Mechanism for assessing the digital maturity of industrial enterprises’ personnel

Abstract

Introduction. The current trends in the development of the world economy set the vector for innovative renewal in the industrial entities of the Russian Federation. Digital independence and technological sovereignty of enterprises are determined by the introduction of cutting-edge computer programs and advanced information support for domestic developers. All-encompassing digitalization with no regard to the digital maturity of personnel could be a challenge with a large number of personnel risks and financial losses. Therefore, the concerns for appropriate assessment of personnel’s digital maturity come to the front.

Purpose. The purpose of this study is to develop an assessment mechanism for the digital maturity of personnel, which ensures the efficiency of assessment procedures that make it possible to objectively determine specialists’ readiness to work in the digital environment and promote industrial enterprises to a new level of technological development.

Materials and Methods. The paper refers to the methods of structural analysis and synthesis, generalization, analogy, modeling, system analysis, and optimization.

Results. The paper describes some ideas for assessing and increasing the digital maturity of personnel at industrial enterprises in the Russian Federation. These ideas expand the methodological tools of modern managers and support accelerated modernization processes that transfer enterprises to a state of innovative activity.

Conclusion. The author’s developments and conclusions have high practical significance for the development of key competencies at the Russian enterprises. This contributes into achieving the goals and higher competitiveness in a turbulent economy. The strategic guideline for further research is the issues of methodological and technological support for the developed proposals.

Keywords: innovative update, efficiency assurance, personnel’s digital maturity, techno-logical development, industrial enterprises

For citation

Vasyaycheva V. A. Mechanism for assessing the digital maturity of industrial enterprises’ personnel. Perm University Herald. Economy, 2024, vol. 19, no. 3, pp. 326–339. DOI 10.17072/1994-9960-2024-3-326-339. EDN RSYAJZ.

