@article{66825,
year={2020},
issn={2239-7221},
journal={RIVISTA DI STUDI SULLA SOSTENIBILITA'},
number={1},
volume={X},
doi={10.3280/RISS2020-001004},
title={Long-term financial sustainability: An evaluation methodology with threats considerations},
abstract={It is shown that one of the directions for increasing the efficiency of managing corporate systems (CS) under the influence of a large number of destabilizing fa-tors ("shocks", threats) is the development of a set of models of estimation and analysis of the long-term stability of CS in proactive contour of management, which allow timely diagnosing a decrease in the company’s security level and adopting effective preventive management decisions. A review of existing approa-ches to the formation of such a set of models showed a number of limitations, the result of which is a low forecasting accuracy. The proposed approach, unlike the existing ones, allows to: 1) determine the optimal dimension of the information space of diagnostic factors; 2) find the optimal number of classes of situations for which differentiated management strategies can be developed; 3) determine the period of pre-emption, which does not require updating the models of retrospective diagnostics. This makes it possible to identify the class of not only current, but also forecast situations for a given horizon of proactive management and to choose an adequate preventive strategy.}
url={http://www.francoangeli.it/Riviste/Scheda_rivista.aspx?idArticolo=66825},
author={Lidiya Guryanova and Olena Bolotova and Vitalii Gvozdytskyi and Sergienko Olena}
pages={47-69},
language={EN}}