| Patterns of data-infused business model innovation R Schüritz, G Satzger 2016 IEEE 18th Conference on Business Informatics (CBI) 1, 133-142, 2016 | 137 | 2016 |
| Technological innovation and its impact on business model, organization and corporate culture–IBM’s transformation into a globally integrated, service-oriented enterprise M Jetter, G Satzger, A Neus Business & Information Systems Engineering 1 (1), 37-45, 2009 | 111* | 2009 |
| Virtual Sensors D Martin, N Kühl, G Satzger Business & Information Systems Engineering 63 (3), 315-323, 2021 | 105 | 2021 |
| Datatization as the next frontier of servitization–Understanding the challenges for transforming organizations R Schüritz, S Seebacher, G Satzger, L Schwarz International Conference On Information Systems (ICIS), 2017 | 103* | 2017 |
| Machine Learning in Artificial Intelligence: Towards a Common Understanding N Kühl, M Goutier, R Hirt, G Satzger Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019 | 102 | 2019 |
| Artificial intelligence and machine learning N Kühl, M Schemmer, M Goutier, G Satzger Electronic Markets 32 (4), 2235-2244, 2022 | 100 | 2022 |
| Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations M Schemmer, N Kuehl, C Benz, A Bartos, G Satzger Proceedings of the 28th International Conference on Intelligent User …, 2023 | 76 | 2023 |
| Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making M Schemmer, P Hemmer, N Kühl, C Benz, G Satzger arXiv preprint arXiv:2204.06916, 2022 | 69 | 2022 |
| Fundamentals of Service Systems J Cardoso, H Fromm, S Nickel, G Satzger, R Studer, C Weinhardt Springer, 2015 | 64 | 2015 |
| Designing transparency for effective human-AI collaboration M Vössing, N Kühl, M Lind, G Satzger Information Systems Frontiers 24 (3), 877-895, 2022 | 62 | 2022 |
| Data-centric artificial intelligence J Jakubik, M Vössing, N Kühl, J Walk, G Satzger Business & Information Systems Engineering, 1-9, 2024 | 57 | 2024 |
| Digital nudging to overcome cognitive resistance in innovation adoption decisions C Stryja, G Satzger The Service Industries Journal 39 (15-16), 1123-1139, 2019 | 56 | 2019 |
| How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card N Kühl, R Hirt, L Baier, B Schmitz, G Satzger Communications of the Association for Information Systems 48 (1), 46, 2021 | 52 | 2021 |
| Value Co-Creation in Data-Driven Services: Towards a Deeper Understanding of the Joint Sphere R Schüritz, K Farrell, BW Wixom, G Satzger | 51 | 2019 |
| Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction P Hemmer, M Westphal, M Schemmer, S Vetter, M Vössing, G Satzger Proceedings of the 28th International Conference on Intelligent User …, 2023 | 48 | 2023 |
| Barriers to Data Sharing among Private Sector Organizations MK Fassnacht, C Benz, D Heinz, J Leimstoll, G Satzger Hawaii International Conference on Systems Sciences (HICSS-56), 2023 | 48 | 2023 |
| Creating customer value from data: foundations and archetypes of analytics-based services F Hunke, D Heinz, G Satzger Electronic markets, 1-19, 2021 | 47 | 2021 |
| HOW TO CULTIVATE ANALYTICS CAPABILITIES WITHIN AN ORGANIZATION?–DESIGN AND TYPES OF ANALYTICS COMPETENCY CENTERS R Schüritz, E Brand, G Satzger, J Bischhoffshausen | 42 | 2017 |
| Needmining: Identifying Micro Blog Data Containing Customer Needs N Kuehl, J Scheurenbrand, G Satzger 24th European Conference of Information Systems, 2016 | 42* | 2016 |
| How to Cope with Change? Preserving Validity of Predictive Services over Time L Baier, N Kühl, G Satzger Hawaii International Conference on System Sciences (HICSS-52) 2019, 0 | 41 | |
Axel KieningerKarlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
