Development of a system for statistical measurement of the influence of digital technologies on the efficiency of management

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.252911

Keywords:

management efficiency, assessment of the level of digitalization, digital technologies, statistical measurement system

Abstract

A system of statistical measurement of the influence of digital technologies on the efficiency of management has been devised. It is determined that in the process of intensification of digitalization processes, various methodological approaches to statistical measurement of management efficiency were distinguished. Indices used to compile international ratings for the development of digital technologies have been established. The existing methodical approaches of statistical measurement of influence of digitalization on efficiency of public administration have been analyzed. In this regard, it was determined that there is no unified method of evaluation. A conceptual model of the system of statistical measurement of management efficiency under the conditions of digitalization at the organizational level has been built. It is substantiated that the devised model creates the basis for the formation of theoretical and methodological foundations for statistical measurement of the impact of digital technologies on management efficiency. Statistical indicators of the impact of digital technologies on management efficiency were systematized. The composition of indicators of measurement of external efficiency, efficiency coefficients of the controlled subsystem and control subsystem was clarified. A procedure for calculating the indicator of the overall efficiency of management has been devised. A methodical approach for diagnosing the movement of management efficiency indicators was proposed. It is established that differences in the speed of movement lead to large differences in the values of indicators. It has been determined that solving the system of equations makes it possible to find the intersection points of linear trends. The use of the proposed methodological approach could make it possible to measure the quantitative and qualitative effects of digitalization and ensure effective management at all levels by taking into consideration the interests of all stakeholders.

Author Biographies

Igor Dunayev, V. N. Karazin Kharkiv National University; Research Center of Economic and Legal Solutions in the Area of Application of Distributed Ledger Technologies

Doctor of Science in Public Administration, Professor

Department of Economic Policy and Management

Educational and Research Institute «Institute of Public Administration»

Director

Iryna Hotlib, Odessa National Economic University

PhD, Associate Professor

Department of Statistics

Juliya Olvinskaya, Odessa National Economic University

PhD, Associate Professor, Head of Department

Department of Statistics

Olena Fomina, Donetsk National Technical University

PhD, Associate Professor

Department of Economics, Accounting and Taxation

Diana Hrybova, Dmytro Motornyi Tavria State Agrotechnological University

Doctor of Economic Sciences, Associate Professor

Department of Business Consulting and International Tourism

Nataliya Olentsevych, Kyiv National Linguistic University

PhD, Associate Professor

Department of Management and Marketing

Yevhen Popov, Donetsk National Technical University; PJSC « AVDIIVKA COKE PLANT»

Postgraduate Student

Department of Economics, Accounting and Taxation

Senior Manager

Technical Department

Oleksandr Nosyriev, National Technical University «Kharkiv Polytechnic Institute»

