Tor Rolfsen Grønsund
Research interests
My research focuses on organizations and algorithms, data and strategy, and their dynamic relationship. I'm particularly interested to understand how organizations can combine humans and algorithms to leverage data as a strategic asset, and the performative implications of such practices for both transparency, inclusion, and truth. This includes examining the socio-technical practices and processes which artificial intelligence (AI) spring from; shifting configurations of human-machine collaboration; feedback mechanisms as a source of data-driven strategic advantage; and the implications of classification and categorization as it is propelled by the adoption of AI. I draw primarily on information systems and organizational studies, but my research also crosses with strategy, entrepreneurship, and science and technology studies (STS).
My research on the organizational uptake of AI and human-centered approaches to AI, overlap my teaching on entrepreneurship and innovation, in which I concentrate on processual, design-driven approaches to new product and market development under conditions of uncertainty.
Teaching (responsible)
Guest lecturing
- ITLED4290 - Technology and innovation management (S15-)
Publications
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614.