{"id":18252,"date":"2023-03-29T12:44:17","date_gmt":"2023-03-29T09:44:17","guid":{"rendered":"https:\/\/modecon.mnau.edu.ua\/?p=18252"},"modified":"2023-03-29T12:44:17","modified_gmt":"2023-03-29T09:44:17","slug":"risk-analysis-of-supply-chains","status":"publish","type":"post","link":"https:\/\/modecon.mnau.edu.ua\/en\/risk-analysis-of-supply-chains\/","title":{"rendered":"Usykova O. Risk analysis of supply chains at an enterprise"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]<\/p>\n\n\n\n
JEL Classification<\/strong>: \u041c20<\/em>
\n<\/span><\/td>\n		DOI<\/b>: https:\/\/doi.org\/10.31521\/modecon.V37(2023)-14<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][vc_column_text]Usykova<\/strong> Olena, <\/strong>doctor of economics, associate professor, acting Director of the Educational Scientific Institute of Business and Innovative Development, Mykolaiv National Agrarian University, Mykolaiv, Ukraine<\/p>\n

ORCID ID:<\/strong> 0000-0001-6734-5757<\/a>
\ne-mail: <\/strong>usykova@mnau.edu.ua<\/a><\/p>\n

<\/h2>\n

Risk Analysis of Supply Chains at an Enterprise<\/strong><\/h2>\n

\u00a0\u00a0<\/strong><\/p>\n

Abstract. Introduction<\/strong>. The article investigates the issues of the methodology for assessing the impact of external and internal risks on supply chains. The interrelation between the probability of occurrence of a hazardous event and its impact on supply chains is examined. The principal research method is the use of risk maps on the basis of matrix modeling.<\/p>\n

Purpose.<\/strong> The purpose of the article is to reveal modern approaches towards the methodology of supply chain risk analysis at an enterprise.<\/p>\n

Results.<\/strong> It has been stated that key risk factors can be controlled through risk monitoring. External and internal risks that may cause shocks and disruptions to the supply chain have been analyzed. It has been determined that the presented approach to risk assessment complements the methodology for risk assessment and monitoring. It has been established that supply chains are exposed to elevated risk, which can be controlled through the use of the risk matrix procedures. It has been proven that the critical risk areas within supply chains are external crises, environmental uncertainty, supply chains relations and production, while the most hazardous risks within supply chains are associated with external conditions beyond the control of supply chain participants.<\/p>\n

Conclusions.<\/strong>The growing impact of risk on the activity of the enterprise emphasizes the importance of processes that are intended to reduce the probability of supply chain risk. The presented study attracts attention to the process of risk monitoring, which, if neglected, contributes to the catastrophic consequences of the supply chain collapse. Summing up, it is possible to draw the following conclusions.<\/p>\n

    \n
  1. Supply chains are being exposed to high risk, which can be controlled through risk matrix procedures.<\/li>\n
  2. The conducted analysis has demonstrated that the critical risk areas in supply chains are external crises, environmental uncertainty, supply chain relations and production.<\/li>\n
  3. The most hazardous risks in supply chains are associated with external conditions that are beyond the control of supply chain participants.<\/li>\n
  4. Awareness of a risk and the possibility of classifying it on a risk matrix is a considerable aid to a simpler threat assessment, which may prove useful in practice.<\/li>\n<\/ol>\n

    Keywords:<\/strong> supply chain; risk; matrix modeling, map, management.<\/p>\n

    References:<\/strong><\/p>\n

      \n
    1. Abrudan, D. B., Daianu, D. C., Maticiuc, M. D., Rafi, N., & Nawaz,\u00a0K. M. (2022). Strategic leadership, environmental uncertainty, and supply chain risk: An empirical investigation of the agribusiness industry. Agricultural Economics\u2013Czech,<\/em> 68, 171-179. doi: https:\/\/doi.org\/10.17221\/55\/2022-AGRICECON [in English].<\/li>\n
    2. Blome, C., Schleper, M. C., & Roscoe, S. Managing the \u201cnew normal\u201d : The future of operations and supply chain management in unprecedented times. (2022). International Journal of Operations & Production Management<\/em>. 42, 1061-176. doi: https:\/\/doi.org\/10.1108\/IJOPM-06-2022-0367 [in English].<\/li>\n
    3. Bugra, A., Vera, D. A., Ahmad, M., Ahmad, B., & Harrison, R. (2018). Complexity in manufacturing systems and its measures: A literature review. European Journal Industrial Engineering<\/em>, 12(1), 116-150. doi: https:\/\/doi.org\/10.1504\/EJIE.2018.089883 [in English].<\/li>\n
    4. Baryannis, G., Validi ,S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research,<\/em> 57(7), 2179-2202. doi: https:\/\/doi.org\/10.1080\/00207543.2018.1530476 [in English].<\/li>\n
    5. Fahimnia, B., Pournader, M., Siemsen, E., Bendoly, E., & Wang, C. (2019). Behavioral operations and supply chain management \u2013 a review and literature mapping. Decision Sciences<\/em>, 50(6), 1127-1183. doi: https:\/\/doi.org\/10.1111\/deci.12369 [in English].<\/li>\n
    6. Vishnu, C. R., Sridharan, R., Gunasekaran, A., & Ram Kumar, P. N. (2020). Strategic capabilities for managing risks in supply chains: current state and research futurities. Journal of Advances in Management Research, 17(2), 173-211. doi: https:\/\/doi.org\/10.1108\/JAMR-04-2019-0061 [in English].<\/li>\n
    7. Norrman, A., & Wieland, A. (2020). The development of supply chain risk management over time: revisiting Ericsson. International Journal of Physical Distribution & Logistics Management<\/em>, 50(6), 641-666. doi: https:\/\/doi.org\/10.1108\/IJPDLM-07-2019-0219 [in English].<\/li>\n
    8. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control<\/em>, 32(9), 775-788. doi: https:\/\/doi.org\/10.1080\/09537287.2020.1768450 [in English].<\/li>\n
    9. Wichmann, P., Brintrup, A., Baker, S., Woodall, P., & McFarlane, D. (2020). Extracting supply chain maps from news articles using deep neural networks. International Journal of Production Research<\/em>, 58(17), 5320-5336. doi: https:\/\/doi.org\/10.1080\/00207543.2020.1720925 [in English].<\/li>\n
    10. Xu, M., Cui, Y., Hu, M., Xu, X., Zhang, Z., Liang, S., & Qu, S. (2019). Supply chain sustainability risk and assessment. Journal of Cleaner Production, 225, 857-867. doi: https:\/\/doi.org\/10.1016\/j.jclepro.2019.03.307 [in English].<\/li>\n<\/ol>\n

      [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Received:<\/strong> 03 February 2023<\/p>\n

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      Usykova O. (2023). Risk analysis of supply chains at an enterprise. Modern Economics, 37(2023), 96-100. DOI: https:\/\/doi.org\/10.31521\/modecon.V37(2023)-14.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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      [vc_row][vc_column][vc_column_text] JEL Classification: \u041c20 DOI: https:\/\/doi.org\/10.31521\/modecon.V37(2023)-14 [\/vc_column_text][vc_column_text]Usykova Olena, doctor of economics, associate professor, acting Director of the Educational Scientific Institute of Business and Innovative Development, Mykolaiv National Agrarian University, Mykolaiv, Ukraine ORCID ID: 0000-0001-6734-5757 e-mail: usykova@mnau.edu.ua Risk Analysis of Supply Chains at an Enterprise \u00a0\u00a0 Abstract. Introduction. The article investigates the issues of the methodology
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