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StatusThe thesis was presented on the 11 December, 2015Approved by NCAA on the 21 April, 2016 Abstract![]() ![]() ThesisCZU 004.9:658
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The thesis to obtain the scientific degree of doctor in economic sciences. Specialty 523.01 Cybernetics and economic informatics, Chisinau, 2015.
The structure of the work: introduction, three chapters, general conclusions and recommendations, bibliography of 152 sources, 4 annexes, 96 pages of main text, 19 figures and 43 tables. The findings are published in 32 scientific papers.
The aim of the thesisis to research and develop the theoretical and methodical base of forecasting the financial situation of the enterprise, based on the information methods associated with labor-intensive of computational operations by automatic recognition of sets of values of financial performance and the dynamics of their retrospective changes characteristic of pre-crisis period.
In the work had the following objectives: to develop a new method in the field of automation of the process of early warning of the development of the crisis at the enterprise, based on the use of modern information technologies, which is excluding factors reduce the accuracy of forecasts, typical for conventional methods, also practically to realize the method by means the software development and gain predictive results.
Scientific novelty of the work includes: designing of information method by using a new approach in the field of programming modules prediction of crises, based on the automatic recognition of sets of values of financial performance and the dynamics of their changes characteristic of pre-crisis period. Solved scientific problem - increasing the accuracy of forecasts of the financial situation.
The theoretical significance lies in the fact that this work will contribute to the development of the theory of the design and development of software in the field of forecasting of the financial condition and crisis situations on the enterprises.
The practical significance. The results obtained can be used in business leaders, for the early diagnosis of emerging crises and to determine the optimum out of this situation, for evaluation financial condition of the enterprise-counterparties.
Implementation of scientific results: developed software is implemented at 2 enterprises of Moldova: Bilgocom S.R.L. and ROSAND-LP S.R.L.