Abstract
In this paper, we discuss approaches of learning an interdisciplinary subject with many different facets. We consider the field called Management Science (MS) which is closely related to Operations Research (OR). As the essence of management science we understand the application of the modeling approach for managerial decision support. The models are usually built using quantitative methods, such as linear programming, mixed-integer programming, network models, decision analysis, discrete and continuous simulation, queuing models, and so on. The underlying problems arise in fields such as production, financial planning, and vehicle routing. Traditionally, the emphasis in teaching management science, at least in Germany and Finland, has been placed on teaching mathematical methods, such as the simplex algorithm for linear programming.
Keywords
- Learn Management
- Educational Software
- Discrete Simulation
- Information System Architecture
- Navigational Tool
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1999 Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH, Wiesbaden, und Deutscher Universitäts-Verlag GmbH, Wiesbaden
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Blumstengel, A., Kassanke, S., Suhl, L. (1999). Learning Management Science in Hyperspace. In: Gries, T., Suhl, L. (eds) Economic Aspects of Digital Information Technologies. Deutscher Universitätsverlag. https://doi.org/10.1007/978-3-322-85190-1_9
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DOI: https://doi.org/10.1007/978-3-322-85190-1_9
Publisher Name: Deutscher Universitätsverlag
Print ISBN: 978-3-8244-6848-5
Online ISBN: 978-3-322-85190-1
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