The Impact of Digitalization and Artificial Intelligence on Innovation and Management
Jorunn Grande / Jan Ole Similä (TBD)
tuition fees. Costs for semester registration and course literature apply.
Evaluation using final
Through this course we aim to understand how
digitalization in general and artificial intelligence in particular shapes how
management and firms are being understood. Particular emphasis will be on
identifying research questions and formulating the theoretical insights needed
to understand how digitalization and artificial intelligence impact
organizations and markets.
Avi Goldfarb – University of Toronto – Main instructor.
expert focusing on the management and economics of digitization. His latest
books include “The economics of Artificial Intelligence – an Agenda” and
“Prediction Machines – the simple economics of AI”. His work is published in
top ranked journals including American Economic Review, Management Science,
Journal of Marketing Research, and Journal of Economics and Management
professor Jan Ole Similä – Nord University – Instructor.
an expert in knowledge creation, transfer and management and the role of
knowledge in innovation. His latest project includes analyzing the knowledge
dissemination in high-tech vs low-tech firms (Competitiveness and Knowledge: An
International Comparison of Traditional Firms – Routledge). Currently he is
working with the fish farming industry on how they use digital technology to
Lars Hovdan Molden– Nord University –Molden’s research deals with how firms are able
to develop capabilities to handle changes from disruptive changes such as those
arising from digitization and AI. His latest projects researches how human
decision makers add value when machines get smarter, and how regulation of AI
affects business adoption.
professor Jorunn Grande NORD University
and professor Arild Aspelund – NTNU will also be contribute as
facilitators in the course
After completing the course
the candidates will have acquired the following:
- The candidate knows the state of the art of theoretical and empirical
work being undertaken within the field of digitization and artificial
intelligence and their impact on organizations, markets and the economy
- The candidate is able to evaluate different approaches to studying the
interaction between artificial intelligence and organizational development and
- The candidate knows the most novel empirical techniques for studying
digitization and artificial intelligence in the context of economics,
management and innovation.
- The candidate knows core theoretical development on how innovation and
strategy is shaped by digitization (largely plattforms) and artificial
- The candidate can identify gaps in the literature and formulate
relevant research questions in order to contribute to the economics, management
and/or innovation literature within the topic of the course.
- The candidate is able to clearly define the key concepts of the
literature, their interdependencies and their causal mechanisms
- The candidate is able to assess organization´s options for adopting
digitalization and artificial intelligence and can formulate relevant
capabilities for the organization.
- The candidate can identify and assess multidisciplinary connections in
studying and understanding how digitalization and artificial intelligence
- The candidate can discuss, reflect and identify ethical and societal
Must fulfill the requirements for admission to the PhD
Recommended previous knowledge:
Knowledge of core microeconomics at the undergraduate
level, management, innovation and organizations is an advantage.
Mode of delivery:
Learning activities and teaching methods:
and practice sessions
Paper (maximum 3000 words) which is graded pass/not