Papers

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Rücker, D., Hornfeck, R., & Paetzold, K.. (2018). Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system (Vol. 784, pp. 127 - 135; J. Chen, Ed.). In (Vol. 784, pp. 127 - 135). https://doi.org/10.1007/978-3-319-94346-6_12
Chen, S., Arsenault, C., & Larivière, V.. (2015). Are top-cited papers more interdisciplinary?. Journal Of Informetrics, 9(4), 1034 - 1046. https://doi.org/10.1016/j.joi.2015.09.003
Chiou, E. K., Lee, J. D., & Su, T.. (2019). Negotiated and reciprocal exchange structures in human-agent cooperation. Computers In Human Behavior, 90, 288 - 297. https://doi.org/10.1016/j.chb.2018.08.012
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
Choi, D. Y., & Kang, J. Hyeung. (2019). Introduction: The Future of Jobs in an Increasingly Autonomous Economy. Journal Of Management Inquiry, 28(3), 298 - 299. https://doi.org/10.1177/1056492619827373
Choi, D. Y., & Kang, J. Hyeung. (2019). Net job creation in an increasingly autonomous economy: The challenge of a generation. Journal Of Management Inquiry, 28(3), 300 - 305. https://doi.org/10.1177/1056492619827372
Chomanski, B. (2019). Massive technological unemployment without redistribution: A case for cautious optimism. Science And Engineering Ethics, 25(5), 1389 - 1407. https://doi.org/10.1007/s11948-018-0070-0
Willis, M., & Meyer, E. T.. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; G. Chowdhury, McLeod, J., Gillet, V., & Willett, P., Eds.). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60
Chrisinger, D. (2019). The solution lies in education: Artificial intelligence & the skills gap. On The Horizon, 27(1), 1 - 4. https://doi.org/10.1108/OTH-03-2019-096
Chuang, S., & Graham, C. Marion. (2018). Embracing the sobering reality of technological influences on jobs, employment and human resource development. European Journal Of Training And Development, 42(7/8), 400 - 416. https://doi.org/10.1108/EJTD-03-2018-0030
Cirillo, V., & Zayas, J. Molero. (2019). Labor, technology and work organization: An introduction to the forum. Journal Of Industrial And Business Economics, 46(3), 313 - 321. https://doi.org/10.1007/s40812-019-00126-w
Clément, M., & Guitton, M. J.. (2015). Users’ reactions to actions of automated programs in Wikipedia. Computers In Human Behavior, 50, 66 - 75. https://doi.org/10.1016/j.chb.2015.03.078
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
Coelho, H. (2018). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863
Colbert, A., Yee, N., & George, G.. (2016). The digital workforce and the workplace of the future. Academy Of Management Journal, 59(3), 731 - 739. https://doi.org/10.5465/amj.2016.4003
Data Science for Undergraduates. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
Duckworth, P., Graham, L., & Osborne, M.. (2019). Inferring work task automatability from AI expert evidence (V. Conitzer, Hadfield, G., & Vallor, S., Trans.). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
Nathan, L. F. (2018). Creativity, the arts, and the future of work (pp. 283 - 310; J. W. Cook, Ed.). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9

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