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

    FaST: A linear time stack trace alignment heuristic for crash report deduplication

    Rodrigues, I. M., Aloise, D. & Fernandes, E. R., 23.05.2022, The 2022 Mining Software Repositories Conference: MSR 2022, Proceedings; 18-20 May 2022, Virtual; 23-24 May 2022, Pittsburgh, Pennsylvania. New York: Institute of Electrical and Electronics Engineers Inc., p. 549-560 12 p. (Proceedings - IEEE/ACM International Conference on Mining Software Repositories ).

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

  2. Published

    Robustness and disturbances in public transport

    Ge, L., Voss, S. & Xie, L., 04.03.2022, In: Public Transport. 14, 1, p. 191-261 71 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Clustering design science research based on the nature of the designed artifact

    Laine, J., Zimmer, M. P., Minkkinen, M., Salmela, H. & Mäntymäki, M., 01.01.2022, The Role of Digital Technologies in Shaping the Post Pandemic World: 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Newcastle Upon Tyne, UK, September 13–14, 2022, Proceedings. Papagiannidis, S., Alamanos, E., Gupta, S., Dwivedi, Y. K., Mäntymäki, M. & Pappas, I. O. (eds.). Cham: Springer Schweiz, p. 254–266 13 p. (Lecture Notes in Computer Science; vol. 13454).

    Research output: Contributions to collected editions/worksChapterpeer-review

  4. Published

    Responsible Artificial Intelligence Systems: Critical Considerations for Business Model Design

    Zimmer, M. P., Minkkinen, M. & Mäntymäki, M., 31.12.2022, In: Scandinavian Journal of Information Systems. 34, 2, p. 113-162 50 p., 4.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Are We Discovering or Making Concepts? Performativity in Concept Defining

    Niemimaa, M. & Zimmer, M. P., 07.2022, PACIS 2022 proceedings. AIS eLibrary, 9 p. 1853

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

  6. Published

    Dividing Apples and Pears: Towards a Taxonomy for Agile Transformation

    Lueg, R., Zimmer, M. P. & Drews, P., 07.2022, PACIS 2022 proceedings. AIS eLibrary, 17 p. 1435

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

  7. Published

    Digital–sustainable co-transformation: Introducing the triple bottom line of sustainability to digital transformation research

    Zimmer, M. P. & Järveläinen, J., 01.01.2022, Human Choice and Digital by Default: Autonomy vs Digital Determination: HCC 2022. Kreps, D., Davison, R., Komukai, T. & Ishii, K. (eds.). Cham: Springer, p. 100-111 12 p. (IFIP Advances in Information and Communication Technology; vol. 656).

    Research output: Contributions to collected editions/worksChapterpeer-review

  8. Published

    Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame

    Minkkinen, M., Zimmer, M. P. & Mäntymäki, M., 02.2023, In: Information Systems Frontiers. 25, 1, p. 103-121 19 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    A Reference Model for Data-driven Business Model Innovation Initiatives in Incumbent Firms

    Rashed, F., Drews, P. & Zaki, M., 2022, ECIS 2022 proceedings. AIS eLibrary, 15 p. 1873. (ECIS 2022 research papers; no. 156).

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

  10. Published

    Comparing two hybrid neural network models to predict real-world bus travel time

    Nimpanomprasert, T., Xie, L. & Kliewer, N., 01.01.2022, In: Transportation Research Procedia. 62, p. 393-400 8 p.

    Research output: Journal contributionsConference article in journalResearch

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