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

    Using CNNs to Detect Graphical Representations of Structural Equation Models in IS Papers

    Genz, T. & Funk, B., 09.03.2020, Entwicklungen, Chancen und Herausforderungen der Digitalisierung: Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Gronau, N., Heine, M., Krasnova, H. & Pousttchi, K. (eds.). Berlin: GITO mbH Verlag, Vol. 1. p. 115-120 6 p. 8. (WI 2020; vol. 1).

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

  2. Published

    Einen gemeinsamen Code finden

    van Deest, J. & Gegenhuber, T., 09.2019, In: DUZ Wissenschaft & Management. 9, p. 38-43 6 p.

    Research output: Journal contributionsJournal articlesResearch

  3. Published

    Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

    Becker, D., Bremer, V., Funk, B., Hoogendoorn, M., Rocha, A. & Riper, H., 11.02.2020, In: BMJ mental health. 23, 1, p. 27-33 7 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    A Framework for Applying Natural Language Processing in Digital Health Interventions

    Funk, B., Sadeh-Sharvit, S., Fitzsimmons-Craft, E. E., Trockel, M. T., Monterubio, G. E., Goel , N. J., Balantekin, K. N., Eichen, D. M., Flatt, R. E., Firebaugh, M.-L., Jacobi, C., Graham, A. K., Hoogendoorn, M., Wilfley, D. E. & Taylor, C. B., 19.02.2020, In: Journal of Medical Internet Research. 22, 2, 13 p., e13855.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research

    Dann, D., Maedche, A., Teubner, T., Mueller, B., Meske, C. & Funk, B., 2019, ICIS 2019 Proceedings: IS research methods, theorizing and philosophy of science. Association for Information Systems, 9 p. Paper ID 2785. (40th International Conference on Information Systems, ICIS 2019).

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

  6. Published

    Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research

    Ludwig, S., Funk, B. & Mueller, B., 07.01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020: Knowing What We Know: Theory, Meta-analysis, and Review. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 5675-5684 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).

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

  7. Published

    Der Interne Zins: Ein problematisches Renditemaß bei geschlossenen Fonds?

    Tiedemann, L. & Weinrich, G., 28.05.2018, In: Corporate Finance. 2018, 05-06, p. 142-151 10 p., CF1263171.

    Research output: Journal contributionsJournal articlesTransferpeer-review

  8. Published

    The Role of Network Size for the Robustness of Centrality Measures

    Martin, C. & Niemeyer, P., 01.01.2020, Complex Networks and Their Applications VIII: Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Cham: Springer Schweiz, Vol. 1. p. 40-51 12 p. (Studies in Computational Intelligence; vol. 881).

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

  9. Published

    Digital Innovation Units: Exploring Types, Linking Mechanisms and Evolution Strategies in Bimodal IT Setups

    Raabe, J.-P., Horlach, B., Drews, P. & Schirmer, I., 09.03.2020, Proceedings of WI 2020: Entwicklungen, Chancen und Herausforderungen der Digitalisierung. Gronau, N., Heine, M., Krasnova, H. & Pousttchi, K. (eds.). Berlin: GITO mbH Verlag, Vol. 1. p. 844-858 15 p. 5. (Proceedings of WI 2020; vol. 1).

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

  10. Published

    Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup

    Kortmann, F., Peitzmeier, H., Meier, N., Heger, J. & Drews, P., 10.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings: Conference proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956699. (Proceedings of IEEE Sensors; vol. 2019-October).

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