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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Budgetierung der 3. Generation
Piechota, S., 2004, In: Controlling & Finance. 6, p. 3-4 2 p.Research output: Journal contributions › Journal articles › Research
- Published
Bridging the Gap: Generating a Comprehensive Biomedical Knowledge Graph Question Answering Dataset
Yan, X., Westphal, P., Seliger, J. & Usbeck, R., 16.10.2024, ECAI 2024 : 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain; including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings. Endriss, U., Melo, F. S., Bach, K., Diz, A. J. B., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). Amsterdam: IOS Press BV, p. 1198-1205 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Branchenspezifische IT-Innovationssysteme: Von der Analyse zur Intervention - Am Beispiel des IT-Innovationssystems für Krankenhäuser in Deutschland
Drews, P., 2013, Ausgezeichnete Informatikdissertationen 2012. Bonn: Gesellschaft für Informatik e.V., Vol. D-13. p. 51-60 10 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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Bonitätsklassifikation kleiner Unternehmen mit multivariater linearer Diskriminanzanalyse und neuronalen Netzen
Jacobs, J. & Weinrich, G., 2001, Lüneburg: Universität Lüneburg, 16 p. (Final).Research output: Working paper › Working papers
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Bonitätsbeurteilung kleiner Unternehmen mit nicht-linearen Klassifikationsverfahren
Jacobs, J. & Weinrich, G., 2002, In: Die Betriebswirtschaft. 62, 4, p. 343-358 16 p.Research output: Journal contributions › Journal articles › Research
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Bimodal IT: Business-IT alignment in the age of digital transformation
Horlach, B., Drews, P. & Schirmer, I., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. III. p. 1417-1428 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Bimodal Enterprise Architecture Management: The emergence of a new EAM function for a BizDevOps-based fast IT
Drews, P., Schirmer, I., Horlach, B. & Tekaat, C., 02.11.2017, Proceedings - 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2017: 10–13 October 2017 Quebec City, Quebec, Canada, Proceedings. Lapalme, J., Halle, S. & Dijkman, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 57-64 8 p. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; vol. 2017-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Bilanzanalyse aus Finanzsicht - ein zukunftsorientiertes Instrumentarium zur Unternehmensdiagnose
Weinrich, G., 1993, In: WPg - Die Wirtschaftsprüfung. 46, 8, p. 225-235 11 p.Research output: Journal contributions › Journal articles › Research
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Big Data - Characterizing an Emerging Research Field using Topic Models
Hansmann, T. & Niemeyer, P., 16.10.2014, Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014: Proceedings; 11-14 August 2014 Warsaw, Poland . Ślęzak, D., Nguyen, H. S., Reformat, M. & Santos, E. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 1. p. 43-51 9 p. (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014; vol. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Beyond budgeting: was ist neuer Wein, was ist neuer Schlauch?
Piechota, S., 2003, In: Controlling & Finance. 4, p. 1-3 3 p.Research output: Journal contributions › Journal articles › Research