Papers

Export 11 results:
Journal Article
Liang, H. - F., Wu, K. - M., Weng, C. - H., & Hsieh, H. - W.. (2019). Nurses' Views on the Potential Use of Robots in the Pediatric Unit. Journal Of Pediatric Nursing, 47, e58 - e64. https://doi.org/10.1016/j.pedn.2019.04.027
Nelson, A. J., & Irwin, J.. (2014). Occupational identity, technological change, and the librarian/internet-search relationship. Academy Of Management Journal, 57(3), 892 - 928. https://doi.org/10.5465/amj.2012.0201
Phan, P., Wright, M., & Lee, S. - H.. (2017). Of robots, Artificial Intelligence, and work. Academy Of Management Perspectives, 31(4), 253 - 255. https://doi.org/10.5465/amp.2017.0199
N. Meyer, D. (1982). Office automation: A progress report. Office Technology And People, 1(1), 107 - 121. https://doi.org/10.1108/eb022608
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
Anagnoste, S. (2018). The operating system for the digital enterprise. Proceedings Of The International Conference On Business Excellence, 12(1), 54 - 69. https://doi.org/10.2478/picbe-2018-0007
Freeman, R. B. (2018). Ownership when AI robots do more of the work and earn more of the income. Journal Of Participation And Employee Ownership, 1(1), 74 - 95. https://doi.org/10.1108/JPEO-04-2018-0015
Anani, N. (2018). Paving the way for the future of work. Canadian Public Policy, 1 - 10. https://doi.org/10.3138/cpp.2018-012
Metcalf, L., Askay, D. A., & Rosenberg, L. B.. (2019). Pooling knowledge through artificial swarm intelligence to improve business decision making. California Management Review, 61(4), 84 - 109. https://doi.org/10.1177/0008125619862256
Davenport, T., & Kalakota, R.. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94 - 98. https://doi.org/10.7861/futurehosp.6-2-94
Pugh, A. J. (2019). Precarious lives: Job insecurity and well-being in rich democracies. Social Forces, 97(4), e1 - e3. https://doi.org/10.1093/sf/soz022
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
Rotila, V. (2018). The predictions on the future of labour are not grounded; some arguments for a bayesian approach. Postmodern Openings, 9(3), 36 - 63. https://doi.org/10.18662/po/35
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
Raj, M., & Seamans, R.. (2019). Primer on artificial intelligence and robotics. Journal Of Organization Design, 8(1). https://doi.org/10.1186/s41469-019-0050-0
Silva, F. N., Rodrigues, F. A., Oliveira, O. N., & L. Costa, daF.. (2013). Quantifying the interdisciplinarity of scientific journals and fields. Journal Of Informetrics, 7(2), 469 - 477. https://doi.org/10.1016/j.joi.2013.01.007
Maddox, T. M., Rumsfeld, J. S., & Payne, P. R. O.. (2019). Questions for artificial intelligence in health care. Jama, 321(1), 31. https://doi.org/10.1001/jama.2018.18932
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
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
Coelho, H. (2018). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863
Khan, S. Rafi. (2018). Reinventing capitalism to address automation: Sharing work to secure employment and income. Competition & Change, 22(4), 343 - 362. https://doi.org/10.1177/1024529418783579

Pages