Modelling the efficiency of technological management of agricultural enterprises in economic security
DOI:
https://doi.org/10.51599/are.2025.11.01.10Keywords:
technological management, agribusiness, economic security, risks, innovations, adaptation, strategic planning.Abstract
Purpose. The purpose of this study is to develop a model for assessing the efficiency of technological management of agricultural enterprises in the context of ensuring economic security. The study also focuses on the analysis of key factors affecting the efficiency of technological processes, and on the development of tools for improving management technologies in the context of modern economic challenges and risks.
Methodology / approach. The study applied a comprehensive approach to modelling the efficiency of technological management at agricultural enterprises. The main tool of analysis was quantitative methods, in particular economic and mathematical modelling, which allowed to assess the impact of various factors on the efficiency of management decisions. Data on financial, economic, technological and production activities of agricultural enterprises were used to build the models. The approach, based on the integration of the methods used, allows not only to assess the current state of technological management, but also to predict possible development scenarios in conditions of economic instability.
Results. Modelling of the state of efficiency of technological management in the system of economic security of agricultural enterprises of Poltava, Kyiv and Sumy regions for 2014–2023 was carried out. It was established that agricultural enterprises of Poltava region show consistently high scores, which indicates a strong technical-and-technological potential and the implementation of innovative solutions. Agricultural enterprises of Kyiv region demonstrate a gradual increase in the efficiency of technological management, although their indicators still remain lower than those of enterprises of the Poltava region. Agricultural enterprises of Sumy region have the lowest scores, which indicates serious problems in technical-and-technological development, probably due to an insufficient level of investment. In general, it is necessary to improve the technological management of agricultural enterprises, especially in Kyiv and Sumy regions, in order to ensure stable development of enterprises in the long term.
Originality / scientific novelty. The novelty lies in the original authors’ comprehensive modelling of the efficiency of technological management of agricultural enterprises through an integrated assessment, which includes technical and technological, production, innovation and management indicators. The originality of the methodology lies in the application of the principal component method to determine weighting factors, which allows identifying key factors that affect technological management and economic security. Taking into account stimulators and destimulators when analysing the development of enterprises allows for accurate diagnostics and developing effective strategies for improving management.
Practical value / implications. The results can be used in the activities of agricultural enterprises to optimise the processes of making management decisions. The proposed methodology also facilitates the analysis of large volumes of data and increases the accuracy of forecasts, which has a direct impact on strategic planning and competitiveness of the enterprise.
References
Abbate, S., Centobelli, P., & Cerchione, R. (2023). The digital and sustainable transition of the agri-food sector. Technological Forecasting and Social Change, 187, 122222. https://doi.org/10.1016/j.techfore.2022.122222.
Balanovska, T. I., Gogulya, O. P., Troian, A. V., & Yazlyuk, B. O. (2020). Profitability analysis of digitalization of precision farming. International Journal of Advanced Science and Technology, 29(6s), 1030–1036. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/9165.
Cherep, A. V., Cherep, O. G., & Ogrenich, Yu. O. (2022). Improving the scientific and methodical approach to assessing the impact of factors on the use of the mechanism for forming a strategy for anti-crisis management of operational activities of industrial enterprises in crisis conditions. Financial and Credit Activity Problems of Theory and Practice, 1(42), 134–144. https://doi.org/10.55643/fcaptp.1.42.2022.3681.
Cherep, A. V., & Shvets, Yu. O. (2020). Development of an approach to assessing the influx of internal factors into the secondary mechanism of forming an anti-crisis management strategy for the operational activities of industrial enterprises. Black Sea Economic Studies, 50-2, 162–166. https://doi.org/10.32843/bses.50-66.
Corallo, A., De Giovanni, M., Latino, M. E., & Menegoli, M. (2024). Leveraging on technology and sustainability to innovate the supply chain: a proposal of agri-food value chain model. Supply Chain Management: An International Journal, 29(3), 661–683. https://doi.org/10.1108/SCM-12-2022-0484.
Di Vaio, A., Boccia, F., Landriani, L., & Palladino, R. (2020). Artificial intelligence in the agri-food system: rethinking sustainable business models in the COVID-19 scenario. Sustainability, 12(12), 4851. https://doi.org/10.3390/su12124851.
Furman, D., Shchokin, R., Kubitskyi, S., Chaplinskyi, V., Strochenko, N., & Dorosh, I. (2023). Motivation and incentives for employees of domestic enterprises. Journal of Law and Sustainable Development, 11(3), e815. https://doi.org/10.55908/sdgs.v11i3.815.
