
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Organizational and management mechanisms for the digital transformation of economic activities

AbstractThe study is devoted to the development of digital technologies in the forest industry, which potential in Russia is practically not measured and belongs to the state ownership at all. The work revealed that forests are exposed to fires, illegal logging, flooding, the spread of diseases, etc. every year, which requires state and regional structures to constantly monitor and control the state of the forest fund. The study conducted an analysis of indicators related to the state of the forest fund, which revealed that in recent years, the volumes of forests and wood have not changed, but there is an increasing tendency to destroy them. Based on the results of the analysis, it was suggested that in order to effectively account for, analyze, monitor and control the forest in the forest industry, it is necessary to apply digital technologies that will allow for the effective implementation of annual forestry supervision. At the end of the study, the stages of digital forest taxation related to the control of the number of tree stands were presented.
- Plekhanov Russian University of Economics Russian Federation
- Financial University Russian Federation
- Finance and Economics Institute of Tajikistan Tajikistan
- Financial University Russian Federation
- State University of Management Russian Federation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
