Structural-functional model of anti-crisis financial management of the enterprise
Abstract
The article discloses the procedure for the formation of the structural-functional model of anti-crisis financial management at the enterprise. For the purpose of a clearer presentation, the set of works on anti-crisis financial management of the enterprise from the perspective of the process approach has been analyzed. It was determined that the modeling of the anti-crisis financial management process should be carried out using modern analytical technologies, which will allow at the system level to form the necessary solutions taking into account the production features of the enterprise and achieve their effective implementation. It is established that in order to achieve greater efficiency of the management process, it is advisable to develop a structural-functional model of anti-crisis financial management. This allows you to determine the sequence of relevant actions and visualize all participants in the management process, the stages of the simulated process, their relationship, methodological support and results, both intermediate and general. The proposed methodological approach allows us to synthesize, within the framework of a single methodology, the process of developing a set of reasonable anti-crisis measures at the enterprise; provides regulation of management activity parameters at each stage of model development; significantly reduces the influence of uncertainty factors on the accuracy of the choice of anti-crisis measures, creates the prerequisites for improving the formation of an anti-crisis financial management program for the enterprise and further effective activities. Using the proposed methodology will allow us to consistently establish the procedure for conducting anti-crisis financial management, visually present the direct participants in this process, conduct its critical analysis and determine optimization paths, that is, the ability to create an improved model to increase the effectiveness of management decisions.
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References
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