A.M. Belevtsev1, V.V.Dvoretskiy2, S.S. Aleksandrova3

1–3 Moscow Aviation Institute (National Research University) (MAI) (Moscow, Russia)
1 ambelevtsev@yandex.ru, 2 v.dworetsky@yandex.ru, 3 aleksandrovass@mai.ru

The study examines the specific challenges of addressing global monitoring of scientific and technical information, focusing on processing significant volumes of heterogeneous and unstructured data. One of the pressing tasks in strategic enterprise management is the monitoring and identification of emerging and substitutive technologies. The innovative development of the economy, particularly in high-tech sectors, necessitates new approaches to solving problems of strategic analysis, forecasting, and prioritizing the development of technological trends and technologies, ensuring the creation of forward-looking plans for research and development (R&D) and engineering projects.

Established methods for assessing and forecasting technology development levels are based on the creation of a structural-functional concept for the evolution of the studied domain, its top-down structural decomposition, and expert evaluation within a specified time frame. This approach has several significant limitations, as it fails to account for globalization and the high dynamics of emerging technology trajectories and the bottom-up formation of technological frontiers. Under such conditions, effective thematic search and analytical data processing are feasible only through the use of automated information-analytical systems and AI-powered search services. The article proposes a general procedure for identifying substitutive technologies and its implementation based on logical inference equations within information-analytical systems for strategic enterprise development analysis.

Objective – Develop specialized procedures for identifying emerging and substitutive technologies within the specified domain.

The study presents a general monitoring procedure, identifies key stages for tracking technological trends, outlines the tasks for each stage, and specifies the expected outcomes.

The research introduces a novel approach that enables solving tasks related to identifying substitutive technologies, assessing their development potential, and determining the timing of critical milestones.

Belevtsev A.M., Dvoretskiy V.V., Aleksandrova S.S. Methodology for identification of replacement technologies for discipline analysis strategic development of a high-tech enterprise. Science Intensive Technologies. 2024. V. 25. № 6. P. 12−18. DOI: https://doi.org/ 10.18127/j19998465-202406-02 (in Russian)

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