'Knowledge is the life–blood of effective decision–making'
Trying to summarise my reflections about the learning points of RDM, and after have read some literature about the decision making process beyond the tools and techniques available to support it, I have reached the conclusion that indeed, knowledge is the keystone of any decision making process, never mind if the problem or situation we are addressing is simple or very complex.
We have seen how powerful and useful DM’s techniques such decision trees, AHP, SMART and so forth are and how they have been designed to include all the different aspects that any decision problem could have, you can adapt the tool according the situation and its particular characteristics. However from my point of view, those techniques are useless if we as decision makers we don’t feed them with the meaningful and reliable information, if the people involved in the process doesn’t have the enough knowledge to address the situation to logical interpret analyze the problem, identify the risks, uncertainties and determining their complexity to appropriate choose the tool and finally when the decision is made, commit to action to implement it.
So knoweldge is everywhere, and as our KBAM web page said, ...is the life-blood of effective decision-making’
01 May 2011 00:07
| 
Tags: Rdm
| 
Comments (2)
| 
Report a problem
Loading…
i agree with you paula…how to manage knowledge is the foundation of carrying out any other acadamic actions…also the decision making…
01 May 2011, 00:57
I totally agree your words “knowledge is the keystone of any decision making process”. In the decision-making processes, managers always face the problems, such as the limitations of time and resources, which cause the decision biases. In order to reduce the biases, the preventation and preparation systems should be bulit earlier. In the other words, a learning organization is the basic concept. When an organization chould effectively generate and analyze the relative information in general time, the knowledge will be prepared and the bias of decision will be significantly reduced.
01 May 2011, 01:12
Add a comment
You are not allowed to comment on this entry as it has restricted commenting permissions.