Tor Rolfsen Grønsund

Adjunct assistant professor
Image of Tor Rolfsen Grønsund
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Visiting address Gaustadalléen 23 B Ole Johan Dahls hus 0373 OSLO
Postal address Postboks 1080 Blindern 0316 OSLO


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)

  • ENT4000I - From idea to business (S14-)
  • ENT1000 - Entrepreneurship (F10-F18)

Teaching (modules)

  • ITLED4290 - Technology and innovation management (S15-)
Tags: Information systems, digital innovation, entrepreneurship, AI, datafication


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 Systems29(2), 101614.

Published July 8, 2011 2:21 PM - Last modified May 4, 2021 12:17 AM