Network Modelling of Assessing the Impact of Threats to the Economic Security of Logistics Operators


Abstract

Introduction. The increasing crisis phenomena affecting modern business structures and risks for the economic security of logistics organisations determine the relevance of their research. It is crucial to determine changes in the conceptual and categorical structure of enterprises’ economic security and threats to the economic security of logistics entities in an unstable financial situation. Activity-on-node (AoN) modelling was used as an analytical tool for developing project measures, allowing for effective planning of implementing activities to improve logistics organisations’ economic security.

Aim and tasks. This study aims to extend the presentation of the methodology related to the triple model of logistics actors (purpose-resources-time), which includes five stages of threat indicators in the context of ranking.

Results. Key factors influencing the economic security of a logistics entity have been identified, enabling the accumulation of resources in critical operational areas. This is achieved by prioritising economic security measures based on a quantitative (scoring) assessment of threat levels and the probability of their occurrence. According to experts, potential threats to the economic security of the Fozzy Group LLC (Ukraine) were identified to predict the corresponding threats based on their possible characteristics. The implemented measures to prevent potential threats to logistics activities showed an increase in the average comparable indicators by 21% (2022). The following trends in the probability of threat occurrence to the economic security of a logistics entity are identified: an increase in the percentage values of the indicators, specifically «very high» (6.0%), «high» (2.7%), «medium» (3.0%), «low» (2.0%), and «very low» (1.0%). The fingdings indicate the effectiveness of implementing measures to improve security, particularly regarding economic effects. The proposed approach for assessing threats to economic security in logistics activities prioritises and implements the most significant measures to strengthen security through a quantitative (scoring) assessment and using a network model (AoN) with plane representation.

Conclusions. It is emphasised that the main aspects of this article will allow domestic business structures to apply this network modelling approach, predict threats to economic security, and develop practical strategies for strengthening the security component in the context of modern challenges. These findings provide a promising fundamental basis for enhancing the economic security of logistics entities in the context of network modelling.

Keywords:

logistics, threats, economic security, network modelling, AoN-type model.

