Abstract
Learning organizations and their management systems are most effective if the results of information gathering on the workflow are presented in a decision-compelling format. The Organizational Learning process must support your organization in its development of knowledge and asset management strategies. The adoption of alternative solutions should be weighed on the basis of relative uncertainty, risk, and opportunity. Your organization therefore must provide adequate support for advanced decision-making methods. The learning process of conscious choices involves the associated collection of data, continuous feedback and further assessment to optimize future decision-making.
Keywords
- Knowledge Transfer
- Quality Function Deployment
- Bayesian Belief Network
- Intelligence Gathering
- Electronic Meeting 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.
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Bibliography
Feldman, DA (2002) Critical thinking: strategies for decision making. Thomson, Boston
Clemen R (1997) Making hard decisions: an introduction to decision analysis. Duxbury Press, Pacific Grove
French S (1989) Readings in decision analysis. Chapman & Hall, London
Goodwin P, Wright G (1998) Decision analysis for management judgment, 2nd edn. Wiley, Chichester
Keeney RL, Raiffa H (1976) Decisions with multiple objectives—preferences and value tradeoffs. Cambridge University Press, Cambridge
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© 2011 Springer-Verlag London Limited
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Weijermars, R. (2011). Smart Decision-Making. In: Building Corporate IQ – Moving the Energy Business from Smart to Genius. Springer, London. https://doi.org/10.1007/978-0-85729-679-5_8
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DOI: https://doi.org/10.1007/978-0-85729-679-5_8
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