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.  

  1. 2024
  2. Published

    Impulsive Feedback Linearization for Decoupling of a Constant Disturbance with Low Relative Degree to Control Maglev Systems

    Diab, M., Mercorelli, P. & Haus, B., 11.11.2024, 2024 28th International Conference on System Theory, Control and Computing (ICSTCC): October 10 - 12, 2024 Sinaia, Romania; Proceedings. Barbulescu, L.-F. (ed.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 470-476 7 p. (International Conference on System Theory, Control and Computing, Proceedings; vol. 2024).

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

  3. Published

    Inductance Estimation Using an EKF for the Robust Control of PMSMs in the Presence of Saturation

    Van Rossum, F. M., Mercorelli, P., Haus, B. & Aschemann, H., 11.11.2024, 2024 28th International Conference on System Theory, Control and Computing (ICSTCC) : October 10 - 12, 2024 Sinaia, Romania; Proceedings . Barbulescu, L.-F. (ed.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 463-469 7 p. (International Conference on System Theory, Control and Computing, ICSTCC - Proceedings; vol. 2024).

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

  4. Published

    Sustainability-oriented targets in executive compensation – symbolic measures or significant catalyst for a sustainable transition?

    Hofer, A., Aschauer, E. & Velte, P., 19.11.2024, In: Qualitative Research in Accounting & Management. 21, 5, p. 465-493 29 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Multisensory Design of Retail Environments: Vision, Sound, and Scent

    Sarstedt, M., Imschloß, M. & Adler, S. J., 26.11.2024, Zweite Auflage ed. Wiesbaden: Springer Fachmedien. 83 p. (Science meets Practice)

    Research output: Books and anthologiesBook

  6. Published

    Assistance systems for patient positioning in radiotherapy practice

    Müller-Polyzou, R., Reuter-Oppermann, M., Feger, J., Meier, N. & Georgiadis, A., 12.2024, In: Health Systems. 13, 4, p. 332-360 29 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Careless responding detection revisited: Accuracy of direct and indirect measures

    Goldammer, P., Stöckli, P. L., Escher, Y. A., Annen, H., Jonas, K. & Antonakis, J., 12.2024, In: Behavior Research Methods. 56, 8, p. 8422-8449 28 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Case study on delivery time determination using a machine learning approach in small batch production companies

    Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Corrosion behavior of multi-layer friction surfaced structure from dissimilar aluminum alloys

    Antunes Duda, E., Kallien, Z., da Silva Soares, S., Hernandez Schneider, T., Ribeiro Piaggio Cardoso, H., Vieira Braga Lemos, G., Falcade, T., Reguly, A. & Klusemann, B., 12.2024, In: Scientific Reports. 14, 1, 10 p., 9882.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Creative spaces in computer science

    Kohler, M., Usbeck, R. & Edinger, J., 12.2024, In: IT - Information Technology. 66, 2-3, p. 39-41 3 p.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  11. Published

    Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

    Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.

    Research output: Journal contributionsJournal articlesResearchpeer-review