Opening the Black-Box of AI: Challenging Pattern Robustness and Improving Theorizing through Explainable AI Methods. - Dominik Stoffels; Stefan Faltermaier; Kim Simon Strunk; Marina Fiedler (ICIS, 2022)

How Explainable AI Methods Support Data-Driven Decision Making. - Dominik Stoffels; Susanne Grabl; Thomas Fischer; Marina Fiedler (Wirtschaftsinformatik, 2023)

Guiding computationally intensive theory development with explainable artificial intelligence: The case of shapley additive explanations. - Dominik Stoffels; Stefan Faltermaier; Kim Simon Strunk; Marina Fiedler (J. Inf. Technol., 2025)