Papers

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Flynn, A. (2019). Using artificial intelligence in health-system pharmacy practice: Finding new patterns that matter. American Journal Of Health-System Pharmacy, 76(9), 622 - 627. https://doi.org/10.1093/ajhp/zxz018
Fleming, P. (2018). Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job. Organization Studies, 017084061876556. https://doi.org/10.1177/0170840618765568
Fiore, S. M., Philips, E., & Sellers, B. C.. (2014). A transdisciplinary perspective on hedonomic sustainability design. Economics In Design. https://doi.org/10.1177%2F1064804613516762
Aguirre, S., & Rodriguez, A.. (2017). Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study (J. Carlos Figueroa-García, López-Santana, E. Ramiro, Villa-Ramírez, J. Luis, & Ferro-Escobar, R., Eds.). In Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering (pp. 65 - 71). https://doi.org/10.1007/978-3-319-66963-2_7
Ferreira, P., Teixeira, J. Grenha, & Teixeira, L. F.. (2020). Understanding the Impact of Artificial Intelligence on Services. In International Conference on Exploring Services Science (1, 202–213). https://doi.org/10.1007/978-3-030-38724-2
Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A.. (2016). The rise of social bots. Communications Of The Acm, 59(7), 96 - 104. https://doi.org/10.1145/2818717
Felten, E. W., Raj, M., & Seamans, R.. (2018). A method to link advances in Artificial Intelligence to occupational abilities. Aea Papers And Proceedings, 108, 54 - 57. https://doi.org/10.1257/pandp.20181021
Faunce, W. A. (1965). Automation and the Division of Labor. Social Problems, 13(2), 149 - 160. https://doi.org/10.2307/798900
Faraj, S., Pachidi, S., & Sayegh, K.. (2018). Working and organizing in the age of the learning algorithm. Information And Organization, 28. https://doi.org/10.1016/j.inforandorg.2018.02.005
Faraj, S., Pachidi, S., & Sayegh, K.. (2018). Working and organizing in the age of the learning algorithm. Information And Organization, 28(1), 62 - 70. https://doi.org/10.1016/j.infoandorg.2018.02.005
Haryadi, H., Anggraeni, A. Irma, & Ibrahim, D. Nasir. (2018). Managing talented worker in the era of new psychological contract. Jurnal Aplikasi Manajemen, 16(1), 20 - 26. https://doi.org/10.21776/ub.jam.2018.016.01.03
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Eustace, S. (2018). Technology-induced bias in the theory of evidence-based medicine. Journal Of Evaluation In Clinical Practice, 24(5), 945 - 949. https://doi.org/10.1111/jep.12972
Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K.. (2014). Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers In Human Behavior, 33, 372 - 376. https://doi.org/10.1016/j.chb.2013.08.013
Ebel, P., Söllner, M., Leimeister, J. Marco, Crowston, K., & de Vreede, G. - J.. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
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Moore, P. V. (2019). Benefits and risks of artificial intelligence tools in workplaces (Vol. 11581, pp. 292 - 315; V. G. Duffy, Ed.). In (Vol. 11581, pp. 292 - 315). https://doi.org/10.1007/978-3-030-22216-1_22
Dottori, D. (2020). Robots and employment: evidence from Italy. In Questioni di Economia e Finanza.
Doroudi, S., & Brunskill, E.. (2019). Fairer but not fair enough on the equitability of knowledge tracing. In the 9th International ConferenceProceedings of the 9th International Conference on Learning Analytics & Knowledge - LAK19 (335 - 339). https://doi.org/10.1145/3303772.3303838

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