Abstract:The innovation-driven entrepreneurial context poses new challenges to traditional entrepreneurial theories. In the era of artificial intelligence(AI) under the new normal of China’s economy, the key success factors (KSFs) of a systematic venture creation process undergo dynamic, interactive and iterative changes. Based on the Guangdong-Hong Kong-Macao Greater Bay Area scenario, we obtained a systematic venture creation process full cycle from 271 Greater Bay Area samples a staged set of KSFs. A multi-level force progressive structure model of factor sets in pre-start-upstage of entrepreneurship is established to reveal the interaction between the KSFs of a systematic venture creation process. The results show that: (1) The KSFs of the entrepreneurial process undergo a systematic change, which gives birth to a new set of factors that combine internal and external motivations. (2) The KSFs of a systematic venture creation process are subdivided and reconstructed. It highlights the dynamic process of KSFs interacting and creating value. (3) The KSFs of the entrepreneurial process in pre-start-upstage of entrepreneurship have dynamic, interactive and iterative relationships.