2024/2025
MA-MMBFO3000U Digitalization
English Title |
Digitalization |
|
Language |
English |
Course ECTS |
2 ECTS |
Type |
Mandatory |
Level |
Part Time Master |
Duration |
One Quarter |
Start time of the course |
Autumn |
Timetable |
Course schedule will be posted at
calendar.cbs.dk |
Study board |
Study Board for Full-Time MBA
|
Course
coordinator |
- Rony Medaglia - Department of Digitalisation
(DIGI)
|
Main academic
disciplines |
- Information technology
- Management
- Organisation
|
Teaching
methods |
|
Last updated on
18-06-2024
|
Learning objectives |
- Explain the transformative impacts of digitalization on
industries and business models
- Critically assess the potential of disruptive technologies
- Evaluate the use of digital technologies in key business
functions
- Formulate innovative business strategies enabled by
digitalization
|
Examination |
Digitalization:
|
Exam
ECTS |
2 |
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 |
An assigned subject is released in
class |
Duration |
Written product to be submitted on specified date
and time. |
Grading scale |
7-point grading scale |
Examiner(s) |
One internal examiner |
Exam period |
Autumn |
Make-up exam/re-exam |
Same examination form as the ordinary exam
|
Description of the exam
procedure
It is allowed to use GenAI on your exam, but you must declare
your use in an open and transparent way so assessors at all times
can distinguish between your own intellectual and autonomous
contributions and those that originate in interactions with a GenAI
platform. If you use GenAI for ideation or generation of content,
you must mention this in the methodology or introduction section of
your paper. Whenever you draw on GenAI output in the body text of
your paper, you need to declare this by leaving in both the
prompt and the relevant part of the response as well as a
citation. On top of this, you need to leave the full response as an
appendix for context.
|
|
Course content, structure and pedagogical
approach |
The increasing integration of digital technologies into the key
functions of businesses is leading to a paradigm shift. The
diffusion of digital technologies – such as Artificial
Intelligence, the Internet of Things, digital platforms, and
blockchain – is not anymore simply about providing efficiency gains
to traditional business processes, but has the potential of opening
up for the creation of new services, new business models, and
entire new industries.
This course focuses on the phenomenon of digitalization to
demonstrate how managers can draw on the novel ways in which
digitalization is transforming business. Students will be provided
with the tools to understand the transformative nature of the
digitalization phenomenon, and will draw on the analysis of
practical cases to formulate successful strategies enabled by
digitalization.
|
Description of the teaching methods |
Students will learn through a combination of
pedagogic methods.The course learning will consist of interactive
lectures, classroom discussion, online content, case discussions,
and Q&A sessions with experts from the business community.
Students will be divided into study groups who are asked to give
case presentations and structure dialogue with prominent experts
from the business community. |
Feedback during the teaching period |
Students will receive feedback continuously
throughout the course from both the teachers and their peers.
During the interactive lectures, students will receive feedback on
their learning progress through short quizzes. During the classroom
discussions, students will receive feedback on their presentations.
The teacher will be available during office hours, which students
can book in advance, to give feedback or answer questions from
students. On request, students will be able to receive feedback
after the examination day, also during the teachers’ office
hours |
Student workload |
Participating in class |
20 hours |
Preparation |
20 hours |
Examination |
10 hours |
|
Last updated on
18-06-2024