Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

City 5.0: Citizen involvement in the design of future cities (2023) Becker J, Chasin F, Rosemann M, Beverungen D, Priefer J, Brocke Jv, Matzner M, et al. Journal article Design Principles for Using Business Process Management Systems (2023) Dunzer S, Tang W, Höchstädter N, Zilker S, Matzner M Book chapter / Article in edited volumes Kollaborative datengetriebene Geschäftsmodelle: Die Gestaltung datengetriebener Geschäftsmodelle in der Automobilindustrie (2023) Bellin P, Homner N, Matzner M Conference contribution, Abstract of a poster Herausforderungen von KMU bei der Wertschöpfung auf B2B-Plattformen: Ein Scoping Review (2023) Bellin P, Nowak A, Vu DA, Pham J, Matzner M Conference contribution, Conference Contribution Design Principles for Using Business Process Management Systems (2023) Dunzer S, Tang W, Höchstädter N, Zilker S, Matzner M Conference contribution, Conference Contribution Predictive Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring (2023) Drodt C, Weinzierl S, Matzner M, Delfmann P Conference contribution, Conference Contribution Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023) Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M Conference contribution, Conference Contribution Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data (2022) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Journal article, Original article Predictive end-to-end enterprise process network monitoring (2022) Oberdorf F, Schaschek M, Weinzierl S, Stein N, Matzner M, Flath C Journal article, Original article A method for predicting workarounds in business processes (2022) Weinzierl S, Bartelheimer C, Zilker S, Beverungen D, Matzner M Conference contribution, Conference Contribution