Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
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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Personalmanagement arbeitsmarktpolitischer Dienstleister: ein Lösungsvorschlag in der Balance marktwirtschaftlicher Anforderung und sozialer Verantwortung
Saathoff, A., Sturm, N. & Walther, K., 2004, Lüneburg: Zentrum für Angewandte Gesundheitswissenschaften Lüneburg, 241 p. (ZAG-Forschungs- und -Arbeitsberichte ).Research output: Working paper › Working papers
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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/works › Article in conference proceedings › Research › peer-review
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Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B. & Hilbert, K., 22.05.2023, In: Frontiers in Digital Health. 5, 14 p., 1170002.Research output: Journal contributions › Scientific review articles › Research
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Performanceorientiertes Controlling
Piechota, S., 2005, Controller-Leitfaden: Loseblattsammlung - Ordner 1. Siegwart, H. (ed.). Zürich [u.a.]: WEKA Verlag, p. 1-22 22 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Transfer
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Performancemanagement in Projekten durch Earned Value Management (EVM)
Piechota, S., 09.2009, Controller-Leitfaden: Loseblattsammlung - Ordner 1. Siegwart, H. (ed.). Zürich [u.a.]: WEKA Verlag, p. 1-28 28 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Transfer
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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, 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
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Patient centricity in IS healthcare – a framework proposing enablement, empowerment, and engagement of patients as individual IS users
Maschewski, J. & Lemmer, K., 10.09.2023, Wirtschaftsinformatik 2023 Proceedings. Beverungen, D., Lehrer, C. & Trier, M. (eds.). Association for Information Systems, 16 p. 343Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study
Rashed, F. & Drews, P., 2021, Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 5676-5685 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
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Parsing Causal Models – An Instance Segmentation Approach
Scharfenberger, J. & Funk, B., 08.06.2023, Intelligent Information Systems - CAiSE Forum 2023, Proceedings. Cabanillas, C. & Pérez, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 43-51 9 p. (Lecture Notes in Business Information Processing; vol. 477 LNBIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
Schulte, M. R., Thiée, L.-W., Scharfenberger, J. & Funk, B., 11.2021, Innovation Through Information Systems - Volume II: A Collection of Latest Research on Technology Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 642-655 14 p. (Lecture Notes in Information Systems and Organisation; vol. 47).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review