INFORMATION AND ANALYTICAL SUPPORT FOR QUALITY MANAGEMENT IN AGRICULTURAL ENTERPRISES
Abstract
Introduction. In modern conditions of development of the agricultural sector, product quality management acquires a complex character and goes beyond the traditional control of production indicators. Intensification of competition in agricultural markets, growing consumer demands for safety and traceability of products, as well as adaptation to European standards lead to an increase in the role of information and analytical support in the quality management system.
Methods. The article uses general scientific methods of analysis and synthesis to generalize theoretical approaches to the formation of information and analytical support for quality management in agricultural enterprises. System and process approaches are used to study the relationships between the elements of the quality management system and the information flows that provide it. Comparative and economic and statistical methods are used to evaluate the practice of using information and analytical tools and justify management conclusions.
Results. The research substantiates the determining role of information and analytical support as a system-forming element of quality management in agricultural enterprises. The feasibility of integrating internal and external sources of information and combining traditional and digital analytical tools to increase the stability of product quality characteristics and reduce production and market risks is proven. The importance of developing human capital and analytical competencies of personnel as a key prerequisite for the effective functioning of information and analytical quality management systems is determined. The role of state support for digitalization and the creation of unified information platforms in strengthening the competitiveness of agricultural enterprises and the industry as a whole is substantiated.
Discussion. Prospects for further research are related to the development of integrated information and analytical models of quality management, adapted to the specifics of agricultural production and the requirements of sustainable development. The current direction is the deepening of the use of digital technologies, automated monitoring systems and data analytics to improve the effectiveness of product and process quality management. Further scientific research should be directed at assessing the impact of information and analytical support on the competitiveness of agricultural enterprises in the context of European integration.
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DOI: https://doi.org/10.35774/ibo2025.03-04.041
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