Elena Tishchenko

In 2024, Russia chairs the BRICS, having defined its global strategy as “strengthening multilateralism for equitable global development and security”. According to the methodology developed by Prof. V.L. Kvint, the global strategy depends on the relevant international, national, and corporate strategies of companies from the BRICS countries. Data economy uses algorithms for data processing and analysis, including AI solutions. Prof. V.L. Kvint defines the strategy as a combination of wisdom, a correct attack vector, and an adequate assessment of resources. Prof. A.A. Romanov and Prof. V.V. Kondratiev used Model-Based Systems Engineering 2.0 to adapt Prof. L.A. Bakhvalov’s methodology of system modeling to the modern conditions. All these principles can yield a new approach to multi-criteria modeling of related cross-country and cross-industry corporate strategies, especially if facilitated by the digital twin method and the interoperability policy. The major construction industry is high on the BRICS agenda in terms of large infrastructure and industrial facilities. Therefore, Model-Based Systems Engineering 2.0 provides good prospects for development strategy modeling.

This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.