REFERENCES

1. Vasyaycheva V. А., Solovova N. V. To the issue of accessing the digital maturity of the enterprises’ personnel. Mezhdunarodnyi nauchno-issledovatel'skii zhurnal = International Research Journal, 2024, no. 7 (145). (In Russ.). DOI 10.60797/IRJ.2024.145.184
2. Solodilova N. Z., Malikov R. I., Grishin K. Е. Methodological tools to measure the state of regional entrepreneurial ecosystem. Ekonomika regiona = Economy of Regions, 2018, vol. 14, no. 4, pp. 1256– 1269. (In Russ.). DOI 10.17059/2018-4-16. EDN VPKTOB
3. Prukhina I. V., Diachkova А. V., Faizova А. R. Digitalization index and digital maturity as key indicators in Russia’s strategy. Spring Days of Science: Proceedings of International Conference for Students and Young Scientists. Yekaterinburg, 2022, pp. 1538–1543. (In Russ.). EDN GHNWMG
4. Romanets Е. А. Digital maturity as a tool for assessing state health policy for compliance with the national goal “Digital Transformation”. Cognitive Sciences in the Information Society, 2022, vol. 2, no. 3, Article 5. (In Russ.). EDN TZZBWS
5. Ivanova V. V., Lezina T. A., Stoyanova O. V. Sistema otsenki gotovnosti kompanii k tsifrovoi transformatsii. Business Management in Digital Economy: Proceedings. Ed. by I. A. Arenkov, М. К. Tsenzharik. Saint Petersburg, 2019, pp. 89–92. (In Russ.). EDN KFJCQE
6. Ismagilova L. А., Galimova M. P., Gileva T. A. The tools of organization of processes of creation competitive products in the digital economy. Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta imeni A. N. Tupoleva, 2018, vol. 74, no. 3, pp. 43– 51. (In Russ.). EDN PMBTCZ
7. Karpov O. E., Khramov A. E. Informatsionnye tekhnologii, vychislitel'nye sistemy i iskusstvennyi intellekt v meditsine. Moscow, 480 p. (In Russ.).
8. Kirillina Yu. V. Tsifrovaya transformatsiya i tsifrovaya zrelost' organizatsii. Scientific Research in the Modern World, 2020, no. 7-3 (63), pp. 72–80. (In Russ.). EDN FSETNQ
9. Tsifrovaya transformatsiya: ozhidaniya i real'nost': dokl. k XXIII Yasinskoi (Aprel'skoi) mezhdunar. nauch. konf. po problemam razvitiya ekonomiki i obshchestva. Prepared by I. Abdrakhmanova, S. A. Vasil'kovskii, K. O. Vishnevskii. et al.; Author's Column headed by P. B. Rudnik; edited by Т. S. Zinina, P. B. Rudnik. Moscow, 2022. 221 p. (In Russ.).
10. Vasyaycheva V. A. Kontseptual'nye osnovy obespecheniya effektivnosti innovatsionnoi deyatel'nosti promyshlennykh predpriyatii. Samara, 2024. 195 p. (In Russ.).
11. Sukhochev V. I., Valiev Sh. Z. Kak sformirovat' i otsenit' kompetentnost' budushchego menedzhera? Stat'ya vtoraya. Higher Education Today, 2010, no. 4, pp. 57–61. (In Russ.). EDN MGUQFF
12. Gileva Т. А. Digital maturity of the enterprise: Methods of assessment and management. Vestnik UGNTU. Bulletin USPTU. Science, Education, Economy. Series economy, 2019, no. 1 (27), pp. 38–52. (In Russ.). DOI 10.17122/2541-8904-2019-1-27-38-52. EDN WAQCQB
13. Kiykova Е. V., Kiykova D. А. Experience in assessment of personnel readiness for digital transformation of an enterprise. Modern High Technologies, 2021, no. 11-2, pp. 250–254. (In Russ.). DOI 10.17513/snt.38919. EDN AJGXBL
14. Ismagilova L. A., Gileva T. A., Galimova M. P., Glukhov V. V. Digital business model and SMART economy sectoral development trajectories substantiation. Ed. by O. Galinina, S. Andreev, S. Balandin, Y. Koucheryavy. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer, Cham, 2017, pp. 13–28. DOI 10.1007/978-3-319-67380-6_2
15. Macchi M., Fumagalli L. A maintenance, maturity assessment method for the manufacturing industry. Journal of Quality in Maintenance Engineering, 2013, vol. 19, no. 3, pp. 295–315. DOI 10.1108/JQME-05-2013-0027
16. Snow C. C., Fjeldstad Ø. D., Langer A. M. Designing the digital organization. Journal of Organization Design, 2017, vol. 6, Article 7. DOI 10.1186/s41469-017-0017-y
17. Weber C., Königsberger J., Kassner L., Mitschang B. M2DDM – A maturity model for data driven manufacturing. Procedia CIRP, 2017, vol. 63, pp. 173–178. DOI 10.1016/j.procir.2017.03.309
18. Zavareh T., Eigner M. Determination of engineering digitalization maturity. Proceedings of the Design Society, vol. 1, pp. 1193–1202. DOI 10.1017/pds.2021.119
19. Saaty T. L. Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. Pittsburgh, University of Pittsburgh, 2000. 315 p.
20. Novichkov N., Dolganova О., Novichkova А. On the assessment of the company readiness for digital transformation. Obshchestvo i ekonomika, 2018, no. 8, pp. 84–95. (In Russ.). DOI 10.31857/S020736760000815-5. EDN YCMTPN
21. Auer N., Kalemba S., Stormer C., Boehm A., Cetin H., Gutjahr A., Neumann F., Kersken V., Weber G., Zimmermann G. How to measure the accessibility maturity of organizations – A survey on accessibility maturity models for higher education. Frontiers in Computer Science, 2023, vol. 5, Article 1134320. DOI 10.3389/fcomp.2023.1134320
22. Klötzer C., Pflaum A. Toward the development of a maturity model for digitalization within the manufacturing industry’s supply chain. Proceedings of the 50th Annual Hawaii International Conference on System Sciences (HICSS). Ed. by T. X. Bui, R. Sprague (Jr). Hilton Waikoloa Village, Hawaii, IEEE, 2017, pp. 4210–4219. DOI 10.24251/HICSS.2017.509

Show full text