REGRESSION MODELS FOR DETERMINING THE RISK OF INSOLVENCY OF AGRICULTURAL ORGANIZATIONS

The authors describe the current state of affairs in the global ICT industry and in the markets themselves, on the network, in digital ecosystems, on marketplaces, where big tech decides to launch new lines of gadgets for the next breakthroughs in AI and on the experience of Big Data, make forecasts for the mainstream and on potential leaders in Industry 4.0.The main tasks for the development of the cyber environment and the space of virtual and additional reality determine the tasks of the growing opposition between the collective West and the countries of the global South, the awakening East and Russia, which is fighting for its own self-purification.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.34660/inf.2024.73.60.252
Primary Topic
Banking, Crisis Management, COVID-19 Impact
Type
article
Field-Weighted Citation Impact
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article

REGRESSION MODELS FOR DETERMINING THE RISK OF INSOLVENCY OF AGRICULTURAL ORGANIZATIONS

Oleg Sergienko
Banking, Crisis Management, COVID-19 Impact
article

REGRESSION MODELS FOR DETERMINING THE RISK OF INSOLVENCY OF AGRICULTURAL ORGANIZATIONS

Oleg Sergienko
article en

Abstract

The authors describe the current state of affairs in the global ICT industry and in the markets themselves, on the network, in digital ecosystems, on marketplaces, where big tech decides to launch new lines of gadgets for the next breakthroughs in AI and on the experience of Big Data, make forecasts for the mainstream and on potential leaders in Industry 4.0.The main tasks for the development of the cyber environment and the space of virtual and additional reality determine the tasks of the growing opposition between the collective West and the countries of the global South, the awakening East and Russia, which is fighting for its own self-purification.

Omsk Academy of the Russian Interior Ministry (RU)
Zero hunger
Openalex Percentile: Top 60%
Banking, Crisis Management, COVID-19 Impact
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