Optimization of retail trade enterprises activity based on the information-management system of decision support

Azarenkov Artur
aspirant of Department of Economics Cybernetics and Information Technology, Odesa National Economics University, Odesa, Ukraine, E-mail:diadko.archi@gmail.com, ORCID ID: https://orcid.org/0009-0007-1092-5241

Hostryk Оleksii
PhD in Economics, Associate Professor, Department of Economic Cybernetics and Information Technology, Odesa National Economics University, Odesa, Ukraine, E-mail:AlexeyGostrik@gmail.com, ORCID ID: https://orcid.org/0000-0001-6143-6797

Cite this article:

Azarenkov A., Hostryk О. (2024) Optimization of retail trade enterprises activity based on the information-management system of decision support. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Optymizacija dijalnosti pidpryjemstv rozdribnoi torgivli na bazi informacijno-kerujuchoi systemy pidtrymky rishen; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 11 (324), pp.55-61.

Abstract

The article examines the evaluation and analysis of implementing an information management system known as an "SRS system" into the management practices of retail enterprises. This study aims to quantify the influence of contemporary automated systems on the profitability (ROA) of German retailers from 2020 to 2023. Retail businesses spend money on various operational needs, a significant part of which is staffing. In particular, personnel costs in European supermarkets account for about 12-20% of total costs. Optimizing the costs of working personnel through digitalization and the introduction of smart information systems can significantly reduce costs – up to 10-20%. However, such changes require investment in new systems and their support, which requires a strategic approach to planning. We used a simple grouping method to divide the companies into two groups: those using advanced technologies in business process management and the rest. To assess the influence of basic economic indicators such as liquidity, receivables, business growth, and store size on return on assets, regression analysis was used. The modeling results showed that enterprises with SRS systems implemented in their operations demonstrate higher financial performance compared to those that do not use such solutions. This once again emphasizes the importance of the principle of flexibility in business management, i.e., the implementation of a fundamental concept within the framework of dynamic capabilities theory, which allows companies to quickly and effectively adjust their strategies and operations during a crisis.

Keywords

information technologies, information systems, retail trade, linear regression.

JEL classification:L810; L860;DOI: https://doi.org/10.32680/2409-9260-2024-11-324-55-61

UD classification:519.71:339.372.8

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