Abstract:
This paper considers the process of
influence of digitalized management on
the financial risks of industrial enterprises.
An algorithm for determining
the category of financial risks of industrial
enterprises has been developed.
Depending on the values of the coefficient
of variation of deviations of
financial ratios from the standards,
five categories of financial risks have
been distinguished – minimum, low
permissible, critical, catastrophic. The
categories of financial risks of industrial
enterprises of the energy sector on
the basis of liquidity indicators were
determined. The indicators with the
help of which it is possible to determine
the level of digitalized management
have been systematized. The parameters
of low, medium, and high levels
of digitalized management of industrial
enterprises were substantiated.
The relationship between the level of
digitalized management of industrial
enterprises and the categories of
financial risks has been established. To
assess the impact of digitalized management
on the financial risks of industrial
enterprises, a cross matrix “level
of digitalized management – category
of financial risk” is proposed. This has
made it possible to justify the expediency
of using three strategic directions
of influence of digitalized management
on the financial risks of industrial
enterprises – the strategy of an innovator,
follower, and observer. It has
been established that while the innovator’s
strategy assumes the maximum,
the observer’s strategy is a minimum of
effort and aims to actively use digital
tools to manage this process. The practical
use of the proposed directions of
influence of digitalized management on
the financial risks of industrial enterprises
will provide an integrative combination
of quantitative and qualitative
results. In particular, achieving a
stable financial condition of industrial
enterprises in the context of digital
transformation of the economy
Description:
Стаття у науковому журналі "Eastern-European Journal of Enterprise Technologies" ISSN 1729-3774 (print), ISSN 1729-4061 (online)
Publisher:
PC TECHNOLOGY CENTER
Ukrainian State University of Railway Transport
DOI: 10.15587/1729-4061
