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

Technological Forecasting and Social Change · 2020 · Vol. 162 · pp. 120392–120392
Naomi HaefnerJoakim WincentVinit ParidaOliver Gassmann

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.

Big Data and Business IntelligenceInnovation, Sustainability, Human-Machine SystemsDigital Transformation in IndustryKnowledge managementInnovation managementProcess (computing)Innovation processDigital transformationTechnology managementComputer scienceBusinessMarketingWork in process
Citations
875
FWCI
70.21
field-weighted impact
References
90
Percentile
100%
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Citations per year
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