Decker, M., Fischer, M., & Ott, I. (2017). Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics and Autonomous Systems, 87, 348-354. https://doi.org/10.1016/j.robot.2016.09.017
Matuzeviciute, K., Butkus, M., & Karaliute, A. (2017). Do technological innovations affect unemployment? Some empirical evidence from European countries. Economies, 5(4), 48. https://doi.org/10.3390/economies5040048
Natalie, E., & Hveem, C. (2017). Evaluating the effects of industrial robots on the European labour market. In Employment and wage effects: Vol. Bergen, Fall, 2017. https://pdfs.semanticscholar.org/4e19/3a0a02315803d799520b094cce36a1888a94.pdf
Grøndahl, F., & Eriksen, G. H. (2017). An empirical analysis of the impacts of robotization on employment in the Norwegian manufacturing industry. In Administration, Economics. https://www.semanticscholar.org/paper/Will-robots-replace-us-%3A-an-Empirical-analysis-of-Gr%C3%B8ndahl-Eriksen/e4e22bf2498e42d6308d81cc7483b5a0b8ba48e7
Lee, K. F. (2017). Automation, computerisation and future employment in Singapore. Journal of Southeast Asian Economies, 34. https://mpra.ub.uni-muenchen.de/79961/
Fuei, L. K., & Management, S. H. of A. E. at S. I. (2017). Automation, computerization and future employment in Singapore. Southeast Asian Economies, 34(2), 388-399. https://doi.org/10.1355/ae34-2h
Brynjolfsson, E., Rock, D., & Syverson, C. (2017). Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics. In National bureau of economic research (No. 24001). http://www.nber.org/papers/w24001
Lawrence, M., Roberts, C., & King, L. (2017). Employment, inequality and ethics in the digital age. The IPPR Commission on Economic Justice. https://www.ippr.org/publications/managing-automation
Board, C. S. and T., & Sciences, D. on E. and P. (2017). Information Technology and the U.S. Workforce. National Academies Press. https://doi.org/10.17226/24649
Gombolay, M., Bair, A., Huang, C., & Shah, J. (2017). Situational awareness, workload, and workflow preferences. The International Journal of Robotics Research, 36(5-7), 597-617. https://doi.org/10.1177/0278364916688255