GRA 8280 Digital Business Models (2023/2024 and 2024/2025)

GRA 8280 Digital Business Models (2023/2024 and 2024/2025)

Course code: 
GRA 8280
Strategy and Entrepreneurship
Course coordinator: 
Philipp Hukal
Course name in Norwegian: 
Digital Business Models (2023/2024 and 2024/2025)
Product category: 
EMBA Business Administration - Elective courses
2024 Spring
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

Digitization changes the business models by which companies create value for their customers and their owners. Established companies use digital technologies – such as artificial intelligence, blockchain, or the Internet of Things – to help them operate their businesses with greater speed and lower costs and, in many cases, offer their customers opportunities to co-design and co-produce products and services. Many start-up companies use digital technologies to develop new products, services and business models that disrupt the present way of doing business and take customers away from firms that cannot change and adapt. The aim of this course is to learn about the role of digital technologies in the transformation of existing business models, and how digitization enabled the emergence of online platforms and ecosystems.

Learning outcomes - Knowledge

The candidate will acquire knowledge about the elements of a business model and business model innovation. They will learn how digital technologies can transform the ways companies create and capture value, and how they enable completely new ways. In addition, they will acquire knowledge about the requirements of implementing different digital technologies into their business model.

Learning outcomes - Skills

The candidate will be able to assess business models and to recognize, evaluate, and lead business model development efforts using digital technologies.

General Competence

The candidate will be able to critical assess the capabilities and limitations of different digital technologies as well as understand their appropriate application in different business models and contexts.

Course content
  • Course overview and Introduction
  • Digital Platforms and Ecosystems
  • Information, Data, and Artificial Intelligence (AI)
  • Digital Manufacturing, Internet of Things (IoT), and 3D Printing
  • Blockchain and Supply Chain Digitization
  • Crowdsourcing, Online Communities, User-Generated Content (UGC)
Teaching and learning activities

The course will be taught through a combination of lectures and case discussions. The lectures are aimed at providing an introduction to and understanding of business model elements and different digital technologies. Using case discussions and presentations, participants will then reflect on the opportunities, challenges, and requirements of implementing these technologies to transform or develop a company’s business model. The aim of the course is to provide participants with capabilities required to develop and strategically manage both digital transformation of existing businesses, and to create new ones enabled by digital tools.

Attendance to all sessions in the course is compulsory. If you have to miss part(s) of the course you must ask in advance for leave of absence. More than 25% absence in a course will require retaking the entire course. It's the student's own responsibility to obtain any information provided in class that is not included on the course homepage/ It's learning or other course materials.

The course is a part of a full Executive MBA programme and examination in all courses must be passed in order to obtain a certificate.

In all BI Executive courses and programmes, there is a mutual requirement for the student and the course responsible regarding the involvement of the student's experience in the planning and implementation of courses, modules and programmes. This means that the student has the right and duty to get involved with their own knowledge and practice relevance, through the active sharing of their relevant experience and knowledge.

Software tools
No specified computer-based tools are required.

Granted admission to the EMBA programme. Please consult our student regulations.


Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Exam category: 
Form of assessment: 
Submission PDF
Group (2 - 4)
4 Week(s)
Written assignment in groups; counts for 30% of the final grade.
Exam code: 
GRA 82802
Grading scale: 
Examination when next scheduled course
Exam category: 
Form of assessment: 
Submission PDF
4 Week(s)
Individual written assignment; counts for 70% of the final grade
Exam code: 
GRA 82803
Grading scale: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
Student workload
32 Hour(s)
Prepare for teaching
25 Hour(s)
Student's own work with learning resources
63 Hour(s)
Self study, feedback activities/counselling and exam
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 4 ECTS credit corresponds to a workload of at least 110 hours.