Today, I spoke at the OUI conference at Harvard Business School about the long-term study I am currently planning. The aim is to collect data from students aged 16 and over and students and young professionals up to 30.

I want to discover to what extent AI can help identify innovation potential and develop innovation performance.

What is unique about my research approach is

• the combination of personality profile, individual task, and group task
• the evaluation of the effects of GenAI on the identification of innovation potential and the development of innovation performance
• the use of AI to automatically analyze the data sets
• the transparent evaluation of the results achieved based on five criteria (desirability, feasibility, originality, sustainability, and viability).

Many thanks to Daniel and Peter for the questions:

• What challenges can arise during the data collection?
• What is being analyzed when using generative AI in music and video production?

Both questions led me to the realization that

• data collection through anonymization is ethically justifiable in higher education contexts
• that the effects of fatigue and learning processes between the three data collections in one day should be taken into account
• and that I am particularly interested in the “how” of using GenAI in the group innovation process and its effects on innovation performance –> hence the documentation via audio recordings and activity locks are essential.

From the discussions and reflections, I should maintain my previous focus on calibrating trust in the human-machine relationship. I should pursue my approach of conducting the personality profile survey digitally and automatically and combining it with experiments. My five-factor assessment of the innovation performance seems original, and I will elaborate on it in one of my next journal publications.

I would like to thank Karim Lakhani, Hila Lifshitz Assaf, Jacqueline Ng Lane, and Zahra Rasouli for their interesting presentations and insights into their experiments. It was statistically inspiring!