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ИД «Финансы и кредит»






Finance and Credit

An end-to-end technology management model in cross-border M&A transactions

Vol. 29, Iss. 8, AUGUST 2023

Received: 24 April 2023

Received in revised form: 15 May 2023

Accepted: 29 May 2023

Available online: 30 August 2023

Subject Heading: INVESTING

JEL Classification: G34

Pages: 1709–1729


Valerii V. IVANOV Russian Foreign Trade Academy of Ministry of Economic Development of the Russian Federation (RFTA), Moscow, Russian Federation

ORCID id: not available

Maksim V. DENISOV Russian Foreign Trade Academy of Ministry of Economic Development of the Russian Federation (RFTA), Moscow, Russian Federation

ORCID id: not available

Subject. This article examines an adapted management model based on the use of end-to-end technologies in key business processes for finding target companies and deciding on the feasibility of implementing mergers and acquisitions.
Objectives. The article aims to present an author-developed model for managing end-to-end technologies in cross-border mergers and acquisitions.
Methods. For the study, we used empirical and logical constructions, analysis and synthesis, generalization, formalization, systems approach, and the graphic and tabular methods of visualization.
Results. The article identifies trends in the use of artificial intelligence in the main elements of the developed management model along with traditional ways of managing mergers and acquisitions. The proposed system management integrator helps use machine learning algorithms and business process controlling to increase the accuracy and efficiency of decisions and maximize the synergy of the buyer and the target company after the implementation of mergers and acquisitions, which is verified using mathematical algorithms and developed indicators for the use of artificial intelligence and big data business process management.
Conclusions. The management model of cross-border mergers and acquisitions of companies determines the use of end-to-end technologies to improve the time and quality of management decision-making.

Keywords: mergers and acquisitions, end-to-end technologies, artificial intelligence, cross-border markets, business processes


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