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
Current master thesis topics
Title | Method(s) | Supervisor |
---|---|---|
Switching Sides – How Digital Labor Platforms Algorithmically Manage Clients | Case Study | Laura Schulze |
Learning from the Best – How Workers Become Successful on Digital Labor Platforms | Case Study | Laura Schulze |
Story of a Breakup – Explaining Information Systems Discontinuance from a Relational Perspective | Scale Development, Survey | Laura Schulze |
Stress and Coping when Interacting with Biased Artificial Intelligence | Online Lab Experiment | Maximilian Grüning |
The Influence of Artificial Intelligence on Technostress and Outcomes | Online Lab Experiment | Maximilian Grüning |
The Influence of Responsible Artificial Intelligence on Medical Decision Making | Online Lab Experiment | Maximilian Grüning |
Effectiveness of Nudges to Guide IT Security Behaviors | Online Lab Experiment | Richard Henkenjohann |
Small Changes that Matter: The Effect of Framing on Risky Online Behaviors | Online Lab Experiment | Richard Henkenjohann |
Exit Autopilot Mode – How to Push Individuals Towards Active Decision Making in Information Systems Usage | Online Lab Experiment | Richard Henkenjohann |
Beyond Network Effects: The Influence of Platform Quality on User Adoption | Online Lab Experiment | Jonas Nienstedt |
Barriers and Opportunities of Sharing Energy Consumption Data - an Ecosystem Perspective | Case Study | Jonas Nienstedt |
User's Datafication on Digital Platforms: How Behavior Modification Systems Facilitate Unwanted Data Collection | Case Study / Online Lab Experiment | Jonas Nienstedt |