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Strategic Data-Based Wisdom: Applying Aristotle's Theory of Action to the DIKW Model
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Author(s): Cristiano Ciappei (Università di Firenze, Italy)and Maria Cinque (Università Campus Bio-Medico, Italy)
Copyright: 2015
Pages: 25
Source title:
Strategic Data-Based Wisdom in the Big Data Era
Source Author(s)/Editor(s): John Girard (Middle Georgia State College, USA), Deanna Klein (Minot State University, USA)and Kristi Berg (Minot State University, USA)
DOI: 10.4018/978-1-4666-8122-4.ch010
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Abstract
In an increasingly complex world, efficiently extracting meaning from the available amount of raw data is critical. We need a different view of technology, leadership, and culture to meet this challenge. In this chapter, a theoretical framework is proposed that reformulates the DIKW (Data-Information-Knowledge-Wisdom) model with the use of Aristotelian categories concerning the profiles of action (praxis and poiesis) and taking into account the dimensions of the agent (autos and nomos) derived from Kant's theories. Furthermore, the authors match the DIKW Pyramid and the DBW (Databased-Wisdom Model) in a new framework for Strategic Data-Based Wisdom, which can also be applied to the different phases of the problem solving process (the WIK model for problem solving).
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