LED9000 Management of Artificial Intelligence and Digitalization

Part of NORSI Core Course Offering

June 2.-5. 2020.

ECTS credits: 7.5 
Level of course: PhD
Course type: Elective
Study location: Steinkjer.
Course coordinator: Jorunn Grande / Jan Ole Similä
Faculty:
- Avi Goldfarb, Rotman School of Management, University of Toronto
- Jorunn Grande, Handelshøgskolen, Noord Universitet
- Jan Ole Similä, Handelshøgskolen, Nord Universitet
- Arild Asplund, Handelshøgskolen, Nord Universitet og NTNU
Teaching language: English
Teaching semester: Spring 2020

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. 

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 digitalization and artificial intelligence and their impact on organizations and markets
- The candidate is able to evaluate different approaches to studying the interaction between digitalization and organizational development
- The candidate knows the most novel empirical techniques for studying digitalization and artificial intelligence in the context of economics, management and innovation. 
- The candidate knows core theoretical development on how innovation management is shaped by digitalization 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: 

Introductory knowledge of core economics, 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. 

Course literature and recommended reading

The reading list is subject to amendments at semester start.  

Ajay Agrawal, Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. USA: Harvard Business Review Press.
Bresnahan, F., & Trajtenberg, M. (1995). General purpose technologies 'Engines of growth’? Journal of Econometrics, 65, 83–108.
Campbell, J., Goldfarb, A., & Tucker, C. (2015). Privacy Regulation and Market Structure. Journal of Economics & Management Strategy, 24(1), 47–73.
Feldman, M., Kenney, M., & Lissoni, F. (2015). The New Data Frontier: Special issue of Research Policy. Research Policy, 44(9), 1629–1632. https://doi.org/10.1016/j.respol.2015.02.007
Forman, B. C., Goldfarb, A., & Greenstein, S. (2012). The Internet and Local Wages : A Puzzle. American Economic Review, 102(1), 556–575.
Forman, C., & van Zeebroeck, N. (2019). Digital technology adoption and knowledge flows within firms: Can the Internet overcome geographic and technological distance? Research Policy, 48(8), 103697. https://doi.org/10.1016/j.respol.2018.10.021
Goldfarb, A., & Tucker, C. (2019). Digital Economics, 57, 3–43.
Goldfarb, A., & Tucker, C. (2012). Privacy and Innovation. In J. Lerner & S. Stern (Eds.), Innovation Policy and the Economy Volume 12 (Vol. 12, pp. 65–89). University of Chicago Press.
Goldfarb, A., & Tucker, C. (2011). Privacy Regulation and Online Advertising. Management Science, 57(1), 57–71.
Goldfarb, A., & Tucker, C. (2017). Inequality, Privacy and Digital Market Design. In S. Kominers & A. Teytelboym (Eds.), Fair by Design. Oxford University Press.
Goldfarb, B. A., & Tucker, C. (2012). Shifts in Privacy Concerns. American Economic Review: Papers & Proceedings, 102(3), 349–353.
Helfat, C. E., & Raubitschek, R. S. (2018). Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems. Research Policy, 47(8), 1391–1399. https://doi.org/10.1016/j.respol.2018.01.019
Nathan, M., & Rosso, A. (2015). Mapping digital businesses with big data: Some early findings from the UK. Research Policy, 44(9), 1714–1733. https://doi.org/10.1016/j.respol.2015.01.008
Waldfogel, J. (2012). Copyright Research in the Digital Age: Moving from Piracy to the Supply of New Products. American Economic Review, 102(3), 337–342.
Waldfogel, J. (2012). Copyright Protection, Technological Change, and the Quality of New Products: Evidence from Recorded Music since Napster. The Journal of Law & Economics, 55(4), 715–740.


Overlapping courses: 

None





Practical information

The city of Bodø

Bodø is home to around 50,000 people and is one of the fastest growing cities in the country, with a lively urban scene.

 

Photo: David Grandorge

Getting to Bodø


  • Bodø is the hub of Nordland and can be reached by plane, train and boat. 
  • Bodø's airport is located in the city itself, making it quick and easy to fly in and out. Oslo Gardemoen is a 90 minute flight away.

Photo: Ernst Furuhatt / www.nordnorge.com

Transport in Bodø

  • The main campus is located at Mørkved, about 9 kilometers from the centre of Bodø.
  • It is easy to take the bus from the airport or city center to campus.

Accomodation in Bodø

  • At campus there is a student hotel “Nordavind” wich offers short-time rent. For more information. 
  • You may also stay at a hotel in the centre of Bodø.
  • We advise you to book accommodation as early as possible as hotels in Bodø at times are fully booked