Methodology for assessing the influence of external and internal factors on the development of the digital economy

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Authors:


N.I.Verkhoglyadova*, orcid.org/0000-0002-9190-3867, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.V.Kononova, orcid.org/0000-0003-3132-0851, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ye.P.Morozova, orcid.org/0000-0001-9421-9537, Prydniprovska State Academy of Civil Engineering and Architecture, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

L.I.Brovko, orcid.org/0000-0003-2577-0741, Dnipro State Agrarian and Economic University, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

T.M.Ostapenko, orcid.org/0000-0002-9292-3560, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine,  e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author 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. 2023, (3): 125 - 130

https://doi.org/10.33271/nvngu/2023-3/125



Abstract:



Purpose.
To develop a mathematical model and propose an algorithm for analyzing and evaluating the impact on the digital economy and forming the method for choosing the factors of the external and internal impact which require institutional management measures.


Methodology.
Special and general methods of scientific knowledge are used: mathematical methods – for developing a model for assessing the effects on the digital economy and choosing institutional management measures; methods of analytical research – to distinguish groups of factors; the method of analysis and synthesis – when determining the most important factors and groups of influence and developing a management algorithm.


Findings.
Factors influencing the directions of investment in digital technologies for mass and corporate consumers and a significant difference in the amount of financing according to them have been identified. The possibility of a decrease in the level of competitiveness of the country due to the inadequacy of investing in digital technologies for the corporate sector is indicated. Management actions to increase investment in digital technologies for the corporate sector are recommended.


Originality.
The mathematical model and algorithm have been developed for the analysis and assessment of impacts on the digital economy and the formation of a method for selecting impact factors that require management measures. Using a mathematical model, the area of investing in the development of the digital economy was analyzed and management proposals for this area were developed.


Practical value.
The developed mathematical model for the analysis and assessment of impacts on the digital economy and the algorithm for monitoring, analysis and management of impacts can be implemented for scientific and practical purposes.



Keywords:
methodology, digital economy, influence factors, external and internal influence, algorithm

References.


1. Hanna, N. K. (2020). Assessing the digital economy: aims, frameworks, pilots, results, and lessons. Journal of Innovation and Entrepreneurship, 9(1), 16. https://doi.org/10.1186/s13731-020-00129-1.

2. Evans, N., Miklosik, A., Bosua, R., & Qureshi, A. M. A. (2022). Digital Business Transformation: An Experience-Based Holistic Framework. IEEE Access, 10, 121930. https://doi.org/10.1109/ACCESS.2022.3221984.

3. Okhrimenko, I., Sovik, I., Pyankova, S., & Lukyanova, A. (2019). Digital transformation of the socioeconomic system: prospects for digitalization in society. Revista ESPACIOS, 40(38), 26.

4. Luo, X., & Yu, S. C. (2022). Relationship between External Environment, Internal Conditions, and Digital Transformation from the Perspective of Synergetics. Discrete Dynamics in Nature and Society, 2022, 6756548. https://doi.org/10.1155/2022/6756548.

5. Pang, J., Jiao, F., & Zhang, Y. (2022). An Analysis of the Impact of the Digital Economy on High-Quality Economic Development in China – A Study Based on the Effects of Supply and Demand. Sustainability, 14, 16991. https://doi.org/10.3390/ su142416991.

6. Zayed, N. M., Mohamed, I. S., Islam, K. M. A., Perevozova, I., Nitsenko, V., & Morozova, O. (2022). Factors Influencing the Financial Situation and Management of Small and Medium Enterprises. Journal of Risk and Financial Management, 15, 554. https://doi.org/10.3390/jrfm15120554.

7. Shkvaryliuk, M., Horal, L., Khvostina, I., Maksymova, A., & Shyiko, V. (2021). Development and Use of Information and Digital Technologies at Ukrainian Enterprises. SHS Web of Conferences, 100(2021), 01010. https://doi.org/10.1051/shsconf/202110001010.

8. Gurbaxani, V., & Dunkle, D. (2019). Gearing Up for Successful Digital Transformation. MIS Quarterly Executivem, 18(3), 6.

9. Jabłonski, M., & Jabłonski, A. (2019). Social Factors as a Basic Driver of the Digitalization of the Business Models of Railway Companies. Sustainability, 11(12), 3367. https://doi.org/10.3390/su11123367.

