Mind the Gap: Towards an Understanding of Government Decision-Making based on Artificial Intelligence

Author:

Valle-Cruz David1,García-Contreras Rigoberto1,Muñoz-Chávez J. Patricia2

Affiliation:

1. Department of Business, Universidad Autónoma del Estado de México, Mexico

2. Department of Business, Universidad Tecnológica de la Zona Metropolitana del Valle de México, Mexico

Publisher

ACM

Reference57 articles.

1. Alimadadi , A. 202 0. Artificial intelligence and machine learning to fight COVID-19. Physiological genomics . American Physiological Society Bethesda , MD. Alimadadi, A. 2020. Artificial intelligence and machine learning to fight COVID-19. Physiological genomics. American Physiological Society Bethesda, MD.

2. Anantrasirichai N. and Bull D. 2021. Artificial intelligence in the creative industries: a review. Artificial Intelligence Review. (2021) 1–68. Anantrasirichai N. and Bull D. 2021. Artificial intelligence in the creative industries: a review. Artificial Intelligence Review. (2021) 1–68.

3. Benčina , J. 2007. The use of fuzzy logic in coordinating investment projects in the public sector . The Proceedings of Rijeka Faculty of Economics–Journal of Economics and Business . 25, 1 ( 2007 ), 113–136. Benčina, J. 2007. The use of fuzzy logic in coordinating investment projects in the public sector. The Proceedings of Rijeka Faculty of Economics–Journal of Economics and Business. 25, 1 (2007), 113–136.

4. Castro D. and New J. 2016. The Promise of Artificial Intelligence. Castro D. and New J. 2016. The Promise of Artificial Intelligence.

5. Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations

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