创新驱动型创业作为新的创业情境对传统创业理论提出了新的挑战。新经济常态下的人工智能时代，系统化创业过程的关键成功因素（KSFs）发生动态、交互与迭代变化。基于粤港澳大湾区场景，从271份大湾区样本中获得系统化创业过程全周期分阶段的关键成功因素集，建立创业前期阶段因素集的多层次作用力递进结构模型，揭示系统化创业过程关键成功因素相互作用关系。研究发现：（1）创业过程的关键成功因素发生系统化改变，催生出组合内外部动因的新因素集。（2）系统化创业过程关键成功因素被细分和重构，凸显出因素间相互作用并创造价值的动态过程。（3）创业前期阶段的创业过程关键成功因素存在动态、交互与迭代关系。

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.

广东省教育厅高校省级重点平台科研项目“基于解释结构模型的系统化创业过程研究”（2017GWTSCX001）；广东省教育科学“十三五”规划项目“系统化创业过程的关键成功因素研究-以粤港澳大湾区智能产业为例”（2020GXJK229）；广州市哲学社会科学“十三五”规划基金项目“粤港澳大湾区大学生系统化创业过程研究”（2020GZYB80）