Gudz, O., Prokopenko, N., Korsakov, D., & Solovei, N. (2020). Insurance and innovative technologies of risks management of Ukrainian companies in the digital economy. Studies of Applied Economics, 38(4). https://doi.org/10.25115/eea.v38i4.3996.
Gutorov, O. I., & Gutorova, O. O. (2013). Theoretical and methodical basis of management efficiency estimation. Bulletin of the KhNAU. Series: Economic Sciences, 5, 38–47. Available at: http://nbuv.gov.ua/UJRN/Vkhnau_ekon_2013_5_8.
Hamidoğlu, A. (2024). A game-theoretical approach on the construction of a novel agri-food supply chain model supported by the government. Expert Systems with Applications, 237(A), 121353. https://doi.org/10.1016/j.eswa.2023.121353.
Khodakivska, O., Kobets, S., Bachkir, I., Martynova, L., Klochan, V., Klochan, I., & Hnatenko, I. (2022). Sustainable development of regions: modeling the management of economic security of innovative entrepreneurship. International Journal of Advanced and Applied Sciences, 9(3), 31–38. https://doi.org/10.21833/ijaas.2022.03.004.
Kopishynska, O., Utkin, Y., Sliusar, I., Galych, O., Kovpak, S., Liashenko, V., & Barabolia, O. (2024). Comprehensive management of agroecosystem productivity on the platform of specialized farm management information systems. Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI. Available at: https://www.iiis.org/CDs2024/CD2024Summer/papers/SA421NY.pdf.
Krstić, M., Agnusdei, G. P., Miglietta, P. P., & Tadić, S. (2022). Logistics 4.0 toward circular economy in the agri-food sector. Sustainable Futures, 4, 100097. https://doi.org/10.1016/j.sftr.2022.100097.
Kushniruk, V., Kulinich, T., Roik, O., & Lushchyk, M. (2021). Sustainable development: strengthening of food security in EU countries. Scientific Horizons, 24(11), 85–91. https://doi.org/10.48077/scihor.24(11).2021.85-91.
Kyryliuk, I., Kyryliuk, Y., Proshchalykina, A., Zos-Kior, М., & Dovbush, V. (2021). Organisational and economic drivers for safety provision and quality upgrading of core livestock products in Ukraine. Journal of Hygienic Engineering and Design, 36, 49–66. Available at: https://keypublishing.org/jhed/wp-content/uploads/2021/11/4.-JHED-Volume-36-FQS-Abstract-Iryna-Kyryliuk.pdf.
Lezoche, M., Hernandez, J. E., del Mar Eva Alemany Díaz, M., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture. Computers in Industry, 117, 103187. https://doi.org/10.1016/j.compind.2020.103187.
Markina, I., Diachkov, D., Bodnarchuk, T., Paschenko, P., & Chernikova, N. (2022). Management of resource-saving and energy-saving technologies as an innovative direction of agri-food enterprise restructuring. International Journal of Innovation and Technology Management, 19(2), 2150047. https://doi.org/10.1142/s0219877021500474.
Markina, I., Somych, N., Taran-Lala, O., Varaksina, E., Potapiuk, I., & Vovk, M. (2022). Managerial Aspects of forming enterprises’ competitive advantages: the case of agri-food sector. Journal on Food System Dynamics, 13(1), 56–68. ttps://doi.org/10.18461/ijfsd.v13i1.A5.
Miranda, B. V., Monteiro, G. F. A., & Rodrigues, V. P. (2021). Circular agri-food systems: a governance perspective for the analysis of sustainable agri-food value chains. Technological Forecasting and Social Change, 170, 120878. https://doi.org/10.1016/j.techfore.2021.120878.
Official website of the State Statistics Service of Ukraine (2024). Agriculture of Ukraine for 2022. Available at: https://www.ukrstat.gov.ua/druk/publicat/kat_u/2023/zb/09/S_gos_22.pdf.
Onegina, V., Kucher, L., Kucher, A., Krupin, V., Kłodziński, M., & Logos, V. (2025). Unlocking innovation capacity: strategies for micro-, small, and medium enterprises in Ukrainian agriculture. Agriculture, 15(1), 65. https://doi.org/10.3390/agriculture15010065.
