Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
Organisation profile
At the Institute of Information Systems (IIS) of the Leuphana University we work on innovative topics in Information Systems and Data Science. The main focus is on digital transformation, e-health, e-commerce, business analytics, sports and e-learning. Methodologically, we focus on the development and use of machine learning and artificial intelligence methods for the modeling and solution of data-driven decision problems. Additional quantitative (e.g. graphs, optimization) and qualitative (e.g. interviews, reference modeling) methods complement this spectrum. Cooperating with other universities, companies, and institutions of the civil society plays an important role in our work.
Main research areas
At the Institute of Information Systems there are currently 6 professors and numerous research assistants. Our main research areas include digital transformation, e-health, e-commerce, business analytics, sports, and e-learning. Details can be found on the websites of the work groups and in the central research database of Leuphana. The Institute of Information Systems organized a number of events and conferences at Leuphana (e.g. ITEE 2013, final round of the German National Computer Science Competition 2014, MKWI 2018).
Revisiting the richness of integrated vehicle and crew scheduling
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. & Xie, L., 10.2024, In: Public Transport. 16, 3, p. 775-801 27 p.Research output: Journal contributions › Journal articles › Research › peer-review
Rezension: Handbook on Information Technology in Finance
Niemeyer, P., 2010, In: WI.ONLINE. 01/2010, p. 35-36 2 p.Research output: Journal contributions › Critical reviews › Research
Riding Two Horses at The Same Time: Paradox Responses for Navigating Exploration and Exploitation in Small and Medium-Sized IT Consulting Firms
Werner, M., 2025.Research output: Working paper › Working papers
Risikobewusste Planung
Piechota, S., 2008, Controller-Leitfaden: Loseblattsammlung - Ordner 1. Siegwart, H. (ed.). Zürich [u.a.]: WEKA Verlag, p. 1-32 32 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Transfer
Risikoerkennung mit Hilfe von GENO-FBS: Ergebnisse einer empirischen Untersuchung und ihre Umsetzung
Jacobs, J. & Weinrich, G., 2000, In: Bankinformation und Genossenschaftsforum. 27, 7, p. 54-61 8 p.Research output: Journal contributions › Journal articles › Research
Risk-Controlling und KontraG
Piechota, S., 2001, Praxis-Lexikon Controlling. Brecht, U. (ed.). Landsberg: Verlag Moderne Industrie, p. 225-227Research output: Contributions to collected editions/works › Articles for encyclopedia › Transfer
R. Jung Architekturen zur Datenintegration – Gestaltungsempfehlungen auf der Basis fachkonzeptueller Anforderungen
Funk, B., 01.06.2007, In: Wirtschaftsinformatik. 49, 3, p. 224-225 2 p.Research output: Journal contributions › Critical reviews › Research
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Berto, F., Hua, C., Park, J., Luttmann, L., Ma, Y., Bu, F., Wang, J., Ye, H., Kim, M., Choi, S., Zepeda, N. G., Hottung, A., Zhou, J., Bi, J., Hu, Y., Liu, F., Kim, H., Son, J., Kim, H., Angioni, D., Kool, W., Cao, Z., Zhang, Q., Kim, J., Zhang, J., Shin, K., Wu, C., Ahn, S., Song, G., Kwon, C., Tierney, K., Xie, L. & Park, J., 03.08.2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Antonie, L., Pei, J. & Yu, X. (eds.). Association for Computing Machinery, p. 5278-5289 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Robustness and disturbances in public transport
Ge, L., Voss, S. & Xie, L., 04.03.2022, In: Public Transport. 14, 1, p. 191-261 71 p.Research output: Journal contributions › Journal articles › Research › peer-review
SAP exchange infrastructure for developers
Nicolescu, V., Funk, B., Heiler, M., Niemeyer, P., Wittges, H., Morandell, T., Kleine Stegemann, B. & Visintin, F., 2007, 1. ed. Bonn: Galileo Press. 341 p.Research output: Books and anthologies › Monographs › Transfer
