Artificial intelligence and innovation management: A review, framework, and research agenda

Naomi Haefner*, Joakim Wincent, Vinit Parida, Oliver Gassman

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.
Original languageEnglish
Article number120392
Peer-reviewed scientific journalTechnological Forecasting and Social Change
Volume162
ISSN0040-1625
DOIs
Publication statusPublished - 18.10.2020
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Artificial intelligence
  • AI
  • Innovation
  • Review
  • Literature review
  • Innovation management
  • Machine learning
  • Information processing

Areas of Strength and Areas of High Potential (AoS and AoHP)

  • AoHP: Strategic and entrepreneurial praxis

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