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

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.