Shengnan Han Professor
Contact
Name and title: Shengnan HanProfessor
Mail: shengnan@dsv.su.se
Phone: +4686747467
ORCID0000-0001-8477-887X Länk till annan webbplats.
Workplace: Department of Computer and Systems Sciences Länk till annan webbplats.
Visiting address Nodhuset, Borgarfjordsgatan 12
Postal address Institutionen för data- och systemvetenskap164 25 Kista
About me
I am Professor of Computer and Systems Sciences (Specialising in Information Systems) at DSV, Stockholm University. Trained in economics and information systems, with a D.Sc. from Åbo Akademi (2005), I joined Stockholm in 2011.
I study technology adoption and its impacts holistically, from individual behaviour through organisational performance to societal transformation. Early work on mobile service acceptance grew into research on digital innovation and automation — robotic process automation as a routine capability — and now on AI transformation in public organisations: how AI is made and remade in practice ("AI in the making"), how it reshapes work and governance, and what digital sovereignty means for public infrastructure.
I also work on digital government and sustainability, IT governance, and aligning AI with human values, across healthcare, law, and human geography.
I direct the BSc in Marketing & IT, am associate editor of Electronic Markets, contribute to ECIS, and am secretary to the AIS Region 2 Board.
I am responsible for the courses:
- Digital business within IT-7.5 credits
The aim of the course is to provide you as a student with the opportunity to develop your knowledge of digital business and to apply this knowledge into business problem-solving from the perspective of IT.
- Supplementary Course on Computer and Systems Sciences (SUPCOM)-15 credits
This course provides students, who do not have computer science background, with insights into systems theory and the role of information technology (IT) in society, covering its impact. Students will gain a basic knowledge of computer systems, networks, database modeling, and programming of reasonable complexity. Additionally, they will become familiar with modeling information systems at various levels and different design tools for human-computer interaction.
- I supervise and examine theses at the bachelor's and master's levels.
I research how AI and automation are transforming public organisations — how AI is made in practice, how it reshapes work and governance, and what digital sovereignty means for public infrastructure.
Advisor to Ph.D. students
- Evrim Güner (Digital innovation-RPA robot process automation) (main advisor, disputed 2026)
- Mohamed Shafraz (Digital Government and environmental sustainability)(main advisor, disputed 2023)
- Jens Ohlsson (Business Process Management/Digitalization) (main advisor, disputed 2016)
- Parisa Aasi (IT Governance) (co-advisor, Licentiate degree 2015)
Full publication list can be found at Google Scholar.
