Digital Transformation & Artificial Intelligence I: Basics & Tools
Niveau
First study cycle, Bachelor
Learning outcomes of the courses/module
The participants:
• know the fundamentals, concepts and theories of digitalization.
• understand the effects of digitalization on markets, companies and business administration functions.
• can apply traditional business administration models to digital questions and reflect on them critically.
• are able to analyze digital business models and evaluate transformation processes.
• analyze digital developments, place them within broader economic contexts and assess their significance for companies and markets.
• know the fundamentals, concepts and theories of digitalization.
• understand the effects of digitalization on markets, companies and business administration functions.
• can apply traditional business administration models to digital questions and reflect on them critically.
• are able to analyze digital business models and evaluate transformation processes.
• analyze digital developments, place them within broader economic contexts and assess their significance for companies and markets.
Prerequisites for the course
None
Course content
• Introduction, basic concepts and theories of digitalization
• Factors influencing markets and companies
• Digital application and implementation methods in a business context
• The relationship with traditional business administration functions
• The transformation of markets, industries and business models
• The impact on customers, competitors and market offerings
• Reflection on and adaptation of traditional business administration theories and models
• Factors influencing markets and companies
• Digital application and implementation methods in a business context
• The relationship with traditional business administration functions
• The transformation of markets, industries and business models
• The impact on customers, competitors and market offerings
• Reflection on and adaptation of traditional business administration theories and models
Recommended specialist literature
• Stief, Sebastian; Rücker, Sebastian (Hrsg.): Digitale Transformation: Geschäftsmodelle, Erfolgsfaktoren, Best Practices; Springer Gabler (in der aktuellen Auflage)
• Gassmann, Oliver; Böhm, Johannes; Palmié, Maximilian: Digitale Transformation im Unternehmen gestalten: Geschäftsmodelle, Erfolgsfaktoren, Best Practices; Hanser Verlag (in der aktuellen Auflage)
• Porter, Michael E.; Heppelmann, James E.: Wie smarte Produkte Unternehmen verändern; Harvard Business Manager, 12/2015
• Bouncken, Ricarda; Kraus, Sascha; Roig-Dobón, Salvador (Hrsg.): Digital Business Models: Driving Transformation and Innovation; Springer (in der aktuellen Auflage)
• Gassmann, Oliver; Böhm, Johannes; Palmié, Maximilian: Digitale Transformation im Unternehmen gestalten: Geschäftsmodelle, Erfolgsfaktoren, Best Practices; Hanser Verlag (in der aktuellen Auflage)
• Porter, Michael E.; Heppelmann, James E.: Wie smarte Produkte Unternehmen verändern; Harvard Business Manager, 12/2015
• Bouncken, Ricarda; Kraus, Sascha; Roig-Dobón, Salvador (Hrsg.): Digital Business Models: Driving Transformation and Innovation; Springer (in der aktuellen Auflage)
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
Blended learning
Semester/trimester in which the course/module is offered
1