Vol. 53 No. 4 (2025): Published December 30, 2025
DOI https://doi.org/10.18799/26584956/2025/4/2076
Human capital assessment using platform data from digital labor market intermediaries
Recent studies on regional differences, labor shortages, employment quality assessments, and the development of employee knowledge, skills, and abilities have increasingly relied on data from job posting and resume aggregator websites. This article is based on the systematization and critical analysis of existing international approaches to defining and classifying digital labor market intermediaries, as well as a comparison of similar platforms operating in Russia and Kazakhstan. Relevance. The development of digital technologies and the emergence of new platforms offering analytical services and tools for adapting to labor market signals have increased interest in the use of such sources in academic practice. Therefore, determining the scientific value and scope of digital information collected by platforms that record parameters of personnel demand and labor supply is particularly important. Aim. To identify the potential and limitations of using data from digital labor market intermediaries in assessing employment and human capital (using online services in Russia and Kazakhstan as examples). Methods. Research design was developed based on the use of general scientific methods of induction and deduction, analysis, comparison, and generalization. Comparison and generalization were used to refine the typology of digital intermediaries; bibliometric analysis was used to identify transformations in the thematic structure of scientific discourse on human capital; and a comparison of labor market tension indicators in Russia and Kazakhstan was included in the final empirical part of the study. Results. Job and resume aggregator websites evolved into hybrid platforms that not only post and search for job openings and resumes but also provide services focused on career planning and adaptation to labor market demands. A new class of platforms is currently emerging that utilize machine learning and artificial intelligence tools. These platforms generate and transmit signals about personnel shortages and the structure of demand for professions and competencies, thereby affecting formation, accumulation, and use of human capital. The paper proposes a typology of digital labor market intermediaries, demonstrates the research potential of their application for cross-country comparisons in the context of incomparable or absent official statistics, and identifies key methodological limitations that must be taken into account when planning the stages of research work.
Keywords:
digital intermediaries, human capital, platform, labor market, sustainable development goals, decent work
References:
СПИСОК ЛИТЕРАТУРЫ
1. IMF et al. Handbook on measuring digital trade. – Geneva: OECD Publ., Paris/International Monetary Fund/UNCTAD, Geneva 10/WTO, 2023. DOI: 10.1787/ac99e6d3-en.
2. Digitalization task team, advisory expert group on national accounts, 2021, November 15–19. Draft guidance note on «Incorporating Digital Intermediary Platforms into the national accounts». Agenda item 7.3, Document SNA/M3.21/7.3. 17th Meeting of the Advisory expert group on national accounts. URL: https://unstats.un.org/unsd/nationalaccount/aeg/2021/M17/M17_7_3_Digital_Intermediary_Platforms.pdf (дата обращения 20.08.2025).
3. An introduction to online platforms and their role in the digital transformation. – Paris: OECD Publ., 2019. DOI: 10.1787/53e5f593-en.
4. Autor D.H. Studies of labor market intermediation: introduction // Studies of labor market intermediation. – Chicago: University of Chicago Press, 2009. – Р. 1–26.
5. McDonald S., Damarin A.K., Membrez-Weiler, N.J. Organizational perspectives on digital labor market intermediaries // Sociology compass. – 2023. – Vol. 17. – Iss. 4. – e13061. DOI: 10.1111/soc4.13061.
6. Вишневская Н.Г. Рынок труда стран СНГ: сравнительный анализ конъюнктурных особенностей // Региональная экономика: теория и практика. – 2015. – № 37 (412). – с. 58–71. EDN: ULQSBD.
7. Волгин А.Д., Гимпельсон В.Е. Спрос на навыки: анализ на основе онлайн данных о вакансиях // Экономический журнал Высшей школы экономики. – 2022. – Т. 26. – № 3. – С. 343–374. DOI: 10.17323/1813-8691-2022-26-3-343-374. EDN: OIHUWF.
8. Баетова Д.Р. Требования регионального рынка труда к цифровым компетенциям // XIII Экономические чтения: Глобальные вызовы и векторы регионального социально-экономического развития: материалы Всероссийской научно-практической конференции. – Томск: Издательство Томского государственного университета, 2023. – С. 16–20. EDN: LHDKXW.
9. Куксенок С.В. Человеческий капитал в условиях структурных дисбалансов регионального рынка труда // Экономическое развитие России. – 2025. – Т. 32. – № 8. – C. 37–41. EDN: ELLKGK.
