EconPapers    
Economics at your fingertips  
 

The Cognitive Force Equations

Theodore J. Randles (), Lisa A. Gardner () and Lee Allison ()
Additional contact information
Theodore J. Randles: College of Science, Technology Engineering, and Mathematics, Eastern Kentucky University, Richmond, Kentucky 40475-3102, USA
Lisa A. Gardner: College of Business, Eastern Kentucky University, Richmond, Kentucky 40475-3102, USA
Lee Allison: College of Business, Eastern Kentucky University, Richmond, Kentucky 40475-3102, USA

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue 03, 1-17

Abstract: The knowledge spectrum provides information about pragmatic knowledge types, which are placed on a spectrum based on their potential cognitive force. Based on the relationship between insight and Dretske’s three knowledge types, a conceptual framework for the equations is provided. These equations provide a shorthand method for determining the cognitive force of a specific pragmatic knowledge type. Together, the graphical and mathematical techniques of knowledge microanalysis, which is based on the knowledge chemistry approach, will be calibrated and refined. Two tools will be used to estimate cognitive force. These tools will enable organisations to develop models of their existing and proposed knowledge-intensive processes for analysis and refinement.

Keywords: Knowledge spectrum; cognitive force; knowledge microanalysis (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649222500332
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:21:y:2022:i:03:n:s0219649222500332

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649222500332

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:jikmxx:v:21:y:2022:i:03:n:s0219649222500332