PhD, Associate Professor

Department of International Business and Finance

References

  1. Vishnevskiy, K. O., Gokhberg, L. M. et. al. (2019). Chto takoe tsifrovaya ekonomika? Trendy, kompetentsii, izmerenie. Moscow: Izdatel'skiy dom Vysshey shkoly ekonomiki, 82. Available at: https://www.hse.ru/data/2019/04/12/1178004671/2%20%D0%A6%D0%B8%D1%84%D1%80%D0%BE%D0%B2%D0%B0%D1%8F_%D1%8D%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B8%D0%BA%D0%B0.pdf
  2. Ukraina 2030E – kraina z rozvynutoiu tsyfrovoiu ekonomikoiu. Available at: https://strategy.uifuture.org/kraina-z-rozvinutoyu-cifrovoyu-ekonomikoyu.html
  3. Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28 (2), 118–144. doi: https://doi.org/10.1016/j.jsis.2019.01.003
  4. Issa, A., Hatiboglu, B., Bildstein, A., Bauernhansl, T. (2018). Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment. Procedia CIRP, 72, 973–978. doi: https://doi.org/10.1016/j.procir.2018.03.151
  5. Chu, Y., Chi, M., Wang, W., Luo, B. (2019). The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA. Sustainability, 11 (21), 5946. doi: https://doi.org/10.3390/su11215946
  6. Guo, L., Xu, L. (2021). The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector. Sustainability, 13 (22), 12844. doi: https://doi.org/10.3390/su132212844
  7. Nasiri, M., Ukko, J., Saunila, M., Rantala, T., Rantanen, H. (2020). Digital-related capabilities and financial performance: the mediating effect of performance measurement systems. Technology analysis & strategic management, 32 (12), 1393–1406. doi: https://doi.org/10.1080/09537325.2020.1772966
  8. Cherkasova, V. A., Slepushenko, G. A. (2021). The Impact of Digitalization on the Financial Performance of Russian Companies. Finance: Theory and Practice, 25 (2), 128–142. doi: https://doi.org/10.26794/2587-5671-2021-25-2-128-142
  9. Abou-foul, M., Ruiz-Alba, J. L., Soares, A. (2020). The impact of digitalization and servitization on the financial performance of a firm: an empirical analysis. Production Planning & Control, 32 (12), 975–989. doi: https://doi.org/10.1080/09537287.2020.1780508
  10. Hanelt, A., Firk, S., Hildebrandt, B., Kolbe, L. M. (2020). Digital M&A, digital innovation, and firm performance: an empirical investigation. European Journal of Information Systems, 30 (1), 3–26. doi: https://doi.org/10.1080/0960085x.2020.1747365
  11. Ivanov, D., Dolgui, A., Sokolov, B. (2018). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57 (3), 829–846. doi: https://doi.org/10.1080/00207543.2018.1488086
  12. Belhadi, A., Kamble, S., Fosso Wamba, S., Queiroz, M. M. (2021). Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. International Journal of Production Research. doi: https://doi.org/10.1080/00207543.2021.1950935
  13. Baryannis, G., Validi, S., Dani, S., Antoniou, G. (2018). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 57 (7), 2179–2202. doi: https://doi.org/10.1080/00207543.2018.1530476
  14. Helo, P., Hao, Y. (2021). Artificial intelligence in operations management and supply chain management: an exploratory case study. Production Planning & Control, 1–18. doi: https://doi.org/10.1080/09537287.2021.1882690
  15. Strutynska, I., Dmytrotsa, L., Kozbur, H. (2019). The Main Barriers and Drivers of the Digital Transformation of Ukraine Business Structures. Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, 2387, 50–64. Available at: http://ceur-ws.org/Vol-2387/20190050.pdf
  16. Ardolino, M., Rapaccini, M., Saccani, N., Gaiardelli, P., Crespi, G., Ruggeri, C. (2017). The role of digital technologies for the service transformation of industrial companies. International Journal of Production Research, 56 (6), 2116–2132. doi: https://doi.org/10.1080/00207543.2017.1324224
  17. Heavin, C., Power, D. J. (2018). Challenges for digital transformation – towards a conceptual decision support guide for managers. Journal of Decision Systems, 27 (1), 38–45. doi: https://doi.org/10.1080/12460125.2018.1468697
  18. Averina, T., Barkalov, S., Fedorova, I., Poryadina, V. (2021). Impact of digital technologies on the company's business model. E3S Web of Conferences, 244, 10002. doi: https://doi.org/10.1051/e3sconf/202124410002
  19. Dunayev, I., Kud, A., Latynin, M., Kosenko, A., Kosenko, V., Kobzev, I. (2021). Improving methods for evaluating the results of digitizing public corporations. Eastern-European Journal of Enterprise Technologies, 6 (13 ((114)), 17–28. doi: https://doi.org/10.15587/1729-4061.2021.248122
  20. Goloventchik, G. G. (2018). Rating Analysis of the Level of Digital Transformation of the Economies of EAEU and EU the Countries. Digital Transformation, 2 (3), 5–18. Available at: https://dt.giac.by/jour/article/view/75/61?locale=ru_RU
  21. Yegorov, I. Y., Gryga, V. Y. (2019). Comparative Analysis of the Availability of Digitalization Indicators in Ukraine and Other EU Eastern Partnership Countries. Statistics of Ukraine, 3, 56–62. doi: https://doi.org/10.31767/su.3(86)2019.03.06
  22. Yavorskyi, P., Taran, S., Shepotylo, O., Hamaniuk, O. (2020). Intehratsiya Ukrainy u yedynyi tsyfrovyi rynok YeS. Potentsiyni ekonomichni pervahy. Kyiv: HO «Ukraiyinskyi tsentr evropeyskoiyi polityky», 51. Available at: https://eu-ua.kmu.gov.ua/sites/default/files/inline/files/dig_ukraine_eu_15.12.2020-_2.pdf
