Short video greeting from Professor Avi Goldfarb introducing himself and the course.
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
Summarizing the economics of digitization
Advanced topics on the economics of digitization: As a General
Purpose Technology, impacts on privacy, impacts on copyrights,
Introduction to recent research on how digitization impacts on the
innovation and management of firms. (platforms, ++)
group work and preparation for next day
Exercise related to digitization—developing a research question
Introduction to artificial intelligence—drawing on Prediction
Machines and the introduction to our NBER book on AI
Introduction to recent research on how AI impacts on the innovation
and management of firms including platform strategies
Group work with own paper ideas – faculty moves around
Management artificial intelligence, emphasizing the papers that have
been presented at the NBER Economics of AI conference.
Strategy and innovation impact of AI – can machines make strategy?
Exercise on the economics of artificial intelligence – forging
Faculty dinner? Experience?
Summary of core topics and Q&A
Avi Goldfarb keynote address to conference: “How Digitalization
shapes small- and medium sized businesses outside the big cities”
Get to know
eachother exercise. Groups based on “find someone similar to you” do this
unanswered research question
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
Travel and Accommodation
Accommodation: More information to come soon.
Norsi students travel and accommodation Participants should arrange travel (economy) and transport by themselves, however all travel expenses will be refunded for NORSI students. PhD students register for the course that are not part of NORSI will have to cover their own expenses.
NORSI Travel Refund
As this course is considered a NORSI course all travel expenses etc. will be covered for NORSI students. Same procedure as for other NORSI courses. NORSI students’ refund is dependent upon completion of course work and their status as a NORSI student.
Please not that NORSI does not issues per diem (diett penger) but will refund your food expenses, so save your receipts. In order to receive your travel refund mail/scan in all your original tickets and original receipts (plane, taxi, bus etc.) to Birte. If your “home” institution has temporarily covered your travel costs, your institution may send BI/Birte and invoice (faktura) asking NORSI to cover your outstanding travel costs with copies of your receipts. (Norwegian: Hvis ditt lokal studiested legger ut for deg så kan det lokale studiestedet fakturerer BI totalt for alle sine NORSI studenter med en totalsum for reisekostnadene. Legg ved kopi av vedlegg). Please ask your institution to specify who (your name) the invoice/travel refund is for and write NORSI on the invoice. If you have any questions about this, please email Birte Horn-Hanssen.
Date & Location
2-5 June 2020:ona Situation Update: Course will most likely be held online according to plan. Information to be updated. NORD University - Steinkjer Campus