| 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 | 112 | 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 | 32 | 2021 |
| THE IMPACT OF ARTIFICIAL INTELLIGENCE ON INDIVIDUAL PERFORMANCE: EXPLORING THE FIT BE-TWEEN TASK, DATA, AND TECHNOLOGY T Sturm, F Peters European Conference on Information Systems (ECIS), Marrakech, Morocco, June …, 2020 | 17 | 2020 |
| OPENING THE BLACK BOX: CONSUMER’S WILLINGNESS TO PAY FOR TRANSPARENCY OF INTELLIGENT SYSTEMS F Peters, L Pumplun, P Buxmann European Conference on Information Systems (ECIS), Marrakech, Morocco, June …, 2020 | 15 | 2020 |
| & Buxmann, P.(2021). Coordinating Human and Machine Learning for Effective Organizational Learning T Sturm, JP Gerlach, L Pumplun, N Mesbah, F Peters, C Tauchert MIS quarterly 45 (3), 0 | 7 | |
| 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 | 6 | 2023 |
| The Impact of CV Recommender Systems on Procedural Justice in Recruiting: An Experiment in Candidate Selection V Eitle, F Peters, A Welsch, P Buxmann | 2 | 2021 |
| Human-AI Interaction–Investigating the Impact on Individuals and Organizations F Peters Dissertation, Darmstadt, Technische Universität Darmstadt, 2022, 2023 | | 2023 |
Peter BuxmannTechnische Universität DarmstadtVerified email at is.tu-darmstadt.de
