Abstract
This article considers the algorithm for estimating and calculating the integrated indicator of sustainable business development. As the business structures of each industry will have their own, unique specifics and conditions of activity, this leads to the fact that the normative or recommended values of business indicators from one industry to another may differ. This should have an appropriate effect on the limits of the stability intervals of the integrated indicator. Individual indicators, which are calculated to assess sustainable development, should be based on primary data and, ultimately, provide information on the status and dynamics of business structures. Currently, the development and calculation of integrated indicators, which are aggregate or weighted indicators based on several other indicators, are widely used. Based on development indicators, an integrated indicator of sustainable development can be calculated, which will allow assessing the overall development in terms of its sustainability, as well as to compare the theoretical and actual results of its operation. The results of this analysis can serve as a basis for management decisions in the transition to sustainable development, thereby increasing not only the economic and social efficiency of business structures.
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Shmygol, N., Kasianok, M. (2022). Economic and Mathematical Methods for Classifying the Stability of Indicators in Assessing Business Development. In: Srivastava, P., Thivagar, M.L., Oros, G.I., Tan, C.C. (eds) Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications. Lecture Notes in Networks and Systems, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-19-5181-7_2
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