Entropy analysis of organizations' knowledge systems on the example of project management standards

Abstract

The problems of managing complex project management systems are associated with numerous parameters that characterize
their state. Most modern methods of forecasting project activity are based on the use of statistical modeling of individual processes
and tools, for example, a work schedule, which requires both the justification of the adopted laws for the distribution of random work
durations and the planning of a certain organizational and technological sequence of work. The collection and processing of data on
all parameters is a complex and expensive procedure, and a complete justification of all project characteristics can lead to the information complexity of the system under consideration. However, it is impossible to refuse this due to the need to obtain relevant and
reliable data for the adoption and implementation of management decisions. Thus, it is necessary to look for ways and means to reduce the number of controlled parameters, create algorithms that allow predicting the presence of undesirable processes in a controlled system, and develop recommendations for a more detailed analysis of individual project management subsystems. To overcome the informational complexity of predictive models, it is proposed to use a phenomenological approach that is associated with
the definition of entropy, which allows using a minimum of information about the planned and updated course of the project. The
concept of entropy is one of the key concepts of thermodynamics and information theory, and also finds its application in a number
of other sciences, the subject of research and study of which are complex stochastic systems. The possibilities of using entropy and
entropy modeling are currently being actively explored in the theory of project management. The paper considers an entropy approach to modeling project management systems, in which, on the basis of mathematical procedures arising from K. Shannon's information theory, information phenomenological models are created. The IPMA ICB 4.0 standard is considered as an example. The
developed tool creates the prerequisites for the effective use of the entropy approach to assessing complex economic and social systems.