Devising a methodology for estimating the information potential of energy enterprises under the conditions of digital coherency

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.332324

Keywords:

information potential, energy enterprises, integral indicator, digital coherence, assessment of information potential

Abstract

The object of this study is the process of assessing the level of information potential of energy enterprises under the conditions of digital coherence. The problem of effective management of the information potential of energy enterprises is solved on the basis of devising a methodology for assessing the level of information potential of energy enterprises under the conditions of digital coherence, taking into account modern challenges associated with the integration of digital systems. The methodology makes it possible to ensure the accuracy of analysis, prompt decision-making, and adaptation to the dynamic conditions of digital transformation. The devised methodology is based on interrelated stages, including the integration of indicators, assessment of the interaction of system components, and monitoring changes in indicators of the information potential of energy enterprises. The main stages of the methodology are selection of components of the information potential, such as the level of automation, IT infrastructure, staffing, information security, and digital systems; analysis of their interaction; monitoring and management of risks in real time. It was determined that the application of the methodology makes it possible to identify the weaknesses of the enterprise's information system and adapt it to new challenges, including cyber threats and the need for technological updates. The main feature is the ability of the methodology to analyze the relationships between infrastructure components, taking into account digital coherence, which makes it possible to increase the accuracy of risk assessment and the efficiency of managing the information potential of the energy enterprise. Based on the data obtained, it is possible to assess the critical decrease in the level of information potential of the Zaporizhzhia Power Plant from 0.5790 to 0.3710 arbitrary units and its possible consequences for the efficiency of the enterprise