10. Capello R., Ciappei S., Lenzi C. Digitalisation, platformisation and the transformations of local labour markets // Papers in Regional Science. – 2025 – № 104. – 100103. DOI: https://doi.org/10.1016/j.pirs.2025.100103.
11. Куксенок С.В. От физического к социальному и цифровому: библиометрический анализ эволюции теоретических подходов к человеческому капиталу // Экономика сегодня: современное состояние и перспективы развития (Вектор-2025): сборник материалов Всероссийской научной конференции молодых исследователей с международным участием. – Москва: Российский государственный университет им. А.Н. Косыгина (Технологии. Дизайн. Искусство), 2025. – C. 275–279. EDN: FUKKST.
12. Топ-20 фронтиров мировой науки: 2024. Исследование ИСИЭЗ НИУ ВШЭ. URL: https://issek.hse.ru/news/1021755371.html (дата обращения 20.08.2025).
13. Dimensions AI. The most advanced scientific research database. 2025. URL: https://app.dimensions.ai/ (дата обращения 20.08.2025).
14. РосНавык: анализ рынка труда на основе больших данных и ИИ. URL: https://rosnavyk.ru/ (дата обращения 20.08.2025).
15. Мансап компасы: цифровая экосистема возможностей. URL: https://mansap.enbek.kz/ (дата обращения 20.08.2025).
16. Коэффициент напряжённости на рынке труда. 2025 // ЕМИС: государственная статистика. URL: https://fedstat.ru/indicator/59028 (дата обращения 20.08.2025).
17. Сравнение показателей по регионам, профобластям и периодам на 2024−2025 гг. Российская Федерация // HH: статистика. URL: https://stats.hh.ru/comparison (дата обращения 20.08.2025).
18. Сравнение показателей по регионам, профобластям и периодам на 2024−2025 гг. Казахстан // HH: статистика. URL: https://stats.hh.kz/comparison (дата обращения 20.08.2025).
19. GazStat. Бюро национальной статистики агентства по стратегическому планированию и реформам Республики Казахстан. URL: https://stat.gov.kz/ru/ (дата обращения 20.08.2025).
20. Талдау. Информационно-аналитическая система. Бюро Национальной статистики Агентства по стратегическому планированию и реформам Республики Казахстан. URL: https://taldau.stat.gov.kz/ru/Search/SearchByKeyWord (дата обращения 20.08.2025).
21. Капелюшников Р.И. Экспансия вакансий на российском рынке труда: динамика, структура, триггеры // Вопросы экономики. – 2024. – № 7. – C. 81–111. DOI: https://doi.org/10.32609/0042-8736-2024-7-81-111. EDN: FWPMZT.
22. OECD. OECD Employment Outlook 2025: Can We Get Through the Demographic Crunch? 2025. URL: https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/07/oecd-employment-outlook-2025_5345f034/194a947b-en.pdf (дата обращения 20.08.2025).
23. Macroeconomic and labor market drivers of ai adoption in Europe: a machine learning and panel data approach / C. Drago, A. Costantiello, M. Savorgnan, A. Leogrande // Economies. – 2025. – Vol. 13. – Iss. 8. – 226. DOI: https://doi.org/10.3390/economies13080226.
REFERENCES
1. IMF et al. Handbook on measuring digital trade. Geneva, OECD Publ., Paris/International Monetary Fund/UNCTAD, Geneva 10/WTO, 2023. DOI: 10.1787/ac99e6d3-en.
2. Digitalization task team, advisory expert group on national accounts, 2021, November 15–19. Draft guidance note on «Incorporating Digital Intermediary Platforms into the national accounts». Agenda item 7.3, Document SNA/M3.21/7.3. 17th Meeting of the Advisory expert group on national accounts. Available at: https://unstats.un.org/unsd/nationalaccount/aeg/2021/M17/M17_7_3_Digital_Intermediary_Platforms.pdf (accessed 20 August 2025).
3. An introduction to online platforms and their role in the digital transformation. Paris, OECD Publ., 2019. DOI: 10.1787/53e5f593-en.
4. Autor D.H. Studies of labor market intermediation: introduction. Studies of Labor Market Intermediation. Ed. by D.H. Autor. Chicago, University of Chicago Press, 2009. pp. 1–23.
