Migration of highly skilled workers as a driver of digital economy development
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Author(s)Yuriy BilanLink to ORCID Index: https://orcid.org/0000-0003-0268-009X
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Halyna MishchukLink to ORCID Index: https://orcid.org/0000-0003-4520-3189
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Olena OliinykLink to ORCID Index: https://orcid.org/0000-0002-3941-2286
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DOIhttp://dx.doi.org/10.21511/kpm.09(2).2025.09
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Article InfoVolume 9 2025, Issue #2, pp. 113-123
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Type of the article: Research Article
The migration of highly skilled workers and its impact on productivity, competitiveness, and innovative development is becoming an increasingly relevant area of scientific research in the context of rapid digitalization of the economy. In this regard, the article aims to explore the relationship between the migration of highly skilled workers and digital economy development (using the example of EU countries). The study was conducted using correlation analysis and parametric data analysis methods, based on EU countries’ statistics on the migration of highly skilled workers, macroeconomic digitalization indicators, and the adoption of digital technologies at the business level. The results confirm that highly skilled migrants positively affect aggregate indicators of economic digitalization: correlation coefficients with the Global Digitalization Index and the DiGiX Digital Index are 0.735 and 0.692, respectively, and are statistically significant. At the company level, a significant influence of highly skilled migrants on the use of specific digital technologies in EU companies was confirmed. In particular, there is a strong correlation between the “Foreign Highly Skilled Personnel” indicator from the IMD World Talent Ranking 2024 and digital intensity indicators (level of application of key business-related digital technologies), as well as business activity in using big data analytics technologies: the correlation coefficients are 0.770 and 0.689, respectively, and are statistically significant. The proposed approach to analyzing the relationship between highly skilled worker migration and the digital development outcomes of companies and host countries can be used to develop and adjust knowledge and human resource productivity management strategies at both the micro- and macroeconomic levels.
Acknowledgment
This study is funded by the Ministry of Education and Science of Ukraine under the project “Higher education in the conditions of war and post-war recovery: Determinants of development to overcome threats to the restoration of human capital” (State registration number 0124U000351).
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JEL Classification (Paper profile tab)F22, J61, L86, О32
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References59
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Tables5
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Figures0
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- Table 1. Dimensions of the Global Digitization Index 2024
- Table 2. Dimensions of the Digital Index 2024
- Table 3. EU business digital transformation indicators
- Table 4. The relationship between the IMD World Talent Ranking “Foreign Highly Skilled Personnel” indicator, GDI, and DiGiX in 2024
- Table 5. Relationship between the IMD World Talent Rankings’ “Foreign Highly Skilled Personnel” indicator and the EU Business Digital Transformation Indicators in 2024
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- Afzal, M. N. I., & Kalra, A. (2024). An investigation on immigration inflows, GDP productivity and knowledge production in selected OECD countries: A panel model analysis. Review of Economics and Political Science, 9(6), 572-589.
- Ahmed, E. M., & Elfaki, K. E. (2024). Green technological progress implications on long-run sustainable economic growth. Journal of the Knowledge Economy, 15(2), 6860-6877.
- Andersson, K. (2019). Digital diaspora: An overview of the research areas of migration and new media through a narrative literature review. Human Technology, 15(2), 142-180.
- Azoulay, P., Jones, B. F., Kim, J. D., & Miranda, J. (2022). Immigration and entrepreneurship in the United States. American Economic Review: Insights, 4(1), 71-88.
- Barišić, A., Ghodsi, M., Landesmann, M., Sabouniha, A., & Stehrer, R. (2024). New technologies, migration and labour market adjustment: An intra-European perspective (Policy Notes and Reports No. 77). The Vienna Institute for International Economic Studies.
- BBVA. (2024). DiGiX 2024 Update: A Multidimensional Index of Digitization.
- Bolzani, D., & Scandura, A. (2024). The role of collaboration networks for innovation in immigrant-owned new technology-based firms. The Journal of Technology Transfer, 49(4), 1203-1233.
- Butticè, V., & Useche, D. (2024). Editorial. Journal of Industrial and Business Economics, 51, 541-549.
- Charles, L., Xia, S., & Coutts, A. P. (2022). Digitalization and employment. International Labour Organization Review, 1-53.
- Chen, J., & Xu, Z. (2024). The Impact of the Digital Divide on Labor Mobility and Sustainable Development in the Digital Economy. Sustainability, 16(22), 9944.
