| 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 | 03002 | |
| Number of page(s) | 7 | |
| 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/20208903002 | |
| Published online | 23 December 2020 | |
Impact of digitalization on the evolution of internal corporate institutions in the northern resource-extraction region
Yugra State University, st. Chekhov, 16, 628011 Khanty-Mansiysk, Russian Federation
* Corresponding author: isvad74@gmail.com
The article examines domestic and foreign sources that study the impact of digitalization on the evolution of intracorporate institutions. Then the state of internal corporate institutions in the northern resource- extracting region - KhMAO-Yugra is considered. The author’s features of the classification of intracorporate institutions are proposed. Institutional traps of intracorporate institutions are identified and described, both all- Russian: the trap of the authoritarianism of the head and the trap of information asymmetry, and specific to Yugra KhMAD: the trap of bureaucracy, the trap of incentive payments and the trap of low unemployment. The influence of digitalization on the evolution of internal corporate institutions in the northern resource-extraction region is shown, including on overcoming old institutional traps and on the emergence of the new ones: the trap of ease of interaction and the trap of trust in the algorithms. The impact of the coronavirus pandemic on the pace of digitalization of internal corporate institutions in -Yugra KhMAD, which lags behind the global ones, was especially noted.
© 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.
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