INTELLIGENT INNOVATION PROCESSES - THE POTENTIAL OF AI FOR DIGITAL INNOVATION PROCESSES

Authors

Rocco Huber, Project Group Business & Information Systems Engineering of the Fraunhofer FITFollow
Oliver Niesel, FIM Research Center, University of AugsburgFollow
Anna Maria Oberländer, FIM Research Center, University of BayreuthFollow
Bastian Stahl, FIM Research Center, University of Applied Sciences AugsburgFollow
Jochen Übelhör, Carl Zeiss VisionFollow

Paper Type

FP

Paper Number

420

Abstract

Digital innovation provides manifold opportunities and challenges. Companies need to master digital innovation cycles faster and leverage the increasing amount of available data. In this regard, artificial intelligence (AI) is of great interest, providing applications and tools to support humans and to enable more data-driven, customer-centric innovation. To date, however, the potential of AI for digital innovation processes remains poorly understood and needs to be further investigated. Thus, we developed a comprehensive framework for investigating the potential of AI along the steps of the digital innovation process. Drawing from the concept of cognitive skills and relating them to digital innovation activities as a theoretical lens, we used an initial survey with innovation experts and a focus group discussion with AI experts to assess the potential of AI along the steps of the digital innovation process. Our work contributes to the descriptive knowledge at the interface between digital innovation and AI

Recommended Citation

Huber, Rocco; Niesel, Oliver; Oberländer, Anna Maria; Stahl, Bastian; and Übelhör, Jochen, "INTELLIGENT INNOVATION PROCESSES - THE POTENTIAL OF AI FOR DIGITAL INNOVATION PROCESSES" (2021). PACIS 2021 Proceedings. 13.
https://aisel.aisnet.org/pacis2021/13