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
| Titel | Method(en) | Betreuer:in |
|---|---|---|
| When Do We Take Responsibility for AI? An Experimental Investigation of Different Work Modes | Online Lab Experiment | Richard Henkenjohann |
| Delegation or Collaboration? An Examination of Different Work Modes in Human-AI-collaboration | Design Science Research, Online Experiment | Richard Henkenjohann |
| Is it Really Just Data? Investigating the Social Implications of Data Design | Online Experiment | Jonas Nienstedt |
| The Role of Power in Data Ecosystems | Case Study | Jonas Nienstedt |
| Navigating Stressors of Data Ecosystems: Insights into Their Origins and Effects | Online Lab Experiment | Jonas Nienstedt |
| Keeping AI Close? Investigating Employee Transparency About Generative AI Use in the Workplace | Qualitative Approach | Kimberley Pawlowski |
| Development of a Measurement Tool for Digital Competencies in the Healthcare Sector | Scale Development | Magrit Abel |
| Cognitive Stimulation or Restriction? The Influence of AI Input on Team Processes in Creative Tasks | Online Experiment | Magrit Abel |
| Unraveling the Double Trouble: Understanding Empowerment Dynamics in Dyadic Digital Healthcare Relationships | Qualitative Approach | Laura Detels |
Do you have your own idea for a master thesis in the topic area of the professorship? Please feel free to contact us!