DOI: https://doi.org/10.32515/2663-1636.2024.12(45).224-235

Ensuring the Economic Security of a Manufacturing Enterprise in the Digital Environment

Olena Khadzhynova, Ruslana Zhovnovach, Oleksandr Shchepka

About the Authors

Olena Khadzhynova, Professor, Doctor in Economics (Doctor of Economic Sciences), аcting administrator, SHEI «Pryazovskyi State Technical University», Dnipro, Ukraine, ORCID, https://orcid.org/0000-0002-7750-9791, e-mail: azsudcom@gmail.com

Ruslana Zhovnovach, Professor, Doctor in Economics (Doctor of Economic Sciences), Head of the Department of Economic Theory, Marketing and Economic Cybernetics, of the Department of Economic Theory, Marketing and Economic Cybernetics, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine, ORCID: https://orcid.org/0000-0001-6758-3421, e-mail: ruslanaz1977@gmail.com

Oleksandr Shchepka, Postgraduate (student of the third (educational and scientific) level of higher education), SHEI «Pryazovskyi State Technical University», ORCID: https://orcid.org/0009-0003-3616-6395, e-mail: shchepka_o_v@aspirants.pstu.edu

Abstract

The article is devoted to the study of the features of ensuring the economic security of a manufacturing enterprise in the digital environment. The study examines the tasks of economic security specialists in manufacturing enterprises under modern conditions, shaped by risks associated with competitive pressure, market instability, technological changes, increasing information risks, and growing cyber threats amid the digital transformation of business operations.The purpose of the publication is to establish a list and identify specific aspects and challenges related to ensuring the economic security of industrial enterprises in the digital economy environment, to develop effective approaches and tools to improve the stability and sustainability of enterprises. The publication is aimed at identifying the latest risks of the digital economy, including cyber threats, risks of digitalization of production processes, protection of intellectual property and commercial information; analysis of opportunities to ensure security through the implementation of digital technologies such as Blockchain, AI, IoT, and Big Data, which can increase the transparency and security of internal processes. The study addresses the assessment of the effectiveness of current economic security measures in the context of the digital transformation of manufacturing activities, identifying their strengths and weaknesses, and developing recommendations to enhance enterprises' adaptability to digital threats. Recommendations have been developed for the introduction of innovative approaches to building an economic security system, such as cyber strategy, Big Data analytics, and automated risk management. Supply chain management and the protection of confidential information are considered from the perspective of integrating comprehensive and adaptive security systems into economic security processes. These systems address modern challenges and ensure the resilience of enterprises in the face of rapid and extensive digital transformation. The author's position is substantiated regarding the directions of scientific research in the field of ensuring the economic security of enterprise in the digital economy, aimed at increasing the level of economic security of industrial enterprises and help them adapt to the challenges of the digital economy, where economic stability largely depends on the ability to quickly adapt, proactively respond to risks and integrate the latest digital solutions.

Keywords

economic security, supply chains, artificial intelligence, Big Data, blockchain, risks of activities in the digital environment

Full Text:

PDF

References

1. Versanova H., Ksenofontov D., & Savenchuk I. (2024). Mechanisms for increasing the level of economic security of enterprises. Visnyk Skhidnoievropeiskoho universytetu ekonomiky i menedzhmentu. 2 (32), 145-137. [in Ukrainian]. https://doi.org/10.58253/2078-1628-2024-2(32)-010.

2. Zhovnovach, R.I., Petlenko, T.G., & Orlova, A.A. (2024). Enterprise management technologies in the management system. Ukrainskyi zhurnal prykladnoi ekonomiky ta tekhniky, 1, 18-23. [in Ukrainian].https://doi.org/10.36887/2415-8453-2024-1-2.

3. Kravchenko M.S., Pogorelov V.M., & Budahian A.S. (2024). Digital supply chain management technologies and increasing the competitive potential of a manufacturing enterprise. Tsentralnoukrainskyi naukovyi visnyk. Ekonomichni nauky. 11(44)., 145-156. [in Ukrainian]. https://doi.org/10.32515/2663-1636.2024.11(44).145-156.

4. Khadzhinova O.V., Savenchuk I.S. & Khadzhinova M.S. (2024). Transformation of business processes of industrial enterprises in the context of digitalization. Tsentralnoukrainskyi naukovyi visnyk. Ekonomichni nauky. 11(44)., 126-137. [in Ukrainian]. https://doi.org/10.32515/2663-1636.2024.11(44).126-137.

5. Annosi, M.C., & Foss, N.J. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science, 167(1), 2200-2210. [In English]. https://doi.org/10.1016/j.procs.2020.03.272.

6. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A Survey. Computer Networks, 54, 15, 2787-2805. [In English]. https://doi.org/10.1016/j.comnet.2010.05.010.

