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| Detailed information |
| Original study plan |
Master's programme Economic and Business Analytics 2025W |
| Learning Outcomes |
Competences |
Students will be trained to:
- Use Industrial Organization and Game Theory to assess digital market strategies and regulatory decisions.
- Analyze real-world digital business cases through academic and theoretical perspectives.
Course Goals
This course provides an in-depth exploration of digital markets, focusing on theoretical Industrial Organization and Game Theory. Students will develop the tools necessary to analyze business models, pricing strategies, and market dynamics in digital markets, with attention to the regulatory challenges and management decisions affecting these markets.
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| Skills |
Knowledge |
Students will be able to:
- Apply theoretical models to assess digital business strategies.
- Evaluate economic implications of market imperfections, such as information asymmetry and network externalities.
- Understand the role of consumer data and privacy in shaping digital market outcomes.
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Students will have a strong understanding of the key theoretical frameworks that drive the analysis of digital markets, including pricing strategies, network effects, and market intermediation.
Course Content
- Pricing Strategies and Consumer Segmentation
Explore topics such as personalized pricing, behavior-based price discrimination, online advertising, and targeting.
- Product Quality and Information
Study branding, reputation, and the role of consumer information in digital markets.
- Networks, Standards, and Systems
Analyze the impact of network effects, standardization, and system compatibility on market competition.
Discuss two-sided markets, platform business models, and the role of reputation systems and search engines in digital market coordination.
Investigate the balance between privacy concerns and business strategies, with implications for regulation and consumer trust in digital markets.
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| Criteria for evaluation |
Final Exam (75%):
The final written exam (75 minutes) will assess students' comprehensive understanding of the course content, including their ability to apply theoretical models to real-world scenarios in digital markets.
Scientific Paper Presentations (25%):
Students will be evaluated on the quality of their scientific paper presentation, with emphasis on clear explanation, critical analysis, and the ability to engage classmates in a meaningful discussion of the research.
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| Methods |
Interactive Lecture:
The course will combine lectures with interactive discussions, case studies, and real-world examples to engage students in problem-solving activities.
Scientific Paper Presentations:
Students will select a scientific paper related to course topics, present its key findings, methodology, and implications, and lead a class discussion on the research's relevance to digital markets.
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| Language |
English |
| Study material |
Belleflamme und Peitz, Industrial Organization: Markets and Strategies (2015)
Bar-Isaac und Tadelis: Seller Reputation (2008)
Acquist, Taylor, und Wagman, Economics of Privacy (2016)
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
977DIGEEDMK19: KS Economics of Digital Markets (2019W-2021S)
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