DIGITAL FORECASTING TOOLS FOR ENSURING THE SOCIO-ECONOMIC STABILITY OF SUSTAINABLE GROWTH BUSINESS MODELS

Abstract

Introduction. In the context of digital transformation, global economic turbulence, and increasing social risks, ensuring the socio-economic stability of sustainable growth business models has become a critical challenge for modern enterprises. Traditional management approaches are increasingly unable to provide timely and reliable assessments of future stability, which necessitates the application of digital forecasting tools capable of processing complex, multidimensional data and reducing uncertainty in strategic decision-making. Purpose. The purpose of this study is to substantiate the role of digital forecasting tools in ensuring the socio-economic stability of sustainable growth business models and to identify their potential for improving the quality of strategic management decisions in a volatile economic environment. Methods. The research is based on a combination of systemic and structural-functional analysis, economic and statistical methods, comparative analysis, and forecasting modeling. Digital analytics tools, business intelligence systems, and data-driven forecasting approaches were used to assess the impact of digitalization on the stability and adaptability of business models. The methodological framework integrates sustainability indicators, socio-economic performance metrics, and predictive analytics. Results. The study identifies key digital forecasting tools that enhance the socio-economic stability of sustainable growth business models by improving financial resilience, social responsibility, and adaptive capacity. The results demonstrate that the integration of predictive analytics, big data processing, and digital dashboards enables early identification of destabilizing factors and supports proactive managerial responses. It is established that digital forecasting significantly reduces strategic risks and increases the long-term competitiveness of enterprises. Conclusion. The study concludes that the implementation of digital forecasting tools within the strategic management system of sustainable growth business models is an effective mechanism for ensuring socio-economic stability. Practical recommendations include the integration of digital analytics platforms into decision-making processes, the development of predictive sustainability indicators, and the alignment of digital tools with long-term business objectives. These measures contribute to strengthening business resilience and achieving sustainable development goals.