School of Management and Technology
Organisational unit: Research School
- Institute for Auditing & Tax
- Institute for production technology and systems
- Institute of Experimental Industrial Psychology
- Institute of Information Systems
- Institute of Knowledge and Information Management
- Institute of Management, Accounting & Finance
- Institute of Management and Organization
- Institute of Marketing
- Institute of New Venture Management
- Institute of Performance Management
Organisation profile
EMPOWERING MINDS. INSPIRING INNOVATIONS. SHAPING TRANSFORMATIONS.
As part of Leuphana University, the School of Management and Technology is a dynamic and innovative community of students and faculty with high-level expertise in the fields of organization studies, responsible management, entrepreneurship, product development process, digital transformation and data science, and psychology and societal transformation. Our core aspiration is driving innovation in management and technology to shape responsible and sustainable transformations. In our research, we pioneer understandings of and solutions to the core challenges of our time, such as digitalization and sustainable production. In our teaching, we challenge conventional wisdom and inspire entrepreneurial thinking and responsible action. In business and society, we team up with local and international partners to contribute to the regional development of northern Germany. We value the interrelationships between disciplines, which is reflected in our interdisciplinary degree programs and collaboration in research.
The School of Management and Technology is home to the disciplines of Accounting and Finance, Business Psychology, Business Information Systems, Engineering, Management and Marketing. We support the respective identities and profile development of the disciplines, while also promoting interdisciplinary research and teaching in the shape of programs of study and research centers. This interdisciplinary approach is characterized by a commitment to responsibility and helping meet societal challenges.
Main research areas
The School of Management and Technology is the academic and professional home to 1,500 bachelor’s, master’s and doctoral students, more than 50 professors, more than 70 research associates and research assistants, 36 professional staff members.
The main themes of the school are reflected in its study programs: The 3 major and 7 minor programs at the College, 5 master's programs and 4 doctoral programs at the Graduate School provide academic training. The doctoral programs focus on (1.) Entrepreneurship, Management and Innovation (EMI), (2.) Information Systems and Data Science, (3.) Engineering and (4.) Management, Finance and Accounting.
In total, we offer 16 programs of study in the disciplines of Business Administration (in particular Accounting and Finance), Business Information Systems, Business Psychology, Engineering and Management.
- Published
Parameter Investigation for the In-Situ Hybridization Process by Deep Drawing of Dry Fiber-Metal-Laminates
Kruse, M., Lehmann, J. & Ben Khalifa, N., 01.01.2023, Production at the Leading Edge of Technology: Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Liewald, M., Verl, A., Bauernhansl, T. & Möhring, H.-C. (eds.). Cham: Springer Verlag, p. 122-130 9 p. (Lecture Notes in Production Engineering; vol. Part F1163).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Parameterized Synthetic Image Data Set for Fisheye Lens
Zhen, C. & Georgiadis, A., 02.07.2018, Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018. Cheng, Y., Li, S. & Dai, Y. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 370-374 5 p. 8612582Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units
Normatov, D. & Mercorelli, P., 26.09.2022, Proceedings of the 17th Conference on Computer Science and Intelligence Systems. Ganzha, M., Maciaszek, L., Paprzycki, M. & Slezak, D. (eds.). Warsaw: Polish Information Processing Society, p. 935-938 4 p. (Annals of Computer Science and Information System; vol. 30).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Parameters identification in a permanent magnet three-phase synchronous motor for velocity planning to optimize traction losses in a City-Bus
Mercorelli, P., 2013, 2013 Proceedings of International Conference on Modelling, Identification and Control, ICMIC 2013. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 193-198 6 p. 6642173. (2013 Proceedings of International Conference on Modelling, Identification and Control, ICMIC 2013).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Parameters identification in a permanent magnet three-phase synchronous motor of a city-bus for an intelligent drive assistant
Mercorelli, P., 2014, In: International Journal of Modelling, Identification and Control. 21, 4, p. 352-361 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Parametric finite element model and mechanical characterisation of electrospun materials for biomedical applications
Polak-Kraśna, K., Mazgajczyk, E., Heikkilä, P. & Georgiadis, A., 07.01.2021, In: Materials. 14, 2, p. 1-15 15 p., 278.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Parametric fits of the atomic fine structure of ZrI and Mo I
Büttgenbach, S. & Jacobs, J., 01.06.1988, In: Zeitschrift für Physik D: Atoms, Molecules and Clusters. 9, 2, p. 125 - 127 3 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
Schulte, M. R., Thiée, L.-W., Scharfenberger, J. & Funk, B., 11.2021, Innovation Through Information Systems - Volume II: A Collection of Latest Research on Technology Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer Science and Business Media Deutschland, p. 642-655 14 p. (Lecture Notes in Information Systems and Organisation; vol. 47).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Parsing Causal Models – An Instance Segmentation Approach
Scharfenberger, J. & Funk, B., 08.06.2023, Intelligent Information Systems - CAiSE Forum 2023, Proceedings. Cabanillas, C. & Pérez, F. (eds.). Springer Science and Business Media Deutschland, p. 43-51 9 p. (Lecture Notes in Business Information Processing; vol. 477 LNBIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Part 14 Control of political donations and expenditure: Introductory; Donations and expenditure to which this Part applies; Authorisation required for donations or expenditure; Remedies in case of unauthorised donations or expenditure; Exemptions; Supplementary provisions
Schall, A. & Günther, D., 2014, Companies Act: Kommentar. Schall, A. (ed.). München: C.H. Beck Verlag, p. 496-503 8 p.Research output: Contributions to collected editions/works › Contributions in collection of commentaries › Research