Issue |
SHS Web of Conf.
Volume 89, 2020
Conf-Corp 2020 – International Scientific-Practical Conference “Transformation of Corporate Governance Models under the New Economic Reality”
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 6 | |
Section | The Impact of New Technologies (Big Data, Artificial Intelligence, Neural Networks) on the Development and Efficiency of Corporate Governance Systems | |
DOI | https://doi.org/10.1051/shsconf/20208903003 | |
Published online | 23 December 2020 |
Influence of digitalization upon formation of corporate strategy and new business models of modern organizations
1 Astrakhan State University, Tatischev Str., 20a, 414056 Astrakhan, Russia
2 Caspian Pipeline Consortium, Kuibyshev Str., 62, 414056 Astrakhan, Russia
This paper asserts that the issue of change of power in a corporate management configuration is quite urgent; it emphasizes that corporate management should identify the right combination of social interests and corporate business interests within the context of social, economic, and political processes currently taking place in Russia. The pandemic and digitalization exert a profound influence upon those processes; the paper states the fact that the Russian practice of corporate management – how decisions are made and how their execution is controlled – is characterized with a low quality, owing to the practice of “manual management” that prevails at all the hierarchical levels. The main idea of this article is that Russian managers should gradually substitute the traditional hierarchy with a “natural” one, when one’s authority depends not on their official position, but on their contribution to work, when special emphasis is placed on self- control, on establishment of a horizontal control system based on the Agile approach. Managers ought to realize that they should adopt new business models by integrating cutting-edge technologies (digitalization and other forms of work) in all the aspects of their corporate business activities.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.