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An Information Algorithm: Advancing Financial Intelligence Management for Economic Security.

Authors :
Khrushch, Nila
Grytsyshen, Dymytrii
Baranovska, Tetiana
Hrabchuk, Iryna
Shevchuk, Oleksandr
Source :
Ingénierie des Systèmes d'Information; Oct2023, Vol. 28 Issue 5, p1387-1394, 8p
Publication Year :
2023

Abstract

This research aims to establish an optimized information foundation to bolster the effectiveness of financial intelligence management within the system of economic security. The chief scientific objective is to introduce an information algorithm, specifically designed for the management of financial intelligence, to fortify the economic security framework. The focal point of the research is the information support system pertaining to financial intelligence management. The research methodology is anchored in the application of contemporary information modeling methods, supplemented by functional algorithmization of processes. A modern graphic method is employed to enhance comprehensibility and accessibility. As an outcome of the study, a model of an information algorithm is presented, tailored to manage financial intelligence within the economic security system. However, the study acknowledges its limitations and does not incorporate all the elements of economic security assurance. Future research is recommended to delve into the specifics of information security within the financial intelligence management system. A distinct advantage of the proposed information algorithm lies in its graphic representation, enhancing the accessibility of the financial intelligence management system. The research scope is regional, indicating a limitation in the study. Future work should aim to expand the geographic applicability of these findings, enhancing the generalizability and relevance of the study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16331311
Volume :
28
Issue :
5
Database :
Complementary Index
Journal :
Ingénierie des Systèmes d'Information
Publication Type :
Academic Journal
Accession number :
173505123
Full Text :
https://doi.org/10.18280/isi.280527