The relevance of implementing the employee digital profile as an element of the employer’s HR policy
https://doi.org/10.52468/2542-1514.2025.9(2).148-158
Abstract
The subject. Economic, technological and geopolitical changes are leading to the digitalization of virtually all structures of the labor market: from the process of production and human resources management to the organization of the workplace. The use of new digital technologies makes it possible to give up routine human labor, contribute to improving the quality of working life of employees and employers, and increase industrial production, which means economic growth of the state. Thus, in accordance with the National Security Strategy, approved by the Decree of the President of the Russian Federation dated July 2, 2021 No. 400, the situation in the production industry is one of the key criteria of Russia's competitiveness and contributes to the strengthening of the state's defense capability. Ensuring Russia's independence and competitiveness was also announced to be the main goal of the Strategy for Scientific and Technological Development of the Russian Federation, approved by Presidential Decree No. 642 dated December 1, 2016. On the other hand, the use of new technologies may have time-delayed risks. The most important risk today is the increasing release of labor force and mass cuts of jobs requiring average qualifications, as well as dismissal of employees due to failure to pass tests because of the lack of skills in digital tools.
The purpose of the study was to substantiate the urgent character of the implementation of digital profile programs as a part of the employer's personnel policy to achieve the objectives set in the National Security Strategy of the Russian Federation dated 2021.
The methodology of comprehensive research, including methods of document analysis, comparative analysis, secondary use of sociological and economic data were used.
Main results. The study shows that the use of the employee digital profile programs will allow the employer to identify weaknesses in any of the employee’s skills well in advance, and to pave individual learning pathway, based on his/her preferences, hobbies and intentions, in order to upgrade the skills. It is deemed that the competence of employees is a factor for transfer of any business to digitalization. This policy of the employer will allow to cover for low-quality job cut and give personnel the minimum knowledge that makes it possible to acquire information on modern information technologies, be able to use it to solve the set problems and have necessary skills and technology, which will facilitate solution of the problems. Ultimately, these are tools to achieve the tasks set by the state in the framework of the state's defensive capability and competitiveness. At the same time, the lack of normative methodologies for the creation and operation of employee digital profiles and comprehensive scientific research predetermine increasing risks of violation of personal data of employees, privacy of employees, as well as discrimination in making legally significant decisions. Today there are no normative standards of data processing and system interaction, which leads to the diminution of guarantees of employees' rights in terms of respect for personal data and other data in terms of classified information.
About the Author
O. V. ShcherbakovaRussian Federation
Olesya V. Shcherbakova – PhD in Law, Associate Professor, Department of Labor Law
21, Komsomol’skaya ul., Yekaterinburg, 620137
ResearcherID: AAS-1653-2020
AuthorID: 974365
References
1. Serova A. Introduction of digital technologies in the interaction of subjects of employment relations with a given employer. Elektronnoe prilozhenie k «Rossiiskomu yuridicheskomu zhurnalu» = Electronic supplement to "Russian Juridical Journal", 2019, no. 5, pp. 65–71 (In Russ.).
2. Shcherbakova O. The use of artificial intelligence programs when recruiting employees. Elektronnoe prilozhenie k «Rossiiskomu yuridicheskomu zhurnalu» = Electronic supplement to "Russian Juridical Journal", 2021, no. 3, pp. 72–76. (In Russ.).
3. Golovina S.Yu., Zaytseva L.V. Electronic personnel document management: from legal experiment to practice. Pravoprimenenie = Law Enforcement Review, 2022, vol. 6, no. 2, pp. 241–256. DOI: 10.52468/25421514.2022.6(2).241-256.
4. Golovina S.Yu., Shcherbakova O.V. A new era in the labor protection of workers: safe and healthy environment as one of the goals of sustainable development. Meditsina truda i promyshlennaya ekologiya = Russian Journal of Occupational Health and Industrial Ecology, 2022, vol. 62, no. 5, pp. 344–352. DOI: 10.31089/1026-9428-202262-5-344-352. (In Russ.).
