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.
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Datenmodellierung mit dem Entity-Relationship-Ansatz
Jacobs, J., 05.1996, Lüneburg: Universität Lüneburg, 49 p. (Final; vol. 6, no. 3).Research output: Working paper › Working papers
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Datenkompetenzen in Kooperationen fördern
Funk, B. & Wuppermann, M., 01.2019, In: DUZ Wissenschaft & Management. 2, 1, p. 26-29 4 p.Research output: Journal contributions › Journal articles › Transfer › peer-review
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Datengetriebene Agilität: Auf der Erfolgsspur zur Digitalen Exzellenz
Böhmann, T., Drews, P. & Zolnowski, A., 2016, Hamburg: Sopra Steria Consulting, 40 p.Research output: Working paper › Project reports › Transfer
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Datenerfassung und Analyse mit LabView für ein Multisensorsystem für die intelligente und selektive Erkennung von Bränden
Georgiadis, A., Meyer, J.-T. & Ivanova, T., 2007, Virtuelle Instrumente in der Praxis: Automatisierung. Messtechnik: Begleitband zum Kongress VIP 2007.. Jamal, R. & Jaschinski, H. (eds.). Heidelberg: Hüthig Verlag, p. 26-30 5 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research
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Daten des IAB-Betriebspanels und Firmenpaneldaten aus Erhebungen der Amtlichen Statistik - substitutive oder komplementäre Inputs für die Empirische Wirtschaftsforschung?
Wagner, J., 01.03.2014, In: Journal for Labour Market Research. 47, 1-2, p. 63-70 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Daten des IAB-Betriebspanels und Firmenpaneldaten aus Erhebungen der Amtlichen Statistik - substitutive oder komplementäre Inputs für die Empirische Wirtschaftsforschung ?
Wagner, J., 2012, Lüneburg: Institut für Volkswirtschaftslehre der Universität Lüneburg, 18 p. (University of Lüneburg Working Paper Series in Economics; no. 252).Research output: Working paper › Working papers
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Datenbasierte Ursachenanalysen zur Verbesserung der logistischen Zielerreichung
Schmidt, M., Maier, J. T. & Härtel, L., 09.2020, Mensch-Technik-Interaktion in der digitalisierten Arbeitswelt. Freitag, M. (ed.). Berlin: GITO mbH Verlag, p. 171-191 21 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Datenbasierte Bestimmung der Auftragsabwicklungsstrategie
Maier, J. T., 2023, Göttingen: Sierke Verlag. 130 p. (Schriftenreihe Produktionstechnik und -systeme; vol. 21)Research output: Books and anthologies › Monographs › Research
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Datenbankgestützte Internetpräsenzen: Entwicklung und Realisation am Beispiel der Homepage des Forschungsinstituts Freie Berufe (FFB) der Universität Lüneburg
Stolze, H., 2002, Lüneburg: Forschungsinstitut Freie Berufe, 55 p. (Diskussionspapier; no. 38).Research output: Working paper › Working papers
- E-pub ahead of print
Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions
Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.Research output: Journal contributions › Journal articles › Research › peer-review