Matching Platform for Practice-Oriented Theses
This research project develops an AI-based platform that matches students, companies, and instructors for practice-oriented theses. It investigates how data-driven LLMs can enable scalable, multidimensional matching processes between academic research and industry challenges.
Conversational AI
The Competence Center hosts regular workshops to derive good practices in the areas of Conversational AI-ready IT Architecture, Change Management, and Governance.
Data Management & Analytics
The Data Management & Analytics Community establishes networking between data & analytics leaders from large financial institutions for discussing current issues and workable solutions.
GenAI in Business
The competence center focuses on questions such as which use cases are suitable for GenAI in businesses, how to design strategic and organizational integration successfully, how to identify and manage potential risks, and which methods are appropriate for measuring performance and effectiveness.
Improving students’ argumentation skills using dynamic machine-learning–based modeling (2025)
Wambsganss, T., Janson, A., Söllner, M., Koedinger, K., & Leimeister, J. M.
Self-organization and governance in digital platform ecosystems: An information ecology approach (2025)
Engert, M., Hein, A., Maruping, L. M., Thatcher, J. B., & Krcmar, H.
Orchestration logics for artificial intelligence platforms: From raw data to industry-specific applications (2025)
Weber, M., Hein, A., Weking, J., & Krcmar, H.
Next-generation IS research methods–towards a better understanding of complex and dynamic phenomena… and generative AI as the elephant in the room (2025)
Blohm, I., Miranda, S., Ho, S. Y., & Leimeister, J. M.
Stairway to heaven or highway to hell: A model for assessing cognitive automation use cases (2024)
Engel, C., Elshan, E., Ebel, P., & Leimeister, J. M.
Generativity and profitability on B2B innovation platforms: A simulation-based theory development (2024)
Haki, K., Tanriverdi, H., Safaei, D., Schmid, M., Aier, S., & Winter, R.