Course code INN350

INN350 Digitalisation and Digital Business Models

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Showing course contents for the educational year 2019 - 2020 .

Course responsible: Joachim Scholderer
Teachers: Mike Riess
ECTS credits: 10
Faculty: School of Economics and Business
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in the Autumn parallel. This course has teaching and evaluation in the Autumn parallel.
Course frequency: Annually
First time: Study year 2017-2018
Course contents:

Digitalisation is the strongest force in our current business environment. Digitalisation has two faces: the highly visible face of "born-digital" business models whose operations are so lean and agile that they can disrupt whole industries. The less visible face is that of digital transformation: the streamlining, standardisation and automation of business processes in existing firms, often accompanied by the restructuring and downsizing of the organisation. The course will provide participants with the knowledge, skills and general competences to develop digital business models and manage digital transformation projects. The course will consist of six parts:

  • Principles of successful digitalisation,
  • Digital business models: a closer look at platforms, eco-systems and the API economy,
  • Analysing business processes and identifying digitalisation opportunities,
  • Planning and implementing digital transformation projects,
  • Assessing and managing risks in digitalisation projects,
  • Digital leadership.

Hands-on work on real and current cases is a key part of the course. Participants will work in teams    on two case challenges, organised in close cooperation with major international businesses.

Learning outcome:


  • Understand which technological and leadership capabilities are required in modern digitalised businesses,
  • Be familiar with process management frameworks,
  • Know the building blocks of digital business models and their interdependencies,
  • Understand the strategic advantages and disadvantages of platform and ecosystem models,
  • Know important success factors in digital transformation projects.


  • Know how to monitor market trends and identify changes in customer needs that offer opportunities for digital products or services,
  • Be able to use digital business model toolboxes such as LEANSTACK,
  • Know how to measure and benchmark digital capabilities and digital leadership in an organisation,
  • Be able to plan, lead and implement digitalisation projects in established businesses and new business development contexts,
  • Be able to analyse the variability and assess the capability of business processes and identify potentials for streamlining and automation,
  • Be able to analyse and manage risks in digital transformation projects.

General competence:

  • Be able to plan, implement, monitor and evaluate projects,
  • Be able to assess the sustainability of different digital business models and make rational choices between them,
  • Understand the interdependencies between the social and technical systems in an organisation,
  • Be able to work in cross-functional project structures,
  • Understand and manage ethical and regulatory issues in digital business contexts.
Learning activities:

Lectures, workshops under supervision, flipped classroom activities, assignments and independent teamwork related to the case challenges.



Jeston, J. & Nelis, J. (2008). Business process management (2nd Ed.). Amsterdam: Elsevier.

Maurya, A. (2012). Running lean (2nd Ed.). Sebastopol, CA: O'Reilly.

Valacich, J.S., & George, J.F. (2015). Modern systems analysis and design (8th Ed.). London: Pearson.

In addition, the readings will include a selection of journal articles and case studies. The more tool-oriented parts of the course programme will be supported by online tutorials. Details will be announced on the Canvas page of the course at the beginning of the semester.

Recommended prerequisites:
STAT100 Statistics or equivalent and ECN102 Introduction to Mathematics for Economists or equivalent. 
Mandatory activity:
Two project assignments (weight: 50% each), conducted in groups of four participants, related to the case challenges. No re-sit examination will be arranged.
Nominal workload:
300 hours. This is a very work-intensive course. 
Entrance requirements:
3rd year (bachelor) or higher
Type of course:
Three lecture hours per week (September-December). In addition, intensive case work in project teams.
The course is in English if there are one or more international students. Incoming students can contact student advisors at the School of Economics and Business ( for admission to the course. 
External examiner will control the quality of syllabus, questions for the final examination, and principles for the assessment of the examination answers.
Examination details: Continuous exam: A - E / F