2004 IEEE International Conference on E-Commerce Technology (CEC'04) (2004)
San Diego, California
July 6, 2004 to July 9, 2004
Jia Zhang , Northern Illinois University
Ning Zhang , Cornell University
Jen-Yao Chung , IBM T.J. Watson Research
This research examines sellers? pricing strategy oriented to bidders? risk preferences, within the context of an electronic auction. A business model is then proposed to predict the probability of potential bidders? risk preference, which sellers can consider to set pricing strategy to maximize their profits. A tailored intelligent auction registry engine is constructed based upon an initial version of our business model. Because the eXtensible Markup Language (XML)-based Simple Object Access Protocol (SOAP) is utilized to support interactions with other resources, our engine is decoupled from the underlying technology choices; therefore, it can be deployed to different platforms.
J. Zhang, N. Zhang and J. Chung, "Assisting Seller Pricing Strategy Selection for Electronic Auctions," 2004 IEEE International Conference on E-Commerce Technology (CEC'04)(CEC), San Diego, California, 2004, pp. 27-33.