知识管理
感知
探索性研究
业务
创新管理
国家(计算机科学)
营销
计算机科学
社会学
心理学
算法
人类学
神经科学
作者
Johann Füller,Katja Hutter,Julian Wahl,Volker Bilgram,Željko Tekić
标识
DOI:10.1016/j.techfore.2022.121598
摘要
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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