Abstract

Nowadays, when making managerial decisions, specialists are faced with the need to process ever-increasing volumes of information in an increasingly shorter time. The need for the development of a methodology for social forecasting on the basis of detailed development models is growing. Since the basis of the activity of the socio-economic system of any level is an anthropogenic factor, this increases the degree of probability of the implementation of various scenarios. To develop more accurate forecasts, it is necessary to use the tools of the economics of quality standardization, metrology, quality management. Standardization determines the ability to normalize and assess sustainability indicators of development, as well as management methods. Metrology provides uniform methods for measuring these indicators. Based on the received information, quality management systems allow making reliable managerial decisions. The use of tools of the economics of quality is possible at almost all stages of socio-economic modelling. The role of elements of the economics of quality, in particular standardization, is especially growing in the development of the digital economy and “smart cities”, where a complete unification of the formats for accumulating and transmitting information to all users is required.

Highlights

  • Modern business conditions are complex and unpredictable

  • Changes are becoming more dynamic, and on the other, the amount of information is sharply increasing. This leads to the fact that when making managerial decisions, specialists are faced with the need to process more and more data, but at the same time, the time for making decisions is constantly reduced

  • The analysis showed that the use of tools of the economics of quality is possible at almost all stages of socio-economic modelling

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Summary

Introduction

Changes are becoming more dynamic, and on the other, the amount of information is sharply increasing. This leads to the fact that when making managerial decisions, specialists are faced with the need to process more and more data, but at the same time, the time for making decisions is constantly reduced. The increasing requirements for quality management complicate this process. In this case, the investor is guaranteed a return on investment. Petersburg and Moscow [1]

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