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2022/2023  KAN-CSAMO1003U  Business Models for Digital Platform Ecosystems

English Title
Business Models for Digital Platform Ecosystems

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Full Degree Master
Duration One Quarter
Start time of the course Second Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Michel Van der Borgh - Department of Marketing (Marketing)
Main academic disciplines
  • Marketing
  • Project and change management
  • Strategy
Teaching methods
  • Blended learning
Last updated on 24-06-2022

Relevant links

Learning objectives
  • Understand, reflect upon, and contrast different business model approaches.
  • Understand different types of digital business models (open innovation, user-generated content, IoT, sharing economy models, social commerce, etc.).
  • Identify, design, plan, and assess innovative business models in digitally enabled environments (i.e., for new digital platforms and for existing firms).
  • Understand and use digital business models frameworks to align a company’s offering across multiple channels and platforms (customer journey management).
  • Apply the theoretical knowledge on business modeling to practical business cases.
  • Follow academic conventions in your presentation.
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved (see section 13 of the Programme Regulations): 1
Compulsory home assignments
The student must get 1 out of 2 assignments/activities approved in order to attend the ordinary exam.

1. Weekly assignments: Using a running case students will work on weekly assignments in groups of 4-5 students (i.e., each assignment requires students to write a 3-page report). There are 5 weekly assignments in total. During a tutorial/ workshop session students are able to work on the assignments and get advice and feedback from faculty. After each weekly assignment, faculty assess the work. In a feedback session, peer-to-peer reviewing is performed (is mix of both online as in class) which is followed up by a plenary discussion.

2. Final video pitch + report: In the sixth week, the groups are asked to prepare and hand in a final report (PowerPoint, max 10 slides) plus a video pitch of max. 2 minutes. The material is assessed by faculty and feedback is provided to the groups. During a final session 3 groups are selected to pitch their final proposal after which a plenary discussion is held. Plenary feedback is provided to the students.

Students will not have extra opportunities to get the required number of compulsory activities approved prior to the ordinary exam. If a student has not received approval of the required number of compulsory activities or has been ill, the student cannot participate in the ordinary exam.
If a student prior to the retake is still missing approval for the required number of compulsory activities and meets the pre-conditions set out in the program regulations, an extra assignment is possible.

The extra assignment is a 10 page home assignment that will cover the required number of compulsory activities. If approved, the student will be able to attend retake.
Business Models for Digital Platform Ecosystems:
Exam ECTS 7,5
Examination form Oral exam
Individual or group exam Individual exam
Duration 20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Preparation time No preparation
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach


The course supports students in understanding the “business model” concept for platform-based ecosystems and in developing the ability to assess, design, and update business models and customer journeys in digitally enabled customer environments. The Internet-of-Things and digital platforms (e.g., Twitter, Facebook, Google) allow for many new and innovative business model opportunities. The goal of this course is to equip students with relevant knowledge for contributing to the academic discourse on customer and business development and for pursuing a career as “state of the art” digital marketing expert. 



This course confronts students with and prepares them for a complex digitally enabled ecosystem reality in which the concept of “business model” can have many meanings. Business models based on two-sided or multi-sided platforms are disrupting the competitive environment, be it for goods suppliers, system integrators, information and technology companies, or customers. More and more the ecosystem (instead of the firm) becomes the level where value is created and appropriated. Therefore, it becomes more complex and challenging for focal firms to develop business models that help them to create and appropriate value.


In this course, students will be trained to utilize state-of-the-art theories and tools on two-sides platforms, business models, and customer journey to identify, design, and assess disruptive digital platforms.


The theoretical discussion will be complemented with hands-on applications in real-life cases. As such, the course will prepare students for a challenging career in digitally enabled business environment.


Course progression
Business Models for Digital Platform Ecosystems is a foundation course in the study program.

Description of the teaching methods
The course uses blended learning: that is, we combine online material and lectures with in-class discussions and workshops. Blended learning (the mix of online and offline platforms) creates a powerful learning environment for students, which we intend to use to its fullest potential.

The course consists of online lectures and materials, case discussions, and online/offline case-based and general discussions, and online peer graded assignments. The class is highly interactive both online and offline with a corresponding expectation that students engage in these interactions
Feedback during the teaching period
During tutorial sessions students will get feedback from peers and the teachers. At the end of the course a Q&A session is planned.
Student workload
Teaching 33 hours
Preparation 123 hours
Exam 50 hours
Last updated on 24-06-2022