Lehrstuhl für Digital Industrial Service Systems

How to Design an Engaging Online Crowdsourcing Contest in Organizations? Lessons from a German Sportswear Company (2025) Tang W, Zilker S, Al Ghadban M, Morschheuser B, Matzner M Conference contribution Machine learning in business process management: A systematic literature review (2024) Weinzierl S, Zilker S, Dunzer S, Matzner M Journal article, Review article Conceptualizing Business Process Violations (2024) Dunzer S, Ließmann A, Stierle M, Matzner M Conference contribution, other Recent Advances in Data-Driven Business Process Management (2024) Ackermann L, Käppel M, Marcus L, Moder L, Dunzer S, Hornsteiner M, Ließmann A, et al. Other publication type A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis (2024) Zilker S, Weinzierl S, Kraus M, Zschech P, Matzner M Journal article, Original article Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values (2024) Roider J, Wang W, Zanca D, Matzner M, Eskofier B Conference contribution, Conference Contribution Why Even Participate? Actor Engagement in Automotive Data Ecosystems (2024) Bellin P Conference contribution, Conference Contribution Process Analytics Workbench (PAW) (2024) Wang W, Amann E, Matzner M, Delfmann P Conference contribution Exploring Users’ Moral Reasoning Processes and their Impact on the Continued Use of Algorithmic Systems (2024) Horneber D, Tang W, Meier F, Matzner M Conference contribution, Conference Contribution How risky is my AI system? A method for transparent classification of AI system descriptions by regulated AI risk categories (2024) Weinzierl S, Zilker S, Zschech P, Kraus M, Leibelt T, Matzner M Conference contribution, Conference Contribution