基于密封拍卖机制的数据资产定价模型研究OA

Data asset pricing is jointly affected by three factors:the transaction subject,the transaction object and the transaction mechanism.This study comprehensively considers the characteristics of the data transaction subject and object,constructs the entity credit factor(ECF)and data quality factor(DQF)to make a comprehensive evaluation.On this basis,the study designs a comprehensive price sealed-bid auction data asset pricing model based on the(k+1)-th price rule integrating the ECF and the DQF.The model has been demonstrated to possess the qualities of dominant-strategy incentive-compatible(DSIC),individual rationality(IR),and maximization of social total welfare.To a certain extent,the model can enhance mutual trust,stimulate real bids,prevent collusive behavior and optimize the market environment,serving as a reference for the practice of data asset pricing and trading.