The Impact of Digitalization and Artificial Intelligence on Innovation and Management


Course details

Corona Situation Update: Course will most likely be held online according to plan. Information to be updated when we know more from Nord University.

ECTS credits: 7.5

Study location: Steinkjer.

Course coordinator: Jorunn Grande / Jan Ole Similä (TBD)

Teaching language: English

Costs: No tuition fees. Costs for semester registration and course literature apply.

Course evaluation: Evaluation using final survey

Course page Nord University: Click here

Application Deadline: April 15th

Application Form: Click here

Pre course abstract deadline: May 19th

Course description

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.

Course Faculty

Professor Avi Goldfarb – University of Toronto – Main instructor.

International 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 Strategy.

Associate professor Jan Ole Similä – Nord University – Instructor.

Similä is 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 enhance productivity.

Researcher 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.

Associate professor Jorunn Grande NORD University  and professor Arild Aspelund – NTNU will also be contribute as facilitators in the course

Course Program

Prelimnary overview:

Dag 1 Tuesday June 2nd
08.30 – 12.00 Summarizing the economics of digitization
13.00- 16.00 Advanced topics on the economics of digitization: As a General Purpose Technology, impacts on privacy, impacts on copyrights,
17.00- 19.00 Introduction to recent research on how digitization impacts on the innovation and management of firms. (platforms, ++)
Start group work and preparation for next day
Dag 2 Wednesday June 3rd
08.30 – 12.00 Exercise related to digitization—developing a research question
13.00- 16.00 Introduction to artificial intelligence—drawing on Prediction Machines and the introduction to our NBER book on AI
17.00- 19.00 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
Dag 3 Thursday June 4th
08.30 – 12.00 Management artificial intelligence, emphasizing the papers that have been presented at the NBER Economics of AI conference.
13.00- 16.00 Strategy and innovation impact of AI – can machines make strategy?
17.00- 19.00 Exercise on the economics of artificial intelligence – forging research questions   Faculty dinner? Experience?
Dag 4 Friday June 5th
08.30 – 11.00 Summary of core topics and Q&A
11.30 – 13.00 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 several times.

Find unanswered research question

Find project

Learning Outcomes

After completing the course the candidates will have acquired the following:

Knowledge

  • 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 strategy.
  • 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 intelligence

Skills

  • 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

General competence

  • 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 impact organizations
  • The candidate can discuss, reflect and identify ethical and societal issues

Prerequisites

Must fulfill the requirements for admission to the PhD program

Recommended previous knowledge:

Knowledge of core microeconomics at the undergraduate level, management, innovation and organizations is an advantage.

Mode of delivery:

Face-to-face

Learning activities and teaching methods:

Lectures and practice sessions

Assessment:

Paper (maximum 3000 words) which is graded pass/not pass.

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

Course information

Course Flyer

Download (PDF, 867KB)

Course Content and Reading List

Download (PDF, 41KB)

Preliminary Program

Download (PDF, 99KB)