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1. Our prolonged evaluation was primarily based on two of our research: M. Pinski, T. Hofmann, and A. Benlian, “AI Literacy for the High Administration: An Higher Echelons Perspective on Company AI Orientation and Implementation Potential,” Digital Markets 34, no. 1 (2024): 1-23; and M. Pinski, T. Hofmann, and A. Benlian, “Govt AI Literacy: A Textual content-Mining Strategy to Perceive Present and Demanded AI Abilities of Leaders in Unicorn Companies,” in “Wirtschaftsinformatik 2023 Proceedings” (Paderborn, Germany: Worldwide Convention on Wirtschaftsinformatik, September 2023).
2. E. Brynjolfsson, D. Li, and L.R. Raymond, “Generative AI at Work,” working paper 31161, Nationwide Bureau of Financial Analysis, Cambridge, Massachusetts, November 2023; and S. Kaparthi and D. Bumblauskas, “Designing Predictive Upkeep Methods Utilizing Determination Tree-Primarily based Machine Studying Methods,” Worldwide Journal of High quality & Reliability Administration 37, no. 4 (2020): 659-686.
3. “AI for Everyone: Bouygues Telecom Achieves Rapid Innovation by Scaling AI on AWS IBM,” IBM, accessed April 2, 2024, www.ibm.com.
4. Pinski, Hofmann, and Benlian, “AI Literacy for the High Administration”; and Pinski, Hofmann, and Benlian, “Govt AI Literacy.”
5. Findings are legitimate for each established corporations (S&P 500) in addition to startups (unicorns).
6. M. Weber, M. Engert, N. Schaffer, et al., “Organizational Capabilities for AI Implementation — Coping With Inscrutability and Information Dependency in AI,” Data Methods Frontiers 25, no. 4 (August 2023): 1549-1569.
7. M. Pinski, M. Adam, and A. Benlian, “AI Knowledge: Improving AI Delegation Through Human Enablement,” in “CHI ’23: Proceedings of the CHI Convention on Human Elements in Computing Methods” (Hamburg, Germany: ACM Particular Curiosity Group on Pc-Human Interplay, April 2023).
8. Pinski, Hofmann, and Benlian, “AI Literacy for the High Administration”; and Pinski, Hofmann, and Benlian, “Govt AI Literacy.”
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