5. McDonald S., Damarin A.K., Membrez-Weiler, N.J. Organizational perspectives on digital labor market intermediaries. Sociology compass, 2023, vol. 17, Iss. 4. DOI: 10.1111/soc4.13061.
6. Vishnevskaya N.G. Labor markets in the cis countries: a comparative analysis of the market conditions. Regional economics: theory and practice, 2015, no. 37 (412), pp. 58–71. (In Russ.) EDN: ULQSBD.
7. Volgin A.D., Gimpelson V.E. Demand for skills: analysis using online vacancy data. HSE economic journal, 2022, vol. 26, no. 3, pp. 343–374. (In Russ.) DOI: 10.17323/1813-8691-2022-26-3-343-374. EDN: OIHUWF.
8. Baetova D.R. Requirements of the regional labor market for digital competencies: drivers of professional development. XIII Economic Readings: Global Visions and Vectors of Regional Socio-Economic Development. Proc. of the All-Russian Scientific and Practical Conference. Tomsk, National Research Tomsk State University Publ., 2023. pp. 16–20. (In Russ.) EDN: LHDKXW.
9. Kuksenok S.V. Human capital under structural imbalances of the regional labor market. Russian economic development, 2025, vol. 32, no. 8, pp. 37–41. (In Russ.) EDN: ELLKGK.
10. Capello R., Ciappei S., Lenzi C. Digitalisation, platformisation and the transformations of local labour markets. Papers in Regional Science, 2025, no. 104, 100103. DOI: https://doi.org/10.1016/j.pirs.2025.100103.
11. Kuksenok S.V. From physical to social and digital: a bibliometric analysis of the human capital discourse. Economy Today: Current State and Prospects for Development (Vector‑2025). Proc. of the All‑Russian scientific conference of young researchers with international participation. Moscow, Kosygin University (Technologies. Design. Art) Press, 2025. pp. 275–279. (In Russ.) EDN: FUKKST.
12. Top‑20 Frontiers of World Science: 2024. Research by the HSE Institute for Statistical Studies and Economics of Knowledge. (In Russ.) Available at: https://issek.hse.ru/news/1021755371.html (accessed 20 August 2025).
13. Dimensions AI. The most advanced scientific research database. 2025. Available at: https://app.dimensions.ai/ (accessed 20 August 2025).
14. RosNavyk: Labor Market Analytics Powered by Big Data and AI. (In Russ.) Available at: https://rosnavyk.ru/ (accessed 20 August 2025).
15. Mansap Compasses: digital ecosystem of opportunities. (In Russ.) Available at: https://mansap.enbek.kz/ (accessed 20 August 2025).
16. Labor market tension coefficient. 2025. EMIS: State Statistics. (In Russ.) Available at: https://fedstat.ru/indicator/59028 (accessed 20 August 2025).
17. Comparison of indicators by regions, professional fields, and periods for 2024–2025. Russian Federation. HH: statistics. (In Russ.) Available at: https://stats.hh.ru/comparison (accessed 20 August 2025).
18. Comparison of indicators by regions, professional fields, and periods for 2024–2025. Kazakhstan. HH: statistics. (In Russ.) Available at: https://stats.hh.kz/comparison (accessed 20 August 2025).
19. GazStat. Bureau of National Statistics. Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. (In Russ.) Available at: https://stat.gov.kz/ru/ (accessed 20 August 2025).
20. Taldau. Information-analytical system of the Bureau of National statistics of the Agency for strategic planning and reforms of the Republic of Kazakhstan. (In Russ.) Available at: https://taldau.stat.gov.kz/ru/Search/SearchByKeyWord (accessed 20 August 2025).
21. Kapeliushnikov R.I. Expansion of vacant jobs in the Russian labor market: dynamics, composition, triggers. Voprosy Ekonomiki, 2024, no. 7, pp. 81–111. (In Russ.) DOI: https://doi.org/10.32609/0042-8736-2024-7-81-111 EDN: FWPMZT
22. OECD. OECD Employment Outlook 2025: Can We Get Through the Demographic Crunch? 2025. Available at: https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/07/oecd-employment-outlook-2025_5345f034/194a947b-en.pdf (accessed 20 August 2025).
23. Drago C., Costantiello A., Savorgnan M., Leogrande A. Macroeconomic and labor market drivers of AI adoption in Europe: a machine learning and panel data approach. Economies, 2025, vol. 13, Iss. 8, 226. DOI: https://doi.org/10.3390/economies13080226.
