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 CNNs to Detect Graphical Representations of Structural Equation Models in IS Papers

    Genz, T. & Funk, B., 09.03.2020, Entwicklungen, Chancen und Herausforderungen der Digitalisierung: Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Gronau, N., Heine, M., Krasnova, H. & Pousttchi, K. (eds.). Berlin: GITO mbH Verlag, Vol. 1. p. 115-120 6 p. 8. (WI 2020; vol. 1).

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

  2. Published

    Using augmented video to test in-car user experiences of context analog HUDs

    Soro, A., Rakotonirainy, A., Schroeter, R. & Wollstädter, S., 17.09.2014, AutomotiveUI 2014 - 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, in Cooperation with ACM SIGCHI - Adjunct Proceedings. Association for Computing Machinery, Inc, p. 105-110 6 p. (AutomotiveUI 2014 - 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, in Cooperation with ACM SIGCHI - Adjunct Proceedings).

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

  3. Published

    Using a Seminorm for Wavelet Denoising of sEMG Signals for Monitoring during Rehabilitation with Embedded Orthosis System

    Schimmack, M., Hand, A., Mercorelli, P. & Georgiadis, A., 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 467-472 6 p.

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

  4. Published
  5. Published

    Using a Bivariate Polynomial in an EKF for State and Inductance Estimations in the Presence of Saturation Effects to Adaptively Control a PMSM

    Zwerger, T. & Mercorelli, P., 19.10.2022, In: IEEE Access. 10, p. 111545-111553 9 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Users’ handedness and performance when controlling integrated input devices: Implications for automotive HMI

    Oehl, M., Stein, J. & Sutter, C., 2016, TeaP 2016 – Abstracts of the 58th Conference of Experimental Psychologists. Funke, J., Rummel, J. & Voß, A. (eds.). 1. ed. Pabst Science Publishers, p. 240-241 2 p.

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

  7. Published

    User Participation in the Quality Assurance of Requirements Specifications: An Evaluation of Traditional Models and Animated Systems Engineering Techniques

    Knöll, H.-D., 2010, Strategic Information Systems: Concepts, Methodologies, Tools, and Applications. Hunter, M. G. (ed.). IGI Global Publishing, Vol. 3. p. 1623-1638 16 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  8. Published

    User participation in the quality assurance of requirements specifications: an evaluation of traditional models and animated systems engineering techniques

    Knöll, H.-D., 2006, Measuring information systems delivery quality. Duggan, E. W. & Reichgelt, H. (eds.). Hershey, Pa. [u.a.]: Idea Group Publishing, p. 112-133 22 p.

    Research output: Contributions to collected editions/worksChapterpeer-review

  9. Published

    User Authentication via Multifaceted Mouse Movements and Outlier Exposure

    Matthiesen, J. J., Hastedt, H. & Brefeld, U., 01.04.2023, Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). Cham: Springer Nature Switzerland AG, p. 300-313 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

  10. Published

    Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review

    Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.

    Research output: Journal contributionsScientific review articlesResearch