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).
- Published
Heuristic approximation and computational algorithms for closed networks: A case study in open-pit mining
Daduna, H., Krenzler, R., Ritter, R. & Stoyan, D., 03.2018, In: Performance Evaluation. 119, p. 5-26 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector
Schmidt, J., Drews, P. & Schirmer, I., 01.01.2018, Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. Bui, T. X. (ed.). University of Hawaiʻi at Mānoa, p. 5004-5013 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2018-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Lost-customers approximation of semi-open queueing networks with backordering: An application to minimise the number of robots in robotic mobile fulfilment systems
Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K., 03.12.2019, New York, 44 p. (arXiv.org).Research output: Working paper › Working papers
- Published
Coresets for Archetypal Analysis
Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Separable models for interconnected production-inventory systems
Otten, S., Krenzler, R. & Daduna, H., 02.01.2020, In: Stochastic Models. 36, 1, p. 48-93 46 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Innovationen in der Wissensvermittlung
Groß, M., 2019, In: HR Performance. 6, p. 12-15 4 p.Research output: Journal contributions › Journal articles › Transfer
- Published
A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study
Ebenfeld, L., Kleine Stegemann, S., Lehr, D., Ebert, D. D., Funk, B., Riper, H. & Berking, M., 01.03.2020, In: Internet Interventions. 19, 10 p., 100296 .Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Zur empirischen Beforschung des mBooks Belgien: Die Chancen eines Methodenmix
Schreiber, W., Wagner, W., Trautwein, U. & Brefeld, U., 10.2019, Das Geschichtsschulbuch: Lehren – Lernen – Forschen . Kühberger, C., Bernhard, R. & Bramann, C. (eds.). Münster: Waxmann Verlag, p. 57-80 24 p. (Salzburger Beiträge zur Lehrer/innen/bildung; vol. 6).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
Personalized Transaction Kernels for Recommendation Using MCTS
Tavakol, M., Joppen, T., Brefeld, U. & Fürnkranz, J., 01.09.2019, KI 2019: Advances in Artificial Intelligence - 42nd German Conference on AI, Proceedings. Benzmüller, C. & Stuckenschmidt, H. (eds.). Wiesbaden: Springer, p. 338-352 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11793 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
From simulation to real-world robotic mobile fulfillment systems
Xie, L., Thieme, N. & Li, H., 12.2019, In: Logistics Research. 12, 1, 13 p., 9.Research output: Journal contributions › Journal articles › Research › peer-review