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).

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

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.

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, 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.

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).

Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal
J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems (2022).

Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing
B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International Conference on Business Process Management, 2022.

Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift
M. Caron, in: 2022 IEEE International Conference on Big Data (Big Data), IEEE, 2022.

Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models
M. Caron, F.S. Bäumer, O. Müller, in: 55th Hawaii International Conference on System Sciences (HICSS), 2022.

A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal
J.-P. Kucklick, O. Müller, in:  The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services, 2021.