References

Bielecki, M. (2023). Logistics 4.0: Challenges, opportunities and threats. Tehnički Glasnik, 17(3), 455–461. https://doi.org/10.31803/tg-20230505142802
Cempírek, V., Nachtigall, P., & Široký, J. (2016). Security in logistics. Open Engineering, 6(1). https://doi.org/10.1515/eng-2016-0082
Coppola, A., Maggiori, M., Neiman, B., & Schreger, J. (2021). Redrawing the map of global capital flows: The role of cross-border financing and tax havens. The Quarterly Journal of Economics, 136(3), 1499–1556. https://doi.org/10.1093/qje/qjab014
Diunova, T.V. (2020). Economic security management of enterprises: Systems, mechanisms, tools. Kharkiv: Striped Typography.
Dluhopolskyi, O., Kozlovskyi, S., Popovskyi, Y., Mazur, H., & Kozlovskyi, A. (2023). Formation of the model of sustainable economic development of renewable energy. Innovative and Economics Research Journal, 11(2), 51–78. https://doi.org/10.2478/eoik-2023-0050
Franco Seguí, J., & Alsina, Á. (2024). Specialized knowledge of in-service primary education teachers to teach probability: Implications for continuous education. International Electronic Journal of Mathematics Education, 19(4), em0792. https://doi.org/10.29333/iejme/15153
Google Trends. (2024). Interest over time for Fozzy Group. Google. https://trends.google.com/trends/explore?date=all&geo=UA&q=%2Fm%2F0nhjgbn&hl=en
Hevko, V., Sharko, V., Radchenko, O., Budiaiev, M., & Tarasenko, O. (2021). Cloud technologies in business management. Financial and Credit Activity: Problems of Theory and Practice, 4(39), 294-301. https://doi.org/10.18371/.v4i39.241318
Hoque, M. E., Billah, M., & Alam, M. R. (2024). Does news related to digital economy and central bank digital currency affect digital economy ETFs? Evidence from TVP-VAR connectedness and wavelet local multiple correlation analyses. Global Finance Journal, 100992. https://doi.org/10.1016/j.gfj.2024.100992
Kalender, Z. T., & Žilka, M. (2024). A comparative analysis of digital maturity models to determine future steps in the way of digital transformation. Procedia Computer Science, 232, 903–912. https://doi.org/10.1016/j.procs.2024.01.090
Kolodiazhna, I.V., & Bukrina, K. A. (2019). Economic security in the system of sustainable functioning of the enterprise. Scientific Bulletin of the Uzhhorod National University, 23(1), 135-140.
Nazarova, H., Kashchena, N., Nesterenko, I., Kovalevska, N., & Kashperska, A. (2022). Theoretical and methodological aspects of improving the functioning of the accounting system. Revista Amazonia Investiga, 11(54), 243–255. https://doi.org/10.34069/ai/2022.54.06.23
Nguyen, T. H., Van Nguyen, B., Nguyen, T. T., & Luu, D. H. (2024). Productivity unleashed: An ARDL model analysis of innovation and globalization effects. Journal of Infrastructure Policy and Development, 8(8), 5694. https://doi.org/10.24294/jipd.v8i8.5694
Parhi, S., Joshi, K., Gunasekaran, A., & Sethuraman, K. (2022). Reflecting on an empirical study of the digitalization initiatives for sustainability on logistics: The concept of sustainable logistics 4.0. Cleaner Logistics and Supply Chain, 4(100058), 100058. https://doi.org/10.1016/j.clscn.2022.100058
Penev, N., Shyriaieva, L., Legeza, D., Merkulov, M., & Honcharova, I. (2024). Marketing analysis of multimodal transportation dynamics in logistics infrastructure. E3S Web of Conferences, 558, 01030. https://doi.org/10.1051/e3sconf/202455801030
Skowron, Ł., Manzhula, V., Sak-Skowron, M., & Wołowiec, T. (2022). Towards climate management of district heating enterprises' innovative resources. Energies, 15(21), 7841. https://doi.org/10.3390/en15217841
Sun, X., Kuo, Y.-H., Xue, W., & Li, Y. (2024). Technology-driven logistics and supply chain management for societal impacts. Transportation Research Part E: Logistics and Transportation Review, 185(103523), 103523. https://doi.org/10.1016/j.tre.2024.103523
Teremetskyi, V., Kovalchuk, O., Kolesnikov, A., Korniienko, M., & Dir, I. (2024). Improving the information and legal support of the judicial system of Ukraine: Experience of the European Court of Human Rights. Journal of Ecohumanism, 3(3), 61–74. https://doi.org/10.62754/joe.v3i3.3349
Vale, I., & Barbosa, A. (2024). Exploring the creative potential of mathematical tasks in teacher education. International Electronic Journal of Mathematics Education, 19(4), em0790. https://doi.org/10.29333/iejme/15075
Vivchar, O. (2016). Management system interpreting financial and economic security business in economic processes. International Electronic Journal of Mathematics Education, 11(4), 947–959.
Wołowiec, T., & Gliszczyński, G. (2022). Smart transition to climate management of the green energy transmission chain. Sustainability, 14(18), 11449. https://doi.org/10.3390/su141811449
Zadorozhnyi, Z.-M., Muravskyi, V., & Pochynok, N. (2022). Transformation of accounting methods with the use of robotic equipment with artificial intelligence proceedings. International Conference on Advanced Computer Information Technologies (ACIT), 285–289. https://doi.org/10.1109/ACIT54803.2022.9912753
Zadorozhnyy, Z.-M., Muravskyi, V., Semaniuk, V., & Gumenna-Derij, M. (2022). Global management accounting principles in the system of providing resource potential of the enterprise. Financial and Credit Activity: Problems of Theory and Practice, 3(44), 63–71. https://doi.org/10.55643/fcaptp.3.44.2022.3765
Published
2024-12-30
How to Cite
(1)
Vivchar, O.; Tyukhtenko, N.; Mykhailyshyn, L.; Korovchuk, Y. Network Modelling of Assessing the Impact of Threats to the Economic Security of Logistics Operators. Economics Ecology Socium 2024, 8, 89-98.