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Tor Rolfsen Grønsund

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

Research interests

Tor studies emerging technologies and digital phenomena with a view to better understanding their implications for work, organizing, and society.

Taking a practice-based approach and relational perspective, he prefers to immerse himself in the field and fringes of emerging technologies and cultures with special attention to "relationships and connections that had not previously been suspected, relationships that change actions and perspectives" (Weick, 1989).

Tor's doctoral research on how configurations of humans and algorithms evolve as firms adopt AI won Best Paper awards with both the Journal of Strategic Information Systems and the Association of Information Systems.

Teaching

Since 2010, Tor has combined emergent phenomena in the field with interdisciplinary theory to teach creative and strategic problem-solving skills in entrepreneurial settings.

Tor is currently teaching a master-level course on ideation and new ventures with the Norwegian School of Entrepreneurship program, preparing students for internships with startups in tech hubs such as San Francisco / Silicon Valley, Boston, and Toronto.

He also contribute to continuing education on technology and innovation management and regularly guest lecture executive classes on topics such as strategic leadership in collaboration with BI Norwegian Business School, among others.

Tor's work on business model innovation and value propositions has been recognised and adapted by universities such as Harvard Business School, INSEAD, UC Berkeley, MIT, and Stanford University.

Courses (responsible)

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

Courses (contributor)

  • ITLED4290 - Technology and innovation management (S15-)

Honors

  • Top 10 Scientists on Social Media in Norway, 2022 (Khrono)
  • Best IS Publication 2020, The Association of Information Systems, 2021
  • Best Paper 2020, The Journal of Strategic Information Systems, 2021
  • Shortlisted outstanding teacher in Norway, Morgenbladet 2016

Education

  • Doctoral Research Fellow (PhD), Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo
  • MSc, Innovation and Entrepreneurship (major in Informatics), Faculty of Mathematics and Natural Sciences, University of Oslo
  • BA, Information Science, Faculty of Social Sciences, University of Bergen
Tags: Practice-based research, Technology and organizing, Digital innovation, Problem-Solving

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.

Published July 8, 2011 2:21 PM - Last modified June 24, 2025 11:43 AM