Research on pricing mechanism of data products based on game theory

At the beginning of the formation of the online data trading market, the value recognition of a data product and the transaction are often inseparable from the online game process between the buyers and the sellers. This research focuses on the study of the online efficient pricing mechanism of the whole life cycle of the data product, and on this basis focuses on the formation mechanism of two types of prices. First, it involves the internal benefit distribution of the supply side, and the production and circulation of data products are jointly completed by multiple parties. In this paper, the cooperative game model which of data resource providers, data derivative processors and data exchange platforms is built, and the benefit distribution mechanism based on Shapley value method is designed. The calculation proves the rationality and feasibility of profit distribution. The second is the determination of the transaction price of data products on the supply side and the demand side. This paper designs a set of two-stage online bargaining mechanism. The first stage is the bargaining of the value dimension factor, the second stage is the bargaining of pure price, and both stages can set multiple rounds of dynamic game according to the actual situation of the transaction.