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2025/2026  KAN-CDSCO2401U  Data, Platforms and Digitalization

English Title
Data, Platforms and Digitalization

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory (also offered as elective)
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for Digitalisation, Technology and Communication
Course coordinator
  • Ioanna Constantiou - Department of Digitalisation (DIGI)
Main academic disciplines
  • Information technology
  • Strategy
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 13-05-2025

Relevant links
Learning objectives
During the course, the students will develop analytical skills and abilities to assess developments in the digital environments due to digital technologies, and thereby improve their capabilities to engage in individual and group decision-making and solve specific business problems. Upon completion of the course, the students will be able to develop and present concrete solutions to business from data-related problems and advise firms about how to deal with the underlying challenges and opportunities.
  • Explain key concepts related to the role of data, digital platforms, and digitalization.
  • Explain how data, digital platforms, and digitalization influence markets and firms through examples based on business cases or sectoral analyses.
  • Use a set of theoretical tools to analyse the key economic, managerial, and societal impacts of data, digital platforms, and digitalization.
  • Evaluate and propose innovative solutions to business problems arising in data, digital platforms, and digitalization, considering the interplay of economic, managerial, and societal factors.
Examination
Data, Platforms and Digitalization:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Release of assignment Subject chosen by students themselves, see guidelines if any
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
The re-exam is also home written assignment, individual exam
Description of the exam procedure

During the first session the students will be prompted to decide on the business problem for the project they prepare for the exam. In the following sessions the students will be provided with feedback on how the topics of each session could relate to their project through a set of questions presented in the slides that would be discussed in the corresponding session. The option of in-person meetings for the preparation of tte exam will be offered as well.

 
Course content, structure and pedagogical approach

This course offers an in-depth exploration of the intersection of data, digital platforms, and digitalization, focusing on their economic, managerial, and societal impacts. Students will learn how the digital economy is reshaping business landscapes and transforming traditional business processes, products, and services. The course delves into the economic implications of digital platforms, examining how they drive business models, influence pricing strategies, create competitive advantages, and affect market valuations. Key topics include the role of big data in decision-making, the management of digital platforms, and the societal implications of digitalization. Students will explore how data-driven strategies enable customization, personalization, and micro-targeting and assess the impact of network externalities in digital ecosystems. Through case studies, real-world examples, and interactive discussions, students will develop an understanding of how data and digital platforms are transforming industries and society.
Research-based teaching
CBS’ programmes and teaching are research-based. The following types of research-based knowledge and research-like activities are included in this course:
Research-based knowledge
  • Classic and basic theory
  • New theory
  • Teacher’s own research
Research-like activities
  • Development of research questions
  • Analysis
  • Discussion, critical reflection, modelling
Description of the teaching methods
The course will be conducted in sessions of three time-slots (3x45). Each session is strongly based on students’ participation. Following the introduction, each session includes lectures presenting specific theoretical issues, practical examples to further the understanding of the theory as well as students’ participation in the discussions about specific business cases. CBS Learn is used for sharing documents, slides, exercises etc. as well as for interactive lessons if applicable.
Feedback during the teaching period
During the first session the students will be prompt to decide on the business idea for the project. In the following sessions the students will be provided feedback on how the topics of each session could relate to their project through a set of questions presented in the slides that would be discussed in the corresponsing session.
Student workload
Lectures 30 hours
Prepare to class 100 hours
Class presentations of business cases 30 hours
Exam and preparation 46 hours
Total 206 hours
Expected literature

The literature can be changed before the semester starts. Students are advised to find the final literature on Canvas before buying any books.

 

Textbook:

Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI: strategy and leadership when algorithms and networks run the world. Harvard Business Press.

 

Notes, articles, chapters and webpages will be handed out/made available during the course

 
Last updated on 13-05-2025