| PREDICTING FRAUDULENT INITIAL COIN OFFERINGS USING INFORMATION EXTRACTED FROM WHITEPAPERS A Dürr, M Griebel, G Welsch, F Thiesse 28th European Conference on Information Systems, 2020 | 17 | 2020 |
| A taxonomy and archetypes of business analytics in smart manufacturing J Wanner, C Wissuchek, G Welsch, C Janiesch ACM SIGMIS Database: the DATABASE for Advances in Information Systems 54 (1 …, 2023 | 10 | 2023 |
| A Consolidated Business Model Canvas of Blockchain-Based FinTech Startups: Evidence from Initial Coin Offerings G Welsch, A Dürr, F Thiesse 15th International Conference on Wirtschaftsinformatik, 2020 | 4 | 2020 |
| A PICTURE IS WORTH MORE THAN A THOUSAND PURCHASES: DESIGNING AN IMAGE-BASED FASHION CURATION SYSTEM M Griebel, G Welsch, T Greif, C Flath 27th European Conference on Information Systems, 2019 | 4 | 2019 |
| Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics P Kowalczyk, G Welsch, F Thiesse arXiv preprint arXiv:2212.02622, 2022 | 2 | 2022 |
| Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration G Welsch, P Kowalczyk arXiv preprint arXiv:2306.11771, 2023 | | 2023 |
| Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung G Welsch, M Hauser, F Thiesse 14th International Conference on Wirtschaftsinformatik, 2019 | | 2019 |
| Digital Appendix and Research Data for “A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing” J Wanner, C Wissuchek, G Welsch, C Janiesch Optimization 2, 9, 0 | | |
Frédéric ThiesseProfessor of IS Engineering, University of WuerzburgVerified email at uni-wuerzburg.de
