Master thesis
General application information
General information
The process of a master thesis at the chair follows the steps depicted in Process for a master thesis. If all application requirements are met, we will gladly supervise your thesis within the limitations of our capacities. The available topics are mostly empirical studies from the research areas of the chair. All master theses must be written in English. If you have to apply outside the application period due to special circumstances (e.g. practical cooperation), please contact Prof. Dr. Manuel Trenz.
Topic selectionTopic areas for master theses include digital platforms, privacy, algorithmic management, social media, data-driven business models, crowdworking, gig economy, artificial intelligence in healthcare, digital health ecosystems, interactions with digital services, gamification and interorganizational information systems (see
also: Research and Current master thesis topics). In our first meeting, we will discuss and decide on the
specific topic together.
- Application period
- Winter term: August 1st until October 15th
- Summer term: February 1st until March 31st
- A successfully completed research seminar at the faculty
- At least one elective course in business informatics or marketing
- Current grade excerpt from FlexNow
- Filled application form (will be activated at the respective application periods)
Process for a master thesis
A typical master thesis process follows the following steps:
Current master thesis topics
| Title | Method(s) | Supervisor |
|---|---|---|
| AI, AI, Sir – Exploring the Influence of Power Dynamics in Artificial Intelligence | Online Lab Experiment | Maximilian Grüning |
| Generative AI, ChatGPT and Adobe Firefly: Curse or Blessing for Professionals’ Creativity? | Online Lab Experiment | Richard Henkenjohann |
| Delegation or Collaboration? An Examination of Different Work Modes in Human-AI-collaboration | Online Lab Experiment | Richard Henkenjohann |
| The “Informed Consent Puzzle”: How Can We Feel Informed with Too Much Information? An Investigation of the Fatigue-Effect in Data Sharing Decisions | Online Experiment | Richard Henkenjohann |
| Exit Autopilot Mode – How to Push Individuals Towards Active Decision Making in Information Systems Usage | Online Experiment | Richard Henkenjohann |
| How Organizations Can Appropriate Value from Sharing Data within Ecosystems | Case Study | Jonas Nienstedt |
| Exploring the Dynamics of Power in Data Sharing: A Case Study | Case Study | Jonas Nienstedt |
| The Influence of Digital Platform Design on Power Dynamics | Online Lab Experiment | Jonas Nienstedt |
Do you have your own idea for a master thesis in the topic area of the professorship? Please feel free to contact us!