AI助创团队更快生成更优更多样创意，提升创新效率。
The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
- 用定制AI工具辅助构思，促进知识流动与共享。
- 实验组想法质量更高，生成速度加快，多样性增强。
- 适合关注AI赋能创新管理的研究者与企业团队。
本研究探讨生成式人工智能（GenAI）对创新团队在创意生成阶段的动态与绩效影响。通过定制的AI辅助创意工具，结合创业知识溢出理论，分析了AI对知识溢出、生成与应用的影响。基于框架化实地实验，将参与者分为实验组与对照组，结果表明：使用GenAI的团队在更短时间内生成了更高品质的创意，提升了效率、知识交流、满意度与参与度，并增强了创意多样性。研究揭示了生成式人工智能在创新管理领域的变革性作用，验证其对知识溢出理论核心要素的积极影响，凸显其在创新、创业及经济增长中的潜力。未来研究应进一步探索GenAI与创造性过程之间的动态互动。
原文摘要 · Abstract (English)
This study investigates the impact of Generative Artificial Intelligence (GenAI) on the dynamics 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 Spillover Theory of Entrepreneurship to understand the effects of AI on knowledge spillover, generation and application. Through a framed field experiment with participants divided into experimental and control groups, findings indicate that AI-augmented teams generated higher quality ideas in less time. GenAI application led to improved efficiency, knowledge exchange, increased satisfaction and engagement as well as enhanced idea diversity. These results highlight 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 Entrepreneurship, emphasizing its potential impact on innovation, entrepreneurship, and economic growth. Future research should further explore the dynamic interaction between GenAI and creative processes.
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