5. Saleem F., Malik M.I. Technostress, Quality of Work Life, and Job Performance: A Moderated Mediation Model. Behavioral Sciences, 2023, vol. 13, iss. 12, art. 1014. DOI: 10.3390/bs13121014.
6. Dokholyan S.V. Transformation of social-labor relations under the influence of digitalization of the economy. Narodonaselenie = Population, 2023, vol. 26, no. 4, pp. 123–132. DOI: 10.19181/population.2023.26.4.11. (In Russ.).
7. Izbienova T.A. Monitoring of social networks of an employee: private life or work. Kadrovik = HR Manager, 2023, no. 11, pp. 64–71. (In Russ.).
8. Shuraleva S.V. The right to privacy of a remote employee. Trudovoe pravo v Rossii i za rubezhom = Labor law in Russia and abroad, 2021, no. 4, pp. 32–34. (In Russ.).
9. Riaz M., He J., Xie K., Alsagri H.S., Moqurrab S.A., Alhakbani H.A.A., Obidallah W.J. Enhancing Workplace Safety: PPE_Swin—A Robust Swin Transformer Approach for Automated Personal Protective Equipment Detection. Electronics, 2023, vol. 12, iss. 22, art. 4675. DOI: 10.3390/electronics12224675.
10. Joia L.A., Leonardo L.F. The COVID-19 Pandemic and the Digital Transformation of Workplace: The Social Representation of Home-Office. Sustainability, 2023, vol. 15, iss. 20, art. 14987. DOI: 10.3390/su152014987.
11. Consiglio C., Massa N., Sommovigo V., Fusco L. Techno-Stress Creators, Burnout and Psychological Health among Remote Workers during the Pandemic: The Moderating Role of E-Work Self-Efficacy. International Journal of Environmental Research and Public Health, 2023, vol. 20, iss. 22, art. 7051. DOI: 10.3390/ijerph20227051.
12. Rey-Merchán M. del C., López-Arquillos A. Management of Technostress in Teachers as Occupational Risk in the Context of COVID-19. Medical Sciences Forum, 2021, vol. 4, iss. 1, art. 5. DOI: 10.3390/ECERPH-3-08999.
13. Andreev D.A., Andreyanova I.V., Bulgakova I.V., Vasil'eva M.V., Demidova S.E., Doroshenko T.N., Kalpinskaya O.E., Makarova E.A., Motailenko L.V., Naumova E.N., Petrova O.S., Rozhkova A.YU., Serova O.A., Soboleva O.A., Shlyakhtova L.M. Competencies in the digital economy: modern personnel challenge, Monograph. Moscow, RUSAINS Publ., 2020. 216 p. (In Russ.).
14. Tomashevski K.L. Digitalization and its impact on the labour market and employment relations (theoretical and comparative legal aspects). Vestnik Sankt-Peterburgskogo universiteta. Pravo = Vestnik of Saint Petersburg University. Law, 2020, vol. 11, iss. 2, pp. 398–413. DOI: 10.21638/spbu14.2020.210. (In Russ.).
15. Arntz M., Gregory T., Zierahn U. The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis, OECD Social, Employment and Migration Working Papers; No. 189. Paris, OECD Publ., 2016. 34 p. DOI: 10.1787/5jlz9h56dvq7-en.
16. OECD. OECD Skills Studies OECD Skills Strategy Lithuania: Assessment and Recommendations. Paris, OECD Publ., 2021. 260 p. DOI: 10.1787/14deb088-en.
17. Bacher J., Tamesberger D. The Corona Generation: (Not) Finding Employment during the Pandemic. CESifo Forum, 2021, vol. 22, no. 4, pp. 3–7.
18. Lukauskas M., Šarkauskaitė V., Pilinkienė V., Stundžienė A., Grybauskas A., Bruneckienė J. Enhancing Skills Demand Understanding through Job Ad Segmentation Using NLP and Clustering Techniques. Applied Sciences, 2023, vol. 13, iss. 10, art. 6119. DOI: 10.3390/app13106119.
