Patterns of data-infused business model innovation R Schüritz, G Satzger 2016 IEEE 18th Conference on Business Informatics (CBI) 1, 133-142, 2016 | 120 | 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 | 102* | 2009 |
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 | 99* | 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 | 93 | 2019 |
Virtual Sensors D Martin, N Kühl, G Satzger Business & Information Systems Engineering 63 (3), 315-323, 2021 | 88 | 2021 |
Artificial intelligence and machine learning N Kühl, M Schemmer, M Goutier, G Satzger Electronic Markets 32 (4), 2235-2244, 2022 | 68 | 2022 |
Fundamentals of Service Systems J Cardoso, H Fromm, S Nickel, G Satzger, R Studer, C Weinhardt Springer, 2015 | 59 | 2015 |
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 | 52 | 2022 |
Digital nudging to overcome cognitive resistance in innovation adoption decisions C Stryja, G Satzger The Service Industries Journal 39 (15-16), 1123-1139, 2019 | 52 | 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 | 49 | 2021 |
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 | 47 | 2023 |
Value Co-Creation in Data-Driven Services: Towards a Deeper Understanding of the Joint Sphere R Schüritz, K Farrell, BW Wixom, G Satzger | 42 | 2019 |
HOW TO CULTIVATE ANALYTICS CAPABILITIES WITHIN AN ORGANIZATION?–DESIGN AND TYPES OF ANALYTICS COMPETENCY CENTERS R Schüritz, E Brand, G Satzger, J Bischhoffshausen | 40 | 2017 |
Needmining: Identifying Micro Blog Data Containing Customer Needs N Kuehl, J Scheurenbrand, G Satzger 24th European Conference of Information Systems, 2016 | 39* | 2016 |
Innovating for and with your service customers: An assessment of the current practice of collaborative service innovation in Germany P Schulteß, S Wegener, A Neus, G Satzger Procedia-Social and Behavioral Sciences 2 (4), 6503-6515, 2010 | 38 | 2010 |
Creating customer value from data: foundations and archetypes of analytics-based services F Hunke, D Heinz, G Satzger Electronic markets, 1-19, 2021 | 37 | 2021 |
Cognitive computing for customer profiling: meta classification for gender prediction R Hirt, N Kühl, G Satzger Electronic Markets 29 (1), 93-106, 2019 | 37 | 2019 |
Designing transparency for effective human-AI collaboration M Vössing, N Kühl, M Lind, G Satzger Information Systems Frontiers 24 (3), 877-895, 2022 | 36 | 2022 |
Service Analytics: Leveraging Data Across Enterprise Boundaries for Competitive Advantage H Fromm, F Habryn, G Satzger Globalization of Professional Services, 139-149, 2012 | 36 | 2012 |
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 | 36 | |