Tor Rolfsen Grønsund
My research relates to emergent digital technology phenomena, including datafication, machine learning / AI, surveillance, and its organizational and strategic consequences. My training is primarily within qualitative interpretative research, with a preference for in-depth case studies and process-oriented perspectives, yet I'm open to other approaches such as design research, ethnography, and mixed-methods involving digital data.
In my teaching within entrepreneurship and technology and innovation management, I focus on processual and practice-based approaches to new product and market development under conditions of uncertainty. I have developed multiple courses and a framework (combining lean startup, design thinking, business model innovation, and effectuation) which ideas have been translated to and adopted by top international universities, global corporations, startup accelerators, and government agencies.
- 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.