Investment Strategy and Evolution Analysis on Value-Added Service of Logistics Information Platform

In order to improve the competitive advantage of logistics information platform, in view of the evolutionary relationship, the investment strategy of the value-added service offered by the platform is explored. Firstly, the user utility function and platform profit function are established by analyzing the user behavior features under difference strategies. Secondly, the investment pricing model of the value-added service is constructed based on Hotelling model, and the optimal investment strategy of the value-added service under two different user attribution situations is discussed, i.e. two-sided market and single-homing users, and single-sided market and multi-homing users. Finally, the evolutionary game income matrix based on the optimal investment strategy is constructed to analyze the evolutionary investment behavior of both sides of the logistics information platform, and the evolutionary equilibrium strategy is obtained. The results show that, when the users are single-homing and the investment cost is within a certain threshold, the two platforms adopt the same investment strategy; when the investment cost is not within the threshold, single platform or two platforms adopt the strategy. When there is a one-sided market and muti-homing users, the two platforms adopt the same investment strategy.