Blockchain-Based Master Data Management in Supply Chains: A Design Science Study. - Jacob Lohmer; Lasse Bohlen; Rainer Lasch (APMS (4), 2021)

Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability. - Sven Kruschel; Lasse Bohlen; Julian Rosenberger; Patrick Zschech; Mathias Kraus (CoRR, 2024)

Leveraging interpretable machine learning in intensive care. - Lasse Bohlen; Julian Rosenberger; Patrick Zschech; Mathias Kraus (Ann. Oper. Res., 2025)

Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior? - Lasse Bohlen; Sven Kruschel; Julian Rosenberger; Patrick Zschech; Mathias Kraus (CoRR, 2025)

Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification. - Lukas Pätz; Moritz Beyer; Jannik Späth; Lasse Bohlen; Patrick Zschech; Mathias Kraus; Julian Rosenberger (CoRR, 2025)

I Will Survive? - Entscheidungen für Digitale Innovationen in Kleinen und Mittleren Unternehmen in Krisenzeiten. - Matthias Marzok; Lasse Bohlen; Mathias Willnat; Sascha Lichtenberg; Alfred Benedikt Brendel; Susanne Strahringer; Lutz M. Kolbe (HMD Prax. Wirtsch., 2025)