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

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Haefner, Naomi, Wincent, Joakim, Parida, Vinit, Gassmann, Oliver·2021·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2020.120392
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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.

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Cited by

Metadata

Authors
Haefner, N., Wincent, J., Parida, V., & Gassmann, O.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2021-01
Volume
162
Pages
120392
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2020.120392
OpenAlex
W3093821457
Cited by
1,073
References
10
FWCI
25.48
Type
journal article
Language
en
Open access
hybrid
Licence

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