Institute of Information Systems
Organisational unit: Institute
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business
- 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
- 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 contributions › Journal articles › Research › peer-review
- 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. 1853Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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. 1435Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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/works › Chapter › peer-review
- 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 contributions › Journal articles › Research › peer-review
- 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/works › Article in conference proceedings › Research › peer-review
- 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 contributions › Conference article in journal › Research
- Published
Who can receive the pass? A computational model for quantifying availability in soccer
Dick, U., Link, D. & Brefeld, U., 01.05.2022, In: Data Mining and Knowledge Discovery. 36, 3, p. 987-1014 28 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Action rate models for predicting actions in soccer
Dick, U. & Brefeld, U., 02.03.2022, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 29-49 21 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Accepted/In press
Revisiting the richness of integrated vehicle and crew scheduling
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. & Xie, L., 2022, (Accepted/In press) In: Public Transport. 27 p.Research output: Journal contributions › Journal articles › Research › peer-review