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DOI: 10.15862/39FAOR425 (https://doi.org/10.15862/39FAOR425)

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Verkholetova M.O. [Stimulating company economic growth through digitalization of investment management] Russian journal of resources, conservation and recycling, 2025, Vol. 12, No. s4. Available at: https://resources.today/PDF/39FAOR425.pdf (in Russian). DOI: 10.15862/39FAOR425

Stimulating company economic growth through digitalization of investment management

Verkholetova Maria Olegovna
Financial University under the Government of the Russian Federation, Moscow, Russia
E-mail: verkholetovast@mail.ru

Abstract. Slowing investment momentum coupled with increasing technological competition highlights the need to revise investment decision-making tools at the level of individual economic entities. This paper explores the mechanisms by which digitalization of investment management is transformed into a source of sustainable company economic growth. The analysis focuses on changes in the procedures for selecting, monitoring, and controlling investment projects under the influence of predictive analytics, machine learning, and distributed ledger technologies. The paper traces the evolution of theoretical and methodological approaches from classical investment performance evaluation models to integrated digital investment portfolio management platforms, and systematizes the factors through which investment automation translates into increased business value. The analysis is based on statistics on fixed capital investment in the Russian Federation for 2022–2025, assessments of the economic impact of artificial intelligence technologies, and empirical data on the digital transformation priorities of Russian organizations. It has been established that the greatest contribution to stimulating growth comes from a combination of shortening the investment planning cycle, increasing the accuracy of cash flow forecasting, and reducing the share of subjective errors in project selection. A proprietary systematization of digital investment management tools has been developed, distinguishing their impact on the operational and strategic components of company growth. The practical significance of the proposed systematization lies in the potential application of this systematization by financial and investment departments of organizations when developing a roadmap for digitalization of the investment process, as well as by industry regulatory bodies when assessing enterprises’ readiness to transition to data-driven capital investment models.

Keywords: digitalization; investment activity; company economic growth; predictive analytics; artificial intelligence; fixed capital investment; capital investment efficiency; digital transformation; investment portfolio management; industry economics

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