Assessing the efficiency of management information systems in agrarian companies
Abstract
The purpose of this study was to determine the effectiveness of implementing information systems in agricultural enterprises and their impact on optimising management processes and productivity. The main objectives were to analyse how digital technologies affect decision-making, reduce costs, increase productivity, and identify barriers to their integration. The methodology included an analysis of scientific publications, a political, economic, social, technological analysis, a comparative assessment of key performance indicators before and after the implementation of the systems, as well as a case study based on the experience of the Kazakh company “Atameken-Agro”. In particular, the analysis of publications allowed to identify trends and problems of digitalisation in the agricultural sector. The political, economic, social, technological analysis helped to assess the political, economic, social, and technological factors that influence the implementation of information systems. The results of the study confirmed that the implementation of information systems has a significant positive impact on the productivity and management of enterprises. In particular, at Atameken-Agro, digitalisation has reduced grain losses by 63%, reduced administrative costs by 15%, and increased the transparency and accuracy of management decisions. The AgroStream system has provided centralised access to real-time data, which has increased the efficiency of monitoring and planning. In addition, the introduction of automated processes has contributed to the optimisation of resource use and increased environmental responsibility. The study’s findings indicated that successful integration of information systems in agriculture requires a comprehensive approach, including adaptation to local conditions, government support, infrastructure expansion, and staff training
Keywords
digital transformation; technological infrastructure; agricultural enterprises; process optimisation; resource utilisation
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