- Deller, S., Conroy, T., & Kures, M. (2023). Immigration and rates of entrepreneurship in large US communities. Local Development & Society, 4(1), 146-171.
- Digital Education Council. (2024). Global AI Student Survey.
- EC. (2024a). The Digital Europe Programme.
- EC. (2024b). Digital Decade 2024: DESI Methodological Note.
- Ewers, M. C., Khattab, N., Babar, Z., & Madeeha, M. (2022). Skilled migration to emerging economies: The global competition for talent beyond the West. Globalizations, 19(2), 268-284.
- Fernandez, V. (2024). Immigrants and the entrepreneurial process: cross-country evidence. International Entrepreneurship and Management Journal, 20(2), 761-805.
- Glennon, B. (2024). Skilled Immigrants, Firms, and the Global Geography of Innovation. Journal of Economic Perspectives, 38(1), 3-26.
- Guo, B., Wang, Y., Zhang, H., Liang, C., Feng, Y., & Hu, F. (2023). Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities. Economic Modelling, 120, 106194.
- Huaping, G., & Binhua, G. (2022). Digital economy and demand structure of skilled talents – analysis based on the perspective of vertical technological innovation. Telematics and Informatics Reports, 7, 100010.
- Huawei. (2025). Global Digitalization Index (GDI) 2024.
- Institute for Management Development (IMD). (2024). World Talent Ranking 2024.
- Jiao, S., & Sun, Q. (2021). Digital economic development and its impact on economic growth in China: Research based on the perspective of sustainability. Sustainability, 13(18), 10245.
- Jooss, S., Lenz, J., & Burbach, R. (2023). Beyond competing for talent: An integrative framework for coopetition in talent management in SMEs. International Journal of Contemporary Hospitality Management, 35(8), 2691-2707.
- Karaboga, T., Gurol, Y. D., Binici, C. M., & Sarp, P. (2021). Sustainable digital talent ecosystem in the new era: Impacts on businesses, governments and universities. Istanbul Business Research, 49(2), 360-379.
- Khalid, B., & Urbański, M. (2021). Approaches to understanding migration: A multi-country analysis of the push and pull migration trend. Economics & Sociology, 14(4), 242-267.
- Kichurchak, M., Paslavska, I., Hrynkevych, O., Mishchuk, H., & Bilan, Y. (2024). Examining Tertiary Education Amid the War in Ukraine: A Synthetic Control Approach. European Journal of Interdisciplinary Studies, 16(2), 95-115.
- Kiseľáková, D., Košíková, M., Miškufová M., & Loumová, V. (2024). Driving factors of the digital economy – how countries can manage their digital development. Polish Journal of Management Studies, 29(2), 311-327.
- Korn Ferry. (2025). The $8.5 Trillion Talent Shortage.
- Kozlovskyi, S., Kulinich, T., Vechirko, I., Lavrov, R., Zayukov, I. & Mazur, H. (2024). Relationship between net migration and economic development of European countries: Empirical conclusions. Problems and Perspectives in Management, 22(1), 605-618.
- Kusairi, S., Wong, Z. Y., Wahyuningtyas, R., & Sukemi, M. N. (2023). Impact of digitalisation and foreign direct investment on economic growth: Learning from developed countries. Journal of International Studies, 16(1), 98-111.
- Labrianidis, L., Sykas, T., Sachini, E., & Karampekios, N. (2023). Innovation as a cause of highly skilled migration: Evidence from Greece. International Migration, 61(3), 222-236.
- Lee, K. M., Kim, M. J., Brown, J. D., Earle, J. S., & Liu, Z. (2024). Are Immigrants More Innovative? Evidence from Entrepreneurs. Journal of Economics & Management Strategy.
- Li, X., Chen, Z., & Chen, Y. (2024). The Impact of Digital Talent Inflow on the Co-Agglomeration of the Digital Economy Industry and Manufacturing. Systems, 12(8), 317.
- Litania, A., & Marsan, G. A. (2023). Attracting Global Talents: Bringing Digital Nomads and the Highly Skilled into ASEAN (No. PB-2023-11).
- ManpowerGroup. (2024). Global Talent Shortage 2024.
- McAuliffe, M., Blower, J., & Beduschi, A. (2021). Digitalization and artificial intelligence in migration and mobility: Transnational implications of the COVID-19 pandemic. Societies, 11(4), 135.
