Bidding Strategy Model Based On B2B Group-buying Online Auction Under Fuzzy Demand

Group-buying online auction(GBA),which integrates all buyers' bidding quantities,is a new kind of dynamic pricing mechanisms.It's most important property is that the final trading price is determined by the total order quantity of all buyers without any price discrimination to the low-volume buyers.Therefore,with GBA,it is possible for the low-volume buyers to enjoy the price discount once only reserved for the large-scale buyers. This thesis studies the buyer's bidding strategy under GBA in several different business scenarios covering B2B area based on multi-price level.In this thesis,we propose bidder's optimal bidding strategy under multi-price level which is not only satisfies the buyers' actual demands,but also improves practicability of the decision.The contributions of the thesis are summarized as follows:Firstly,we study bidding strategy on the B2B open group-buying online auction with the certain number of the buyers under multi-price levels.Based on which,our research indicates that compared to the fixed-price,under GBA,every buyer's service level is improved while the benefits of the buyers are not harmed.Secondly,we consider bidding strategy on the B2B open group-buying online auction with the uncertain arrival information under multi-price levels.Since the trading price of GBA is determined by the total order quantity of all buyers,the uncertainty of the number of the buyers will affect the strategies of all traders.Our study indicates that though the arrival information of the buyers is uncertain,GBA also prior to the fixed-price mechanism. However,compared to the certain arrival case,the profits of the traders and the service level of every buyer are reduced,which implies the value of the arrival information.Finally,apply the model and strategies to a case with variation parameters of market environment in order to find the effect on market;compared to supplier and bidders' profits and bidders' bidding quantities under the GBA and the FPM,we validate that the GBA are superior to the FPM.The bidding strategies based on fuzzy demand in this paper,which is more practical, provide fundamental basis for operation of the GBA websites.Therefore,it has great facilitation to the development of the GBA websites.