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2025/2026  KAN-CINTO1016U  Information Economics and Business

English Title
Information Economics and Business

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
  • Globalisation and international business
  • Information technology
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 04-02-2025

Relevant links
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • Explain how economic theories have been applied to digitally transformed markets, through examples based on business cases or sectoral analysis.
  • Use a set of theoretical tools to analyse prominent phenomena in the markets and industries due to digitalization
  • Use a set of theoretical tools to analyse economic implications from the introduction of innovative digital solutions by firms
  • Identify and reflect upon the strategic implications of the introduction and use of innovative digital solutions for the different market players in the industry
Examination
Information, Economics and Business:
Exam ECTS 7,5
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance, see also the rules about examination forms in the programme regulations.
Individual or group exam Individual exam
Size of written product Max. 5 pages
Assignment type Synopsis
Release of assignment Subject chosen by students themselves, see guidelines if any
Duration
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

The economics of information and organization in relation to digitalization (e.g., introduction of machine learning, datafication) form the core of this course. The course starts by buildings on theories from industrial economics and strategy that are prominent for managing information efficiently, and for analyzing business strategies in digital environments. Then, selected issues with wide impact on the economic environment, such as market dynamics, boundaries of the firm, interfirm relations and will be analyzed. Indicative examples include the pricing of information goods, auction design, market design, the firm as a nexus of contracts, , and managerial cognition for strategy-making in digital environments.

Taking these topics as points of departure, the course will address the how digitalization challenges fundamental economic assumptions in the economic environment. This raises questions such as: How do firms compete using different digital technologies? How do digital marketplaces differ in relation to traditional markets? How do firms exploit their strategic resources in digital environments? How can information be used to generate the maximum value for the customers in digital marketplaces? How can firms use information to maximize the value from contracts with other firms? What is the role of datafication in managerial cognition? How do business analytics improve strategy-making?

 

During the course, the students will develop analytical skills and abilities to assess industry and market developments due to digitalization, to improve their capabilities to engage in individual and group decision-making under uncertainty, and to solve specific economic problems. Upon completion of the course, the students will be able to develop and present concrete solutions to industry and market problems and advise firms about how to deal with digitalization challenges and opportunities.
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 (3 x 45 minutes). Each session is strongly based on student 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.
Feedback during the teaching period
During the first session, the students will be prompted to decide on the business idea for the project. 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.
Student workload
Lectures 30 hours
Prepare for the class - reading the literature 140 hours
Prepare for the class discussions and the mini-cases 10 hours
Exam and preparation for the exam 26 hours
Total 206 hours
Expected literature

The complete course literature will be available in Canvas before the semester starts. Students are advised to find the literature on Canvas before buying any books.


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.

 
Last updated on 04-02-2025