7. Bath, J., & Winkler, K. (2023). Hybrid Work. Freiburg, München, Stuttgart: Haufe Group [In English].

8. Choi, T.-M., & Lambert, J.H. (2017). Advances in Risk Analysis with Big Data. Risk Analysis. 37(8), 1435-14442. [In English]. https://doi.org/10.1111/risa.12859.

9. Crouhy, M., Galai, D., & Mark, R. (2006). The Essentials of Risk Management. McGraw-Hill Professional [In English].

10. De Santis, F. (2024). Artificial Intelligence for Risk Management. Artificial Intelligence in Accounting and Auditing, 139-154. [In English]. https://doi.org/10.1007/978-3-031-71371-2_6 .

11. Erlhofer, S. (2023). Suchmaschinen Optimierung. Das umfassende Handbuch. Rheinwerk Verlag GmbH, Bonn. [In German].

12. Frame, J.D. (2003). Managing Risk in Organizations: A Guide for Manager. The Jossey-Bass business & management series. [In English].

13. Gershenfeld, N. (1999). When Things Start to Think. Henry Holt and Company [In English].

14. Husain, F., Husain, R., Hassan, S.A., Hossain, E. at al. (2020). Machine Learning in IoT Security: Current Solutions and Future Challenges. IEEE Communications Surveys & Tutorials, 22, 3, 1686-172. [In English].https://doi.org/10.1109/COMST.2020.2986444.

15. Lam, J. (2014). Enterprise Risk Management: From Incentives to Controls [In English]. https://doi.org/10.1002/9781118836477.

16. Malakhovskyi, Y., Gamaliy, V., Zhovnovach, R., Kulazhenko, V, & Cherednichenko, M. (2019). Assessment of the risks of entrepreneurship as a prerequisite for the implementation of innovation projects. Journal of Entrepreneurship Education, 22, 1S, 127-133. https://www.abacademies.org/articles/Assessment-of-the-risks-of-entrepreneurship-1528-2651-22-S1-351.pdf [In English].

17. Mattern, F., & Floerkemeier, C. (2010). From the Internet of Computers to the Internet of Things. From Active Data Management to Event-Based Systems and More. Lecture Notes in Computer Science / Sachs, K., Petrov, I., & Guerrero, P. (eds), 6462. Springer, Berlin, Heidelberg. [In English]. https://doi.org/10.1007/978-3-642-17226-7_15.

18. Miorandi, D., Sicari, S., Pellegrini, F., & Chlamtac, I. (2012). Internet of Things: Vision, Applications and Research Challenges. Ad Hoc Networks, 10, 7, 1497-1516. [In English]. https://doi.org/10.1016/j.adhoc.2012.02.016.

19. Mushtaq, A., & Haq, I.U. (2019). Implications of Blockchain in Industry 4.O. International Conference on Engineering and Emerging Technologies (ICEET). [In English]. https://doi.org/10.1109/CEET1.2019.8711819.

20. Power, M. (2014). Risk Management and Corporate Governance. OECD [In English].

21. Schwab, K. (2016). The Fourth Industrial Revolution. Penguin Group [In English].

22. Schwarz, T. (Hrsg). (2015). Big Data im Marketing. Chancen und Möglichkeiten für eine effektive Kundenansprache. Freiburg, München: Haufe Gruppe [In English].

23. Sinha, S. (2024). Blockchain for Enhancing IoT Privacy and Security. International Journal of Innovative Research in Computer Science & Technology, 12(2), 106-110. [In English]. https://doi.org/10.55524/ijircst.2024.12.2.18.

24. Uckelmann, D., Harrison, M., & Michahelles, F. (2011). Architecting the Internet of Things [In English].

25. Vermesan, O., & Friess, P. (2013). Enabling Things to Talk: Designing IoT Solutions with the IoT Architectural Reference Model. Springer [In English].

26. Wang, M., Wu, Y., Chen, B., & Evans, M. (2021). Blockchain and Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration. OSCM Publications, 14, 1. [In English]. http://doi.org/10.31387/ oscm0440290/

