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, AI/machine learning, surveillance, and its consequences. Currently I'm undertaking my doctoral training on the transformation to a new generation of companies (data or AI/ML companies) and how they organize to create value and strategic advantage from data. 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 trace 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/iterative agile processes and business model structures) 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 June 17, 2021 10:25 PM