ARTIFICIAL INTELLIGENCE AND ECONOMIC DEVELOPMENT CONCEPTS
Keywords:
Artificial Intelligence, Economic Development, Technology, Economy, Bibliometric Analysis.Abstract
Artificial intelligence provides the ability to quickly leverage its limitless opportunities for economic development, and from small daily conversational intelligent robots to large industries, it quietly transforms and manages lifestyles around the world, which will have a significant educational force and motivational impact on future research in this field.
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References
Aghion, P., Jones, B. F., & Jones, C. I. (2018). Artificial intelligence and economic growth. In The economics of artificial intelligence: An agenda (pp. 237–282). University of Chicago Press.
Aghion, P., Antonin, C., & Bunel, S. (2019). Artificial intelligence, growth and employment: The role of policy. Economie et Statistique, 510(1), 149–164.
Alami, H., Rivard, L., Lehoux, P., Hoffman, S. J., Cadeddu, S. B. M., Savoldelli, M., & Fortin, J.-P. (2020). Artificial intelligence in health care: Laying the foundation for responsible, sustainable, and inclusive innovation in low- and middle-income countries. Globalization and Health, 16(1), 52.
Albayrak, A., Duran, F., & Bayir, R. (2021). Development and evaluation of a web-based intelligent decision support system for migratory beekeepers in Turkey to follow nectar resources. Journal of Apicultural Research, 60(3), 396–404.
Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91.
Ante, L., Steinmetz, F., & Fiedler, I. (2021). Blockchain and energy: A bibliometric analysis and review. Renewable and Sustainable Energy Reviews, 137, 110597.
Anton, E., Oesterreich, T. D., Schuir, J., Protz, L., & Teuteberg, F. (2021). A business model taxonomy for start-ups in the electric power industry - The electrifying effect of artificial intelligence on business model innovation. International Journal of Innovation and Technology Management, 18(03). https://doi.org/10.1142/s0219877021500048
Arabameri, A., Saha, S., Roy, J., Tiefenbacher, J. P., Cerda, A., Biggs, T., & Collins, A. L. (2020). A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. Science of the Total Environment, 726, 138595.
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
Azizi, A. (2020). Applications of artificial intelligence techniques to enhance sustainability of Industry 4.0: Design of an artificial neural network model as dynamic behavior optimizer of robotic arms. Complexity, 2020, 8564140.
