UPDATED! Pre course abstract deadline: 26 May 2020
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.
Faculty bios flyer
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.
Professor Wim Vanhaverbeke, Professor Digital Innovation and Entrepreneurship at Surrey Business School, University of Surrey
Wim has published in several international journals such as Organization Science, Research Policy, Journal of Management Studies, Small Business Economics, Journal of Business Venturing and Technovation. He was co-editor with Henry Chesbrough and Joel West of “Open Innovation: Researching a New Paradigm” (OUP, 2006) and “New frontiers in open innovation” (OUP, 2014). His current research is focusing on open innovation in SMEs, and innovation ecosystems
Professor Aija Leiponen, Professor of Innovation, Entrepreneurship and Technology at Cornell University
Aijas expertise focuses on organizational strategies in innovation, particularly Cooperation between organizations. Her work has been published in several international journals such as Industrial and Corporate change, Communications of the ACM, Research Policy, Journal of Comparative Economics among others. She is also author of the book Essays in the Economics of knowledge: Innovation, Collaboration and Organizational Complementarities. Her recent work has examined the interaction between conflict and cooperation in wireless telecommunication standard development and the nature and implications of markets for (big) data.
Dr. Nuria Oliver, Vodaphone Institute and Data-Pop Allience
Computer scientist Nuria Oliver is currently chief scientific adviser at Vodaphone Institute and chief data scientist at DataPop Allience. Her expertise in computer technolog focuses on computational models of human behavior, human computer-interactions, intelligent user interfaces, mobile computing and big data for social good. She is the first female computer scientist in Spain to be named an ACM and is also a Fellow of both the European Association of Artificial Intelligence and IEEE.
Professor Markus Fitza, Professor of Strategy and Entrepreneurship at Frankfurt, School of Finance and Management, Adjunct Professor at Nord University
Markus is a conduct researcher of strategy, corporate governance and entrepreneurship. The Academy of Management Journal, the Strategic Management Journal, the Journal of International Business Studies and the Proceedings of the Royal Society are som of the leading journals his work has been published in. World renowned media outlets such as the Wall Street Journal, the Financial Times, USA Today, NBC, der Kurier, die Wirtschaftswoche, the Guardian and the Independent has featured his academic work on management, economics, sociology, finance and biology.
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.
Associate professor Jorunn Grande, NORD University and Professor Arild Aspelund, NTNU will also contribute to the course.
Please see full program and reading list on the right handside.
Day 1: Tuesday June 2
09:00-11:30 Introduction to the course – how digital changes everything
12:30-13:30 Introduction to the economics of digitization
14:00-16:00 The role of platforms and data in management and business strategy
Day 2: Wednesday June 3
09:00 – 12:00 Open innovation in a digital economy – the role of ecosystems
13:00-16:00 General Purpose Technologies & Introduction to artificial intelligence
Day 3: Thursday June 4
09:00-10:00 How to get published in a good management journal
10:00-12:00 Management of digital transformation
13:00-16:00 Managing Artificial Intelligence: Disruption and Organizations
Day 4: Friday June 5
12:00-13:00 Digital technologies as solver of complexity
13:00-16:00 AI Policy
Day 5: Wednesday June 17
10.00 – 13.00 Group work
14.00 – 17.00 Group presentations with Avi
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
This course is online.
Date & Location
2-5 June and 17 June (follow-up) 2020 NORD University - online Zoom