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.  

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  1. 2021
  2. 27th Annual Americas Conference on Information Systems - AMCIS 2021

    Drews, P. (Organiser), Mosconi, E. (Organiser), Ulbrich, F. (Organiser) & Wessel, L. (Organiser)

    09.08.2021

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  3. Oleg Yu Sergiyenko

    Mercorelli, P. (Host)

    13.08.202120.01.2022

    Activity: Hosting a visitorHosting an academic visitor

  4. Are Hybrid Work Models Here to Stay?

    Remdisch, S. (Speaker)

    19.08.2021

    Activity: Talk or presentationtalk or presentation in privat or public eventsTransfer

  5. ESU 2021 Conference and Doctoral Program on Entrepreneurship

    Eising, L. (Participant)

    30.08.2021

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  6. Jahrestagung Verein für Socialpolitik

    Hirsch, B. (Participant)

    09.2021

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  7. Startup Booster (External organisation)

    Wenzel, M. (Chair)

    09.2021 → …

    Activity: MembershipAcademic networks or partnershipsTransfer

  8. University of Montreal

    Nathues, E. (Visiting researcher)

    09.202111.2021

    Activity: Visiting an external institutionVisiting an external academic institutionResearch

  9. 5th International Conference on Applied Physics, Simulation and Computing - APSAC 2021

    Mercorelli, P. (Participant)

    03.09.202105.09.2021

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  10. Presentation of the paper entitled "Vision-Based Deep Learning Algorithm for Detecting Potholes"

    Mercorelli, P. (Oral presentation)

    03.09.202105.09.2021

    Activity: Talk or presentationConference PresentationsResearch