Bidding Decision on Open Group-buying Online Auction Based on Multi-price Levels

Author

Bai Xiao-hong ; Deng Gui-shi

Author_Institution

Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian

fYear

2008

fDate

27-28 Dec. 2008

Firstpage

247

Lastpage

250

Abstract

Group-buying online auction (GBA) is a new kind of dynamic pricing mechanisms. Most of researches on the GBA focus on B2C, and the researches under the B2B just focus on two-price levels without considering multi-price levels. To solve this problem, this paper analyzes the bidderpsilas optimal decision with the case that each bidder bids independently based on the B2B open group-buying online auction, with which, the seller will sell products to the bidders with the certain arrival information, and obtains the bidderpsilas optimal bidding decision based on the idea of newsboy model. Compared to the bidding decision under the fixed price, the bidderpsilas optimal bidding decision with certain arrival information under multi-price levels is much better.

Keywords

electronic commerce; pricing; bidding decision; dynamic pricing mechanisms; multi-price levels; newsboy model; open group-buying online auction; Costs; Information analysis; Pricing; Stochastic processes; Systems engineering and theory; Group-buying; bidding strategy; multi-price levels; uncertain arrival information;

fLanguage

English

Publisher

ieee

Conference_Titel

Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on

Conference_Location

Hong Kong

Print_ISBN

978-0-7695-3484-8

Type

conf

DOI

10.1109/WMSO.2008.8

Filename

4756999