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2021/2022  KAN-CBUSV1705U  Understanding and Regulating Data-Driven Business Models (P)

English Title
Understanding and Regulating Data-Driven Business Models (P)

Course information
Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 100
Study board
BUS Study Board for BSc/MSc in Business Administration and Information Systems, MSc
Course coordinator
  • Jan Trzaskowski - CBS Law
Main academic disciplines
  • Business Law
  • Information technology
  • Marketing
Teaching methods
  • Face-to-face teaching
Last updated on 08-02-2021

Relevant links
Learning objectives
  • describe and discuss characteristics of data-driven business models,
  • identify and discuss concrete, relevant policy issues (legal and societal),
  • analyse legal problems based on relevant sources of law,
  • explain and compare regulatory solutions,
  • suggest, develop and reflect on regulatory solutions affecting the legal, behavioural and technological architecture of society.
Course prerequisites
A comprehensive introductory course on EU internet law or data protection law. All graduates from the DM programme at CBS meet the course prerequisites..
Examination
Understanding and regulating data-driven business models:
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 Oral group exam based on written group product
Number of people in the group 2-3
Size of written product Max. 10 pages
Assignment type Synopsis
Duration
Written product to be submitted on specified date and time.
15 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 aim of this course is to understand societal implications of data-driven business models and explore legal, behavioural and technological solutions to mitigate adverse consequences. Thus, this course lies in the intersection between law, technology and psychology.

 

In the synopsis, the students must identify a particular societal challenge relating to data-driven business models and suggest concrete solutions affecting the legal, behavioural and/or technological architecture.

 

From a legal perspective the course focuses on pursuing the aims of fundamental rights, including the right to privacy and information, through market law (unfair competition law and antitrust law). This entails comparing the underlying aims of the legislation with potential harms from the application of data-driven business models. There will also be focus on platforms and liability.

 

We focus on behaviourally informed regulatory solutions that may be achieved through either interpretation of existing law or by the introduction of new legislation or other measures that support the transparency, empowerment and liability that is necessary to protect democracy, competition (small and medium-sized businesses) and citizens/consumers.
Description of the teaching methods
Case-based teaching with focus on dialogue and discussions to encourage critical thinking. The aim is to support understanding and application of the curriculum. The students will in groups prepare cases, exercises, judgments etc. that are presented and discussed in class. Preparation for and active participation in class will improve the learning outcome for all students.
Feedback during the teaching period
Feedback between students and teachers is a natural and important part of interactive teaching that aim to encourage critical thinking. Exercises and feedback-questions will be used systematically in class to test students’ understanding as well as their ability to apply the curriculum in concrete situations. Answers from the students—as well as their questions raised during class—is used by the teachers to provide collective, oral feedback and guide students. The learning outcome of feedback depends on the student’s preparation for and participation in the teaching. Students may also take advantage of consultation/office hours (available only from full-time teachers in periods where they have teaching activities).
Student workload
Attending class session 36 hours
Reading and preparing for in-class discussion 96 hours
Preparation for cases 50 hours
Exam and preparation for individual exams 24 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 material.

 

-- Jan Trzaskowski, Your Privacy is Important to Us! (Ex Tuto 2021)

-- Eric K. Clemons, New Patterns of Power and Profit (Palgrave-Macmillan 2019)
Last updated on 08-02-2021