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

Journal
Technological Forecasting and Social Change
ISSN
0040-1625
Type
journal article
Date Issued
2021-01
Author(s)
Häfner, Naomi  
Wincent, Joakim  
Parida, Vinit
Gassmann, Oliver  
DOI
https://doi.org/10.1016/j.techfore.2020.120392
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.
Language
English
Keywords
Artificial intelligence
AI
Innovation
Review
Literature review
Innovation management
Machine learning
Information processing
HSG Classification
contribution to scientific community
HSG Profile Area
Global Center for Entrepreneurship + Innovation
Refereed
Yes
Publisher
Elsevier
Volume
162
Official URL
https://authors.elsevier.com/sd/article/S004016252031218X
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/110758
Subject(s)

business studies

Division(s)

ITEM - Institute of T...

Eprints ID
261182

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