Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
Frictionless Commerce? A Comparison of Internet and Conventional Retailers
Management Science
The Role of the Management Sciences in Research on Personalization
Management Science
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
On the Depth and Dynamics of Online Search Behavior
Management Science
IEEE Transactions on Knowledge and Data Engineering
Special Section: Customer-Centric Information Systems
Journal of Management Information Systems
Theoretical views on the potential shopper response to RFID item tagging
International Journal of Business Information Systems
Measuring the coverage and redundancy of information search services on e-commerce platforms
Electronic Commerce Research and Applications
Goal attainment on long tail web sites: An information foraging approach
Decision Support Systems
Hi-index | 0.00 |
The continuous growth of e-commerce makes it critical for firms to understand consumers' search behavior so that e-commerce Web sites and the underlying information systems can be designed to better cater to consumers' needs. This paper extends the classic search model to analyze online consumer search behavior. The analytical results suggest how consumers' search depth is influenced by a variety of factors such as search cost, individual consumer difference, and product characteristics. Evidence is provided using clickstream data of online searches and purchases of music CDs, computer hardware, and airline tickets during the period from July 2002 to December 2002 collected by an Internet marketing company, ComScore Inc. Compared with the search depth reported in previous works, this study finds that consumers are searching more intensely before purchasing online. This reflects the evolution of Internet users and the growth of online retail business.