Exploring the interaction and choice behavior of organization and individuals in the crowd logistics

With the increasingly wide use of sensor-embedded smartphones, we envision that there will be many crowdsourced logistic companies to acquire logistics service from a large population of carriers. They form a two-side competition market, where crowdsources compete for the limited logistics service and carriers compete for the compensation from crowdsourced logistic company. Each crowdsourced logistic company has to select an "optimal" delivery compensation that can attract enough service providers. Each carrier has to decide which crowdsourced logistic company to join in, while a congested company may resulted in a low reward. In this paper, we present a game theoretic study of such a two-side competition market. To be more practical, we consider the bounded rationality of service providers. We formulate the dynamics behavior of service providers as an evolutionary game, and take two key factors (company's analytics ability and service providers' evaluation) under smart environment in our model, and then present a simulation model for the implementation of evolution process. Through this work, we can understand the dynamic evolution of the medium-sized crowd logistics market under smart environment and crowdsourced logistic company can adjust their strategy to optimal their profit.