Intern
Lehrstuhl für BWL und Wirtschaftsinformatik - Prof. Dr. A. Winkelmann

Christoph Tomitza

Sprechstunde: nach Vereinbarung

Forschungsinteressen:

  • Artificial Intelligence in E-Commerce (Returns Prediction and Prevention, Dynamic Pricing, Fraud Detection)
  • Generative Artificial Intelligence (Use, Trust and Impact)
  • Hyperautomation (Process Management and Automation, Data and Process Analytics, Machine Learning)
  • Enterprise Software

Forschungsprojekte:

  • ESF-FrischNET - Frisches Wissen für Unternehmen
  • VHB: Web Programming
  • Prediction of Industrial Processes through Explainable Artificial Intelligence - pipeAI
  • EFRE - Hyperautomation Ökosystem

Publikationen:

  • Tomitza, C., Ibrahimli, U. & Herm, L.H. 2024. AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature. In Thirty-Second European Conference on Information Systems. AIS, forthcoming.
  • Tomitza, C., Spieß, S., Ibrahimli, U., Zeiß, C., Straub, L., & Winkelmann, A. 2024. Beyond E-Commerce: A Design Science Study into Crafting a Model for Customer-centric M-Commerce. In19th International Conference on Design Science Research in Information Systems and Technology. Springer, Cham, forthcoming.
  • Zeiß, C., Straub, L., Hahn, V., Lang, K., Schaschek, M., Tomitza, C., & Winkelmann, A. 2024. Designing For Banking Resilience: A DeFi E-Learning Solution. In19th International Conference on Design Science Research in Information Systems and Technology. Springer, Cham, forthcoming.
  • Schaschek, M., Gwinner, F., Neis, N., Tomitza, C., Zeiß, C., Winkelmann, A. Managing next generation BP-x initiatives. Information Systems and e-Business Management, forthcoming.
  • Tomitza, C., Schaschek, M., Straub, L. and Winkelmann, A. (2023). What is the Minimum to Trust AI?—A Requirement Analysis for (Generative) AI-based Texts. InWirtschaftsinformatik 2023 Proceedings. 35.