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Papers

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Petersen, A. C. M., Christensen, L. Rune, & Hildebrandt, T. T.. (2020). The Role of Discretion in the Age of Automation. Computer Supported Cooperative Work: Cscw: An International Journal, 29, 303–333. https://doi.org/10.1007/s10606-020-09371-3
Pereira, L. Moniz. (2019). A machine is cheaper than a human for the same task. Ai & Society. https://doi.org/10.1007/s00146-018-0874-0
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
Pennisi, E. (2017). AI in Action: Combing the genome for the roots of autism. Science, 357(6346), 25 - 25. https://doi.org/10.1126/science.357.6346.25
Patterson, E. S., & Woods, D. D.. (2001). Shift changes, updates, and the on-call architecture in space shuttle mission control. Computer Supported Cooperative Work (Cscw), 10(3-4), 317 - 346. https://doi.org/10.1023/A:1012705926828
Patterson, E. S. (2004). Handoff strategies in settings with high consequences for failure: lessons for health care operations. International Journal For Quality In Health Care, 16(2), 125 - 132. https://doi.org/10.1093/intqhc/mzh026
Parker, S. K., Morgeson, F. P., & Johns, G.. (2017). One hundred years of work design research: Looking back and looking forward. Journal Of Applied Psychology, 102(3), 403 - 420. https://doi.org/10.1037/apl0000106
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
Panch, T., Szolovits, P., & Atun, R.. (2018). Artificial intelligence, machine learning and health systems. Journal Of Global Health, 8(2). https://doi.org/10.7189/jogh.08.020303
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ÖZCAN, R.. (2019). The rise of robots! Effects on employment and income. Öneri Dergisi, 1 - 17. https://doi.org/10.14783/maruoneri.vi.522005
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Orlikowski, W. J., & C. Iacono, S.. (2001). Desperately seeking "IT" in IT research: A call to theorizing the IT artifact. Information Systems Researchinformation Systems Research, 12, 121–134.
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
Oldham, G. R., & Fried, Y.. (2016). Job design research and theory: Past, present and future. Organizational Behavior And Human Decision Processes, 136, 20 - 35. https://doi.org/10.1016/j.obhdp.2016.05.002
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Öcal, A., & Crowston, K.. (2024). Framing and feelings on social media: The futures of work and intelligent machines. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049
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Obschonka, M., & Audretsch, D. B.. (2019). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics. https://doi.org/10.1007/s11187-019-00202-4
Obermeyer, Z., & Emanuel, E. J.. (2016). Predicting the Future — Big Data, Machine Learning, and Clinical Medicine. New England Journal Of Medicine, 375(13), 1216 - 1219. https://doi.org/10.1056/NEJMp1606181
Oakden-Rayner, L. (2019). The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?. Radiology: Artificial Intelligence, 1(3), e180089. https://doi.org/10.1148/ryai.2019180089

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