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A methodology for applying modern information technologies in the economic analysis of organization's risks
Author(s) -
S. Mitrovic,
В.П. Суйц
Publication year - 2020
Publication title -
economic analysis theory and practice
Language(s) - English
Resource type - Journals
eISSN - 2311-8725
pISSN - 2073-039X
DOI - 10.24891/ea.19.2.268
Subject(s) - risk analysis (engineering) , computer science , risk management , management science , audit , process (computing) , quantitative analysis (chemistry) , empirical research , knowledge management , process management , engineering , accounting , business , philosophy , chemistry , finance , chromatography , epistemology , operating system
Subject. The article examines theoretical, methodological and practical aspects of applying modern methods and information technologies to improve the economic risk analysis of organizations. Special attention is focused on internal audit and control, in particular, on the self-assessment procedure, being an innovative tool for monitoring and assessing risks to identify and minimize them within the corporate governance system.Objectives. The purpose is to study possibilities for improving the methodology for economic risk analysis of organizations through modern information technologies, innovative tools, and mathematical models.Methods. The study rests on methods of quantitative, qualitative analysis, popular scientific and empirical research in the field of economic sciences, including comparative, structural and functional methods of economic analysis, the desk study, methods of expert assessments, situation analysis, statistical assessment, testing parameters, etc.Results. The offered methodology is aimed at risk assessment and risk analysis of organizations. The results of the study contribute to the implementation of new tools of internal control, audit and analysis, in particular, the self-assessment procedure and the coefficient of reliability of results, which have a positive impact on efficient risk management and the enhancement of investment appeal of organizations.Conclusions. The automation of the risk analysis process and selected procedures and techniques should create conditions for a logical transition to more accurate (as compared to currently prevailing in practice) quantitative measurement methods, and for building the mathematical models that make it possible to predict and obtain results based on empirical data rather than on expert estimates.

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