The impact of Artificial Intelligence on the Socioeconomic factors in the UAE

Author:

Hassanien Ahmed Rabie Mohamed1ORCID

Affiliation:

1. SP Jain School Of Global Management, United Arab Emirates

Publisher

ACM

Reference20 articles.

1. Ai, H., & Bhandari, A. (2021). Asset pricing with endogenously uninsurable tail risk. Econometrica, 89(3), 1471-1505.

2. Alhashmi, S. F., Salloum, S. A., & Abdallah, S. (2019, October). Critical success factors for implementing artificial intelligence (AI) projects in Dubai Government United Arab Emirates (UAE) health sector: applying the extended technology acceptance model (TAM). In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (pp. 393-405). Cham: Springer International Publishing.

3. Almarashda, H. A. H. A., Baba, I. B., Ramli, A. A., Memon, A. H., & Rahman, I. A. (2021). Human Resource Management and Technology Development in Artificial Intelligence Adoption in the UAE Energy Sector. Journal of Applied Engineering Sciences, 11(2).

4. How Robots Change Within-Firm Wage Inequality

5. Robot Imports and Firm-Level Outcomes

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