Crowdfunding、Machine Learning、Predictive Analytics、Random Forests、Visual Analytics、Social Networks

In China’s evolving FinTech ecosystem, intelligent recommendation systems have become pivotal for enhancing crowdfunding outcomes. This study integrates the Information Systems Success Model, Dynamic Capabilities Theory, Signaling Theory, and Trust Theory to examine how such systems shape crowdfunding success. Adopting a positivist and quantitative approach, data were collected from 302 users of Chinese crowdfunding platforms employing intelligent recommendation engines.