19. World Manufacturing Forum. Skills for the Future of Manufacturing, 2019 World Manufacturing Forum Report. 2019. 107 p. Available at: https://c00e521c-fc35-464f-8eef-9356e02fbfb5.filesusr.com/ugd/c56fe3_d617f7333fd347b0b2bb4a739ba72993.pdf (accessed: December 3, 2023).
20. Enkel E., Bell J., Hogenkamp H. Open innovation maturity framework. International Journal of Innovation Management, 2011, vol. 15, pp. 1161–1189.
21. Vanhaverbeke W., Cloodt M. Theories of the Firm and Open Innovation, in: Chesbrough H., Vanhaverbeke W., West J. (eds.). New Frontiers in Open Innovation, Oxford, UK, Oxford University Press, 2014, pp. 256–278. DOI: 10.1093/acprof:oso/9780199682461.003.0014.
22. Nielsen P., Holm J.R., Lorenz E. Work policy and automation in the fourth industrial revolution, in: Christensen J.L., Gregersen B., Holm J.R., Lorenz E. (eds.). Globalisation, New and Emerging Technologies, and Sustainable Development: The Danish Innovation System in Transition, Abingdon, UK, Routledge Publ., 2020, pp. 189–207. DOI: 10.4324/9781003037750-14.
23. Lloyd C., Payne J. Rethinking country effects: Robotics, AI and work futures in Norway and the UK. New Technology, Work and Employment, 2019, vol. 34, iss. 3, pp. 208–225. DOI: 10.1111/ntwe.12149.
24. Frey C.B., Osborne M.A. The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting and Social Change, 2017, vol. 114, pp. 254–280. DOI: 10.1016/j.techfore.2016.08.019.
25. Nedelkoska L., Quintini G. Automation, skills use and training, OECD Social, Employment and Migration Working Papers; No. 202. Paris, OECD Publ., 2018. 124 p. DOI: 10.1787/2e2f4eea-en.
26. Rozhkova A.Yu. Legal status of an employee: digital profile and digital income. Yuridicheskii Vestnik Dagestanskogo gosudarstvennogo universiteta = Law herald of Dagestan state university, 2021, vol. 38, no. 2, pp. 99– 107. DOI: 10.21779/2224-0241-2021-38-2-99-107. (In Russ.).
27. Nureni A.A., Oghenerunor O.A. Digital Twin Technology: A Review of Its Applications and Prominent Challenges. Covenant Journal of Informatics and Communication Technology, 2022, vol. 10, no. 2, available at: https://journals.covenantuniversity.edu.ng/index.php/cjict/article/view/2995.
28. Barykin S., Kalinina O., Aleksandrov I., Konnikov E., Yadikin V., Draganov M. Personnel Management Digital Model Based on the Social Profiles’ Analysis. Journal of Open Innovation: Technology, Market, and Complexity, 2020, vol. 6, iss. 4, art. 152. DOI: 10.3390/joitmc6040152.
29. Trenina M.A. Development of an HR management model based on an employee’s digital profile, in: Informatsionnye tekhnologii v modelirovanii i upravlenii: podkhody, metody, resheniya, Proceedings of the VI All-Russian scientific conference with international participation, Tolyatti, 2023, pp. 263–270. (In Russ.).
30. Trunin G.A. Digital twins of the profiles of employees of the Federal Customs Service as a personnel development system element. Tamozhennoe delo = Customs affairs, 2023, no. 3, pp. 28–31. (In Russ.).
31. Tobien M.A., Markhaichuk M.M., Kosareva O.A. Digital profile as an essential element of the information infrastructure of the digital economy. Problemy teorii i praktiki upravleniya, 2021, no. 11, pp. 177–192. (In Russ.).
Review
For citations:
Shcherbakova O.V. The relevance of implementing the employee digital profile as an element of the employer’s HR policy. Law Enforcement Review. 2025;9(2):148-158. https://doi.org/10.52468/2542-1514.2025.9(2).148-158