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. Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

    Kahnbach, L., Lehr, D., Brandenburger, J., Mallwitz, T., Jent, S., Hannibal, S., Funk, B. & Janneck, M., 02.06.2021, In: Journal of Medical Internet Research. 23, 6, 18 p., e27989.

    Research output: Journal contributionsScientific review articlesResearch

  2. Qualität von Softwaresystemen

    Funk, B., 2010, In: WI.ONLINE. 1.2010, p. 37

    Research output: Journal contributionsCritical reviewsResearch

  3. Purchasing e-Bikes: Prioritization of Decision Factors Using AHP

    Das, H., Kaur, A. & Ilavarasan, P. V., 2023, Purchasing e-Bikes: Prioritization of Decision Factors Using AHP.

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

  4. Psychologische und ethische Facetten von Managemententscheidungen: Ein Plädoyer für Evidenzbasiertes Management

    Gleissner, W. & Piechota, S., 05.2012, In: Controller-Magazin. Mai/Juni, p. 80-87 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Propagating Maximum Capacities for Recommendation

    Boubekki, A., Brefeld, U., Lucchesi, C. L. & Stille, W., 2017, KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017 : proceedings. Cham, Schweiz: Springer Verlag, p. 72-84 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10505 LNAI).

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

  6. Prolog und relationale Datenbanken als Grundlagen zur Implementierung einer NF2-Datenbank

    Riebesehl, D., 11.1996, Lüneburg: Universität Lüneburg, 121 p. (Final; vol. 6, no. 5).

    Research output: Working paperWorking papers

  7. Prognose von Aktienkurseinbrüchen

    Jacobs, J., 2011, Frühwarnindikatoren und Risikomessung: 2. Forschungssymposium an der Leuphana Universität Lüneburg, November 2010. Lüneburg: Universität Lüneburg, p. 37-46 10 p. (FInAL; vol. 21, no. 1).

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

  8. Profitables Wachstum durch Neukundengewinnung

    Lürssen, J., 11.12.2010, In: salesbusiness. 19, 11, p. 34-35 2 p.

    Research output: Journal contributionsJournal articlesResearch