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Artificial intelligence and innovation management: A review, framework, and research agenda
University of St. Gallen, St. Gallen, Switzerland.
University of St. Gallen, St. Gallen, Switzerland; Hanken, School of Economics, Entrepreneurship and Management, Helsinki, Finland.ORCID-id: 0000-0002-8770-8874
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi. University of South-Eastern Norway, Entrepreneurship and Innovation/USN Business School, Vestfold, Norway; University of Vaasa, School of Management, Vaasa, Finland .ORCID-id: 0000-0003-3255-414X
University of St. Gallen, St. Gallen, Switzerland.
2021 (engelsk)Inngår i: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 162, artikkel-id 120392Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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. © 2020 The Author(s)

sted, utgiver, år, opplag, sider
Elsevier, 2021. Vol. 162, artikkel-id 120392
Emneord [en]
Technological forecasting, AI systems, AI Technologies, Behavioral theory of the firms, Implications for futures, Innovation management, Innovation process, Research agenda, Technological development, Artificial intelligence, artificial intelligence, information processing, innovation, literature review, machine learning, research
HSV kategori
Forskningsprogram
Entreprenörskap och innovation
Identifikatorer
URN: urn:nbn:se:ltu:diva-81529DOI: 10.1016/j.techfore.2020.120392ISI: 000601162500015Scopus ID: 2-s2.0-85092748091OAI: oai:DiVA.org:ltu-81529DiVA, id: diva2:1503377
Merknad

Validerad;2020;Nivå 2;2020-11-24 (johcin)

Tilgjengelig fra: 2020-11-24 Laget: 2020-11-24 Sist oppdatert: 2025-10-22bibliografisk kontrollert

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