Digital Transformation & Artificial Intelligence II: Management & Application
Niveau
2. Study cycle, Master
Learning outcomes of the courses/module
The students:
• know the implications of digitization on leadership, organization and culture.
• are able to develop methods for the conception and implementation of digital tasks.
• can solve specific digitization cases from business practice.
• have a holistic understanding of digitization (which goes beyond the narrowing of the subject to technology and IT).
• know the implications of digitization on leadership, organization and culture.
• are able to develop methods for the conception and implementation of digital tasks.
• can solve specific digitization cases from business practice.
• have a holistic understanding of digitization (which goes beyond the narrowing of the subject to technology and IT).
Prerequisites for the course
Successful completion of the course: Digital Transformation I
Course content
• Effects of digitization on the management, organization and culture of companies based on the St. Gallen Management Model
• Presentation of proven digitization methods
• Independent development of digitization tools by students
• Solution of specific case studies of digitization
• Presentation of proven digitization methods
• Independent development of digitization tools by students
• Solution of specific case studies of digitization
Recommended specialist literature
• Kotter, John P.: Accelerate. Vahlen (in the current edition)
• Schallmo, Daniel R.; Williams, Christopher A.: Digital Transformation Now. Springer (in the current edition)
• Urbach, Nils; Röglinger, Maximilian: Digitalization Cases. Springer (in the current edition)
• 1-2 current articles from professional journals
• Schallmo, Daniel R.; Williams, Christopher A.: Digital Transformation Now. Springer (in the current edition)
• Urbach, Nils; Röglinger, Maximilian: Digitalization Cases. Springer (in the current edition)
• 1-2 current articles from professional journals
Assessment methods and criteria
project
Language
English
Number of ECTS credits awarded
4
Share of e-learning in %
25
Semester hours per week
2.0
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
2
Name of lecturer
Prof. (FH) Dr. Peter Dietrich
Academic year
Key figure of the course/module
01.MV.ABS.2.1
Type of course/module
project
Type of course
Compulsory
Internship(s)
none