Papers

Export 10 results:
2017
Barley, S. R., Bechky, B. A., & Milliken, F. J.. (2017). The changing nature of work: Careers, identities, and work lives in the 21 century. Academy Of Management Discoveries, 3(2), 111 - 115. https://doi.org/10.5465/amd.2017.0034
Di Prospera, A., norouzi, N., Fokaefs, M., & Litoiu, M.. (2017). Chatbots as assistants, an architectural framework. In CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering. Retrieved de https://dl.acm.org/citation.cfm?id=3172805
Mou, Y., & Xu, K.. (2017). Comparing the initial human-human and human-AI social interactions. Computers In Human Behavior, 72, 432 - 440. https://doi.org/10.1016/j.chb.2017.02.067
David, B. (2017). Computer technology and probable job destructions in Japan: An evaluation. Journal Of The Japanese And International Economies, 43, 77 - 87. https://doi.org/10.1016/j.jjie.2017.01.001
Williamson, B. (2017). Computing brains: Learning algorithms and neurocomputation in the smart city. Information, Communication & Society, 20(1), 81 - 99. https://doi.org/10.1080/1369118X.2016.1181194
Bohannon, J. (2017). The cyberscientist. Science, 357(6346), 18 - 21. https://doi.org/10.1126/science.357.6346.18
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
Markus, L. M. (2017). Datification, organizational strategy, and is research: What’s the score? . The Journal Of Strategic Information Systems, 26(3), 233 - 241. https://doi.org/10.1016/j.jsis.2017.08.003
Günther, W. Arianne, Mehrizi, M. H. Rezazad, Huysman, M., & Feldberg, F.. (2017). Debating big data: A literature review on realizing value from big data. The Journal Of Strategic Information Systems, 26(3), 191 - 209. https://doi.org/10.1016/j.jsis.2017.07.003
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N. C., et al.. (2017). A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T.. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
Salge, C., & Polani, D.. (2017). Empowerment As Replacement for the Three Laws of Robotics. Frontiers In Robotics And Ai, 4. https://doi.org/10.3389/frobt.2017.00025
Alkhatib, A., Bernstein, M. S., & Levi, M.. (2017). Examining crowd work and gig work through the historical lens of piecework. In Proceedings of the CHI Conference on Human Factors in Computing Systems (4599-4616). ACM.
Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z.. (2017). An experimental comparison of Chatbot and Human task partners. Computers In Human Behavior, 75, 461 - 468. https://doi.org/10.1016/j.chb.2017.05.045
Marjanovic, O., & Cecez-Kecmanovic, D.. (2017). Exploring the tension between transparency and datification effects of open government IS through the lens of Complex Adaptive Systems. The Journal Of Strategic Information Systems, 26(3), 210 - 232. https://doi.org/10.1016/j.jsis.2017.07.001

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