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The Adaptive Assessment of Financial Security of Retail Industry Entities in the Context of Active Development of Meta-Spatial Business Collaborations Chernov O. O., Kyzlіuk O. A., Serhiienko O. A.
Chernov, Oleksandr O., Kyzlіuk, Oleksandr A., and Serhiienko, Olena A. (2024) “The Adaptive Assessment of Financial Security of Retail Industry Entities in the Context of Active Development of Meta-Spatial Business Collaborations.” Business Inform 7:154–164. https://doi.org/10.32983/2222-4459-2024-7-154-164
Section: Information Technologies in the Economy
Article is written in UkrainianDownloads/views: 0 | Download article (pdf) - |
UDC 336.64
Abstract: The article examines the relationship between the development of metaspatial business collaborations in the sphere of retail and the financial security of economic entities (FSEE), which is defined as a state characterized by: balance and quality of financial instruments, technologies and services; resilience to internal and external threats; the ability of the financial system to ensure the achievement of financial goals. An improved methodology for adaptive assessment and analysis of the FSEE has been proposed, which includes three blocks: a block for assessing the state of the FSEE, a block for threat analysis and a block for the development of managerial influences. The FSEE assessment block includes the following four stages: formation of the FSEE scorecard; comprehensive assessment of the level of the FSEE; assessment of the state of individual groups of the FSEE; identification of the FSEE states. The model of formation of the system of indicators is the initial model of the block, the purpose of which is to form and filter preliminary financial indicators that are most significant for such an assessment. The formation of indicators is possible, depending on information security, by expert and statistical methods. The model of integral assessment of the level of the FSEE allows to build an integral indicator that reflects the general level of the financial component of economic security. Its value is computed using the method of constructing a taxonomic indicator of the level of development, which is one of the methods of multivariate analysis. The model for assessing the state of individual groups of the FSEE includes the formation of values of local levels of financial security for certain groups of financial indicators and even an assessment of the impact of these indicators on the corresponding local level of financial security. The developed set of models allows to obtain forecast assessmets that can be used both in the development of the strategy of economic security of enterprise and in the process of operational management of the FSEE. The proposed set of models has been approbated to assess the level of financial security on the basis of data on the activities of 20 retailers in Ukraine. To assess and analyze financial security, neural network models were used, which, due to the property of generalization, insensitivity to small changes in input signals, the ability to learn and abstract, made it possible to solve the problems of the amount of computing resources, as well as the lack of complete information. The use of a neural network approach to the assessment and analysis of the financial component of economic security made it possible to better present a model of the joint influence of factors and threats on the level of the FSEE. In the context of the active development of metaspatial business collaborations, especially in the field of retail, the proposed methodology for adaptive assessment and analysis of financial security of economic entities is extremely relevant.
Keywords: retail, business collaboration, financial security, analysis, assessment, adaptive model, integral assessment, neural network.
Fig.: 5. Tabl.: 1. Formulae: 12. Bibl.: 11.
Chernov Oleksandr O. – Postgraduate Student, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: [email protected] Kyzlіuk Oleksandr A. – Postgraduate Student, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: [email protected] Serhiienko Olena A. – Doctor of Sciences (Economics), Professor, Professor, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: [email protected]
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