Papers

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Günther, W. Arianne, Mehrizi, M. H. Rezazad, Huysman, M., & Feldberg, F.. (2017). Debating big data: A literature review on realizing value from big data. The Journal Of Strategic Information Systems, 26(3), 191 - 209. https://doi.org/10.1016/j.jsis.2017.07.003
Grote, G., Weik, S., Wafler, T., & Zolch, M.. (1995). Complementary allocation of functions in automated work systems. In International Conference on Human-Computer Interaction (HCI International) (pp. 989-994). Elsevier.
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
Greco, C., Polonioli, A., & Tagliabue, J.. (2019). Why small data holds the key to the future of artificial intelligence. In 8th International Conference on Data Science, Technology and ApplicationsProceedings of the 8th International Conference on Data Science, Technology and Applications (340 - 347). https://doi.org/10.5220/0007956203400347
Grant, A. M., & Parker, S. K.. (2009). Redesigning work design theories: The rise of relational and proactive perspectives. The Academy Of Management Annals, 3(1), 317 - 375. https://doi.org/10.1080/19416520903047327
Morgeson, F. P., Dierdorff, E. C., & Hmurovic, J. L.. (2010). Understanding the role of occupational and organizational context. Journal Of Organizational Behavior, 31(2-3), 351 - 360. https://doi.org/10.1002/job.642
Oldham, G. R., & J. Hackman, R.. (2010). Not what it was and not what it will be: The future of job design research. Journal Of Organizational Behavior, 31(2-3), 463 - 479. https://doi.org/10.1002/job.v31:2/310.1002/job.678
Goos, M. (2018). The impact of technological progress on labour markets: policy challenges. Oxford Review Of Economic Policy, 34(3), 362 - 375. https://doi.org/10.1093/oxrep/gry002
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
Goldfarb, A., & Tucker, C.. (2019). Digital Economics. Journal Of Economic Literature, 57(1), 3 - 43. https://doi.org/10.1257/jel.20171452
Gladden, M. (2014). Leveraging the cross-cultural capacities of artificial agents as leaders of human virtual teams. In European 10th Conference on Management Leadership and Governance. Presented at the European 10th Conference on Management Leadership and Governance. Retrieved de https://www.researchgate.net/publication/268982256_Leveraging_the_Cross-Cultural_Capacities_of_Artificial_Agents_as_Leaders_of_Human_Virtual_Teams
Gillespie, T. (2017). Algorithmically recognizable: Santorum’s google problem, and google’s santorum problem. Information, Communication & Society, 20(1), 63 - 80. https://doi.org/10.1080/1369118X.2016.1199721
Gill, K. S. (2018). Looking though the Pygmalion Lens. Ai & Society, 33(4), 459 - 465. https://doi.org/10.1007/s00146-018-0866-0

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