[
Alithya. (2023). Microsoft 365 Copilot: The AI Assistant That Revolutionizes Work. Retrieved from https://www.alithya.com/en/insights/blog-post/microsoft-365-copilot-ai-assistant-revolutionizes-work.
]Search in Google Scholar
[
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., ... & Bohg, J. (2022). On the Opportunities and Risks of Foundation Models. Retrieved from https://arxiv.org/abs/2108.07258.
]Search in Google Scholar
[
Damioli, G., Van Roy, V. & Vertesy, D. The impact of artificial intelligence on labor productivity. Eurasian Bus Rev 11, 1–25 (2021).
]Search in Google Scholar
[
Davenport, T. H., & Harris, J. G. (2017). Competing on analytics: The new science of winning. Harvard Business Press.
]Search in Google Scholar
[
Engstrom, D. F., Ho, D. E., Sharkey, C. M., & Cuéllar, M. F. (2020). Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3551505.
]Search in Google Scholar
[
Liu, J. (2023, April 25). Stanford and MIT study: A.I. boosted worker productivity by 14% Retrieved from https://www.cnbc.com/2023/04/25/stanford-and-mit-study-ai-boosted-worker-productivity-by-14percent.html.
]Search in Google Scholar
[
Microsoft AI (n.d.). Microsoft Copilot. Retrieved from https://www.microsoft.com/enus/microsoft-copilot.
]Search in Google Scholar
[
Lehto, M. (Ed.). (2022). Cybersecurity: Critical Infrastructure Protection. Springer.
]Search in Google Scholar
[
Yang, X., & Aurisicchio, M. (2021). Designing Conversational Agents: A Self-Determination Theory Approach. In CHI Conference on Human Factors in Computing Systems.
]Search in Google Scholar
[
Zhang, Y., Li, Y., & Zhang, Y. (2023). AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity. Sustainability, 15(11), 8934.
]Search in Google Scholar