Business Process Management

Predicting customer satisfaction in service processes using multilingual large language models (2024) Ließmann A, Zilker S, Weinzierl S, Sukhareva M, Matzner M Conference contribution, Conference Contribution Transfer learning for predictive process monitoring (2024) Ließmann A, Wang W, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution Predictive end-to-end enterprise process network monitoring (2023) Oberdorf F, Schaschek M, Weinzierl S, Stein N, Matzner M, Flath C Journal article, Original article 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 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 A method for predicting workarounds in business processes (2022) Weinzierl S, Bartelheimer C, Zilker S, Beverungen D, Matzner M Conference contribution, Conference Contribution Unleashing Digital Process Innovation with Process Mining: Designing a Training Concept with Action Design Research (2022) Joas A, Matzner M Conference contribution, Conference Contribution Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience (2022) Zilker S, Marx E, Stierle M, Matzner M Conference contribution, Conference Contribution Cause vs. effect in context-sensitive prediction of business process instances (2021) Brunk J, Stierle M, Papke L, Revoredo K, Matzner M, Becker J Journal article, Original article