Methodology for assessing the influence of external and internal factors on the development of the digital economy
- Details
- Category: Content №3 2023
- Last Updated on 27 June 2023
- Published on 30 November -0001
- Hits: 2507
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.
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).
Newer news items:
- Crowdsourcing for business strategy and sustainability: a partial least square structural equation model - 27/06/2023 03:35
- Ukraine labour potential modelling based on using the theory of unclear logic - 27/06/2023 03:35
- Analysis of motivation determinants in the implementation of online training of future managers at state universities - 27/06/2023 03:35
- Financial and credit support of market-oriented management of transport engineering enterprises - 27/06/2023 03:35
- Development of collective intelligence in the enterprises’ digital transformation - 27/06/2023 03:35
- Fundamental imperatives of eliminating uncertainty on the basis of monitoring the activity of the iron ore enterprise - 27/06/2023 03:35
- Experimental research on muffle furnace dynamic properties - 27/06/2023 03:35
- Evaluation and control of data relevance in information systems of the transport industry management - 27/06/2023 03:35
- Optimization of track distribution of industrial railway stations between car designations - 27/06/2023 03:35
Older news items:
- Homomorphic filtering in digital multichannel image processing - 27/06/2023 03:35
- Economic aspects of assessment and marketing of carbon emissions by enterprises based on the principles of sustainable development - 27/06/2023 03:35
- Problem issues regarding legal liability for environmental offenses in Ukraine - 27/06/2023 03:35
- Mathematical model of air flow movement in a motorized filter respirator - 27/06/2023 03:35
- Methods for improving accounting and analytical support of enterprises in order to protect the environment - 27/06/2023 03:35
- Assessment of the risk to human health from the accumulation of heavy metals in and around the “2 July” neighborhood (Mitrovica-Kosovo, Kosovo) - 27/06/2023 03:35
- Assessing the accuracy of modeling the tubbing erector manipulator mechanism in solidworks motion program - 27/06/2023 03:35
- Long-term thermal productivity of polystyrene concrete in a new composite wall in a fixed formwork - 27/06/2023 03:35
- Design of double-shoulder threaded joints of drilling string elements - 27/06/2023 03:35
- Microstructures and mechanical properties of cold rolled pipes with increased small deformation - 27/06/2023 03:35