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

    Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers

    Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie: Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas

    Schmidt, J. & Drews, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. II. p. 967-978 12 p.

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

  3. Published

    Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie

    Schmidt, J. & Drews, P., 2016, In: Banking and Information Technology. 17, 1, p. 9-18 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Aussagekraft von Ratings und Prospektinformationen für geschlossene Immobilienfonds: eine empirische Studie

    Jacobs, J., 06.2014, Risikoerkennung bei geschlossenen Fonds. Hoffmann, U. (ed.). Lüneburg: Universität Lüneburg, p. 2-14 13 p. (FInAL; vol. 24, no. 1).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearch

  5. Published

    Ausgewählte Kapitel der Theoretischen Informatik

    Hoffmann, U., 2007, Lüneburg: Universität Lüneburg, 313 p. (Final; vol. 12, no. 3).

    Research output: Working paperWorking papers

  6. Published

    Ausgewählte Kapitel der Theoretischen Informatik

    Hoffmann, U., 2008, 1. ed., Lüneburg: Universität Lüneburg, 350 p. (Final).

    Research output: Working paperWorking papers

  7. Published

    Ausgewählte Kapitel der Theoretischen Informatik

    Hoffmann, U., 2003, Lüneburg: Universität Lüneburg, 262 p. (Final).

    Research output: Working paperWorking papers

  8. Published

    Ausgewählte Kapitel der Theoretischen Informatik

    Hoffmann, U., 08.2002, Lüneburg: Universität Lüneburg, 255 p. (Final; vol. 12, no. 3).

    Research output: Working paperWorking papers

  9. Published

    A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation

    Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations

    Tavakol, M. & Brefeld, U., 30.12.2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18 – 22, 2017; Proceedings, Part II. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer Verlag, Vol. 2. p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10535 LNAI).

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

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