Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 9 | |
Section | Energy Management, Energy Conversion and Storage | |
DOI | https://doi.org/10.1051/e3sconf/202345801004 | |
Published online | 07 December 2023 |
Financial controlling in electricity companies using enterprise resource planning software
Kazan Federal University, Institute of Management, Economics and Finance, 4 Butlerov street, Kazan 420012, Russian Federation
* Corresponding author: EJStrelnik@kpfu.ru
The article is devoted to the study of financial controlling in corporate management based on ERP systems. The purpose of the study is to substantiate key top-level indicators for understanding the effectiveness of financial controlling in electricity companies. To achieve this goal, the stages of development of controlling from company cost management to complex financial processes and their implementation as part of ERP systems were studied. In the course of the study, we formulated a hypothesis that the most preferred key indicators for assessing financial controlling may be value management indicators. The choice and justification of key indicators for creating a financial controlling system were also carried out; financial controlling was considered as the basis for creating a value-oriented corporate management system. Based on the hypothesis put forward, a regression analysis was carried out, which showed a significant relationship between indicators for the sample of electricity companies under this study. The total sample size was about 600 observations. As a result of the study, it was proposed to use the indicator of economic value added (EVA) or monetary value added (CVA) as a basic indicator of effectiveness of financial controlling system in electricity companies, which, according to research, have a fairly high correlation with the indicator of market value added (MVA).
© The Authors, published by EDP Sciences, 2023
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.