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

    How to Predict Mood? Delving into Features of Smartphone-Based Data

    Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

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

  2. Published

    How to Measure the Speed of Enterprise IT? An Enterprise Architecture-based Case Study in a Very Large Enterprise

    Kanin, O. & Drews, P., 2025, Enterprise Design, Operations, and Computing : 28th International Conference, EDOC 2024, Vienna, Austria, September 10–13, 2024, Revised Selected Papers. Borbinha, J., Sales, T. P., Da Silva, M. M., Proper, H. A. & Schnellmann, M. (eds.). Cham: Springer Schweiz, p. 101-118 18 p. (Lecture Notes in Computer Science (LNCS); vol. 15409).

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

  3. Published

    How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis

    Stange, M. & Funk, B., 29.05.2015, Proceedings of the Twenty-Third European Conference on Information Systems. AIS eLibrary, 13 p.

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

  4. Published

    How Much Home Office is Ideal? A Multi-Perspective Algorithm

    Colley, M., Jansen, P., Matthiesen, J., Hoberg, H., Reger, C. & Thiermann, I., 20.09.2023, Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2023. Boll, S., Cox, A., Ludwig, T. & Cecchinato, M. E. (eds.). New York: Association for Computing Machinery, Inc, 12 p. 8. (ACM International Conference Proceeding Series).

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

  5. Published

    How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study

    Rashed, F. & Drews, P., 01.01.2021, Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer Nature Switzerland AG, p. 662-677 16 p. (Lecture Notes in Information Systems and Organisation; vol. 48 LNISO).

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

  6. Published

    How Big Does Big Data Need to Be?

    Stange, M. & Funk, B., 06.2016, Enterprise Big Data Engineering, Analytics, and Management. Atzmueller, M., Oussena, S. & Roth-Berghofer, T. (eds.). Hershey: Business Science Reference, p. 1-12 12 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  7. 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

  8. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Herausforderungen in der Wirtschaftsprüfung durch den Einsatz von Big Data-Technologien: Welche Impulse muss die Prüfungsforschung geben?

    Velte, P. & Drews, P., 26.10.2018, In: Der Betrieb. 71, 43, p. 2581-2585 5 p.

    Research output: Journal contributionsJournal articlesTransfer

  10. Published

    Hands in Focus: Sign Language Recognition Via Top-Down Attention

    Sarhan, N., Wilms, C., Closius, V., Brefeld, U. & Frintrop, S., 08.10.2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings: Proceedings. Piscataway: IEEE Electromagnetic Compatibility Society, p. 2555-2559 5 p. (Proceedings - International Conference on Image Processing, ICIP).

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