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

    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 contributionsJournal articlesResearchpeer-review

  2. 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/worksArticle in conference proceedingsResearchpeer-review

  3. Published
  4. 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/worksArticle in conference proceedingsResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. Published

    Innovationen in der Wissensvermittlung

    Groß, M., 2019, In: HR Performance. 6, p. 12-15 4 p.

    Research output: Journal contributionsJournal articlesTransfer

  7. 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 contributionsJournal articlesResearchpeer-review

  8. 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/worksContributions to collected editions/anthologiesResearchpeer-review

  9. 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/worksArticle in conference proceedingsResearchpeer-review

  10. 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 contributionsJournal articlesResearchpeer-review