Abstract: In the tourism supply chain system composed of hotel and online travel agent (OTA),for OTA  hotel room auction sales,a centralized decision-making model for the hotel and the OTA and a decentralized decision-making model with hotel as the leading and OTA as the follower were constructed,and the optimal decision-making for the hotel and the OTA was given by Backward induction analysis.The results of the study show that the number of hotel rooms sold by the OTA is affected by both price and commission.The increase of sales price and commission will increase the number of the OTA aution.The optimal commission and the optimal auction quantity will  increase with the number of OTA users and the auction duration.Compared with decentralized decision-making,centralized decision-making tourism supply chain system has greater room auction quantity and higher sales price.On this basis,the hotel and the OTA should cooperate with the concept of community of interest to maximize the overall benefits and promote the high-quality development of both sides.

Key words: dual channels, online travel agent, auction, hotel pricing, Stackelberg game