Pilyavoz, T. M., & Glushchenko, L. D. (2018). Methodical approach to assessing the results of innovative development of an industrial enterprise. Efektyvna ekonomika, 6. Available at: http://www.economy.nayka.com.ua/pdf/6_2018/42.pdf.
Pyla, V. I., Arzyantseva, D. A., & Zakharkevich, N. P. (2016). Methodical approaches to assessing the effectiveness of enterprise management. Economics, management, law: сhallenges and рrospects: collection of scientific articles. Discovery Publishing House Pvt. Ltd. Available at: https://www.researchgate.net/publication/327824254.
Pysarenko, V., Ponochovna, O., Bahorka, M., & Voronyansky, V. (2020). Data-centric formation of marketing logistic business model of vegetable market due to zonal specialization. In D. Ageyev, T. Radivilova, N. Kryvinska (Eds.), Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies (pp. 23–49), vol. 42. Springer, Cham. https://doi.org/10.1007/978-3-030-35649-1_2.
Rayets, M., Tkachuk, V., Buryk, M., Kubitskyi, S., & Zhaldak, H. (2023). The role of leadership in stimulating innovation and the creative potential of the team. Economic Affairs, 68(03), 1601–1610. https://doi.org/10.46852/0424-2513.3.2023.26.
Saurabh, S., & Dey, K. (2021). Blockchain technology adoption, architecture, and sustainable agri-food supply chains. Journal of Cleaner Production, 284, 124731. https://doi.org/10.1016/j.jclepro.2020.124731.
Tell, J., Hoveskog, M., Ulvenblad, P., Ulvenblad, P. O., Barth, H., & Ståhl, J. (2016). Business model innovation in the agri-food sector: a literature review. British Food Journal, 118(6), 1462–1476. https://doi.org/10.1108/BFJ-08-2015-0293.
Vashchenko, P. А., Zhukorskyi, О. М., Saenko, A. M., Khokhlov, A. M., Usenko, S. O., Kryhina, N. V., Sukhno, T. V., & Tsereniuk, О. М. (2023). The influence of feeding level on the growth of pigs depending on their genotype. Regulatory Mechanisms in Biosystems, 14(1), 112–117. https://doi.org/10.15421/022317.
Vovk, M. O. (2023). Technological management in the context of ensuring the economic security of agri-food enterprises (PhD Thesis). Poltava, Poltava State Agrarian University. Available at: https://dspace.pdau.edu.ua/server/api/core/bitstreams/62a1a299-9e9e-4bba-be45-dc919cf901d5/content.
Vovk, M., Lopushynska, O., & Oliynyk, A. (2022). Assessment of the level of production potential of agri-food enterprises. In D. Diachkov (Ed.), Security Management of the XXI Century: National and Geopolitical Aspects (pp. 224–228). Is. 4. Prague, Nemoros s.r.o. Available at: https://www.pdau.edu.ua/sites/default/files/academicdepartment/kafedra-menedzhmentu-im-ia-markinoyi/mono2022februarypislyaperevirky3compressed.pdf.
Yevseitseva, O., Liulchak, Z., Semenda, O., Järvis, M., & Ponomarenko, I. V. (2022). Digital-marketing as a modern tool for promotion of goods and services in social networks. Financial and Credit Activity Problems of Theory and Practice, 1(42), 361–370. https://er.knutd.edu.ua/handle/123456789/20584.
Yontar, E. (2023). Critical success factor analysis of blockchain technology in agri-food supply chain management: a circular economy perspective. Journal of Environmental Management, 330, 117173. https://doi.org/10.1016/j.jenvman.2022.117173.
Zhao, G., Liu, S., Lopez, C., Chen, H., Lu, H., Mangla, S. K., & Elgueta, S. (2020). Risk analysis of the agri-food supply chain: a multi-method approach. International Journal of Production Research, 58(16), 4851–4876. https://doi.org/10.1080/00207543.2020.1725684.
Zoria, O., Yasnolob, I., Galych, O., Cherchatyi, O., Tiutiunnyk, Y., Tiutiunnyk, S., Dugar, T., … & Mokiienko, T. (2022). Theoretical and methodological principles of investment support for innovation-oriented development of agrarian production. Journal of Environmental Management & Tourism, 13(3), 695–706. https://doi.org/10.14505/jemt.v13.3(59).10.
Zos-Kior, М., Kuksa, I., Samoilyk, I., & Storoška, M. (2017). Methodology for assessing globalisation development of countries. Economic Annals-XXI, 11–12, 4–8. https://doi.org/10.21003/ea.V168-01.