Artificial Intelligence and Technological Innovation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7939-4_5
Reference88 articles.
1. Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work. NBER working paper no. 24196.
2. Aghion, P., Jones, B. F., & Jones, C. I. (2017). Artificial intelligence and economic growth. NBER Working Paper No. 23928.
3. Agrawal, A. K., Gans, J. S., & Goldfarb, A. (2018). Prediction, judgment and complexity: A theory of decision making and artificial intelligence. NBER Working Paper No. 24243.
4. Amit, K. S., Manvendra, J., Ajith, A., & Pranab, K. (2019). Muhuri, Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018). Engineering Applications of Artificial Intelligence, 85, 517–532.
5. Bai, J. H. (2011). Are government R&D subsidies efficient in China! Evidence from large and medium enterprises. China Economic Quarterly, 10(04), 1375–1400. https://doi.org/10.4236/ajibm.2014.49056
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