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. Published

    Semi-stationary shoulder bobbin-tool: A new approach in tailoring macrostructure and mechanical properties of bobbin-tool friction stir welds in magnesium alloy

    Li, G., Chen, T., Fu, B., Shen, J., Bergmann, L., Zhou, L., Chen, K., Santos, J. F. D. & Klusemann, B., 01.08.2023, In: Journal of Materials Processing Technology. 317, 117984.

    Research output: Journal contributionsJournal articlesResearch

  2. Published

    Semiparametric one-step estimation of a sample selection model with endogenous covariates

    Schwiebert, J., 23.10.2015, In: AStA Advances in Statistical Analysis. 99, 4, p. 379-402 24 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Semi-infinite Optimierung: Lösungsvorschlag mittels der Momentenmethode von Markov

    Sturm, N., 1978, Schwarzenbek: Fachverlag für Revisions- und Treuhandfragen. 94 p.

    Research output: Books and anthologiesMonographsResearch

  4. Published

    Self-tuning of a kalman filter applied in a DC drive and in a kalman-based sensor

    Lassen, J. T. & Mercorelli, P., 01.05.2019, Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. Kot, A. & Nawrocka, A. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., 5 p. 8766057. (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019).

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

  5. Published

    Self-supervised Siamese Autoencoders

    Baier, F., Mair, S. & Fadel, S. G., 2024, Advances in Intelligent Data Analysis XXII: 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Proceedings. Miliou, I., Papapetrou, P. & Piatkowski, N. (eds.). Springer Science and Business Media Deutschland, p. 117-128 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14641 LNCS).

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

  6. Published

    Self-selection, socialization, and risk perception: an empirical study

    Weisenfeld, U. & Ott, I., 2009, Kiel: Institut für Weltwirtschaft Kiel, 37 p. (Kiel Working Paper; no. 1555).

    Research output: Working paperWorking papers

  7. Published

    Self-selection into export markets by business services firms - Evidence from France, Germany and the United Kingdom

    Wagner, J., Vogel, A. & Temouri, Y., 06.2013, In: Structural Change and Economic Dynamics. 25, 1, p. 146-158 13 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Self-selection into export markets by business services firms: Evidence from France, Germany and the United Kingdom

    Temouri, Y., Wagner, J. & Vogel, A., 2010, Lüneburg: Institut für Volkswirtschaftslehre der Universität Lüneburg, 32 p. (Working paper series in economics; no. 183).

    Research output: Working paperWorking papers

  9. Published

    Self-perception of the internal audit function within the corporate governance system - Empirical evidence for the European Union

    Eulerich, M., Theis, J. C., Velte, P. & Stiglbauer, M., 2013, In: Problems and Perspectives in Management (PPM). 11, 2, p. 57-72 16 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Self-organized learning in vocational education: foundation, implementation, and evaluation

    Sembill, D., Wolf, K. D., Wuttke, E. & Schumacher, L., 2002, Teaching-learning processes in vocational education: Foundations of Modern Training Programmes . Beck, K. (ed.). Frankfurt am Main: Peter Lang Verlag, p. 267-295 29 p. (Konzepte des Lehrens und Lernens; vol. 5).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearch