An Empirical Study On The Use Intention And Influencing Factors Of Multi Type Online Ride-Hailing

Online ride-hailing improves the communication between drivers and passengers.Also it increases the supply of cars in the taxi market.It makes residents easier to take a taxi.Now a days,there are several kings of products in the market,such as carpooling,taxi-hailing and so on.Online ride-hailing has developed to a bottleneck period,user activity has declined recently.In order to increase the user activity,we should have a research on usage intention.This paper reviews the research about ride-hailing and find that past studies take online ride-hailing as just one product.But in the fact,there are 4 products in the market.So in this paper,I research the usage intention of the 4 products.To increase the user activity,we should have a research on both user and potential user.So I research the usage intention of both user and potential user.Learning from previous scholar’ s view,from the perception of online ride-hailing,we build the usage intention model of online ride-hailing.The research model include five independent variables:performance expectation,community impact,net externality,perceived price level and perceived risk;one induced variable:usage behavior.We use AMOS and SPSS to do data analysis including descriptive statistics,reliability,validity analysis,model fitting analysis,path analysis and hypothesis testing.The results show that performance expectation and community impact have a great impact on usage intention of most models.Net externality,perceived price level and perceived risk have an impact on usage intention of several models.According to the results,I give some suggestions to the companies.Such as improve the service,precision marketing strategy and so on.