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Papers

Export 11 results:
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International Labour Organization
Grimshaw, D. (2020). International organisations and the future of work: How new technologies and inequality shaped the narratives in 2019. In Journal of Industrial Relations (pp. 477–507). https://doi.org/10.1177/0022185620913129
intelligent virtual agents
Carter, D. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150
intelligent system of feedbacks
Shvets, A., & Shvets, V.. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013
Intelligent robots
Arduengo, M., & Sentis, L.. (2020). The Robot Economy : Here It Comes. International Journal Of Social Robotics. https://doi.org/10.1007/s12369-020-00686-1
innovation
Gries, T., & Naude, W.. (2018). Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter. In Maastricht Economic and social Research institute on Innovation and Technology. Retrieved de http://ftp.iza.org/dp12005.pdf
Information Technology
Willcocks, L. (2020). Robo-Apocalypse cancelled? Reframing the automation and future of work debate. In Journal of Information Technology. https://doi.org/10.1177/0268396220925830
information literacy
Carter, D. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150
industry 4.0; robotics; sequential versus dual education systems; human resources management and policy
Industrial robots
Jung, J. Hwa, & Lim, D. Geon. (2020). Industrial robots, employment growth, and labor cost: A simultaneous equation analysis. Technological Forecasting And Social Change, 159, 120202. https://doi.org/10.1016/j.techfore.2020.120202
incentives
Malone, T. W., Nickerson, J. V., Laubacher, R. J., Fisher, L. Hesse, de Boer, P., Han, Y., & Ben Towne, W.. (2017). Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (1661–1674). https://doi.org/10.1145/2998181.2998343
human-swarm interaction (HSI)
Human-robot interaction (HRI)
Human-machine-Bigdata interaction loop
Roccetti, M., Delnevo, G., Casini, L., & Salomoni, P.. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6

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