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
How to Measure the Speed of Enterprise IT? An Enterprise Architecture-based Case Study in a Very Large Enterprise
Kanin, O. & Drews, P., 2025, Enterprise Design, Operations, and Computing : 28th International Conference, EDOC 2024, Vienna, Austria, September 10–13, 2024, Revised Selected Papers. Borbinha, J., Sales, T. P., Da Silva, M. M., Proper, H. A. & Schnellmann, M. (eds.). Cham: Springer Schweiz, p. 101-118 18 p. (Lecture Notes in Computer Science (LNCS); vol. 15409).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
How to Predict Mood? Delving into Features of Smartphone-Based Data
Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
How to stay agile while growing: (re-)designing the IT landscape of a digital gazelle in the online marketing industry
Tschoppe, N. J., Tänzler, J. & Drews, P., 23.02.2023, Cases on Digital Entrepreneurship: How Digital Technologies are Transforming the Entrepreneurial Process in Existing Businesses and Start-ups . Landoli, L. & Gibaldi, C. (eds.). Edward Elgar Publishing, p. 130-144 15 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
HR practices and ambidexterity in small- and medium-sized consulting firms: An exploratory multi-case study
Werner, M. & Feldmann, J., 2022, Strategic Management Society Special Conference 2022.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Human-Value-Oriented Digital Social Innovation: A Multilevel Design Framework
Gebken, L., Kurtz, C., Drews, P., Schirmer, I. & Böhmann, T., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1654Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Humanzentrierte Assistenzsysteme: Prädiktive Situationserkennung in unsicheren Domänen auf Basis dynamischer Selbstadaption
Busch, B.-H. & Welge, R., 2011, Tagungsband des ESE-Kongress 2011: 5. bis 9. Dezember 2011, Sindelfingen. Sindelfingen: Microconsult, p. 548-555 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- In preparation
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset
Taffa, T. A., Banerjee, D., Assabie, Y. & Usbeck, R., 2024, (In preparation)Research output: other publications › Other › Research
- Published
HyperUCB: Hyperparameter optimization using contextual bandits
Tavakol, M., Mair, S. & Morik, K., 28.03.2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Cellier, P. & Driessens, K. (eds.). Cham: Springer Nature AG, Vol. 1. p. 44-50 7 p. ( Communications in Computer and Information Science; vol. 1167).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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
Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study
Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.Research output: Journal contributions › Journal articles › Research › peer-review