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Papers

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C
Bittner, E., & Shoury, O.. (2019). A chatbot for supporting teams in the empathy map method (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.029
Sheth, B. (2018). Chat bots are the new HR managers. Strategic Hr Review, 17(3), 162 - 163. https://doi.org/10.1108/SHR-03-2018-0024
Alvarez, M. García. (2018). Character qualities and the imagination age. Creative Education, 09(02), 152 - 164. https://doi.org/10.4236/ce.2018.92012
Barley, S. R., Bechky, B. A., & Milliken, F. J.. (2017). The changing nature of work: Careers, identities, and work lives in the 21 century. Academy Of Management Discoveries, 3(2), 111 - 115. https://doi.org/10.5465/amd.2017.0034
Aragon, C. R., Poon, S., & Silva, C. T.. (2009). The changing face of digital science (D. R. Olsen, Arthur, R. B., Hinckley, K., Morris, M. Ringel, Hudson, S., & Greenberg, S., Trans.). In the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 (4819). https://doi.org/10.1145/1520340.1520749
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
Woods, D. D., Patterson, E. S., & Roth, E. M.. (2002). Can we ever escape from data overload? A cognitive systems diagnosis. Cognition, Technology & Work, 4(1), 22 - 36. https://doi.org/10.1007/s101110200002
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
He, E. (2018). Can artificial intelligence make work more human?. Strategic Hr Review, 17(5), 263 - 264. https://doi.org/10.1108/SHR-10-2018-146
Pratt, G. A. (2015). Is a Cambrian Explosion Coming for Robotics?. Journal Of Economic Perspectives, 29(3), 51 - 60. https://doi.org/10.1257/jep.29.3.51
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Barley, S. R., & Kunda, G.. (2001). Bringing work back in. Organization Science, 12, 76–95. https://doi.org/10.1287/orsc.12.1.76.10122
Haenlein, M., & Kaplan, A.. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5 - 14. https://doi.org/10.1177/0008125619864925
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
Hukal, P., Berente, N., Germonprez, M., & Schecter, A.. (2019). Bots Coordinating Work in Open Source Software Projects. Computer, 52(9), 52 - 60. https://doi.org/10.1109/MC.2018.2885970
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
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Smith, Z. (2019). Blame the boss, not the robot. New Labor Forum, 28(2), 66 - 69. https://doi.org/10.1177/1095796019837947
Crews, A. (2015). The big move toward big data in employment. In Employment& Labor Law Solutions Worldwide. Retrieved de https://www.littler.com/files/wp_big_data_8-04-15.pdf
Parker, S. K. (2014). Beyond motivation: Job and work design for development, health, ambidexterity, and more. Annual Review Of Psychology, 65(1), 661 - 691. https://doi.org/10.1146/annurev-psych-010213-115208
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

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