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Institute of Information Systems

Organisational unit: Institute

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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).

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  1. 2020

  2. 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 contributions › Journal articles › Research › peer-review

  3. 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 Hawaii at Manoa, p. 5675-5684 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  4. 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 contributions › Journal articles › Research › peer-review

  5. 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/works › Article in conference proceedings › Research › peer-review

  6. Enhancing Information Governance with Enterprise Architecture Management: Design Principles Derived from Benefits and Barriers in the GDPR Implementation

    Burmeister, F., Huth, D., Drews, P., Schirmer, I. & Matthes, F., 01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020: IT Governance and its Mechanisms. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 5593-5602 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  7. Everyone’s Going to be an Architect: Design Principles for Architectural Thinking in Agile Organizations

    Horlach, B., Drechsler, A., Schirmer, I. & Drews, P., 01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 6197-6206 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  8. Assessing User Behavior by Mouse Movements

    Matthiesen, J. J. & Brefeld, U., 2020, HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Stephanidis, C. & Antona, M. (eds.). Cham: Springer Verlag, p. 68-75 8 p. (Communications in Computer and Information Science; vol. 1224 CCIS).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  9. 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/works › Article in conference proceedings › Research › peer-review

  10. ‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units

    Raabe, J.-P., Horlach, B., Schirmer, I. & Drews, P., 2020, 26th Americas Conference on Information Systems, AMCIS 2020: Strategic and competitive uses of IT. A. F. I. S. (ed.). Atlanta: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2020).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  11. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?

    Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  12. Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings

    Brefeld, U. (Editor), Davis, J. (Editor), van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2020, Cham: Springer International Publishing. 146 p. (Communications in Computer and Information Science; vol. 1324)

    Research output: Books and anthologies › Conference proceedings › Research

  13. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  14. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  15. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  16. Performance analysis for loss systems with many subscribers and concurrent services

    Daduna, H. & Krenzler, R., 2020, Measurement, Modelling and Evaluation of Computing Systems : 20th International GI/ITG Conference, MMB 2020, Saarbrücken, Germany, March 16–18, 2020, Proceedings. Hermanns, H. (ed.). Cham: Springer Verlag, p. 118-135 18 p. (Lecture Notes in Computer Science ; vol. 12040 LNCS)(Programming and Software Engineering; vol. 12040).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  17. Reconceptualising Business-IT Alignment for Enabling Organisational Agility

    Horlach, B., Drews, P., Drechsler, A., Schirmer, I. & Böhmann, T., 2020, Proceedings of ECIS 2020: ECIS 2020 Research papers. A. F. I. S. (ed.). AIS eLibrary, 17 p. 95

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  18. Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management

    Rashed, F. & Drews, P., 2020, Business Information Systems - 23rd International Conference, BIS 2020, Proceedings: 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8–10, 2020, Proceedings. Abramowicz, W. & Klein, G. (eds.). Cham: Springer Verlag, p. 264-276 13 p. (Lecture Notes in Business Information Processing; vol. 389 LNBIP).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  19. 2019

  20. Lost-customers approximation of semi-open queueing networks with backordering: An application to minimise the number of robots in robotic mobile fulfilment systems

    Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K., 03.12.2019, New York, 44 p. (arXiv.org).

    Research output: Working paper › Working papers

  21. 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 contributions › Journal articles › Research › peer-review

  22. Leveraging Architectural Thinking for Large-Scale E-Government Projects

    Burmeister, F., Drews, P. & Schirmer, I., 12.2019, ICIS 2019 Proceedings. Krcmar, H. & Fedorowicz, J. (eds.). The Association for Information Systems (AIS), 17 p. 3126. (40th International Conference on Information Systems, ICIS 2019).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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