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2022/2023  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 BSc/MSc in Business Administration and Information Systems, MSc
Course coordinator
  • Ioanna Constantiou - Department of Digitalisation
Main academic disciplines
  • Globalisation and international business
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 17-05-2022

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 the Information Technology (IT) 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 IT solutions by firms
  • Identify and reflect upon the strategic implications of the introduction and use of innovative IT solutions for the different market players in the industry.
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
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

Economics of information and organization in relation to digitalization, (e.g. introduction of machine learning, datafication) form the core of this course. The course will start by presenting a number of theories from industrial organisation and business economics that are prominent for managing information, efficiently, and for analysing business strategies in the digital technologies enviroments. Then, selected issues with wide impact on organizational decision making, firm’s strategy and market analysis will be presented. Indicative examples include pricing of information goods, auction design, the firm as a nexus of contracts, the role of dynamic capabilities in digital environments, and managerial cognition for  strategy making in digital environments.

Taking these topics as points of departure the course will address some fundamental economic issues for digital technology industries such as: How do firms compete with different digital technologies? How do firms exploit their strategic resources in digital environments? How can information use generate the maximum value for the customers in digital marketplaces? How can firms use information to maximise the value from contacts with other firms?  What is the role of big data 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, and thereby, improve their capabilities to engage in individual and group decision-making under uncertainty and solve specific business 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.

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.
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 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.
Teece, D. J. (2018). Business models and dynamic capabilities. Long range planning51(1), 40-49.
Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive15(2).
Rysman (2009) “The Economics of Two-Sided Markets” Journal of Economic Perspectives, 23(3) 125-143.

Last updated on 17-05-2022