Abstract
Aspects of short-range planning dominate the strategic decision-making process in management. The capability of managers to carry out their own functions effectively tends to be reduced by the increasing complexity and pressure of this job. Intelligent management systems (IMS) are needed to improve the decision-making process in management. Artificial intelligence and neural networks are very well matched to this need. The decision-making process is described in some detail, to illustrate what kinds of IMS functionalities are required, and thus to present the problem to specialists in artificial intelligence.
Keywords
- Decision Tool
- Neural Network Project
- Management System Result
- System Dependability Assessment
- Strategic Management System
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ackhoff, R. L., A concept of corporate planning, New York 1970
Ackhoff, R. L., Management Misinformation System, in: Management Science, H. 4, P. 147–156, 1967
Alex Björn, Künstliche neuronale Netze in Management-Informationssystemen, Grundlagen und Einsatzmöglichkeiten, Gabler Verlag, Wiesbaden 1998
Bass, B., Organizational Decision Making, Homewood (III) 1983
Beltratti A. et al., Neural Networks for Economic and Financial Modelling, London 1996
Furness P., “Neural Networks for Data-Driven Marketing”, p. 73–96
Goonatilake S. and Treleaven P. (eds.), Intelligent Systems for Finance and Business, John Wiley & Sons, Chichester,1995
Kirsch, W., Die Handhabung von Entscheidungsproblemen, Barbara Kirsch Verlag, München 1988
Kirsch, W., Managementsysteme, Barbara Kirsch Verlag, München 1989
Knoppe, M., Strategische Allianzen in der Kreditwirtschaft, Oldenbourg Verlag, München 1997
Kolodner, J., Case-Based Reasoning, Morgan Kaufman, San Mateo, 1993
Neil M., Littlewood B. and Fenton N., “Applying Bayesian Belief Networks to Systems Dependability Assessment”, Proceedings of Safety Critical Systems Club Symposium, Leeds, p. 71–93. Springer-Verlag, Berlin, 1996
Refenes A.N., Zapranis A.D., Connor J.T. and Bunn D.W., “Neural Networks in Investment Management”, p. 177–208
Smith A.E. and Norman B.A., “Evolutionary Design of Facilities Considering Production Uncertainty”, in I. Parmee (ed.), Adaptive Computing in Design and Manufacture 2000, p. 175–186, Springer-Verlag, Berlin, 2000
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Knoppe, M. (2001). Artificial Intelligence as a Decision Tool for Efficient Strategic and Operational Management. In: Campbell, J.A., Roanes-Lozano, E. (eds) Artificial Intelligence and Symbolic Computation. AISC 2000. Lecture Notes in Computer Science(), vol 1930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44990-6_2
Download citation
DOI: https://doi.org/10.1007/3-540-44990-6_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42071-2
Online ISBN: 978-3-540-44990-4
eBook Packages: Springer Book Archive