INTEGRATION OF ESG APPROACHES AND ARTIFICIAL INTELLIGENCE IN THE BUSINESS DEVELOPMENT MANAGEMENT SYSTEM

Abstract

The article reveals the role of integrating ESG approaches and artificial intelligence technologies in the system of strategic management of enterprise development as a key factor in increasing management efficiency, transparency of business processes and formation of economic value of enterprises in the conditions of digital transformation of the economy. The purpose of the article is to study the impact of ESG-oriented management approaches and intelligent digital technologies on the effectiveness of strategic management of enterprises in the conditions of an intensifying competitive environment and increasing requirements for sustainable development. The paper examines the essence of the application of ESG indicators in the corporate governance system, identifies areas of use of artificial intelligence technologies in the processes of strategic planning, risk management, budgeting, controlling and the formation of non-financial reporting. Particular attention is paid to the use of machine learning algorithms, business analytics systems and digital platforms to support management decision-making as tools for increasing the adaptability of enterprise management systems. The research methods are based on a combination of theoretical analysis of modern scientific approaches to ESG-transformation of corporate governance, systematization of practices of using artificial intelligence technologies in management processes, as well as the application of methods of systemic, structural-functional, comparative and economic-analytical analysis. The research was carried out on the basis of a generalization of financial and economic indicators of the activities of enterprises in the real sector of the economy of Ukraine for 2021–2024. The results of the study showed that the integration of ESG approaches and artificial intelligence technologies contributes to improving the quality of strategic management decisions, optimizing operating costs, reducing the level of management risks and increasing the economic added value of enterprises. The use of intelligent ESG data analysis systems ensures increased transparency of corporate governance, efficiency of resource provision and investment attractiveness of enterprises. At the same time, limitations in the implementation of ESG-oriented digital tools associated with high investment costs, insufficient level of digital maturity of enterprises and shortage of qualified personnel were identified. The conclusions show that the integration of ESG approaches and artificial intelligence technologies is an important direction for increasing the competitiveness of enterprises and ensuring their long-term economic sustainability. The effective use of intelligent analytical tools contributes to increasing the effectiveness of strategic management and the formation of a modern model of digitally-oriented corporate development. Further research should be directed at developing econometric models for assessing the impact of ESG factors and artificial intelligence technologies on the creation of enterprise value and the formation of industry approaches to their practical implementation.