Papers

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Journal Article
Bednarek, A. T., Wyborn, C., Cvitanovic, C., Meyer, R., Colvin, R. M., Addison, P. F. E., et al.. (2018). Boundary spanning at the science–policy interface: the practitioners’ perspectives. Sustainability Science, 13(4), 1175 - 1183. https://doi.org/10.1007/s11625-018-0550-9
Hukal, P., Berente, N., Germonprez, M., & Schecter, A.. (2019). Bots Coordinating Work in Open Source Software Projects. Computer, 52(9), 52 - 60. https://doi.org/10.1109/MC.2018.2885970
Smith, Z. (2019). Blame the boss, not the robot. New Labor Forum, 28(2), 66 - 69. https://doi.org/10.1177/1095796019837947
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
Johnson, R. D., Stone, D. L., & Lukaszewski, K. M.. (2020). The benefits of eHRM and AI for talent acquisition. Journal Of Tourism Futures. https://doi.org/10.1108/JTF-02-2020-0013
Bailey, N. R., & Scerbo, M. W.. (2007). Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust. Theoretical Issues In Ergonomics Science, 8(4), 321 - 348. https://doi.org/10.1080/14639220500535301
Zhang, P. (2019). Automation, wage inequality and implications of a robot tax. International Review Of Economics & Finance, 59, 500 - 509. https://doi.org/10.1016/j.iref.2018.10.013
Fuei, L. King. (2017). Automation, computerization and future employment in Singapore. Southeast Asian Economies, 34(2), 388 - 399. https://doi.org/10.1355/ae34-2h
Levine, D. I. (2019). Automation as Part of the Solution. Journal Of Management Inquiry, 28(3), 316 - 318. https://doi.org/10.1177/1056492619827375
Faunce, W. A. (1965). Automation and the Division of Labor. Social Problems, 13(2), 149 - 160. https://doi.org/10.2307/798900
Birtchnell, T., & Elliott, A.. (2018). Automating the black art: Creative places for artificial intelligence in audio mastering. Geoforum, 96, 77-86. https://doi.org/10.1016/j.geoforum.2018.08.005
Shen, S., & Neyens, D. M.. (2017). Assessing drivers' response during automated driver support system failures with non-driving tasks. Journal Of Safety Research, 61, 149 - 155. https://doi.org/10.1016/j.jsr.2017.02.009
Jones, L. D., Golan, D., Hanna, S. A., & Ramachandran, M.. (2018). Artificial intelligence, machine learning and the evolution of healthcare. Bone & Joint Research, 7(3), 223 - 225. https://doi.org/10.1302/2046-3758.73.BJR-2017-0147.R1
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
Šukjurovs, I., Zvirgzdiņa, R., & Jeromanova-Maura, S.. (2019). Artificial intelligence in workplaces and how it will affect employment in Latvia. Environment. Technology. Resources. Proceedings Of The International Scientific And Practical Conference, 2, 154. https://doi.org/10.17770/etr2019vol2.4151
Saithibvongsa, P., & Yu, J. Eon. (2018). Artificial intelligence in the computer-age threatens human beings and working conditions at workplaces. Electronics Science Technology And Application, 5(3). https://doi.org/10.18686/esta.v5i3.76

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