Model of business processes of delivery of goods during martial law

User Rating:  / 4
PoorBest 

Authors:


V.Voynilovych, orcid.org/0000-0001-6365-3744, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; LLC SK Fashion, Kyiv, Ukraine

L.Lukashova, orcid.org/0000-0002-1105-4675, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.Parkhaieva, orcid.org/0000-0002-9834-501X, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.Kotova, orcid.org/0000-0001-6684-1177, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Nechyporuk, orcid.org/0000-0003-4392-7220, State University of Trade and Economics, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (5): 179 - 184

https://doi.org/10.33271/nvngu/2022-5/179



Abstract:



Purpose.
To analyze the difference in the business-processes of the goods delivery during martial law and to develop an optimization model of the business processes of the supply of goods in these conditions.


Methodology.
The methods used are: system analysis to establish the fact that the main risk of supplying goods under martial law is the integral operational risk; content analysis for detailed impact of operational risk; comparative analysis to establish the fact that the risk can provoke crisis in the supply chain in the conditions of war; abstracting to establish the fact that there is significant probability of the formation of domino effect in related areas of activity; inductions and deductions regarding the importance of setting the rate of risk for forecasting and planning of business processes; analysis and synthesis to develop a model algorithm; mathematical formalization for the formation of a program trigger for matching the rate of risk change and the rate of the business cycle.


Findings.
It is proven that the influence of risk in dynamic conditions can have a character of domino effect both in the main and in adjacent areas of activity. Therefore, it is important not only to quantify the risk, but also to determine its rate of change. Inadequate adaptability of enterprise management to external conditions is established. It is indicated that the reliability of goods supply is the main criterion of efficiency in the conditions of martial law.


Originality.
An optimization model of the business processes of the goods supply in the conditions of martial law is developed. An indicator for changing the forms and methods of work while comparing the rate of change in risk and the rate of the business cycle is proposed.


Practical value
. The proposed model of business processes for the supply of goods under martial law conditions and an indicator of the comparison of the rate of risk change and the rate of the business cycle can be widely used by scientists and practitioners.



Keywords:
model, business process, supply of goods, military status

References.


1. Shu-Hsien, L., & Widowati, R. (2021). A Supply Chain Management Study: A Review of Theoretical Models from 2014 to 2019. Operations and Supply Chain Management, 14(2), 173-188. https://doi.org/10.31387/oscm0450295.

2. Yalcin, H., Shi, W., & Rahman, Z. (2020). A review and scientometric analysis of supply chain management (SCM). Operations and Supply Chain Management, 13(2), 123-133. https://doi.org/10.31387/oscm0410257.

3. Chukurna, .., Nitsenko, V.S., Hanzhurenko, I.V., & Honcharuk, N.R. (2019). Directions of Innovative Development of Transport Logistics in Ukraine. Economic Innovations, 21/1(70), 170-181. https://doi.org/10.31520/ei.2019.21.1(70).170-181.

4. Wang, M., Jie, F., & Abareshi, A. (2018). Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry. Operations and Supply Chain Management, 11(1), 45-54. https://doi.org/10.31387/oscm0300200.

5. Bazaluk, O., Kotenko, S., & Nitsenko, V. (2021). Entropy as an Objective Function of Optimization Multimodal Transportations. Entropy, 23(8), 946. https://doi.org/10.3390/e23080946.

6. Ledwoch, A., Yasarcan, H., & Brintrup, A. (2018). The moderating impact of supply network topology on the effectiveness of risk management. International Journal of Production Economics, 197, 13-26. https://doi.org/10.1016/j.ijpe.2017.12.013.

7. Shou, Y., Hu, W., Kang, M., Li, Y., & Park, Y.W. (2018). Risk management and firm performance: the moderating role of supplier integration. Industrial Management & Data Systems, 118(7), 1327-1344. https://doi.org/10.1108/IMDS-09-2017-0427.

8. Levi-Bliech, M., Naveh, G., Pliskin, N., & Fink, L. (2018). Mobile Technology and Business Process Performance: The Mediating Role of Collaborative SupplyChain Capabilities. Information Systems Management, 35(4), 308-329. https://doi.org/10.1080/10580530.2018.1503803.

9. Song, M.X., & Morgan, X.Y. (2019). Leveraging core capabilities and environmental dynamism for food traceability and firm performance in a food supply chain: A moderated mediation model. Journal of Integrative Agriculture, 18(8), 1820-1837. https://doi.org/10.1016/S2095-3119(19)62590-6.

10. Yang, D., Sheng, S., Wu, S., & Zhou, Z. (2018). Suppressing partner opportunism in emerging markets: Contextualizing institutional forces in supply chain management. Journal of Business Research, 90, 1-13. https://doi.org/10.1016/j.jbusres.2018.04.037.

11. Zhang, Q., & Cao, M. (2018). Exploring antecedents of supply chain collaboration: Effects of culture and interorganizational system appropriation. International Journal of Production Economics, 195, 146-157. https://doi.org/10.1016/j.ijpe.2017.10.014.

12. Chang, H.H., Wong, K.H., & Chiu, W.S. (2019). The effects of business systems leveraging on supply chain performance: Process innovation and uncertainty as moderators. Information & Management, 56(6), 103140. https://doi.org/10.1016/j.im.2019.01.002.

13. Hryhorak, M., & Shevchuk, L. (2021). Efficiency of lean management application in business processes management of refrigeration equipment supply chain during the COVID crisis. The electronic scientifically and practical journal Intellectualization of logistics and supply chain management, 5, 40-52. https://doi.org/10.46783/smart-scm/2021-5-3.

14. Widarti, W., Desfitrina, D., & Zulfadhli, Z. (2020). Business Process Life Cycle Affects Company Financial Performance: Micro, Small, and Medium Business Enterprises During the Covid-19 Period. International Journal of Economics and Financial Issues, 10(5), 211-219. https://doi.org/10.32479/ijefi.10516.

15. Ruta, M. (2022). How the war in Ukraine is reshaping world trade an investment. Lets Talk Development. World Bank Blogs. Retrieved from: https://blogs.worldbank.org/developmenttalk/how-war-ukraine-reshaping-world-trade-and-investment.

16. Hlavata, J., & Libetin, J. (2021). The Use of the Art of War Ideas in the Strategic Decision-making of the Company. Transportation Research Procedia, 55, 1273-1280. https://doi.org/10.1016/j.trpro.2021.07.110.

17. Wolniak, R. (2020). Main functions of operation management. Production engineering archives, 26(1), 11-14. https://doi.org/10.30657/pea.2020.26.03.

18. Johnston, D. (2021). Building a Stronger Supply Chain: Lessons from the Crisis. Entrepreneur & Innovation Exchange. https://doi.org/10.32617/712-6182ac09b381d.

19. Bilousova, N. (2022). Russian aggression in Ukraine: consequences for the pharmacy business and prospects for its recovery. Research Gatepreprint. https://doi.org/10.13140/RG.2.2.28504.57609.

20. Piliaiev, I. (2021). The East-West Dichotomy in the Globalizing Perspective. Ukrainian Policymaker, 9, 86-92. https://doi.org/10.29202/up/9/8.

 

Visitors

6227323
Today
This Month
All days
1155
54000
6227323

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

Contacts

D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (056) 746 32 79.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home Authors and readers journal headlines EngCat Archive 2022 Content №5 2022 Model of business processes of delivery of goods during martial law