 Artificial intelligence and innovation management: A review, framework, and research agenda✰Naomi Haefner, Joakim Wincent, Vinit Parida and Oliver Gassmann Technological Forecasting and Social Change, 2021, vol. 162, issue C 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. Keywords: Artificial intelligence; AI; Innovation; Review; Literature review; Innovation management; Machine learning; Information processing (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:162:y:2021:i:c:s004016252031218x DOI: 10.1016/j.techfore.2020.120392 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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