Privacy vs. Data: Business Models in the digital, mobile Economy
Basic Information
Type of Lecture: | Lecture with Exercise |
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Course: | Master |
Hours/Week: | 2 |
Credit Points: | 6 |
Language: | German |
Term: | Summer 2016 |
Lecturers: | |
Email: |
Content of the Course
Description:
Course Contents
The majority of business models in the digital economy heavily rely on the existence of user data in order to enable a value proposition for users. For instance, advertisers use data for the targeting of advertisements whereas others apply it for the personalisation of their service offerings. However, what is beneficial for businesses often becomes of a threat to the privacy of users – especially if highly sensitive data, such as location data, is collected and processed without their consent. Within the digital economy field, this course is going to explore the area of conflict between data-centric business models and user privacy. Since mobile devices accumulate a significant amount of personal data about individuals, the following topics will be covered and examined with a special focus from this „mobile“ perspective:
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- Digital data-driven business models
- Means of data collection and its threat to privacy
- Privacy and Data Protection
- Basics of Information Security
- Interplay between data and privacy within digital business models
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Further information: Official "Privacy vs. Data" Lecture QIS Page
Literature:
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- Studying how privacy regulation might impact economic activity on the advertising- supported Internet: Avi Goldfarb, Catherine E. Tucker (2011) Online Advertising, Behavioral Targeting, and Privacy, Communication of the ACM (54:5), New York, USA.
- THE TRADEOFF FALLACY - How Marketers Are Misrepresenting American Consumers And Opening Them Up to Exploitation, Joseph Turow, Michael Hennessy, Nora Draper, A Report from the Annenberg School for Communication University of Pennsylvania, USA.
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Agenda:
Time:
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- Mon, 25.04.16, 9 am - 5 pm (Room 2.202, RuW building)
- Tue, 26.04.16, 9 am - 5 pm (Room 2.202, RuW building)
- Wed, 27.04.16, 9 am - 1 pm (Room 1.801, Casino)
- Wed, 27.04.16, 1 pm - 5 pm (Room 2.202, RuW building)
- Thu, 28.04.16, 9 am - 5 pm (Room 2.202, RuW building)
- Fri, 29.04.16, 9 am - 5 pm (Room 2.202, RuW building)
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Note: The course starts every day "cum tempore" (ct.)
Downloads:
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- Lecture 1: Introduction & Course Organisation
- Lecture 2: Mobile Information & Communication Technology
- Lecture 3: Business Models, Markets and Platforms
- Lecture 4: Characteristics of Goods and Services in the Digital Economy
- Lecture 5: The “Big Four” in the Digital Economy
- Lecture 6: Online Profiling
- Lecture 7+8: Personal Data Collection & Usage
- Lecture 9+10: Privacy & Privacy Protection
- Lecture 11: (Mobile) Identity Management & Backbone Technologies of Digitalisation
- Lecture 12: Trade off between Privacy and ServiceValue
- Lecture 13: Research on Privacy, Identity and MobileBusiness
- Lecture 14: Lecture Conclusion & Written Exam Info
- Exercises
- World Café Results
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Registration:
Course Registration and Written Exam Sign-Up:
IMPORTANT NOTE:
Successfully registered course participants are IN ADDITION required to sign up for the course’s written exam.