A Path to Wisdom Redefined
I have been going some academic research on Knowledge and Innovation Management and how it interlinks to decision-making at a strategic level. Looking at the “DIKW Hiearchy or Pyramid” as presented by Rowley 2007.
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It starts with Data and goes to Information then Knowledge and at the top is Wisdom. Going through this model there are four assumptions that are made:
- All data is relevant.
- All data can be synthicised into factual information
- Information to Knowledge without applying Intelligence or logic to the information
- Wisdom can exist without insight or intelligence
So with these assumptions in mind I am proposing a new path from data to wisdom. (Roll over the words for the defintions from Merriam-Webster Dictionary)
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Data
Facts
Information
Knowledge
Insight
Wisdom
Below is an infomation graphic that shows a revised path from Data to Wisdom.
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Developing a Knowledge Management framework utilzing the above model allows to close the loop in the four assumptions. This would also allow the users of the model to take a closer look at what data and information is being used to develop knowledge and wisdom for any organization.
References:
Rowley, Jennifer E. 2007. “The Wisdom Hierarchy: Representations of the DIKW hierarchy.” Journal of Information Science 33: 163-80. doi.org/10.1177/0165551506070706