- Mishchuk, H., Oliinyk, O., & Bilan, Y. (2024). Brain gain and country’s resilience: A dependency analysis exemplified by OECD countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 19(2), 591-621.
- Mursalov, M., Yarovenko, H., Vasilyeva, T. (2023). Entrepreneurial Ecosystem and Digitalization: Relationship and Synergy of Development. In Strielkowski, W. (Ed.), Leadership, Entrepreneurship and Sustainable Development Post COVID-19. NILBEC 2022 (pp. 109-127). Springer Proceedings in Business and Economics. Springer, Cham.
- Oliinyk, O., Mishchuk, H., Bilan, Y., & Skare, M. (2022). Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach. Technological Forecasting and Social Change, 182, 121805.
- Petroff, A. (2022). Crowdsourcing in ICT Fields: The Link Between Mobility and Digital Labor Markets in Highly Skilled Tasks. In The Palgrave Handbook of Global Social Change, 1-23. Cham: Springer International Publishing.
- Ren, J., Xu, Z., & Hu, M. (2023). Digital economy and settlement intention of migrants in urban China. Telecommunications Policy, 47(10), 102666.
- Samoliuk, N., Hrynkevych, O., Mishchuk, H., & Bilan, Y. (2024). Ukrainian students on the global map of academic migration. Problems and Perspectives in Management, 22(4), 558-575.
- Schinello, S. (2025). Challenges and opportunities in the use of artificial intelligence in creative economy: Insights from expert interviews. Economics and Sociology, 18(1), 199-216.
- Shukla, S., Bisht, K., Tiwari, K., & Bashir, S. (2023). Comparative study of the global data economy. In Data Economy in the Digital Age: Data-Intensive Research (pp. 55-70). Springer.
- Sinoi, E. A. (2021). The impact of educated migrants and R&D expenditures on innovation. Management & Marketing, 16(1), 13-25.
- Stofkova, J., Poliakova, A., Stofkova, K. R., Malega, P., Krejnus, M., Binasova, V., & Daneshjo, N. (2022). Digital skills as a significant factor of human resources development. Sustainability, 14(20), 13117.
- Tomoiagă, E., & Silaghi, M. I. P. (2023). Internal Migration in Romania. Revisiting the Harris-Todaro Model of Migration. European Journal of Interdisciplinary Studies, 15(2), 176-185.
- Trung, T. T., & Long, H.V. (2025). The influence of socio-psychosocial factors on product judgments and willingness to buy foreign products of Generation Z in Vietnam’s cross-border e-commerce. Innovative Marketing, 21(1), 197-211.
- Turan, U. (2020). A correlation coefficients analysis on innovative sustainable development groups. EUREKA: Social and Humanities, 1(1), 46-55.
- Wachs, J. (2023). Digital traces of brain drain: Developers during the Russian invasion of Ukraine. EPJ Data Science, 12(1), 14.
- Weik, S., Achleitner, A. K., & Braun, R. (2024). Venture capital and the international relocation of startups. Research Policy, 53(7), 105031.
- Wigger, C. (2022). Who with whom? Untangling the effect of high-skilled immigration on innovation. Journal of Economic Geography, 22(2), 449-476.
- Yang, G., Yao, S. & Dong, X. (2023). Digital economy and wage gap between high- and low-skilled workers. DESD, 1, 7.
- Yarovenko, H., Kuzior, A., Norek, T., & Lopatka, A. (2024). The future of artificial intelligence: Fear, hope or indifference? Human Technology, 20(3), 611-639.
- You, J., Xu, X., Liao, D., & Lin, C. (2024). International comparison of the impact of digital transformation on employment. Journal of Asian Economics, 95, 101820.
- Yu, L., Wang, J., Lou, S., & Wei, X. (2024). To leave or to stay: Digital economy development and migrant workers’ location. Journal of Asian Economics, 94, 101792.
- Zhai, X., & Luo, Y. (2025). Can Urban Internet Development Attract Labor Force? Evidence from Chinese Cities. Sustainability, 17(1), 260.
- Zhang, S., Xia, Y., Wang, H., Pan, J., & Lv, G. (2024). Repel or attract? Effects of urban digital infrastructure on labor migration: Evidence from urban China. Cities, 154, 105386.
- Zou, J., & Deng, X. (2022). To inhibit or to promote: How does the digital economy affect urban migrant integration in China? Technological Forecasting and Social Change, 179, 121647.
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