Unraveling Data From an Idea Management System of 11 Radical Innovation Portfolios Key Lessons and Avenues for Artificial Intelligence Integration

Abstract

In strategic and radical innovation, the degree of uncertainty and the amount of complexity is much higher compared to ‘business as usual’. Therefore, idea management systems are often used to support such innovation processes. An interesting question is what we can learn from studying data in such idea management systems and what potential implications we can derive from the innovation management literature. In this study, we were allowed to access and analyze data from the same idea management system used in 11 radical innovation projects from the year 2012-2018. Our analysis unravels 8 findings that in different ways nuance or challenge current research on innovation management. Finally, we discuss how the integration of artificial intelligence (AI) in idea management systems can support innovation team members in increasing the innovation potential of the ideas that are elaborated.

Using Clinical Explainable Machine Learning Models for Early Identification of Patients at Risk of Hospital-Acquired Infections

“…Lastly, the processes of developing and implementing clinically explainable ML models for HAI could draw inspiration from other fields, e.g., the interplay between innovation, strategic idea portfolios, and XAI. In this scenario, inspiration may be found in the work of Jakobsen et al [153]. For instance, while strategic idea portfolios relate to ensuring the innovation process of constructing the best ideas, ensuring absorptive capacity and pursuing blindspotting, these perspectives may be similar to the hopes of ensuring the process by the steps of responsible ML.…”