Tor Rolfsen Grønsund
Overview
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.
Teaching (responsible)
Teaching (modules)
- ITLED4290 - Technology and innovation management (S15-)
Publications
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.