Platform Incentives and Willingness of Participant for Investment on Livestreaming E-commerce Model : Computer-aided simulated analysis based on evolutionary game

Abstract

Computer simulation is a common research method in the field of evolutionary game. This paper introduce a selection on the strategy of both buyers and sellers for participating in livestreaming e-commerce model by aiming at the current development of livestreaming e-commerce. We study the platform’s third-party incentive mechanism to construct the buyers-sellers evolutionary game model by aiming at the hypothesis of bounded rationality. To slove the evolutionarily stable strategy by the stability principle, we figure out the systematic stable development conditions by the quantitative language, and conduct the numerical simulation for the evolutionarily stable strategy under different parameters by the Matlab. As what it was shown by the results: buyers and consumer’s concern and investment on online livestreaming shopping form are closely related to its yield rate, cost, and interest acquired from “free riding”; Platform incentive has significant positive impact on the investment willingness of both game parties. As the gaining rate of investment income increases gradually, both game parties’ probability of selecting concern and investment is increasing accordingly and many evolutionary stable strategies may emerge.