The Impact of Digitalization and Artificial Intelligence on Innovation and Management


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 description

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.

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

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.

Date & Location

2-5 June 2020
NORD University - Steinkjer Campus