Year: 2025
Type: article
Abstract: The relevance of the study of the practice of sustainability management of modern business is explained by the increased risks for this sustainability in the context of digital transformation. Intellectual resources are critical for business sustainability, but the cause-and-effect relationships of managing these resources in the context of digital transformation are unknown and therefore need to be clarified. The purpose of the article is to determine the prospects for improving business sustainability management in the context of digital transformation through the optimization of the structure of intellectual resources. Objectives: to establish the contribution of each type of intellectual resources to business sustainability in the context of digital transformation; to determine the potential for increasing business sustainability in the context of digital transformation based on maximizing the use of big data and artificial intelligence. Methodology involves conducting a factor analysis of business sustainability in the context of digital transformation using regression analysis, as well as forecasting the prospects for increasing this sustainability with the expanded use of big data and artificial intelligence in management. Results. The contribution of intellectual resources to business sustainability is modeled. The disadvantage of the Russian business sustainability management model associated with reliance on the intellectual resources of human nature is revealed. As an alternative model, automation of management using big data and artificial intelligence, which make the greatest contribution to business sustainability, is proposed. Conclusions. In the context of digital transformation, intellectual resources of a technological nature big data and artificial intelligence are of decisive importance for business sustainability. The prospect of improving the sustainability management model of Russian business is associated with the expanded use of automation tools in management.
Author: A. S. Smetanin
Institution: Volgograd State Technical University
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410764167