The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
This addresses the problem of enhancing innovation team performance for managers and entrepreneurs, though it appears incremental in applying existing AI tools to a specific domain.
This study tackled the problem of how Generative AI affects innovation teams during idea generation, finding that AI-augmented teams produced higher quality ideas in less time, with improved efficiency, knowledge exchange, satisfaction, engagement, and idea diversity.
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.