Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Our analysis synthesizes the current literature and highlights: (1) the key enablers and inhibitors of AI adoption and use; (2) the typologies of AI use in the organizational setting; and (3) the first- and second-order effects of AI.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Aug 25, 2021 |
| Journal | Information Systems Frontiers |
| Authors | Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie |
| DOI | 10.1007/s10796-021-10186-w |
| Citations | 889 |
| Source | OpenAlex |