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

    Using haar wavelets for fault detection in technical processes

    Mercorelli, P., 01.06.2015, In: IFAC-PapersOnLine. 48, 4, p. 37-42 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  2. Published

    Development of a temperature controlled weathering test box to evaluate the life cycle behaviour of interior automotive components

    Zindove, T., Van Niekerk, T., Wilm, T. & Mercorelli, P., 01.06.2015, In: IFAC-PapersOnLine. 48, 4, p. 117-122 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  3. Published

    Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm

    Schimmack, M. & Mercorelli, P., 01.06.2015, In: IFAC-PapersOnLine. 48, 4, p. 278-283 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  4. Published

    Identification of conductive fiber parameters with transcutaneous electrical nerve stimulation signal using RLS algorithm

    Schimmack, M. & Mercorelli, P., 01.09.2015, In: IFAC-PapersOnLine. 48, 20, p. 389-394 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  5. Published

    Pressure fault recognition and compensation with an adaptive feedforward regulator in a controlled hybrid actuator within engine applications

    Mercorelli, P., Haus, B. & Werner, N., 01.09.2015, In: IFAC-PapersOnLine. 48, 21, p. 925-930 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  6. Published
  7. Published
  8. Published

    Using Wikipedia for Cross-Language Named Entity Recognition

    Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).

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

  9. Published

    Gambling to leapfrog in status?

    Friehe, T. & Mechtel, M., 01.12.2017, In: Review of Economics of the Household. 15, 4, p. 1291 - 1319 29 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Erratum to: Gambling to leapfrog in status? (Review of Economics of the Household, (2017), 15, 4, (1291-1319), 10.1007/s11150-015-9306-9)

    Friehe, T. & Mechtel, M., 01.12.2017, In: Review of Economics of the Household. 15, 4, p. 1321 - 1322 2 p.

    Research output: Journal contributionsComments / Debate / ReportsResearch