Digital Transformation & Artificial Intelligence 1: Organizations & Environment
Niveau
Second cycle, master's
Learning outcomes of the courses/module
The participants:
• can explain the differences between digitization, digitalization and digital transformation.
• develop a basic understanding of the interactions between organization, technology and the corporate environment.
• identify external drivers of digital transformation.
• reflect on opportunities and risks for companies and society.
• can explain the differences between digitization, digitalization and digital transformation.
• develop a basic understanding of the interactions between organization, technology and the corporate environment.
• identify external drivers of digital transformation.
• reflect on opportunities and risks for companies and society.
Prerequisites for the course
None
Course content
• Positioning of digitization, digitalization and digital transformation
• Introduction to the fundamentals of digital transformation and artificial intelligence (AI)
• Impact on organizations and industry structures
• Overview of digital ecosystems, the platform economy and network effects
• Impact on companies
• Introduction to the fundamentals of digital transformation and artificial intelligence (AI)
• Impact on organizations and industry structures
• Overview of digital ecosystems, the platform economy and network effects
• Impact on companies
Recommended specialist literature
• Alt, R. & Hess, T.: Digital Business: Grundlagen, Geschäftsmodelle und Konzepte der digitalen Transformation, Springer Gabler (latest edition)
• 1-2 Articles from academic journals
• 1-2 Articles from academic journals
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
1