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 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. A typical master thesis process follows the following steps: Do you have your own idea for a master thesis in the topic area of the professorship? Please feel free to contact us!Master thesis
General application information
General information
Application period
Process for a master thesis
Current master thesis topics
Title
Method(s)
Supervisor
AI Envy: Exploring the Social Consequences of Unequal Enterprise AI Access
Qualitative Approach
Kimberley Pawlowski
Trust Me, I’m an Algorithm: Investigating the Consequences of Overreliance on Generative AI
Qualitative Approach
Kimberley Pawlowski
Beyond 24/7: Investigating how remote monitoring shifts informal caregiving relationships in diabetes management
Qualitative Approach
Laura Detels
From Partner to Monitor: Remote Patient Monitoring Technologies and the Redefinition of Informal Care Relationships
Qualitative Approach
Laura Detels
Making Sense of AI in Team Discussions: A Qualitative Study of Human–AI Interaction Patterns
Qualitative Analysis
Magrit Abel
Can AI Be Your Boss? Human Perceptions of AI Leadership in Teams
Quantitative Study
Magrit Abel
When AI Changes the Conversation: Understanding Behavioral Dynamics in Human-AI Teams
Quantitative Analysis
Magrit Abel
Knowing What You Don't Know? An Experimental Investigation of Knowledge Gaps in LLM Chatbot Interactions
Quantitative (Online) Experiment
Simon Hugenberg
Friend or Foe? An Experiment on the Ingroup-Outgroup Perception of AI Agents in Team Discussions
Quantitative (Online) Experiment
Simon Hugenberg
Signals of Withdrawal: How Ecosystem Orchestrators Read and Respond to Actor Disengagement
Qualitative Approach
Jonas Nienstedt
Along the Healthcare Data Journey: How Clinical, Technical, and Administrative Stakeholders Enable or Impede Data Collaboration
Qualitative Approach
Jonas Nienstedt
Date: tba Room: tba
Templates for Master thesis:Date: tba
Word and Zotero templates
Contact
Chair of Interorganizational Information Systems
Laura Detels
Platz der Göttinger Sieben 5
37073 Göttingen
laura.detels@uni-goettingen.de
+49 (0) 551 / 39-26094
MZG 7.132 (Campus Map)
Application prerequisites
Required application documents
If you are interested in a master thesis at the chair and fulfill all application requirements, please fill the application form and send your FlexNow grade sheet within the application period via
e-mail to is.thesis@uni-goettingen.de.