Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?
K. Brennig, S.B. Kaltenpoth, O. Müller, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2025.

Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.

Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes
K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.

Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study
M. Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).

Not your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML
K. Bösch, O. Müller, M. Weinmann, in: Proceedings of the Symposium on Statistical Challenges in Electronic Commerce Research, 2024.

Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment
S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.

Digital Responsibility – a Multilevel Framework for Responsible Digitalization
D. Beverungen, D. Kundisch, M. Mirbabaie, O. Müller, G. Schryen, S.T.-N. Trang, M. Trier, Business &; Information Systems Engineering 65 (2023) 463–474.

Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time
D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization
D. Leffrang, in: International Conference on Information Systems, 2023.

The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization
D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.

Event Recommendations through the Lens of Vision and Language Foundation Models
H. Halimeh, F. Freese, O. Müller, in: Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems, 2023.

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features
H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach
R. Reimann, M. Caron, in: Wirtschaftsinformatik, 2023.

More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency
K. Brennig, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?
K. Brennig, K. Benkert, B. Löhr, O. Müller, in: Business Process Management Workshops, 2023.

HIEF: a holistic interpretability and explainability framework
J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.

A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities
J. Brock, B. Löhr, K. Brennig, T. Seger, C. Bartelheimer, S. von Enzberg, A. Kühn, R. Dumitrescu, in: European Conference on Information Systems (ECIS), 2023.

Visual Interpretability of Image-based Real Estate Appraisal
J.-P. Kucklick, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.

Towards a model- and data-focused taxonomy of XAI systems
J.-P. Kucklick, in: Wirtschaftsinformatik 2022 Proceedings, 2022.

Shifting ML value creation mechanisms: A process model of ML value creation
A. Shollo, K. Hopf, T. Thiess, O. Müller, The Journal of Strategic Information Systems 31 (2022).