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

  • 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.

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Metadaten
Author:Johann Füller, Katja Hutter, Julian WahlORCiD, Volker BilgramORCiD, Zeljko Tekic
DOI:https://doi.org/10.1016/j.techfore.2022.121598
ISSN:0040-1625
Parent Title (English):Technological Forecasting and Social Change
Publisher:Elsevier BV
Document Type:Article
Language:English
Release Date:2024/11/27
Tag:AI-based innovation management Innovation process Organizational setup Organizational context Cluster analysis
Volume:178
Article Number:121598
Pagenumber:22
institutes:Fakultät Betriebswirtschaft
Research Themes:Digitalisierung & Künstliche Intelligenz
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