Papers

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Journal Article
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
Cascio, W. F., & Montealegre, R.. (2016). How technology is changing work and organizations. Annual Review Of Organizational Psychology And Organizational Behavior, 3(1), 349 - 375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
Crone, T., & Zargar, M. Shafeie. (2018). How the anthropormorphization of virtual assistants influences user's trust. Academy Of Management Proceedings, 2018(1), 16328. https://doi.org/10.5465/AMBPP.2018.16328abstract
H. Harvey, B., & Gowda, V.. (2020). How the FDA regulates AI. Academic Radiology, 27(1), 58 - 61. https://doi.org/10.1016/j.acra.2019.09.017
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 205395171562251. https://doi.org/10.1177/2053951715622512
Bærøe, K., Miyata-Sturm, A., & Henden, E.. (2020). How to achieve trustworthy artificial intelligence for health. Bulletin Of The World Health Organization, 98, 257–262. https://doi.org/10.2471/BLT.19.237289
Kao, Y. - F., & Venkatachalam, R.. (2018). Human and Machine Learning. Computational Economics. https://doi.org/10.1007/s10614-018-9803-z
Mukhalipi, A. (2018). Human capital management and future of work; job creation and unemployment: a literature review. Oalib, 05(09), 1 - 17. https://doi.org/10.4236/oalib.1104859
Tursunbayeva, A. (2019). Human resource technology disruptions and their implications for human resources management in healthcare organizations. Bmc Health Services Research, 19(1). https://doi.org/10.1186/s12913-019-4068-3
Jennings, N. R., Moreau, L., Nicholson, D., Ramchurn, S., Roberts, S., Rodden, T., & Rogers, A.. (2014). Human-agent collectives. Communications Of The Acm, 57(12), 80 - 88. https://doi.org/10.1145/269296510.1145/2629559
Delfanti, A., & Frey, B.. (2020). Humanly Extended Automation or the Future of Work Seen through Amazon Patents. Science, Technology, & Human Values, 016224392094366. https://doi.org/10.1177/0162243920943665
Cockshott, P., & Renaud, K.. (2016). Humans, robots and values. Technology In Society, 45, 19 - 28. https://doi.org/10.1016/j.techsoc.2016.01.002
Demartini, G. (2015). Hybrid human–machine information systems: Challenges and opportunities. Computer Networks, 90, 5 - 13. https://doi.org/10.1016/j.comnet.2015.05.018
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. Marco. (2019). Hybrid Intelligence. Business & Information Systems Engineering, 61(5), 637 - 643. https://doi.org/10.1007/s12599-019-00595-2
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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Yeung, K. (2017). ‘Hypernudge’: Big Data as a mode of regulation by design. Information, Communication & Society, 20(1), 118 - 136. https://doi.org/10.1080/1369118X.2016.1186713
Cho, J., & Kim, J.. (2018). Identifying factors reinforcing robotization: Interactive forces of employment, working hour and wage. Sustainability, 10(2), 490. https://doi.org/10.3390/su10020490
Natale, S., & Ballatore, A.. (2017). Imagining the thinking machine. Convergence: The International Journal Of Research Into New Media Technologies, 135485651771516. https://doi.org/10.1177/1354856517715164
Vermeulen, B., Kesselhut, J., Pyka, A., & Saviotti, P.. (2018). The impact of automation on employment: Just the usual structural change?. Sustainability, 10(5), 1661. https://doi.org/10.3390/su10051661

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