Coordinating Human and Machine Learning
this IS research · Nick Berente and Jan Recker
September 5, 202125m 7s
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Show Notes
We are joined by Jin Gerlach to talk about the paper "Coordinating Human and Machine Learning for Effective Organizational Learning," which he co-authored with Timo Sturm, Luisa Pumplun, Neda Mesbah, Felix Peters, Christoph Tauchert, Ning Nan, and Peter Buxmann. We learn about how the idea came about, what the role of simulations is in IS research, and how you can manage an ambitious paper project using Scrum principles. Sturm, T., Gerlach, J. P., Pumplun, L., Mesbah, N., Peters, F., Tauchert, C., Nan, N., & Buxmann, P. (2021). Coordinating Human and Machine Learning for Effective Organizational Learning. MIS Quarterly, 45(3), 1581-1602.