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Economic Analysis: Theory and Practice
 

Managerial analysis and assessment of customs authorities' performance

Vol. 19, Iss. 11, NOVEMBER 2020

Received: 27 August 2020

Received in revised form: 12 September 2020

Accepted: 26 September 2020

Available online: 27 November 2020

Subject Heading: MANAGERIAL ANALYSIS

JEL Classification: C02, C65, D81, P47

Pages: 2068–2092

https://doi.org/10.24891/ea.19.11.2068

Gupanova Yu.E. Russian Customs Academy, Lyubertsy, Moscow Oblast, Russian Federation
vl-rfei@mail.ru

https://orcid.org/0000-0001-5213-413X

Goremykina G.I. Plekhanov Russian University of Economics, Moscow, Russian Federation
g_iv.05@mail.ru

https://orcid.org/0000-0002-8047-5393

Subject. The article considers the performance of the Federal Customs Service of Russia, methodology and management analysis of customs authorities’ activities, based on the proposed areas of assessment and generalized system of indicators.
Objectives. We focus on developing the assessment and analysis of customs activities in key areas, using the intelligent modeling methods.
Methods. The simulation rests on the knowledge technology in the fuzzy logic format. The Mamdani’s algorithm serves as a modeling algorithm. The computer implementation of the mathematical model is conducted, using the MATLAB Fuzzy Logic Toolbox.
Results. The comparative analysis of the evolution of approaches to assessing activities of the customs authorities of the Russian Federation and a number of foreign countries unveiled trends and directions in the development of a methodology for assessment, taking into account the needs of all stakeholders. Using the intelligent measurement methodology, we created a mathematical model and implemented it as a computer simulation to assess delivering on objectives related to implementation of the fiscal function of customs authorities.
Conclusions. The proposed methodology enables to quantify the performance in different areas of customs authorities' functionality and to make informed management decisions on the basis of the created information base.

Keywords: customs authorities, performance assessment, managerial analysis, intelligent modeling, fuzzy logic

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