Tor Rolfsen Grønsund
I study organizations and algorithms, data and strategy, from a socio-technical perspective. Particularly, I'm interested in the organizational uptake of data-driven and algorithmic decision-making, how organizations can leverage data as a strategic asset, shifting configurations of human-algorithm collaboration, and the (unintended) consequences of such processes for transparency and truth.
My teaching within entrepreneurship and technology and innovation management concentrates on processual, design-driven approaches to new product and market development under conditions of uncertainty.
- ITLED4290 - Technology and innovation management (S15-)
Grønsund, T. (2021). Assembling Algorithmic Decision-Making under Uncertainty: The Case of 'Edge Cases' in an Open Data Environment. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 5657).
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614.