| Annotation: | Methods. The methodological framework of the study is based on general scientific and specialized methods of cognition, including analysis and synthesis, induction and deduction, as well as systemic and structural-functional approaches. The research employs a comparative analysis of digital HR platforms and recruitment systems, generalization of empirical research findings and case studies of international companies, and analysis of statistical and analytical data from specialized organizations (SHRM, Exploding Topics, etc.). Elements of content analysis of contemporary academic publications in the field of digital HRM and HR marketing are also applied. Results. The paper identifies and substantiates the main directions of the impact of digitalization on HR marketing processes, particularly by highlighting the role of digital platforms and automated tools in increasing recruitment efficiency, enhancing employee engagement, and personalizing employee development. It is demonstrated that digitalization significantly transforms HR marketing processes by improving recruitment efficiency, reducing time-to-hire, enhancing the quality of candidate selection, and increasing employee engagement levels. The key role of artificial intelligence and HR analytics in the personalization of HR practices, prediction of employee turnover, performance management, and employer branding is revealed. The advantages and risks of digital HR solutions are systematized, including those related to data quality, as well as ethical and legal aspects of their use. The study analyzes the application of candidate sourcing platforms (LinkedIn, Xing, JobTeaser, etc.), Applicant Tracking Systems (ATS), which support CV filtering, automated data verification, and analysis of recruitment process effectiveness, as well as digital learning platforms and analytical tools. It is proven that the integration of HR analytics into strategic management contributes to increased organizational effectiveness and sustainable development of companies. Novelty. The level of scientific novelty lies in a comprehensive approach to assessing the impact of digitalization on HR marketing, which integrates operational HR processes with analytical tools for managerial decision support. The study substantiates the feasibility of considering HR analytics not merely as a tool for monitoring indicators, but as a strategic mechanism for shaping HR marketing decisions in the digital environment. A systematization of the functional capabilities of digital HR platforms and analytical tools across the stages of the employee life cycle is proposed, and the prospects for the development of HR analytics under conditions of global digital transformation are outlined. Practical value. The practical value of the research results lies in their applicability for executives, HR managers, and HR marketing specialists in developing and improving digital HR strategies, implementing HR analytics in managerial decision-making processes, and optimizing recruitment, onboarding, and employee development. The materials of the article may also be used in the educational process for training specialists in human resource management and business analytics. |
| Literature: | - 1. José Manuel Montero Guerra, Ignacio Danvila-del-Valle, & Mariano Méndez-Suárez. (2023) The impact of digital transformation on talent management. Technological Forecasting and Social Change, Vol. 188. DOI: https://doi.org/10.1016/j.techfore.2022.122291.
- 2. Mo’men Hani Mahmoud, Ahmad Ali Ali, Abdallah Ali Alrifae, Rany Abu Eitah, & Mohammad Mahmoud AlZubi. (2025). The impact of digital HRM system and digital transformation on HR efficiency with organizational agility as a moderator. Discover Sustainability, Vol. 6, 1038. DOI: https://doi.org/10.1007/s43621-025-01713-9.
- 3. Azra Ahmić. (2025). Digital human resource management influence on the organizational resilience. Organization Management Journal, Vol. 22, No 2, pp. 111-125. DOI: https://doi.org/10.1108/OMJ-09-2024-2299.
- 4. Makhmudov, Kh., & Chukhlib, V. (2023). Vplyv tsyfrovykh tekhnolohii na efektyvnist upravlinnia personalom. Problemy i perspektyvy ekonomiky ta upravlinnia, 4(32), 17-26. DOI: https://doi.org/10.25140/2411-5215-2022-4(32)-17-26.
- 5. Kravchuk, О., Varis, І., & Rubel, K. (2024). Tsyfrovizatsiia menedzhmentu personalu: kontseptualni aspekty ta tendentsii. Problemy suchasnykh transformatsii. Seriia: ekonomika ta upravlinnia, (12). DOI: https://doi.org/10.54929/2786-5738-2024-12-07-04.
