Investigating the functionality and performance of online shopping bots for electronic commerce: a follow-up study
by Alexander Serenko, James Hayes
International Journal of Electronic Business (IJEB), Vol. 8, No. 1, 2010

Abstract: Shopping bots are automated software applications that allow consumers to easily search for and compare product prices from online retailers. In a previous project, researchers investigated the functionality and performance of e-commerce shopping bots. The purpose of this project is to test the temporal stability of their findings two years later. Both studies concur that no 'best' shopping bot exists, and all bots often present inaccurate product price and availability information. A positive relationship between the amount of incorrect product information and the number of online vendors was confirmed. Supplemental information provided to users still remains deficient. Differences in product prices were observed.

Online publication date: Thu, 31-Dec-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Business (IJEB):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com