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Artificial Intelligence and Business Value: a Literature Review

📅 August 25, 2021 👤 Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef et al. 📖 Information Systems Frontiers 📊 889 citations

🤖 Plain-English Summary

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.

🔑 Key Findings

  • Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity.
  • Nevertheless, organizations are still struggling to adopt and leverage AI in their operations.
  • The lack of a coherent understanding of how AI technologies create business value, and what type of business value is expected, therefore necessitates a holistic understanding.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

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

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