USING THE ENTROPY APPROACH IN THE ANALYSIS OF KNOWLEDGE SYSTEMS IN THE FIELD OF PROJECT MANAGEMENT BY THE EXAMPLE OF ICB 4.0 IPMA

Abstract

The article proposes to consider examples of studying complex systems
using entropy analysis. The interpretation of the adjacency matrix created when
analyzing a system, such as a channel matrix, is considered. It is proposed that
an example of applying such logic when calculating information entropy for
studying such a system be regarded as a model of individual requirements for the
competencies of project managers proposed by the International Project
Management Association (ICB IPMA). The approaches previously developed by the
authors to the analysis of systems of factors through visualization in the form of a
“system landscape” that arises when analyzing a Markov model, as well as through
simulation modeling of transient processes in a discrete Markov system, are proposed
to be supplemented with the logic of quantitative assessment of the properties of such
systems as “information” systems, using the concept of “entropy” as a measure of the
efficiency (organization) of internal information in the analyzed systems. An
interpretation of the obtained data is proposed when applying the entropy approach,
using the example of the ICB IPMA system under consideration. The presented
results are proposed to be considered along with other options (models) of analysis
from the point of view of one of the possible options for implementing the concept
of “systems engineering based on modeling” when analyzing knowledge systems
in various fields of professional activity. It seems likely to use the proposed
approach, including comparing different knowledge systems existing in the same
line of work, particularly in professional project management, where a whole
family of competing knowledge systems, competency models, and certification
systems has existed for a long time.