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C
Poon, S. S., Thomas, R. C., Aragon, C. R., & Lee, B.. (2008). Context-linked virtual assistants for distributed teams (B. Begole & McDonald, D. W., Trans.). In the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW '08 (361). https://doi.org/10.1145/1460563.1460623
Acemoglu, D., Lelarge, C., & Restrepo, P.. (2020). Competing with Robots: Firm-Level Evidence from France. Aea Papers And Proceedings, 110, 383–388. https://doi.org/10.1257/pandp.20201003
Land-Zandstra, A. M., Devilee, J. L. A., Snik, F., Buurmeijer, F., & van den Broek, J. M.. (2016). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406
Di Prospera, A., norouzi, N., Fokaefs, M., & Litoiu, M.. (2017). Chatbots as assistants, an architectural framework. In CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering. Retrieved de https://dl.acm.org/citation.cfm?id=3172805
Pepito, J. Andrew, & Locsin, R.. (2019). Can nurses remain relevant in a technologically advanced future?. International Journal Of Nursing Sciences, 6(1), 106 - 110. https://doi.org/10.1016/j.ijnss.2018.09.013
B
Bednarek, A. T., Wyborn, C., Cvitanovic, C., Meyer, R., Colvin, R. M., Addison, P. F. E., et al.. (2018). Boundary spanning at the science–policy interface: the practitioners’ perspectives. Sustainability Science, 13(4), 1175 - 1183. https://doi.org/10.1007/s11625-018-0550-9
Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
PDF icon training v3 to share.pdf (245.57 KB)
Seering, J., Luria, M., Kaufman, G., & Hammer, J.. (2019). Beyond Dyadic Interactions: Considering Chatbots as Community Members (S. Brewster, Fitzpatrick, G., Cox, A., & Kostakos, V., Trans.). In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 (1-13). https://doi.org/10.1145/3290605
Johnson, R. D., Stone, D. L., & Lukaszewski, K. M.. (2020). The benefits of eHRM and AI for talent acquisition. Journal Of Tourism Futures. https://doi.org/10.1108/JTF-02-2020-0013
A
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
Levine, D. I. (2019). Automation as Part of the Solution. Journal Of Management Inquiry, 28(3), 316 - 318. https://doi.org/10.1177/1056492619827375
Musib, M., Wang, F., Tarselli, M. A., Yoho, R., Yu, K. - H., Andrés, R. Medina, et al.. (2017). Artificial intelligence in research. Science, 357(6346), 28 - 30. https://doi.org/10.1126/science.357.6346.28
Ågerfalk, P. J., Conboy, K., Crowston, K., Jarvenpaa, S. L., Lundström, J. Eriksson, Mikalef, P., & Ram, S.. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
PDF icon Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., et al.. (2017). Artificial intelligence in healthcare: past, present and future. Stroke And Vascular Neurology, 2(4), 230 - 243. https://doi.org/10.1136/svn-2017-000101

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