| A new organizational chassis for artificial intelligence-exploring organizational readiness factors L Pumplun, C Tauchert, M Heidt | 185 | 2019 |
| Coordinating Human and Machine Learning for Effective Organizational Learning. T Sturm, JP Gerlach, L Pumplun, N Mesbah, F Peters, C Tauchert, N Nan, ... MIS quarterly 45 (3), 2021 | 139 | 2021 |
| Adoption of machine learning systems for medical diagnostics in clinics: qualitative interview study L Pumplun, M Fecho, N Wahl, F Peters, P Buxmann Journal of Medical Internet Research 23 (10), e29301, 2021 | 37 | 2021 |
| Context-aware cyber-physical assistance systems in industrial systems: A human activity recognition approach E Roth, M Möncks, T Bohné, L Pumplun 2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-6, 2020 | 18 | 2020 |
| Machine learning systems in clinics–how mature is the adoption process in medical diagnostics? L Pumplun, M Fecho, N Wahl-Islam, P Buxmann | 15 | 2021 |
| Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems F Peters, L Pumplun, P Buxmann | 15 | 2020 |
| Hello, I'm here to help you N Mesbah, L Pumplun medical care where it is needed most: seniors’ acceptance of health chatbots …, 2020 | 13 | 2020 |
| Bringing machine learning systems into clinical practice: a design science approach to explainable machine learning-based clinical decision support systems L Pumplun, F Peters, JF Gawlitza, P Buxmann Journal of the Association for Information Systems 24 (4), 953-979, 2023 | 11 | 2023 |
| What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core OA Vetter, F Hoffmann, L Pumplun, P Buxmann Publications of Darmstadt Technical University, Institute for Business …, 2022 | 7 | 2022 |
| Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization T Sturm, L Pumplun, JP Gerlach, M Kowalczyk, P Buxmann The Journal of Strategic Information Systems 32 (4), 101790, 2023 | 5 | 2023 |
| “Hello, I'm here to help you”–Medical care where it is needed most: Seniors’ acceptance of health chatbots N Mesbah, L Pumplun | 5 | 2020 |
| Künstliche Intelligenz im Enterprise Service Management A Engelbrecht, L Pumplun, C Bauer, K Vida Künstliche Intelligenz: Mit Algorithmen zum wirtschaftlichen Erfolg, 149-163, 2021 | 4 | 2021 |
| Subjective decisions in developing augmented intelligence T Bohné, LT Brokop, JN Engel, L Pumplun Judgment in Predictive Analytics, 27-52, 2023 | 3 | 2023 |
| Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice M Reuter-Oppermann, C Wolff, L Pumplun | 3 | 2021 |
| Promoting Learning Through Explainable Artificial Intelligence: An Experimental Study in Radiology S Ellenrieder, EM Kallina, L Pumplun, JF Gawlitza, S Ziegelmayer, ... | 2 | 2023 |
| Acting egoistically in a crisis: How emotions shape data donations L Pumplun, A Wagner, C Olt, A Zöll, P Buxmann | 2 | 2022 |
| Intelligent Systems and Hospitals: Joint Forces in the Name of Health? L Pumplun, P Buxmann Wirtschaftsinformatik (Zentrale Tracks), 680-686, 2020 | 2 | 2020 |
| Smart Car Service Adoption: Investigating the Role of Information Privacy. L Pumplun, J Wiefel, K Wächter, N Barth, P Buxmann PACIS, 60, 2021 | 1 | 2021 |
| A Design Science Approach Towards Fair Data Donation L Pumplun, A Wagner, T Koppe, M Reuter-Oppermann | | 2024 |
| An Ambidextrous Perspective on Machine Learning Development and Operation: The Nexus of Organizational Structure, Tensions, and Tactics OA Vetter, L Pumplun, T Koppe | | 2023 |
