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Forecasting Profit from Sales Based on the Bit Analysis Methodology as an Element of the Process of Sustainable Economic Growth (ESG) Concept

In: Finance, Economics, and Industry for Sustainable Development

Author

Listed:
  • Gniyatulla Ishbayev

    (Limited Liability Company Scientific and Production Enterprise “BURINTEKH”)

  • Anatoly Kuritsyn

    (Limited Liability Company Scientific and Production Enterprise “BURINTEKH”)

  • Natalia Lazareva

    (Saint-Petersburg State Marine Technical University
    Saint-Petersburg University of Management Technologies and Economics)

Abstract

The article discusses an innovative approach to forecasting sales profits based on a number of two-factor multiplicative models of growth rates. It is shown that for these models, there are dynamic trajectories of changes in factors that ensure sustainable economic growth and have a quadratic essence. Based on them, a target-based algorithm for calculating forecast indicators of an enterprise’s commercial activity has been developed, which makes it possible to determine the optimal possible growth rate of sales profits and the maximum growth rates of revenue and costs corresponding to this level. A chain of transformations of growth rates is presented, which allows not only a comprehensive but also a systematic approach to the problem of profit forecasting, as an element of sustainable economic growth within the framework of the ESG concept.

Suggested Citation

  • Gniyatulla Ishbayev & Anatoly Kuritsyn & Natalia Lazareva, 2024. "Forecasting Profit from Sales Based on the Bit Analysis Methodology as an Element of the Process of Sustainable Economic Growth (ESG) Concept," Springer Proceedings in Business and Economics, in: Anna Rumyantseva & Hod Anyigba & Elena Sintsova & Natalia V. Vasilenko (ed.), Finance, Economics, and Industry for Sustainable Development, pages 253-263, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-56380-5_23
    DOI: 10.1007/978-3-031-56380-5_23
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