This study investigates the impact of Generative Artificial Intelligence (GenAI) on the dynam-ics and performance of innovation teams during the idea generation phase of the innovation process. Utilizing a custom AI-augmented ideation tool, the study applies the Knowledge Spill-over Theory of Entrepreneurship to understand the effects of AI on knowledge spillover, gen-eration and application. Through a framed field experiment with participants divided into exper-imental and control groups, findings indicate that AI-augmented teams generated higher quali-ty ideas in less time. GenAI application led to improved efficiency, knowledge exchange, in-creased satisfaction and engagement as well as enhanced idea diversity. These results high-light the transformative role of the field of AI within the innovation management domain and shows that GenAI has a positive impact on important elements of the Knowledge Spillover Theory of Entrepeneurship, emphasizing its potential impact on innovation, entrepreneurship, and economic growth. Future research should further explore the dynamic interaction be-tween GenAI and creative processes.

翻译：本研究探讨了生成式人工智能在创新过程的构思阶段对创新团队动态与绩效的影响。通过使用定制的人工智能增强构思工具，本研究应用创业知识溢出理论来理解人工智能对知识溢出、生成与应用的影响。通过一项将参与者分为实验组和对照组的框架式实地实验，研究发现人工智能增强的团队在更短时间内产生了更高质量的想法。生成式人工智能的应用提高了效率、促进了知识交流、增加了满意度与参与度，并增强了想法的多样性。这些结果凸显了人工智能领域在创新管理领域的变革性作用，并表明生成式人工智能对创业知识溢出理论的关键要素具有积极影响，强调了其对创新、创业与经济增长的潜在影响。未来的研究应进一步探索生成式人工智能与创造性过程之间的动态交互作用。