How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators

Johann Füller, Katja Hutter, Julian Wahl, Volker Bilgram and Zeljko Tekic

Technological Forecasting and Social Change, 2022, vol. 178, issue C

Abstract: The application of AI is expected to enable new opportunities for innovation management and reshape innovation practice in organizations. Our exploratory study among 150 AI-savvy innovation managers reveals four different clusters in terms of how organizations may use and implement AI in their innovation management ranging from (1) AI-Frontrunners, (2) AI-Practitioners, and (3) AI-Occasional innovators to (4) Non-AI innovators. The different groups vary not only in their strategy, organizational structure, and skill-building but also in their perceived potential, understanding of the required changes, encountered challenges, and organizational contexts. Our study contributes to a better understanding of the current state of AI-based innovation management, its impact on future innovation practice, and differences in organizations’ AI ambitions and chosen implementation approaches.

Keywords: AI-based innovation management; Innovation process; Organizational setup; Organizational context; Cluster analysis (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:178:y:2022:i:c:s0040162522001305

DOI: 10.1016/j.techfore.2022.121598

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