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 years 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

<b>Supplemental Material - A study on the risk stratification for patients within 24 hours of admission for risk of hospital-acquired urinary tract infection using Bayesian network models</b>

Supplemental Material for A study on the risk stratification for patients within 24 hours of admission for risk of hospital-acquired urinary tract infection using Bayesian network models by Rune Sejer Jakobsen, Thomas Dyhre Nielsen, Peter Leutscher and Kristoffer Koch1 in Health Informatics Journal.</p