- 6. Berger, A., & Istomin, A. (2025). Tsyfrovizatsiia biznes-protsesiv v upravlinni personalom dlia rozvytku kadrovoho potentsialu pidpryiemstva. Kyivskyi ekonomichnyi naukovyi zhurnal, (11), 22-28. DOI: https://doi.org/10.32782/2786-765X/2025-11-3.
- 7. M Force Partners. (2025). The Social Media Revolution: How Recruitment is Evolving in the Digital Age. Linkedin. Retrieved from https://www.linkedin.com/pulse/social-media-revolution-how-recruitment-evolving-jzsxe/.
- 8. Prasad R. Chavan, Yash Chandurkar, Ankita Tidake, Gaurav Lavankar, Suhani Gaikwad, & Rohit Chavan. (2024). Enhancing recruitment efficiency: An advanced Applicant Tracking System (ATS). Industrial Management Advances, Vol 2, No 1. DOI: https://doi.org/10.59429/ima.v2i1.6373.
- 9. Mitra Madanchian. (2024). From Recruitment to Retention: AI Tools for Human Resource Decision- Making. Applied Sciences, Vol 14, No 24. DOI: https://doi.org/10.3390/app142411750
- 10. Pinco O., Salanta I.I., Beleiu I.N., & Crisan E.L. (2025). The onboarding process: a review. VILAKSHAN - XIMB Journal of Management, Vol. 22, No. 1, 2-13, DOI: https://doi.org/10.1108/XJM-01-2024-0008.
- 11. Josh Howarth. (2024). 70+ Employee Onboarding Statistics. Exploding Topics. 2025. Retrieved from https://explodingtopics.com/blog/employee-onboarding-stats.
- 12. Laura Caveney. (2025). 35 Onboarding Statistics for 2026: Key Trends & Insights. BuildEmpire Ltd. Retrieved from https://buildempire.co.uk/onboarding-statistics/.
- 13. Matthew Kosinski. (2023). Onboarding: The Key to Elevanting Your Company Culture. SHRM. Re- trieved from https://www.shrm.org/executive-network/insights/onboarding-key-to-elevating-company-culture.
- 14. Sergiy Movchan. (2025). Employee Onboarding Automation: A Complete Guide. Raccoon Gang. Retrieved from https://raccoongang.com/blog/automate-onboarding-process/.
- 15. Xiaoyu Huang, Fu Yang, Jiaming Zheng, Cailing Feng, Lihua Zhang. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, Vol. 28, No. 4, 598-610. DOI: https://doi.org/10.1016/j.apmrv.2023.04.004.
- 16. People Analytics. (2025). McKinsey & Company. Retrieved from https://www.mckinsey.com/solutions/orgsolutions/overview/people-analytics.
- 17. Yarlagadda, V. K., Maddula, S. S., Sachani, D. K., Mullangi, K., Anumandla, S. K. R., & Patel, B. (2020). Unlocking Business Insights with XBRL: Leveraging Digital Tools for Financial Transparency and Efficiency. Asian Accounting and Auditing Advance- ment, Vol. 11, No. 1, 101-116. URL: https://4ajournal.com/article/view/94.
- 18. van den Heuvel S, Bondarouk T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Perfor- mance, Vol. 4, No. 2, 157-178. DOI: https://doi.org/10.1108/JOEPP-03-2017-0022.
- 19. Yasitha De Alwis. (2023). Predictive Models in Human Resources: Enhancing Decision-Making and Performance. Medium. Retrieved from https://medium.com/@ydealwis/predictive-models-in-human-resources-enhancing-decision-making-and-performance-6bf528327d95.
- 20. Vaiman V, Scullion H, & Collings D. (2012). Talent management decision making. Management Decision, Vol. 50, No. 5, 925-941. DOI: https://doi.org/10.1108/00251741211227663.
- 21. Baysa.io. (2023). Project Oxygen - What can we learn from the way Google train their managers? Linkedin. Retrieved from https://www.linkedin.com/pulse/project-oxygen-what-can-we-learn-from-way-google-train-managers/.
- 22. IBM. IBM Watson Talent Frameworks for General Corporate Functions. Retrieved from https://static1.squarespace.com/static/583ef9a2d1758e46ff432d01/t/5d149c914aeffa00013d5af8/1561631889794/IBM+WTF+Corporate.pdf.
|