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).

  1. Published

    Rezension: Handbook on Information Technology in Finance

    Niemeyer, P., 2010, In: WI.ONLINE. 01/2010, p. 35-36 2 p.

    Research output: Journal contributionsCritical reviewsResearch

  2. Published

    Riding Two Horses at The Same Time: Paradox Responses for Navigating Exploration and Exploitation in Small and Medium-Sized IT Consulting Firms

    Werner, M., Stockhinger, J., Klein, S. & Vieru, D., 2024, ICIS 2024 Proceedings: Digital Platforms for Emerging Societies. Loebbecke, C., Hsu, C. & Marabelli, M. (eds.). Atlanta: AIS eLibrary, 3090

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    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/worksContributions to collected editions/anthologiesTransfer

  4. Published
  5. Published

    Risk-Controlling und KontraG

    Piechota, S., 2001, Praxis-Lexikon Controlling. Brecht, U. (ed.). Landsberg: Verlag Moderne Industrie, p. 225-227

    Research output: Contributions to collected editions/worksArticles for encyclopediaTransfer

  6. Published

    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 contributionsCritical reviewsResearch

  7. Published

    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 contributionsJournal articlesResearchpeer-review

  8. Published

    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 anthologiesMonographsTransfer

  9. Published

    Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway

    Babaei Giglou, H., Taffa, T. A., Abdullah, R., Usmanova, A., Usbeck, R., D’Souza, J. & Auer, S., 2024, Natural Scientific Language Processing and Research Knowledge Graphs - 1st International Workshop, NSLP 2024, Proceedings. Rehm, G., Dietze, S., Schimmler, S. & Krüger, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-18 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14770 LNAI).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    Schuhhaus Görtz: Blended Learning für die Modetrends von morgen

    Groß, M. & Hentschel, M., 2011, In: Wissensmanagement. 13, 2, p. 14-15 2 p., 1848-02-2011.

    Research output: Journal contributionsJournal articlesResearchpeer-review