  23. Grytsulenko, S., Zakharchenko, L. (2019). Development of comparative assessment method of digital economy based on the integral index. Technology Audit and Production Reserves, 6 (4 (50)), 33–39. doi: https://doi.org/10.15587/2312-8372.2019.188751
  24. Dobrolyubova, E. I. (2020). Pokazateli rezul'tativnosti i effektivnosti tsifrovizatsii gosudarstvennogo upravleniya. Moscow, 70. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3678028
  25. Sidorenko, E. L., Bartsits, I. N., Khisamova, Z. I. (2019). The Efficiency of Digital Public Administration Assessing: Theoretical and Applied Aspects. Public Administration, 2, 93–114. Available at: https://cyberleninka.ru/article/n/effektivnost-tsifrovogo-gosudarstvennogo-upravleniya-teoreticheskie-i-prikladnye-aspekty
  26. Minashkin, V. G., Prokhorov, P. E. (2018). Statistical analysis of the use of digital technologies in organizations: regional aspect. Statistics and Economics, 15 (5), 51–62. doi: https://doi.org/10.21686/2500-3925-2018-5-51-62
  27. Аrtemieva, І. О. (2020). The System for Statistical Measurement of Digital Economy Parameters: Development Trends. Statistics of Ukraine, 1, 66–74. doi: https://doi.org/10.31767/su.1(88)2020.01.08
  28. Oliynyk, D. I. (2021). Shchodo vymiriuvannia protsesiv tsyfrovizatsiyi v konteksti tsilei ekonomichnoho vidnovlennia. Natsionalnyi instytut stratehichnykh doslidzhen. Available at: https://niss.gov.ua/sites/default/files/2021-08/tsyfrovizatsiya1.pdf
  29. Nazarchuk, T. V., Kosiuk, O. M. (2016). Menedzhment orhanizatsiy. Kyiv: «Tsentr uchbovoi literatury», 560. Available at: http://pdf.lib.vntu.edu.ua/books/2017/menedzhment_org.pdf
  30. Gölzer, P., Fritzsche, A. (2017). Data-driven operations management: organisational implications of the digital transformation in industrial practice. Production Planning & Control, 28 (16), 1332–1343. doi: https://doi.org/10.1080/09537287.2017.1375148
  31. Cooper, C., Bou, J. T., Varley-Campbell, J. (2019). Evaluating the effectiveness, efficiency, cost and value of contacting study authors in a systematic review: a case study and worked example. BMC Medical Research Methodology, 19 (1). doi: https://doi.org/10.1186/s12874-019-0685-0
  32. Kotarba, M. (2017). Measuring Digitalization – Key Metrics. Foundations of Management, 9 (1), 123–138. doi: https://doi.org/10.1515/fman-2017-0010
  33. Parviainen, P., Kääriäinen, J., Tihinen, M., Teppola, S. (2017). Tackling the digitalization challenge: how to benefit from digitalization in practice. International Journal of Information Systems and Project Management, 5 (1), 63–77. doi: https://doi.org/10.12821/ijispm050104
  34. Semenova, V. G. (2015). The System of Indicators for Evaluating the Effectiveness of Intellectual Property Management at Enterprises. Problemy ekonomiky, 2, 179–185. Available at: https://www.problecon.com/export_pdf/problems-of-economy-2015-2_0-pages-179_185.pdf
  35. Vykorystannia informatsiyno-komunikatsiynykh tekhnolohiy na pidpryiemstvakh. Derzhavna sluzhba statystyky Ukrainy. Available at: http://www.ukrstat.gov.ua/operativ/operativ2018/zv/ikt/arh_ikt_u.html
  36. Nychyporenko, K. V., Alieksandrova, M. V. Tsyfrovizatsiya. Available at: https://iie.org.ua/wp-content/uploads/2019/02/Prezentatsiya_Margarita-szhatyiy.pdf
  37. Okara, D. V. (2018). Ekonometriya. Odessa: ODABA, 144. Available at: http://mx.ogasa.org.ua/bitstream/123456789/5155/1/%D0%95%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D1%96%D1%8F.pdf
  38. Hryhorenko, Yu. (2021). Staleva tsyfra: yak metalurhy y hirnyky rozvyvaiut IT-tekhnolohiyi. Available at: https://gmk.center/ua/posts/staleva-cifra-yak-metalurgi-j-girniki-rozvivajut-it-tehnologii/
  39. PJSC «AVDIIVKA COKE». Available at: https://akhz.metinvestholding.com/en
  40. PrAT «Zaporizhkoks». Available at: https://www.zaporozhcoke.com/
  41. Nunkoo, R., Seetanah, B., Jaffur, Z. R. K., Moraghen, P. G. W., Sannassee, R. V. (2019). Tourism and Economic Growth: A Meta-regression Analysis. Journal of Travel Research, 59 (3), 404–423. doi: https://doi.org/10.1177/0047287519844833
  42. Dunayev, I. (2018). The modernization logics and principles of designing a new generation of regional economic policies: findings for recent Ukraine and Eastern-European countries in transition. Modernization: Progress in Economics Research. Vol. 41. New York: NOVA Publ., 53–90.

Downloads

Published

2022-02-28

How to Cite

Dunayev, I., Hotlib, I., Olvinskaya, J., Fomina, O., Hrybova, D., Olentsevych, N., Popov, Y., & Nosyriev, O. (2022). Development of a system for statistical measurement of the influence of digital technologies on the efficiency of management. Eastern-European Journal of Enterprise Technologies, 1(13(115), 49–58. https://doi.org/10.15587/1729-4061.2022.252911

Issue

Vol. 1 No. 13(115) (2022): Transfer of technologies: industry, energy, nanotechnology

Section

Transfer of technologies: industry, energy, nanotechnology

License

Copyright (c) 2022 Igor Dunayev, Iryna Hotlib, Juliya Olvinskaya, Olena Fomina, Diana Hrybova, Nataliya Olentsevych, Yevhen Popov, Oleksandr Nosyriev

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.