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).

  1. 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/worksArticle in conference proceedingsResearchpeer-review

  2. 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/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Transformation verstehen lernen: Nachhaltigkeitsbildung und Data Literacy Education in der Studieneingangsphase

    Weiser, A., van Deest, J. & Barth, M., 26.09.2022, Digitale Bildung für nachhaltige Entwicklung: Herausforderungen und Perspektiven für die Hochschulbildung. Weselek, J., Kohler, F. & Siegmund, A. (eds.). Springer, p. 53-65 13 p.

    Research output: Contributions to collected editions/worksChapter

  4. Published

    Deal or no deal? How round vs precise percentage offers and price-ending mimicry affect impasse risk in over 25 million eBay negotiations

    Petrowsky, H. M., Schweinsberg, M., Seitz, L., Funk, B. & Loschelder, D. D., 01.01.2023, In: Journal of Economic Psychology. 94, 10 p., 102584.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Designing a Thrifty Approach for SME Business Continuity: Practices for Transparency of the Design Process

    Järveläinen, J., Niemimaa, M. & Zimmer, M. P., 01.01.2022, In: Journal of the Association for Information Systems. 23, 6, p. 1557-1602 46 p., 3.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Uma Caracterização das Polı́ticas de Privacidade Utilizadas em Aplicativos no Brasil

    Jardim, G. P. S., Rabello, M. E. R., Lima, A. C., Brefeld, U. & Quadros dos Reis, V., 05.08.2022, Anais do III Workshop sobre as Implicações da Computação na Sociedade (WICS). Sociedade Brasileira de Computação (SBC), p. 13-25 13 p. (WORKSHOP SOBRE AS IMPLICAÇÕES DA COMPUTAÇÃO NA SOCIEDADE (WICS); no. 3/2022).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  7. Published

    Semi-Supervised Generative Models for Multi-Agent Trajectories

    Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook: Curran Associates, Vol. 48. p. 37267-37281 15 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    DASC-PM v1.1: A Process Model for Data Science Projects

    Schulz, M., Neuhaus, U., Kaufmann, J., Kühnel, S., Alekozai, E. M., Rohde, H., Hoseini, S., Theuerkauf, R., Badura, D., Kerzel, U., Lanquillon, C., Daurer, S., Günther, M., Huber, L., Thiée, L.-W., Heiden, P. Z., Passlick, J., Dieckmann, J., Schwade, F., Seyffarth, T., Badewitz, W., Rissler, R., Sackmann, S., Gölzer, P., Welter, F., Röth, J., Seidelmann, J. & Haneke, U., 03.2022, Elmshorn: NORDAKADEMIE gAG Hochschule der Wirtschaft. 89 p.

    Research output: Books and anthologiesMonographsResearch

  9. Published

    Watch out, pothole! Featuring Road Damage Detection in an End-to-end System for Autonomous Driving

    Kortmann, F., Faßmeyer, P., Funk, B. & Drews, P., 01.11.2022, In: Data and Knowledge Engineering. 142, 102091.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    The Importance of Business Continuity for Making Business: The Case of Design Kitchen

    Järveläinen, J., Zimmer, M. P. & Niemimaa, M., 2022, ICIS 2022 Proceedings: Digitization for the next generation. AIS eLibrary, 13 p. 1602

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review