Flows in the Digital Economy: New Approaches to Modeling, Analysis and Management

Abstract

The digital economy development is transforming modern management models for socio-economic systems. The main condition for improving the economic system management in the digital economy is the analysis of information about exact, real states at the moment, as well as about real changes in the system. In conditions when digitalization has provided almost continuous access to services and goods in streaming mode, the research purpose is to develop methods of operational real-time management of economic processes. This requires continuous monitoring, accounting and management of processes in dynamic economic systems. The elements of dynamic economic systems that describe states and changes in states are stocks and flows. The article proposes to assess the efficiency of flow management in the economic system, in their analytical description by methods putting aside the distortion of real data. This makes it possible to take into account even small changes in states in the system. As shown in the article, the best quality of analytical flow description is achieved by interpolating by splines. The effectiveness of the proposed method is assessed by modeling the dynamics of housing loans by cubic splines, with the transformation of the dynamics of states into a flow through differentiation. The analysis showed that the spline model analytics turns out to be relevant to the tasks of taking into account the real states of the process under study, with the possibility of transforming successive changes in the model – flow, rate and acceleration of the flow.