Author Biographies

Viktoriia Prokhorova, V. N. Karazin Kharkiv National University

Doctor of Economic Sciences, Рrofessor

Department of Economics and Management

Oleksandr Budanov, V. N. Karazin Kharkiv National University

PhD Student

Department of Economics and Management

Pavlo Budanov, V. N. Karazin Kharkiv National University

PhD, Associate Professor

Department of Electrical Engineering and Power Engineering

Krystyna Slastianykova, V. N. Karazin Kharkiv National University

Assistant

Department of Economics and Management

References

  1. Walter, L., Denter, N. M., Kebel, J. (2022). A review on digitalization trends in patent information databases and interrogation tools. World Patent Information, 69, 102107. https://doi.org/10.1016/j.wpi.2022.102107
  2. Berdik, D., Otoum, S., Schmidt, N., Porter, D., Jararweh, Y. (2021). A Survey on Blockchain for Information Systems Management and Security. Information Processing & Management, 58 (1), 102397. https://doi.org/10.1016/j.ipm.2020.102397
  3. Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. https://doi.org/10.1016/j.jii.2021.100257
  4. Hughes, L., Dwivedi, Y. K., Misra, S. K., Rana, N. P., Raghavan, V., Akella, V. (2019). Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda. International Journal of Information Management, 49, 114–129. https://doi.org/10.1016/j.ijinfomgt.2019.02.005
  5. Fedushko, S., Benova, E. (2019). Semantic analysis for information and communication threats detection of online service users. Procedia Computer Science, 160, 254–259. https://doi.org/10.1016/j.procs.2019.09.465
  6. Gunduz, M. Z., Das, R. (2020). Cyber-security on smart grid: Threats and potential solutions. Computer Networks, 169, 107094. https://doi.org/10.1016/j.comnet.2019.107094
  7. Tolah, A., Furnell, S. M., Papadaki, M. (2021). An empirical analysis of the information security culture key factors framework. Computers & Security, 108, 102354. https://doi.org/10.1016/j.cose.2021.102354
  8. Andersson, A., Hedström, K., Karlsson, F. (2022). Standardizing information security – a structurational analysis. Information & Management, 59(3), 103623. https://doi.org/10.1016/j.im.2022.103623
  9. Hadlington, L., Binder, J., Stanulewicz, N. (2021). Exploring role of moral disengagement and counterproductive work behaviours in information security awareness. Computers in Human Behavior, 114, 106557. https://doi.org/10.1016/j.chb.2020.106557
  10. Xu, L. D., Duan, L. (2018). Big data for cyber physical systems in industry 4.0: a survey. Enterprise Information Systems, 13 (2), 148–169. https://doi.org/10.1080/17517575.2018.1442934
  11. Nishant, R., Kennedy, M., Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104
  12. Diachkov, D. V. (2014). Estimation of information potential of industrial enterprises. Ekonomika. Menedzhment. Pidpryiemnytstvo, 26 (1), 75–84. Available at: http://nbuv.gov.ua/UJRN/ecmepi_2014_26(1)__11
  13. Diachkov, D. V. (2012). Metodychni pidkhody do otsinky informatsiynoho potentsialu pidpryiemstva. Naukovyi visnyk Poltavskoho universytetu ekonomiky i torhivl, 4 (55), 131–135. Available at: http://nbuv.gov.ua/UJRN/Nvpusk_2012_4_27
  14. Prokhorova, V., Protsenko, V., Bezuglaya, Y., Us, J. (2018). The optimization algorithm for the directions of influence of risk factors on the system that manages the potential of machine-building enterprises. Eastern-European Journal of Enterprise Technologies, 4 (1 (94)), 6–13. https://doi.org/10.15587/1729-4061.2018.139513
  15. Shibaeva, N., Baban, T., Prokhorova, V., Karlova, O., Girzheva, O., Krutko, M. (2019). Methodological bases of estimating the efficiency of organizational and economic mechanism of regulatory policy in agriculture. Global Journal of Environmental Science and Management, 5, 160–171. https://doi.org/10.22034/gjesm.2019.05.SI.18
  16. Babenko, V., Baksalova, O., Prokhorova, V., Dykan, V., Ovchynnikova, V., Chobitok, V. (2021). Information And Consulting Service Using In The Organization Of Personnel Management. Studies of Applied Economics, 38 (4). https://doi.org/10.25115/eea.v38i4.3999
  17. Iarmosh, O., Prokhorova, V., Shcherbyna, I., Kashaba, O., Slastianykova, K. (2021). Innovativeness of the creative economy as a component of the Ukrainian and the world sustainable development strategy. IOP Conference Series: Earth and Environmental Science, 628 (1), 012035. https://doi.org/10.1088/1755-1315/628/1/012035
  18. MEK 62443-2-1. Promyslovi komunikatsiyni merezhi – Informatsiyna bezpeka merezhi ta systemy – Chastyna 2-1: Stvorennia prohramy informatsiynoi bezpeky systemy promyslovoi avtomatyzatsiyi. Available at: https://tk185.appau.org.ua/downloads/IEC_62443_2_1_ukr_draft.pdf
  19. Prokhorova, V., Budanov, M., Budanov, P., Zaitseva, A., Slastianykova, A. (2025). Devising a comprehensive methodology for estimating the economic efficiency of implementing an investment project for ensuring energy security of enterprises: organizational-economic aspect. Eastern-European Journal of Enterprise Technologies, 1 (13 (133)), 59–68. https://doi.org/10.15587/1729-4061.2025.321965
  20. Prokhorova, V., Budanov, O., Budanov, P., Slastianykova, K. (2025). Comprehensive methodology for estimating information safety at enterprises of electroenergy system under the conditions of digital coherence. Eastern-European Journal of Enterprise Technologies, 2 (13 (134)), 27–37. https://doi.org/10.15587/1729-4061.2025.327159
Devising a methodology for estimating the information potential of energy enterprises under the conditions of digital coherency

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Published

2025-06-30

How to Cite

Prokhorova, V., Budanov, O., Budanov, P., & Slastianykova, K. (2025). Devising a methodology for estimating the information potential of energy enterprises under the conditions of digital coherency. Eastern-European Journal of Enterprise Technologies, 3(13 (135), 6–16. https://doi.org/10.15587/1729-4061.2025.332324

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Section

Transfer of technologies: industry, energy, nanotechnology