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).
- Published
Carbon Footprint Apps - eine Analyse der Nutzungsintention
Funk, B., Sagawe, A. & Niemeyer, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 : Technische Universität Ilmenau 09. - 11. März 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. 2. p. 901-911 11 p. (Multikonferenz Wirtschaftsinformatik, MKWI 2016; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Mentoring in Massive Open Online Courses - Eine Nutzenanalyse auf Basis des IS-Success-Modells
Drawert, K., Mager, M., Funk, B., Trötschel, R. & Pfeifer, C., 03.2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016: Technische Universität Ilmenau 09. - 11. März 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. 3. p. 1511-1522 12 p. (Multikonferenz Wirtschaftsinformatik, MKWI 2016; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Modeling the Intention to Use Carbon Footprint Apps
Sagawe, A., Funk, B. & Niemeyer, P., 05.02.2016, Information Technology in Environmental Engineering: Proceedings of the 7th International Conference on Information Technologies in Environmental Engineering (ITEE2015). Gómez, J. M. & Scholtz, B. (eds.). Springer, p. 139-150 12 p. (Springer Proceedings in Business and Economics).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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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Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie: Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas
Schmidt, J. & Drews, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. II. p. 967-978 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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What’s Hot: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data
Hoogendoorn, M. & Funk, B., 28.09.2017Research output: other publications › Articles in scientific forums or blogs › Research › peer-review
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IT Governance in Scaling Agile Frameworks
Horlach, B., Böhmann, T., Schirmer, I. & Drews, P., 2018, Tagungsband Multikonferenz Wirtschaftsinformatik 2018: Data driven X - Turning Data into Value. Drews, P., Funk, B., Niemeyer, P. & Xie, L. (eds.). Leuphana Universität Lüneburg, Vol. 5. p. 1789-1800 12 p. (MKWI 2018 - Multikonferenz Wirtschaftsinformatik; vol. 2018-March).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees
Ebert, D. D., Kählke, F., Buntrock, C., Berking, M., Smit, F., Heber, E., Baumeister, H., Funk, B., Riper, H. & Lehr, D., 02.2018, In: Scandinavian Journal of Work, Environment and Health. 44, 2, p. 171-182 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Propagating Maximum Capacities for Recommendation
Boubekki, A., Brefeld, U., Lucchesi, C. L. & Stille, W., 2017, KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017 : proceedings. Cham, Schweiz: Springer, p. 72-84 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10505 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen: Schwerpunkt Analyse sequenzieller Daten
Funk, B., Dr. Rettenmeier, M. & Lang, T., 10.2017, In: Wirtschaftsinformatik & Management. 9, 5, p. 16-25 10 p.Research output: Journal contributions › Journal articles › Research › peer-review