Citations

  1. Вєрсанова Г.А., Ксенофонтов Д.В., Савенчук І.С. Механізми підвищення рівня економічної безпеки підприємств в умовах цифровізації. Вісник Східноєвропейського університетуекономіки і менеджменту. Вип. № 2 (32), 2024 С. 145-137. URL: https://doi.org/10.58253/2078-1628-2024-2(32)-010.
  2. Жовновач Р.І., Петленко Т.Г., Орлова А.А. Технології управління підприємством в системі менеджменту. Український журнал прикладної економіки та техніки. 2024. №1. С. 18-23. DOI: 10.36887/2415-8453-2024-1-2.
  3. Кравченко М.С., Погорелов В.М., Будагян А.С. Цифрові технології управління ланцюгом постачань та підвищення конкурентного потенціалу виробничого підприємства. Центральноукраїнський науковий вісник. Економічні науки. 2024, №11(44). С. 126-137. URL:https://doi.org/10.32515/2663-1636.2024.11(44).145-156.
  4. Хаджинова О.В., Савенчук І.С., Хаджинова М.С. Трансформація бізнес-процесів промислових підприємств в умовах цифровізації. Центральноукраїнський науковий вісник. Економічні науки. 2024, №11(44). С. 126-137. URL: https://doi.org/10.32515/2663-1636.2024.11(44).126-137.
  5. Annosi M.C., Foss N.J. Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science. 2020. 167(1). P. 2200-2210. URL: https://doi.org/10.1016/j.procs.2020.03.272.
  6. Atzori L., Iera A., Morabito G. (2010) The Internet of Things: A Survey. Computer Networks. 2010. Volume 54. Issue 15. P. 2787-2805. DOI: 10.1016/j.comnet.2010.05.010.
  7. Bath J., Winkler K. Hybrid Work. 1., Auflage. 2023. Freiburg, München, Stuttgart: Haufe Group. 280 s.
  8. Choi T.-M., Lambert J.H. Advances in Risk Analysis with Big Data. Risk Analysis. 2017. 37(8). P. 1435-14442. URL: https://doi.org/10.1111/risa.12859.
  9. Crouhy M., Galai D., Mark R. The Essentials of Risk Management. 2006. 414 p.
  10. De Santis F. Artificial Intelligence for Risk Management. Artificial Intelligence in Accounting and Auditing. 2024. P. 139-154. URL: https://doi.org/10.1007/978-3-031-71371-2_6.
  11. Erlhofer S. Suchmaschinen Optimierung. Das umfassende Handbuch. 11., aktualisierte Auflage. Rheinwerk Verlag GmbH, Bonn. 2023. 1232 s.
  12. Frame J.D. Managing Risk in Organizations: A Guide for Managers. The Jossey-Bass business & management series 2003. 288 p.
  13. Gershenfeld N. When Things Start to Think. Henry Holt and Company. 1999. 225 p.
  14. Husain F., Husain R., Hassan S.A., Hossain E. at al. Machine Learning in IoT Security: Current Solutions and Future Challenges. IEEE Communications Surveys & Tutorials. 2020. Volume 22. Issue 3. P. 1686-1721. URL: https://doi.org/10.1109/COMST.2020.2986444.
  15. Lam J. Enterprise Risk Management: From Incentives to Controls. 2014. 476 p. URL: https://doi.org/10.1002/9781118836477.
  16. Malakhovskyi Y., Gamaliy V., Zhovnovach R., Kulazhenko V, Cherednichenko M. Assessment of the risks of entrepreneurship as a prerequisite for the implementation of innovation projects. Journal of Entrepreneurship Education. 2019. Vol. 22. Issue 1, Р. 127-133. URL: https://www.abacademies.org/articles/Assessment-of-the-risks-of-entrepreneurship-1528-2651-22-S1-351.pdf (дата звернення 24.10.2024).
  17. Mattern F., Floerkemeier C. (2010). From the Internet of Computers to the Internet of Things. From Active Data Management to Event-Based Systems and More. Lecture Notes in Computer Science / Sachs, K., Petrov, I., Guerrero, P. (eds). Vol 6462. Springer, Berlin, Heidelberg. URL: https://doi.org/10.1007/978-3-642-17226-7_15.
  18. Miorandi D., Sicari S., Pellegrini F., Chlamtac I. Internet of Things: Vision, Applications and Research Challenges. Ad Hoc Networks. 2012. Volume 10. Issue 7. P. 1497-1516. URL: https://doi.org/10.1016/j.adhoc.2012.02.016.
  19. Mushtaq A., Haq I.U. Implications of Blockchain in Industry 4.O. International Conference on Engineering and Emerging Technologies (ICEET). 2019. URL: https://doi.org/10.1109/CEET1.2019.8711819
  20. Power M. Risk Management and Corporate Governance. OECD. 2014. 90 p.
  21. Schwab K. The Fourth Industrial Revolution. Penguin Group. 2016. 192 p.
  22. Schwarz T. (Hrsg). Big Data im Marketing. Chancen und Möglichkeiten für eine effektive Kundenansprache. 1. Auflage. Freiburg, München: Haufe Gruppe. 2015. 324 s.
  23. Sinha S. Blockchain for Enhancing IoT Privacy and Security. International Journal of Innovative Research in Computer Science & Technology. 2024. 12(2). 106-110. URL: https://doi.org/10.55524/ijircst.2024.12.2.18
  24. Uckelmann D., Harrison M., Michahelles F. Architecting the Internet of Things. 2011. Springer. 384 p.
  25. Vermesan O., Friess P. Enabling Things to Talk: Designing IoT Solutions with the IoT Architectural Reference Model. Springer. 2013. Springer. 359 p.
  26. Wang M., Wu Y., Chen B., Evans M. Blockchain and Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration. OSCM Publications. 2021. Volume 14. Issue 1. URL: https://doi.org/10.31387/ oscm0440290.
Copyright (c) 2024 Olena Khadzhynova, Ruslana Zhovnovach, Oleksandr Shchepka