New York, United States|
Duration: 2004 Aug 6 → 2004 Aug 8
|Conference||10th Americas Conference on Information Systems, AMCIS 2004|
|Period||04/8/6 → 04/8/8|
Bibliographical notePublisher Copyright:
© 2004, Association for Information Systems. All rights reserved.
All Science Journal Classification (ASJC) codes
- Library and Information Sciences
- Information Systems
- Computer Science Applications
- Computer Networks and Communications