Papers

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Conference Paper
Møller, N. L. Holten, Bjørn, P., Villumsen, J. Christoffe, Hancock, T. C. Hansen, Aritake, T., & Tani, S.. (2017). Data tracking in search of workflows (C. P. Lee, Poltrock, S., Barkhuus, L., Borges, M., & Kellogg, W., Trans.). In the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2153 - 2165). https://doi.org/10.1145/2998181.2998296
Paikari, E., & van der Hoek, A.. (2018). A framework for understanding chatbots and their future (H. Sharp, de Souza, C. R. B., Graziotin, D., Levy, M., & Socha, D., Trans.). In the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE '18 (13 - 16). https://doi.org/10.1145/3195836.3195859
von Wolff, R. Meyer, Hobert, S., & Schumann, M.. (2019). How May I Help You? – State of the Art and Open Research Questions for Chatbots at the Digital Workplace (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.013
Salehi, N., McCabe, A., Valentine, M., & Bernstein, M. S.. (2017). Huddler: Convening stable and familiar crowd teams despite unpredictable availability. In Proceedings of the Conference on Computer supported Cooperative Work and Social Media. Presented at the Proceedings of the Conference on Computer supported Cooperative Work and Social Media.
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
Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Towards a Sociological Conception of Artificial Intelligence. In Artificial General Intelligence (AGI). Presented at the Artificial General Intelligence (AGI). https://doi.org/10.1007/978-3-319-97676-1_13
Conference Proceedings
Aguirre, S., & Rodriguez, A.. (2017). Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study (J. Carlos Figueroa-García, López-Santana, E. Ramiro, Villa-Ramírez, J. Luis, & Ferro-Escobar, R., Eds.). In Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering (pp. 65 - 71). https://doi.org/10.1007/978-3-319-66963-2_7
Journal Article
J Black, S., & van Esch, P.. (2020). AI-enabled recruiting: What is it and how should a manager use it?. Business Horizons, 63, 215–226. https://doi.org/10.1016/j.bushor.2019.12.001
Kellogg, K. C., Valentine, M. A., & Christin, A.. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174
Gentili, A., Compagnucci, F., Gallegati, M., & Valentini, E.. (2020). Are machines stealing our jobs?. Cambridge Journal Of Regions, Economy And Society, 13, 153–173. https://doi.org/10.1093/cjres/rsz025
Land-Zandstra, A. M., Devilee, J. L. A., Snik, F., Buurmeijer, F., & van den Broek, J. M.. (2016). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406
Mokyr, J., Vickers, C., & Ziebarth, N. L.. (2015). The history of technological anxiety and the future of economic growth: Is this time different?. Journal Of Economic Perspectives, 29(3), 31 - 50. https://doi.org/10.1257/jep.29.3.31
Kao, Y. - F., & Venkatachalam, R.. (2018). Human and Machine Learning. Computational Economics. https://doi.org/10.1007/s10614-018-9803-z
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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