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Digital Transformation & Artificial Intelligence II: Management & Application
level of course unit
2. Study cycle, MasterLearning outcomes of course unit
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 and co-requisites
Successful completion of the course: Digital Transformation I
course contents
• 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 or required reading
• 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 of instruction
Englishnumber of ECTS credits allocated
4eLearning quota in percent
25course-hours-per-week (chw)
2planned learning activities and teaching methods
Blended Learning