10. Werth, O., Schwarzbach, C., Rodríguez Cardona, D., Breitner, M. H., & Graf von der Schulenburg, J.-M. (2020). Influencing factors for the digital transformation in the financial services sector. Zeitschrift Gesamte Versicher, 109, 155-179. https://doi.org/10.1007/s12297-020-00486.

11. Trachenko, L., Verkhoglyadova, N., Shevchenko, N., Kononova, I., & Sokolovska, I. (2020). Assessment of Quality Management Systems of Service Companies. Intelektinė ekonomika intellectual economics, 14(1), 45-66. https://doi.org/10.13165/IE-20-14-1-03.

12. Agarkov, O., Verkhoglyadova, N., Chumachenko, D., Kononova, I., & Buhaieva, M. (2019). Managment factors contributing to the improvement of the quality of social services in residential institutions: regional aspect. Turismo Estudos & Praticas (UERN), 2, 1-10.

13. Zhang, X., Xu, Y., & Ma, L. (2022). Research on Successful Factors and Influencing Mechanism of the Digital Transformation in SMEs. Sustainability, 14, 2549. https://doi.org/10.3390/su14052549.

14. Demianchuk, M., Koval, V., Hordopolov, V., Kozlovtseva, V., & Atstaja, D. (2021). Ensuring sustainable development of enterprises in the conditions of digital transformations. E3S Web of Conferences, 280, 02002. https://doi.org/10.1051/e3sconf/202128002002.

15. Trenerry, B., Chng, S., Wang, Y., Suhaila, Z. S., Lim, S. S., Lu, H.Y., & Oh, P. H. (2021). Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors. Frontiers in Psychology, 12, 620766. https://doi.org/10.3389/fpsyg.2021.620766.

16. Lozovik, Y., Tishkov, B., Pomazun, O., Derbentsev, V., & Hostryk, A. (2021). Improvement of the methods of assessing the influence of external factors on the strengths and weaknesses of the enterprise. SHS Web of Conferences, 107, 06006. https://doi.org/10.1051/shsconf/202110706006.

17. Kuang-Hua, H., Fu-Hsiang, C., Ming-Fu, H., & Gwo-Hshiung, T. (2021). Identifying key factors for adopting artificial intelligence-enabled auditing techniques by joint utilization of fuzzy-rough set theory and MRDM technique. Technological & Economic Development of Economy, 27(2), 459-492. https://doi.org/10.3846/tede.2020.13181.

18. Lim, W. M., Chin, M. W. C., Ee, Y. S., Fung, C. Y., Giang, C. S., Heng, K. S., …, & Weissmann, M. A. (2022). What is at stake in a war? A prospective evaluation of the Ukraine and Russia conflict for business and society. Global Business and Organizational Excellence, 41(6), 23-36. https://doi.org/10.1002/joe.22162.

19. Bazaluk, O., Kotenko, S., & Nitsenko, V. (2021). Entropy as an Objective Function of Optimization Multimodal Transportations. Entropy, 23(8), 1-15. https://doi.org/10.3390/e23080946.

20. Global connectivity index (2023). Retrieved from https://www.huawei.com/minisite/gci/en/country-profile-ua.html.

21. State Statistics Service of Ukraine (2023). Retrieved from https://www.ukrstat.gov.ua.

22. Ulko, Ye., Moskalenko, A., Kucher, A., Pavlenko, O., & Serbov, M. (2022). Economic evaluation of the consequences of soil pollution in the system of sustainable land management. Agricultural and Resource Economics, 8(4), 266-300. https://doi.org/10.51599/are.2022.08.04.12.

23. Kuznetsov, A., Gorbenko, Y., Kolovanova, I., Smirnov, S., Perevozova, I., & Kuznetsova, T. (2021). Output Feedback Encryption Mode: Periodic Features of Output Blocks Sequence. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds). Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_27.

24. Isti’anah, M., Suhud, U., & Usman, O. (2022). Analyzing Decision-Making Factors for Using Social Media: The Role of Trust and Information Sharing. European Journal of Management Issues, 30(3), 142-152. https://doi.org/10.15421/192213.

25. Balanovska, T., Havrysh, O., & Gogulya, O. (2019). Developing enterprise competitive advantage as a component of anti-crisis management. Entrepreneurship and Sustainability Issues, 7(1), 303-323. https://doi.org/10.9770/jesi.2019.7.1(23).

 

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