Explainable artificial intelligence in information systems: A review of the status quo and future research directions J Brasse, HR Broder, M Förster, M Klier, I Sigler Electronic Markets 33 (1), 26, 2023 | 73 | 2023 |
Evaluating explainable Artifical intelligence–What users really appreciate M Förster, M Klier, K Kluge, I Sigler | 45 | 2020 |
Fostering human agency: A process for the design of user-centric XAI systems M Förster, M Klier, K Kluge, I Sigler | 38 | 2020 |
Capturing users’ reality: A novel approach to generate coherent counterfactual explanations M Förster, P Hühn, M Klier, K Kluge | 29 | 2021 |
User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data M Förster, P Hühn, M Klier, K Kluge Journal of Decision Systems 32 (4), 700-731, 2023 | 14 | 2023 |
Preparing for the future of work: a novel data-driven approach for the identification of future skills J Brasse, M Förster, P Hühn, J Klier, M Klier, L Moestue Journal of Business Economics 94 (3), 467-500, 2024 | 11 | 2024 |
Online peer groups–a design-oriented approach to addressing the unemployment of people with complex barriers A Felgenhauer, M Förster, K Kaufmann, J Klier, M Klier | 9 | 2019 |
Future skills: welche Kompetenzen für den Standort Baden-Württemberg heute und in Zukunft erfolgskritisch sind M Klier, B Heinrich, J Klier, J Brasse, M Förster, P Hühn, L Moestue | 7 | 2021 |
Getting to the heart of groups–analyzing social support and sentiment in online peer groups P Bedué, M Förster, M Klier, K Zepf | 5 | 2020 |
Stochastic anal sis of citation time series of emergent research topics., 1279-1291 M Förster, B Stelzer, E Schiebel from https://hdl. handle. net/1887/65236 Version: Not pplicable (or Unknown …, 2018 | 3 | 2018 |
Neue Wege bei Beratung und Arbeitsvermittlung durch Digitalisierung: Online-Chat ermöglicht Informationsaustausch und gegenseitige Unterstützung H Bähr, H Broder, M Dietz, M Förster, M Klier IAB-Kurzbericht, 2022 | 2 | 2022 |
Leveraging the power of peer groups for refugee integration: a randomized field experiment comparing online and offline peer groups M Förster, J Klier, M Klier, K Schäfer-Siebert, I Sigler Business & Information Systems Engineering, 1-17, 2021 | 2 | 2021 |
Same but Different–How Users Benefit in Online Peer Groups Depending on their User Role M Förster | 2 | 2021 |
Tell me more, tell me more: the impact of explanations on learning from feedback provided by Artificial Intelligence M Förster, HR Broder, MC Fahr, M Klier, L Fink European Journal of Information Systems, 1-23, 2025 | 1 | 2025 |
Wasn’t Expecting that–Using Abnormality as a Key to Design a Novel User-Centric Explainable AI Method T Jahn, P Hühn, M Förster International Conference on Design Science Research in Information Systems …, 2024 | 1 | 2024 |
START Foundation: Coping with Bias and Fairness when Implementing and Using an AI System C Schwenke, J Brasse, M Förster, M Klier Communications of the Association for Information Systems 54 (1), 43, 2024 | 1 | 2024 |
Exploring XAI users' needs: a novel approach to personalize explanations using contextual bandits P Schröppel, M Förster | 1 | 2024 |
Boosting benefits, offsetting obstacles–the Impact of explanations on AI users’ task performance MC Walter, HR Broder, M Förster | 1 | 2023 |
Unlocking Empowerment: An Empirical Study on the Impact of Explainable AI in Mental Health Apps S Bottesch, Y Terhorst, M Förster | | 2025 |
Improving the use of public e-services through explainability MC Fahr, M Förster, L Moestue, J Brasse, J Klier, M Klier Journal of Business Economics, 1-34, 2024 | | 2024 |