SHS Web of Conf.
Volume 89, 2020Conf-Corp 2020 – International Scientific-Practical Conference “Transformation of Corporate Governance Models under the New Economic Reality”
|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|
|Published online||23 December 2020|
Transformation of corporate governance in the context of digitalization of the economy
Moscow International University, Leningradsky Prospect, 17, 125040 Moscow, Russia
* Corresponding author: email@example.com
The purpose of the work is to identify areas for improving the efficiency of corporate governance in the context of the digitalization of the economy. The characteristic features of a corporation as a system, the development of which is influenced by its subsystems and supersystem, have been highlighted and described. It has been shown that the quality of management impact on a corporation depends on how fully the experience of the corporation’s development in the past is taken into account. Adequate forecasting of its possible states in the future is also important. Based on the study of the triad of the processes of development of socio- economic systems (ontogenesis, phylogenesis and technogenesis), it is shown that currently there is an imbalance caused by a sharp acceleration of technogenesis. The dialectical consideration of the triad of developmental processes led to the conclusion that the imbalance was caused primarily by the exacerbation of the contradiction between technogenesis and ontogenesis. As a point of relevance for resolving the revealed contradiction, it is proposed to shift the emphasis in corporate management to phylogenesis. Specific measures for the development of phylogonese in corporations are the introduction and development of new forms of joint activities, the transformation of organizational structures, the creation of an atmosphere of mutual understanding, justice, morality, ethics, and culture.
© 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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