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).
- 2021
- Published
“Ideation is Fine, but Execution is Key”: How Incumbent Companies Realize Data-Driven Business Models
Lange, H. E., Drews, P. & Höft, M., 2021, Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers: CBI 2021, Virtual Conference 1-3 September 2021, Proceedings . Almeida, J. P. A., Guizzardi , G., Montali , M. & Proper , H. A. (eds.). Los Alamitos: IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 1. p. 191-200 10 p. ( IEEE ... Conference on Business Informatics; vol. 23, no. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety
Krieger, F., Drews, P., Funk, B. & Wobbe, T., 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. 5-20 16 p. (Lecture Notes in Information Systems and Organisation; vol. 47).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
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
- Published
Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View
Lange, H. E., Drews, P. & Höft, M., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1410Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
Tschoppe, N. J. & Drews, P., 2021, Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer, Vol. 3. p. 685-691 7 p. (Lecture Notes in Information Systems and Organisation; vol. 48 LNISO).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models
Scharfenberger, J., Funk, B. & Mueller, B., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 1975Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
Burmeister, F., Kurtz, C., Vogel, P., Drews, P. & Schirmer, I., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 2692Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2020
- Published
Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN
Kortmann, F., Talits, K., Fassmeyer, P., Warnecke, A., Meier, N., Heger, J., Drews, P. & Funk, B., 10.12.2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020: Proceedings, Dec 10 - Dec 13, 2020 • Virtual Event. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5563-5571 9 p. 9378245. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor
Kortmann, F., Rodeheger, M., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 01.11.2020, 2020 IEEE 92nd Vehicular Technology Conference: Proceedings. Canada: IEEE - Institute of Electrical and Electronics Engineers Inc., 6 p. 9348664. (IEEE Vehicular Technology Conference).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach
Bremer, V., Chow, P., Funk, B., Thorndike, F. P. & Ritterband, L. M., 28.10.2020, In: Journal of Medical Internet Research. 22, 10, 20 p., e17738.Research output: Journal contributions › Conference article in journal › Research › peer-review