Privacy vs. Data: Business Models in the digital, mobile Economy
|Type of Lecture:||Lecture|
Content of the Course
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:
- 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
Further information at the corresponding LSF/QIS webpage of the course.
The 2nd part of this lecture series (Mobile Business II) focuses on the variety of opportunities and challenges, that are offered by mobile communication technologies and their specific properties and which need to be considered and addressed by companies and regulators. The overall objective of the course is to provide advanced knowledge about mobile applications and mobile services, ranging from technical to economic aspects. Students will be qualified to pro-actively realise inherent commercial potential and to identify and to address challenges and problems in the area of mobile business. An important facet of this is the discussion of international regulation and its implications on the development and application scenarios for mobile services.
Architectures for mobile services and their development are in the focus of the first part of the course. This includes topics such as security and privacy, usability, and the role of standardisation. The presentation of exemplary application areas will allow students to understand and question how different design aspects are considered in current scenarios. The course concludes with a state of the art overview of current mobile business research topics and activities, enabling students to understand the lines of research and to draw connections to already existing mobile business applications and scenarios.
No initial readings are required for the course.
- Thu, 28.04.22, 9 am - 5 pm, Room Casino 1.802 / Campus Westend
- Fri, 29.04.22, 9 am - 5 pm, Room Casino 1.811 / Campus Westend
- Sat, 30.04.22, 9 am - 5 pm, Room Casino 1.811 / Campus Westend
- Fri, 06.05.22, 9 am - 5 pm, Room Casino 1.811 / Campus Westend
- Sat, 07.05.22, 9 am - 5 pm, Room Casino 1.811 / Campus Westend
The course starts every day "cum tempore (ct.)
- Lecture 1: Introduction to Course and Organisation
- Lecture 2: Customer Touchpoints
- Lecture 3: Products & Services
- Lecture 4: Business Models & Innovation
- Lecture 5: Digital Business - Enablers & Platform Models
- Lecture 6: Big Four of Digital Business
- Lecture 7+8: Data Capital
- Lecture 9: Online Profiling Challenge
- Lecture 10+11: Privacy & Privacy Protection
- Lecture 12: From Data to Artificial Intelligence
- Lecture 13: Tradeoff between Privacy vs. Business Value
- Lecture 14: Course Conclusion & Takeaways
- Course Exercises
- Guest Lecture: ML Expectations vs. Reality
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