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).
- 2014
- Published
Aussagekraft von Ratings und Prospektinformationen für geschlossene Immobilienfonds: eine empirische Studie
Jacobs, J., 06.2014, Risikoerkennung bei geschlossenen Fonds. Hoffmann, U. (ed.). Lüneburg: Universität Lüneburg, p. 2-14 13 p. (FInAL; vol. 24, no. 1).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Die Analyse von Investitionsrisiken im Rahmen eines Value-at-Risk-Modells
Riebesehl, D., 06.2014, Risikoerkennung bei geschlossenen Fonds. Hoffmann, U. (ed.). Lüneburg: Universität Lüneburg, p. 15-31 17 p. (FInAL; vol. 24, no. 1).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Die typischen Muster fraudulenten Handelns bei geschlossenen Fonds
Weinrich, G. & Tiedemann, L., 06.2014, Risikoerkennung bei geschlossenen Fonds. Hoffmann, U. (ed.). Lüneburg: Universität Lüneburg, p. 32-54 23 p. (FInAL; vol. 24, no. 1).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
The professional context as a predictor for response distortion in the Adaption-Innovation-Inventory – An investigation using mixture-distribution item-response theory models
Fischer, S. & Freund, P. A., 07.2014, In: International Journal of Testing. 14, 3, p. 218-244 27 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Erfolgsstrategien zur Gestaltung von Innovationsprozessen: eine empirische Analyse mittelständischer Innovationssysteme
Seeger, B., 01.07.2014, Wiesbaden: Springer Gabler. 253 p. (Beiträge zur Produktionswirtschaft)Research output: Books and anthologies › Book
- Published
Increasing personal initiative in small business managers or owners leads to entrepreneurial success: A theory-based controlled randomized field intervention for evidence-based management
Glaub, M., Frese, M., Fischer, S. & Hoppe, M., 01.09.2014, In: Academy of Management Learning & Education. 13, 3, p. 354-379 26 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Real-Time Advertising
Stange, M. & Funk, B., 10.2014, In: Business and Information Systems Engineering. 6, 5, p. 305-308 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
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
- Published
Kapitalanlagebetrug bei Geschlossenen Alternativen Investmentfonds (AIF) - Ansatzpunkte für eine juristische und betriebswirtschaftliche Bewertung
Weinrich, G. & Tiedemann, L., 11.2014, In: Neue Justiz. 68, 11, p. 462-469 8 p.Research output: Journal contributions › Journal articles › Transfer › peer-review
- Published
Efficacy of a hybrid online training for panic symptoms and agoraphobia: study protocol for a randomized controlled trial
Ebenfeld, L., Kleine Stegemann, S., Lehr, D., Ebert, D. D., Jazaieri, H., van Ballegooijen, W., Funk, B., Riper, H. & Berking, M., 04.11.2014, In: Trials. 15, 1, 10 p., 427.Research output: Journal contributions › Journal articles › Research › peer-review