School of Management and Technology
Organisational unit: Research School
- Institute for Auditing & Tax
- Institute for production technology and systems
- Institute of Experimental Industrial Psychology
- Institute of Information Systems
- Institute of Knowledge and Information Management
- Institute of Management, Accounting & Finance
- Institute of Management and Organization
- Institute of Marketing
- Institute of New Venture Management
- Institute of Performance Management
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.
- Published
Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction
Dastgerdi, A. K. & Mercorelli, P., 01.01.2023, Advances in Computing and Data Sciences: 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers. Singh, M., Tyagi, V., Gupta, P. K., Flusser, J. & Ören, T. (eds.). Cham: Springer International Publishing AG, p. 478-489 12 p. (Communications in Computer and Information Science; vol. 1848).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Measuring board diversity: A systematic literature review of data sources, constructs, pitfalls, and suggestions for future research
Behlau, H., Wobst, J. & Lueg, R., 03.2024, In: Corporate Social Responsibility and Environmental Management. 31, 2, p. 977-992 16 p.Research output: Journal contributions › Scientific review articles › Research
- Published
Patient centricity in IS healthcare – a framework proposing enablement, empowerment, and engagement of patients as individual IS users
Maschewski, J. & Lemmer, K., 10.09.2023, Wirtschaftsinformatik 2023 Proceedings. Beverungen, D., Lehrer, C. & Trier, M. (eds.). Association for Information Systems, 16 p. 343Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Faulty Process Detection Using Machine Learning Techniques
Dastgerdi, A. K., Lange, D. & Mercorelli, P., 11.07.2023, Congress on Smart Computing Technologies : Proceedings of CSCT 2022. Bansal, J. C., Sharma, H. & Chakravorty, A. (eds.). Springer Singapore, p. 321-333 13 p. (Smart Innovation, Systems and Technologies).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys
Kallien, Z., Hoffmann, M., Roos, A. & Klusemann, B., 10.2023, In: JOM: Journal of The Minerals, Metals & Materials Society. 75, 10, p. 4212-4222 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation
Schimmack, M., Belda, K. & Mercorelli, P., 14.08.2023, In: Sensors. 23, 16, 18 p., 7173.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Microstructure evolution and texture development during production of homogeneous fine-grained aluminum wire by friction extrusion
Suhuddin, U. F. H., Rath, L., Halak, R. M. & Klusemann, B., 01.11.2023, In: Materials Characterization. 205, 13 p., 113252.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Unpacking the nonlinear effect of self-efficacy in entrepreneurship: Why and under which condition more is not better
Uy, M. A., Sun, S., Gielnik, M. M., Jacob, G. H., Lagdameo, J. L. D., Miclat, A. G. & Osi, E. C., 01.03.2024, In: Personnel Psychology. 77, 1, p. 81-108 28 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Beyond plastic – Consumers prefer food packaging derived from genetically modified plants
Weisenfeld, U., Hauerwaas, A., Elshiewy, O., Halder, P., Wesseler, J., Cingiz, K. & Broer, I., 01.12.2023, In: Research Policy. 52, 10, 12 p., 104883.Research output: Journal contributions › Journal articles › Research › peer-review