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

Abstract

The problems of managing complex project management systems areassociated 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, anda complete justification of all project characteristics can lead to the infor-mation 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 re-duce the number of controlled parameters, create algorithms that allow predicting the presence of undesirable processes in a con-trolled system, and develop recommendations for a more detailed analysis of individual project management subsystems. To over-come the informational complexity of predictive models, it is proposed to use a phenomenological approach that is associated with the definition of entropy, which allows usinga 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 researchand 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 ap-proach to modeling project management systems, in which, on the basis of mathematical procedures arising from K. Shannon's in-formation 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 sys-tems.