Modeling of the information system for agribusiness management entities

Alexander Sumets, Nelli Heorhiadi, Yuriy Tyrkalo, Roksolana Vilhutska and Iov Pylypenko

Agricultural and Resource Economics: International Scientific E-Journal, 2023, vol. 9, issue 2

Abstract: Purpose. The purpose of the research is to formulate recommendations for modeling the information support system of agribusiness management entities, which is characterized by correctness, adequacy and high quality of input, processing and monitoring of data necessary for agribusiness management entities to make and implement rational management decisions. To achieve this goal, the possibilities of applying methodological and applied tools are analyzed in order to avoid data distortions in the system of information support of agribusiness management entities and to identify the needs of operational adjustment of business decisions. An economic justification of the optimal direction of resource flows by types of economic activity of agribusiness was carried out. The sequence of performing managerial and analytical operations during the processing of information characterizing the choice of the best of alternatives regarding the planning of resource flows and flows of finished products is specified. The components of the model of the information support system of agribusiness management entities are identified. Methodology / approach. The method of interference-resistant coding of management data was applied to avoid data distortions in the information support system of agribusiness management subjects. The control chart method was used to identify the need for prompt adjustment of business decisions. Binary relations and Saati’s methodology are applied for the economic justification of the optimal direction of resource flows by types of economic activity and the processing of information characterizing the choice of the best of the alternatives regarding the planning of resource flows and flows of finished products. The method of abstraction and the process-structural scientific-methodical approach were used to isolate the components of the model of the information support system of the entities of agribusiness management. Results. It is argued that combination of Hemming’s method of interference-resistant coding of management data with the method of control charts makes it possible to avoid data distortions in the system of information support of agribusiness management entities and allows timely identification of the needs for prompt adjustment of business decisions. The method of identifying vectors of optimal direction of resource flows by agribusiness according to the types of their economic activity is substantiated. It is advisable to use this method also for processing information that characterizes the choice of the best of the alternatives regarding the planning of resource flows and flows of finished products. The structure of the model of the system of information support of agribusiness management subjects and the nature of the connections between the components of the model are specified. Originality / scientific novelty. Recommendations for modeling the system of information support of agribusiness management subjects have been developed, which are based on the application of a process-structural methodical approach and a set of methodical tools. This makes it possible to avoid data distortions in the system of information support of agribusiness management entities and allows timely identification of the needs for operational adjustment of business decisions. Practical value / implications. The practical value of applying the developed recommendations for modeling the information support system is to obtain additional opportunities for subjects of agribusiness management. These include: optimization of management processes, in particular to identify vectors of direction of resource flows by types of their economic activity; implementation of a reasoned choice of the best of the alternatives regarding the planning of resource flows and flows of finished products.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ags:areint:337435

DOI: 10.22004/ag.econ.337435

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