Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/290331 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of Innovation and Entrepreneurship [ISSN:] 2192-5372 [Volume:] 13 [Issue:] 1 [Article No.:] 9 [Year:] 2024 [Pages:] 1-24
Publisher: 
Springer, Heidelberg
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.
Subjects: 
Absorptive capacity
Action convergence
Artificial intelligence
Idea management
Innovation capacity building
Innovation management
Pattern recognition
Radical innovation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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