Prof. Dr. Patrick Cato

MONDAL, Rahul, Evelina IGNATOVA, Jonas HEINZMANN, Minh Dung DO, Abhivanth MURALI, Daniel WALKE, Patrick CATO, Robert A. BECKER, Thomas BLEISTEIN, Gunter SAAKE, David BRONESKE und Robert HEYER, 2025. SimKit: Similarity Graphs, Eigendecomposition and Spectral Clustering in Neo4j. Proceedings: 2025 IEEE International Conference on High Performance Computing and Communications, HPCC/DSS/SmartCity/DependSys/ICESS 2025. Piscataway: IEEE, Page 985-991. ISBN 979-8-3315-6874-0. Available at: https://doi.org/10.1109/HPCC67675.2025.00145

MENDEN, Christian, Ulrich MÜLLER-STEINFAHRT, Philipp GÖLZER und Patrick CATO, 2025. Forecasting the Demand for Recycled Plastics using a Digital Twin for Regional Plastic Cycles. In: WEHNER, Rainer und Emin AKÇAOĞLU, Editors Conference Proceedings: Würzburg International Business Forum, 8th International Business Conference 2025, Balancing Innovation and Resilience in International Business, Special Focus: Tourism & Hospitality. Würzburg: Würzburg International Business Press, Page 65-68. ISBN 978-3-949864-10-0. Available at: https://wibf.thws.de/publications/conference-proceedings-books/

KAISER, Carolin, Michael JUNGBLUTH, Anna ULRICHSHOFER, Lucas KAMES und Patrick CATO, 2025. How sponsored content affects consumer decisions in AI-powered retail. NIM Insights, 7, 26-29. ISSN 2944-5981. Available at: https://www.nim.org/forschung/uebersicht-forschungsprojekte/forschungsprojekt/how-sponsored-sontent-affects-consumer-decisions-in-ai-powered-retail

KAISER, Carolin, René SCHALLNER, Michael JUNGBLUTH, Patrick CATO und Anna ULRICHSHOFER, 2024. AI-powered Digital Sales Assistants: The Future of Shopper Engagement. NIM Insights, 6, 10-13. ISSN 2944-5981. Available at: https://www.nim.org/publikationen/detail/ai-powered-digital-sales-assistants

ULRICHSHOFER, Anna, Michael JUNGBLUTH, Patrick CATO und Carolin KAISER, 2024. Digital Sales Assistants in ‘Bricks & Clicks’ – Deciphering Relative Feature Importance for Shopper Engagement. Proceedings of the European Marketing Academy: EMAC 2024 Annual. Brüssel: EMAC. Available at: https://proceedings.emac-online.org/index.cfm?eventid=48&EMAC%202024%20Annual

CATO, Patrick, 2022. A Simple Approach to Optimize S3 Object Gateways for Massive Numbers of Small File Writes. Proceedings: 2022 IEEE International Conference on Big Data. Piscataway: IEEE, Page 3186-3190. ISBN 978-1-6654-8045-1. Available at: https://doi.org/10.1109/BigData55660.2022.10020881

GÖLZNER, Philipp und Patrick CATO, 2019. Der Weg zu datengetriebenen Geschäftsprozessen: Strategische, technische und organisatorische Herausforderungen für Unternehmen. In: BECKER, Wolfgang, Brigitte EIERLE, Alexander FLIASTER, Björn IVENS, Alexander LEISCHNIG, Alexander PFLAUM und Eric SUCKY, Editors Geschäftsmodelle in der digitalen Welt: Strategien, Prozesse und Praxiserfahrungen. Wiesbaden: Springer Gabler, Page 619-631. ISBN 978-3-658-22129-4. Available at: https://doi.org/10.1007/978-3-658-22129-4_32

CATO, Patrick, Simon BRUMM, Philipp GÖLZER und Walter DEMMELHUBER, 2016. Einflüsse auf den Implementierungserfolg von NoSQL-Systemen: Erkenntnisse einer quantitativ-empirischen Untersuchung. HMD Praxis der Wirtschaftsinformatik, 53(4), 443-452. ISSN 1436-3011. Available at: https://doi.org/10.1365/s40702-016-0238-5

GÖLZER, Philipp, Patrick CATO und Michael AMBERG, 2015. Data Processing Requirements of Industry 4.0 - Use Cases for Big Data Applications. ECIS 2015 Research-in-Progress Papers. Atlanta: AIS. ISBN 978-3-00-050284-2. Available at: https://aisel.aisnet.org/ecis2015_rip/61/

GÖLZER, Philipp, Lothar SIMON, Patrick CATO und Michael AMBERG, 2015. Designing Global Manufacturing Networks Using Big Data. Procedia CIRP, 2015(33), 191-196. ISSN 2212-8271. Available at: https://doi.org/10.1016/j.procir.2015.06.035

CATO, Patrick, Philipp GÖLZER und Walter DEMMELHUBER, 2015. An investigation into the implementation factors affecting the success of big data systems. In: ISMAIL, Leila, Editors Proceedings of the 2015 11th International Conference on Innovations in Information Technology (IIT): Innovations 2015. Los Alamitos: IEEE, Page 134-139. ISBN 978-1-4673-8511-4. Available at: https://doi.org/10.1109/INNOVATIONS.2015.7381528